From 627102bcd400d6ae0ee8f87177ae3c30b6070aaa Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Wed, 31 Jul 2024 09:47:28 +0800 Subject: [PATCH 001/160] compare command --- .../msprobe/pytorch/compare/acc_compare.py | 42 +++++++++++++++---- 1 file changed, 35 insertions(+), 7 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index ea9323ae09..59e5faca59 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -649,18 +649,21 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) -def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, - fuzzy_match=False): +# def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, +# fuzzy_match=False): +def compare(args): + #### 需要增加文件路径路径校验 + input_param = json.load(args.input_path) try: summary_compare, md5_compare = task_dumppath_get(input_parma) - check_configuration_param(stack_mode, auto_analyze, fuzzy_match) - create_directory(output_path) - check_compare_param(input_parma, output_path, stack_mode, summary_compare, md5_compare) + check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) + create_directory(args.output_path) + check_compare_param(input_param, args.output_path, args.stack_mode, summary_compare, md5_compare) except CompareException as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - compare_core(input_parma, output_path, stack_mode=stack_mode, - auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + compare_core(input_param, args.output_path, stack_mode=args.stack_mode, + auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, md5_compare=md5_compare) @@ -1032,3 +1035,28 @@ def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): else: result_item.extend([CompareConst.NONE, "-1"]) result.append(result_item) + + +def _compare_parser(parser): + parser.add_argument("-i", "--input_path", dest="input_path", type=str, + help=" The compare input path, a dict json.", required=True) + parser.add_argument("-o", "--out_path", dest="out_path", type=str, + help=" The compare task result out path.", required=True) + parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", + help=" Whether to save stack info.", required=False) + parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_true", + help=" Whether to give advisor.", required=False) + parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", + help=" Whether to perform a fuzzy match on the api name.", required=False) + + +def _compare(parser=None): + if not parser: + parser = argparse.ArgumentParser() + _compare_parser(parser) + args = parser.parse_args(sys.argv[1:]) + compare(args) + + +if __name__ == '__main__': + _compare() -- Gitee From a9e4f432835b01f4e01ab394774e0592a14355c3 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Wed, 31 Jul 2024 10:29:21 +0800 Subject: [PATCH 002/160] compare command --- debug/accuracy_tools/msprobe/msprobe.py | 5 +++++ .../accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 7 ++++--- 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 698165b615..12b04920a9 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -22,6 +22,7 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ _api_precision_compare_command from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command +from msprobe.pytorch.compare.acc_compare import _compare_parser, compare def main(): @@ -36,10 +37,12 @@ def main(): help='Deep learning framework.') subparsers = parser.add_subparsers() subparsers.add_parser('parse') + compare_cmd_parser = subparsers.add_parser('run_ut') run_ut_cmd_parser = subparsers.add_parser('run_ut') multi_run_ut_cmd_parser = subparsers.add_parser('multi_run_ut') api_precision_compare_cmd_parser = subparsers.add_parser('api_precision_compare') run_overflow_check_cmd_parser = subparsers.add_parser('run_overflow_check') + _compare_parser(compare_cmd_parser) _run_ut_parser(run_ut_cmd_parser) _run_ut_parser(multi_run_ut_cmd_parser) multi_run_ut_cmd_parser.add_argument('-n', '--num_splits', type=int, choices=range(1, 65), default=8, @@ -61,6 +64,8 @@ def main(): _api_precision_compare_command(args) elif sys.argv[3] == "run_overflow_check": _run_overflow_check_command(args) + elif sys.argv[3] == "compare": + compare(args) if __name__ == "__main__": diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 59e5faca59..88c8395116 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -653,9 +653,10 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): # fuzzy_match=False): def compare(args): #### 需要增加文件路径路径校验 - input_param = json.load(args.input_path) + with FileOpen(args.input_path, "r") as file: + input_param = json.load(file) try: - summary_compare, md5_compare = task_dumppath_get(input_parma) + summary_compare, md5_compare = task_dumppath_get(input_param) check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) create_directory(args.output_path) check_compare_param(input_param, args.output_path, args.stack_mode, summary_compare, md5_compare) @@ -1040,7 +1041,7 @@ def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): def _compare_parser(parser): parser.add_argument("-i", "--input_path", dest="input_path", type=str, help=" The compare input path, a dict json.", required=True) - parser.add_argument("-o", "--out_path", dest="out_path", type=str, + parser.add_argument("-o", "--output_path", dest="output_path", type=str, help=" The compare task result out path.", required=True) parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", help=" Whether to save stack info.", required=False) -- Gitee From b1e3888cad4621632a4cfd981891a68fa222872f Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 31 Jul 2024 22:33:59 +0800 Subject: [PATCH 003/160] =?UTF-8?q?=E5=A2=9E=E5=8A=A0=E4=BA=86mindspore?= =?UTF-8?q?=E7=9A=84=E5=90=8C=E6=A1=86=E6=9E=B6api=E7=B2=BE=E5=BA=A6?= =?UTF-8?q?=E5=AF=B9=E6=AF=94=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/mindspore/advisor/advisor.py | 124 ++ .../mindspore/advisor/advisor_const.py | 59 + .../mindspore/advisor/advisor_result.py | 58 + .../msprobe/mindspore/compare/acc_compare.py | 1033 +++++++++++++++++ .../mindspore/compare/distributed_compare.py | 112 ++ .../msprobe/mindspore/compare/highlight.py | 100 ++ .../msprobe/mindspore/compare/mapping.yaml | 607 ++++++++++ .../msprobe/mindspore/compare/match.py | 36 + .../msprobe/mindspore/compare/npy_compare.py | 244 ++++ 9 files changed, 2373 insertions(+) create mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/highlight.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/match.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py new file mode 100644 index 0000000000..ec2773e6de --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py @@ -0,0 +1,124 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" + +import os + +from msprobe.mindspore.advisor.advisor_result import AdvisorResult +from msprobe.mindspore.advisor.advisor_const import AdvisorConst +from msprobe.mindspore.common.log import logger +from msprobe.core.common.utils import CompareException +from msprobe.core.common.file_check import FileChecker +from msprobe.core.common.const import Const, CompareConst, FileCheckConst + +class Advisor: + """ + Class for generate advisor + """ + + def __init__(self, input_data, out_path=""): + self.input_data = input_data + self.out_path = os.path.realpath(out_path) + self.file_type = None + + @staticmethod + def deterministic_advisor(message, node_name): + for api_name in AdvisorConst.NEED_DETERMINISTIC_API: + if api_name in node_name: + return AdvisorConst.DETERMINISTIC_SUGGEST + return message + + @staticmethod + def batch_norm_advisor(message, node_name): + if AdvisorConst.FUNC_BATCH_NORM in node_name and AdvisorConst.FORWARD_INPUT_1 in node_name: + message = AdvisorConst.BATCH_NORM_SUGGEST + return message + + def analyze_unmatched(self, analyze_data): + if self.file_type == Const.ALL: + accuracy_unmatched = analyze_data[ + analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_UNMATCH] + else: + accuracy_unmatched = analyze_data[(analyze_data[CompareConst.NPU_SHAPE] == CompareConst.NAN) | + (analyze_data[CompareConst.BENCH_SHAPE] == CompareConst.NAN)] + num_unmatch = len(accuracy_unmatched) + if num_unmatch != 0: + for i in range(len(accuracy_unmatched)): + item = accuracy_unmatched.iloc[i] + logger.warning("The tensor name matches but the shape or dtype does not match: {}" + .format(item[CompareConst.NPU_NAME])) + + def gen_advisor_result(self, pd_data): + first_failing_data = pd_data.iloc[0] + node_name = first_failing_data[CompareConst.NPU_NAME] + index = first_failing_data['index'] + message = self.gen_advisor_message(node_name) + logger.warning("Find %s accuracy not reached, the line is %s" % (node_name, index)) + result = AdvisorResult(node_name, index, message) + return result + + def gen_advisor_message(self, node_name): + if AdvisorConst.FORWARD in node_name: + if AdvisorConst.INPUT in node_name: + message = AdvisorConst.FORWARD_INPUT_SUGGEST + else: + message = AdvisorConst.FORWARD_OUTPUT_SUGGEST + message = self.deterministic_advisor(message, node_name) + else: + if AdvisorConst.INPUT in node_name: + message = AdvisorConst.BACKWARD_INPUT_SUGGEST + else: + message = AdvisorConst.BACKWARD_OUTPUT_SUGGEST + message = self.deterministic_advisor(message, node_name) + message = self.batch_norm_advisor(message, node_name) + return message + + def analysis(self): + self._check_path_vaild() + analyze_data = self._parse_input_data() + logger.info("Start analyzing the comparison result: %s" % self.file_type) + self.analyze_unmatched(analyze_data) + if self.file_type == Const.ALL: + failing_data = analyze_data[analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_NO] + elif self.file_type == Const.MD5: + failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.DIFF] + elif self.file_type == Const.SUMMARY: + failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.WARNING] + if failing_data.empty: + logger.info("All data from api input/output accuracy reached") + result = AdvisorResult(AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERR_SUGGEST) + else: + result = self.gen_advisor_result(failing_data) + message_list = result.print_advisor_log() + result.gen_summary_file(self.out_path, message_list) + + def _parse_input_data(self): + data_columns = self.input_data.columns.values + if {CompareConst.ACCURACY, CompareConst.NPU_NAME}.issubset(data_columns): + self.file_type = Const.ALL + elif {CompareConst.RESULT, CompareConst.NPU_MD5}.issubset(data_columns): + self.file_type = Const.MD5 + elif {CompareConst.MAX_DIFF, CompareConst.RESULT}.issubset(data_columns): + self.file_type = Const.SUMMARY + else: + logger.error('Compare result does not meet the required conditions.') + raise CompareException(CompareException.INVALID_DATA_ERROR) + df = self.input_data.reset_index() + return df + + def _check_path_vaild(self): + out_path_checker = FileChecker(self.out_path, FileCheckConst.DIR, FileCheckConst.WRITE_ABLE) + out_path_checker.common_check() diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py new file mode 100644 index 0000000000..737c675911 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py @@ -0,0 +1,59 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" + + +class AdvisorConst: + """ + Class for advisor const + """ + + # text symbol + NEW_LINE = "\n" + COLON = ": " + + # advisor summary key + SUSPECT_NODES = "Suspect Nodes" + LINE = "Line" + ADVISOR_SUGGEST = "Expert Advice" + + NO_ERROR_API = "NA" + + # advisor message + NO_ERR_SUGGEST = "All data in comparison result meets the accuracy requirements." + FORWARD_INPUT_SUGGEST = "1. Analyze the model to view the input source.\n" \ + "2. Check whether an inplace API causes the output result to overwrite the input result. That is, the fault is actually caused by a computation error.\n" \ + "3. The fault may be caused by memory corruption and further analysis is required." + FORWARD_OUTPUT_SUGGEST = "This is a forward API computation error. Check the computation implementation." + BACKWARD_INPUT_SUGGEST = "Check whether the forward computation result is affected." + BACKWARD_OUTPUT_SUGGEST = "This is a backward API computation error. Check the computation implementation." + BATCH_NORM_SUGGEST = "Torch API batch_norm input not fixed, the following suggestions may fix it:\n" \ + "1. If use torch.nn.functional.batch_norm, you can set parameter training=False.\n" \ + "2. If use torch.nn.BatchNormXXX, you can set parameter affine=False.\n" \ + "3. Use seed_all(mode=True) to enable deterministic computing." + DETERMINISTIC_SUGGEST = "This torch api may be uncertainty in the calculation, " \ + "can seed_all(mode=True) to enable deterministic computing." + + FUNC_BATCH_NORM = "Functional_batch_norm" + FORWARD_INPUT_1 = "forward_input.1" + NEED_DETERMINISTIC_API = ["conv2d", "conv3d", "matmul", "nll_loss", "layer_norm", "lstm"] + BATCH_NORM = "batch_norm" + + # name keyword + INPUT = "input" + OUTPUT = "output" + FORWARD = "forward" + BACKWARD = "backward" diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py new file mode 100644 index 0000000000..5d59068fc4 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py @@ -0,0 +1,58 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import os +import time + +from msprobe.mindspore.advisor.advisor_const import AdvisorConst +from msprobe.mindspore.common.log import logger +from msprobe.core.common.const import Const, FileCheckConst +from msprobe.core.common.file_check import change_mode + + +class AdvisorResult: + """ + Class for generate advisor result + """ + + def __init__(self, node, line, message): + self.suspect_node = node + self.line = line + self.advisor_message = message + + @staticmethod + def gen_summary_file(out_path, message_list): + file_name = 'advisor_{}.txt'.format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))) + result_file = os.path.join(out_path, file_name) + try: + with os.fdopen(os.open(result_file, Const.WRITE_FLAGS, Const.WRITE_MODES), 'w+') as output_file: + output_file.truncate(0) + message_list = [message + AdvisorConst.NEW_LINE for message in message_list] + output_file.writelines(message_list) + change_mode(result_file, FileCheckConst.DATA_FILE_AUTHORITY) + except IOError as io_error: + logger.error("Failed to save %s, the reason is %s." % (result_file, io_error)) + else: + logger.info("The advisor summary is saved in: %s" % result_file) + + def print_advisor_log(self): + logger.info("The summary of the expert advice is as follows: ") + message_list = [AdvisorConst.LINE + AdvisorConst.COLON + str(self.line), + AdvisorConst.SUSPECT_NODES + AdvisorConst.COLON + self.suspect_node, + AdvisorConst.ADVISOR_SUGGEST + AdvisorConst.COLON + self.advisor_message] + for message in message_list: + logger.info(message) + return message_list diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py new file mode 100644 index 0000000000..0464995d57 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py @@ -0,0 +1,1033 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2019-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" + +import json +import multiprocessing +import os.path +import sys + +import numpy as np +import pandas as pd +import openpyxl +from openpyxl.styles import PatternFill +from collections import namedtuple +from dataclasses import dataclass + +from msprobe.mindspore.compare.match import graph_mapping +from msprobe.mindspore.compare.highlight import HighlightRules, get_header_index +from msprobe.mindspore.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ + get_error_message +from msprobe.mindspore.advisor.advisor import Advisor +from msprobe.mindspore.common.log import logger +from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ + format_value, check_file_not_exists, check_configuration_param, task_dumppath_get +from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory +from msprobe.core.common.const import Const, CompareConst, FileCheckConst +from msprobe.core.common.exceptions import FileCheckException + + +def check_graph_mode(a_op_name, b_op_name): + if "Aten" in a_op_name and "Aten" not in b_op_name: + return True + if "Aten" not in a_op_name and "Aten" in b_op_name: + return True + return False + + +def check_op(npu_dict, bench_dict, fuzzy_match): + a_op_name = npu_dict["op_name"] + b_op_name = bench_dict["op_name"] + graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) + if graph_mode: + return graph_mapping.match(a_op_name[0], b_op_name[0]) + struct_match = check_struct_match(npu_dict, bench_dict) + if not fuzzy_match: + return a_op_name == b_op_name and struct_match + is_match = True + try: + is_match = fuzzy_check_op(a_op_name, b_op_name) + except Exception as err: + logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) + is_match = False + return is_match and struct_match + + +def check_struct_match(npu_dict, bench_dict): + npu_struct_in = npu_dict.get("input_struct") + bench_struct_in = bench_dict.get("input_struct") + npu_struct_out = npu_dict.get("output_struct") + bench_struct_out = bench_dict.get("output_struct") + is_match = npu_struct_in == bench_struct_in and npu_struct_out == bench_struct_out + if not is_match: + if len(npu_struct_in) == 0 or len(bench_struct_in) == 0 or len(npu_struct_in) != len(bench_struct_in): + return False + struct_in_is_match = check_type_shape_match(npu_struct_in, bench_struct_in) + struct_out_is_match = check_type_shape_match(npu_struct_out, bench_struct_out) + is_match = struct_in_is_match and struct_out_is_match + return is_match + + +def check_type_shape_match(npu_struct, bench_struct): + shape_type_match = False + for npu_type_shape, bench_type_shape in zip(npu_struct, bench_struct): + npu_type = npu_type_shape[0] + npu_shape = npu_type_shape[1] + bench_type = bench_type_shape[0] + bench_shape = bench_type_shape[1] + shape_match = npu_shape == bench_shape + type_match = npu_type == bench_type + if not type_match: + if [npu_type, bench_type] in [["Float16", "Float32"], ["Float32", "Float16"]]: + type_match = True + else: + type_match = False + shape_type_match = shape_match and type_match + if not shape_type_match: + return False + return shape_type_match + + +def fuzzy_check_op(npu_name_list, bench_name_list): + if len(npu_name_list) == 0 or len(bench_name_list) == 0 or len(npu_name_list) != len(bench_name_list): + return False + is_match = True + for npu_name, bench_name in zip(npu_name_list, bench_name_list): + is_match = fuzzy_check_name(npu_name, bench_name) + if not is_match: + break + return is_match + + +def fuzzy_check_name(npu_name, bench_name): + if "forward" in npu_name and "forward" in bench_name: + is_match = rename_api(npu_name, "forward") == rename_api(bench_name, "forward") + elif "backward" in npu_name and "backward" in bench_name: + is_match = rename_api(npu_name, "backward") == rename_api(bench_name, "backward") + else: + is_match = npu_name == bench_name + return is_match + + +def rename_api(npu_name, process): + npu_split = npu_name.split(process) + torch_func_index, in_out = npu_split[0], npu_split[1] + torch_func_split = torch_func_index.rsplit(Const.SEP, 2) + torch_func = str(torch_func_split[0]) + str(in_out) + return torch_func + + +def merge_tensor(tensor_list, summary_compare, md5_compare): + op_dict = {} + op_dict["op_name"] = [] + op_dict["input_struct"] = [] + op_dict["kwargs_struct"] = [] + op_dict["output_struct"] = [] + op_dict["summary"] = [] + op_dict["stack_info"] = [] + + all_mode_bool = not (summary_compare or md5_compare) + if all_mode_bool: + op_dict["data_name"] = [] + + for tensor in tensor_list: + if len(tensor) == 2: + op_dict['stack_info'].append(tensor['full_info']) + break + op_dict["op_name"].append(tensor['full_op_name']) + if not md5_compare: + if tensor['full_op_name'].find("input") != -1: + op_dict["input_struct"].append((tensor['dtype'], tensor['shape'])) + elif tensor['full_op_name'].find("kwarg") != -1: + op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'])) + elif tensor['full_op_name'].find("output") != -1: + op_dict["output_struct"].append((tensor['dtype'], tensor['shape'])) + else: + if tensor['full_op_name'].find("input") != -1: + op_dict["input_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) + elif tensor['full_op_name'].find("kwarg") != -1: + op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) + elif tensor['full_op_name'].find("output") != -1: + op_dict["output_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) + + op_dict["summary"].append([tensor['Max'], tensor['Min'], tensor['Mean'], tensor['Norm']]) + + if all_mode_bool: + op_dict["data_name"].append(tensor['data_name']) + + if not op_dict["kwargs_struct"]: + del op_dict["kwargs_struct"] + return op_dict if op_dict["op_name"] else {} + + +def match_op(npu_queue, bench_queue, fuzzy_match): + for b_index, b_op in enumerate(bench_queue[0: -1]): + if check_op(npu_queue[-1], b_op, fuzzy_match): + return len(npu_queue) - 1, b_index + if check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): + return len(npu_queue) - 1, len(bench_queue) - 1 + for n_index, n_op in enumerate(npu_queue[0: -1]): + if check_op(n_op, bench_queue[-1], fuzzy_match): + return n_index, len(bench_queue) - 1 + return -1, -1 + + +def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=False): + def get_accuracy_core(n_start, n_len, b_start, b_len, key): + min_len = min(n_len, b_len) + npu_stack_info = n_dict.get("stack_info", None) + bench_stack_info = b_dict.get("stack_info", None) + has_stack = npu_stack_info and bench_stack_info + + all_mode_bool = not (summary_compare or md5_compare) + if all_mode_bool: + npu_data_name = n_dict.get("data_name", None) + bench_data_name = b_dict.get("data_name", None) + + for index in range(min_len): + + n_name = n_dict['op_name'][n_start + index] + b_name = b_dict['op_name'][b_start + index] + n_struct = n_dict[key][index] + b_struct = b_dict[key][index] + err_msg = "" + if md5_compare: + result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], + n_struct[2], b_struct[2], + CompareConst.PASS if n_struct[2] == b_struct[2] else CompareConst.DIFF] + if has_stack and index == 0 and key == "input_struct": + result_item.extend(npu_stack_info) + else: + result_item.append(CompareConst.NONE) + result.append(result_item) + continue + + if summary_compare: + result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], + " ", " ", " ", " ", " ", " ", " ", " "] + else: + result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], + " ", " ", " ", " ", " "] + + npu_summary_data = n_dict.get("summary")[n_start + index] + result_item.extend(npu_summary_data) + bench_summary_data = b_dict.get("summary")[b_start + index] + result_item.extend(bench_summary_data) + + if summary_compare: + start_idx = CompareConst.SUMMARY_COMPARE_RESULT_HEADER.index(CompareConst.MAX_DIFF) + warning_flag = False + for i, (npu_val, bench_val) in enumerate(zip(npu_summary_data, bench_summary_data)): + if isinstance(npu_val, (float, int)) and isinstance(bench_val, (float, int)): + diff = npu_val - bench_val + if bench_val != 0: + relative = str(abs((diff / bench_val) * 100)) + '%' + else: + relative = "N/A" + result_item[start_idx + i] = diff + result_item[start_idx + i + 4] = relative + magnitude_diff = abs(diff) / (max(abs(npu_val), abs(bench_val)) + 1e-10) + if magnitude_diff > 0.5: + warning_flag = True + else: + result_item[start_idx + i] = CompareConst.NONE + accuracy_check = CompareConst.WARNING if warning_flag else "" + err_msg += "Need double check api accuracy." if warning_flag else "" + for i in range(start_idx, len(result_item)): + if str(result_item[i]) in ('inf', '-inf', 'nan'): + result_item[i] = f'{result_item[i]}\t' + + result_item.append(accuracy_check if summary_compare else CompareConst.ACCURACY_CHECK_YES) + result_item.append(err_msg) + if has_stack and index == 0 and key == "input_struct": + result_item.extend(npu_stack_info) + else: + result_item.append(CompareConst.NONE) + if all_mode_bool: + result_item.append(npu_data_name[n_start + index]) + + result.append(result_item) + + if n_len > b_len: + for index in range(b_len, n_len): + n_name = n_dict['op_name'][n_start + index] + n_struct = n_dict[key][index] + if md5_compare: + result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, + n_struct[1], CompareConst.NAN, n_struct[2], CompareConst.NAN, CompareConst.NAN] + result.append(result_item) + continue + result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, + n_struct[1], CompareConst.NAN, " ", " ", " ", " ", " "] + summary_data = n_dict.get("summary")[n_start + index] + result_item.extend(summary_data) + summary_data = [CompareConst.NAN for _ in range(len(n_dict.get("summary")[0]))] + result_item.extend(summary_data) + + err_msg = "" + result_item.append(CompareConst.ACCURACY_CHECK_YES) + result_item.append(err_msg) + + if has_stack and index == 0 and key == "input_struct": + result_item.extend(npu_stack_info) + else: + result_item.append(CompareConst.NONE) + if all_mode_bool: + result_item.append(npu_data_name[n_start + index]) + + result.append(result_item) + + n_num = len(n_dict['op_name']) + b_num = len(b_dict['op_name']) + n_num_input = len([name for name in n_dict['op_name'] if 'input' in name]) + b_num_input = len([name for name in b_dict['op_name'] if 'input' in name]) + n_num_kwarg = len([name for name in n_dict['op_name'] if 'kwarg' in name]) + b_num_kwarg = len([name for name in b_dict['op_name'] if 'kwarg' in name]) + n_num_output = n_num - n_num_input - n_num_kwarg + b_num_output = b_num - b_num_input - b_num_kwarg + get_accuracy_core(0, n_num_input, 0, b_num_input, 'input_struct') + get_accuracy_core(n_num_input, n_num_kwarg, b_num_input, b_num_kwarg, "kwargs_struct") + get_accuracy_core(n_num_input + n_num_kwarg, n_num_output, b_num_input + b_num_kwarg, b_num_output, 'output_struct') + + +def _do_multi_process(input_parma, result_df): + try: + result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + + +def read_dump_data(result_df): + try: + npu_dump_name_list = result_df.iloc[0:, 0].tolist() + npu_dump_tensor_list = result_df.iloc[0:, -1].tolist() + op_name_mapping_dict = {} + for index, _ in enumerate(npu_dump_name_list): + npu_dump_name = npu_dump_name_list[index] + npu_dump_tensor = npu_dump_tensor_list[index] + op_name_mapping_dict[npu_dump_name] = [npu_dump_tensor, npu_dump_tensor] + return op_name_mapping_dict + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + except IndexError as e: + logger.error('result dataframe elements can not be access.') + raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e + + +def _handle_multi_process(func, input_parma, result_df, lock): + process_num = int((multiprocessing.cpu_count() + 1) / 2) + op_name_mapping_dict = read_dump_data(result_df) + + df_chunk_size = len(result_df) // process_num + if df_chunk_size > 0: + df_chunks = [result_df.iloc[i:i + df_chunk_size] for i in range(0, len(result_df), df_chunk_size)] + else: + df_chunks = [result_df] + + results = [] + pool = multiprocessing.Pool(process_num) + + def err_call(args): + logger.error('multiprocess compare failed! Reason: {}'.format(args)) + try: + pool.terminate() + except OSError as e: + logger.error("pool terminate failed") + + for process_idx, df_chunk in enumerate(df_chunks): + idx = df_chunk_size * process_idx + result = pool.apply_async(func, + args=(idx, op_name_mapping_dict, df_chunk, lock, input_parma), + error_callback=err_call) + results.append(result) + final_results = [r.get() for r in results] + pool.close() + pool.join() + return pd.concat(final_results, ignore_index=True) + + +def compare_ops(idx, dump_path_dict, result_df, lock, input_parma): + cos_result = [] + max_err_result = [] + max_relative_err_result = [] + err_mess = [] + one_thousand_err_ratio_result = [] + five_thousand_err_ratio_result = [] + is_print_compare_log = input_parma.get("is_print_compare_log") + for i in range(len(result_df)): + op_name = result_df.iloc[i, 0] + if is_print_compare_log: + logger.info("start compare: {}".format(op_name)) + cos_sim, max_abs_err, max_relative_err, one_thousand_err_ratio, five_thousand_err_ratio, err_msg = compare_by_op( + op_name, dump_path_dict, input_parma) + if is_print_compare_log: + logger.info( + "[{}] Compare result: cosine {}, max_abs_err {}, max_relative_err {}, {}, one_thousand_err_ratio {}, " + "five_thousand_err_ratio {}".format(op_name, cos_sim, max_abs_err, max_relative_err, err_msg, + one_thousand_err_ratio, five_thousand_err_ratio)) + cos_result.append(cos_sim) + max_err_result.append(max_abs_err) + max_relative_err_result.append(max_relative_err) + err_mess.append(err_msg) + one_thousand_err_ratio_result.append(one_thousand_err_ratio) + five_thousand_err_ratio_result.append(five_thousand_err_ratio) + + cr = ComparisonResult( + cos_result=cos_result, + max_err_result=max_err_result, + max_relative_err_result=max_relative_err_result, + err_msgs=err_mess, + one_thousand_err_ratio_result=one_thousand_err_ratio_result, + five_thousand_err_ratio_result=five_thousand_err_ratio_result + ) + + return _save_cmp_result(idx, cr, result_df, lock) + + +@dataclass +class ComparisonResult: + cos_result: list + max_err_result: list + max_relative_err_result: list + err_msgs: list + one_thousand_err_ratio_result: list + five_thousand_err_ratio_result: list + + +def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): + """ + Save comparison results into the result DataFrame with thread safety. + Args: + offset: offset for index + result: data struct of ComparisonResult + result_df: result of DataFrame + lock: thread lock + + Returns: + comparison results in DataFrame + """ + + lock.acquire() + try: + for i, _ in enumerate(result.cos_result): + process_index = i + offset + result_df.loc[process_index, CompareConst.COSINE] = result.cos_result[i] + result_df.loc[process_index, CompareConst.MAX_ABS_ERR] = result.max_err_result[i] + result_df.loc[process_index, CompareConst.MAX_RELATIVE_ERR] = result.max_relative_err_result[i] + result_df.loc[process_index, CompareConst.ERROR_MESSAGE] = result.err_msgs[i] + result_df.loc[process_index, CompareConst.ACCURACY] = check_accuracy(result.cos_result[i], result.max_err_result[i]) + result_df.loc[process_index, CompareConst.ONE_THOUSANDTH_ERR_RATIO] = result.one_thousand_err_ratio_result[i] + result_df.loc[process_index, CompareConst.FIVE_THOUSANDTHS_ERR_RATIO] = result.five_thousand_err_ratio_result[i] + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + except IndexError as e: + logger.error('result dataframe elements can not be access.') + raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e + finally: + lock.release() + + +def check_accuracy(cos, max_abs_err): + if cos == CompareConst.SHAPE_UNMATCH: + return CompareConst.ACCURACY_CHECK_UNMATCH + if cos == CompareConst.NONE or max_abs_err == CompareConst.NONE: + return CompareConst.NONE + if cos == "N/A" or max_abs_err == "N/A": + return CompareConst.ACCURACY_CHECK_NO + try: + cos, max_abs_err = float(cos), float(max_abs_err) + except ValueError: + logger.warning("Cosine or MaxAbsErr can not get float value.") + return CompareConst.NONE + if cos < CompareConst.COS_THRESHOLD and max_abs_err > CompareConst.MAX_ABS_ERR_THRESHOLD: + return CompareConst.ACCURACY_CHECK_NO + if cos < CompareConst.COS_MAX_THRESHOLD or max_abs_err > CompareConst.MAX_ABS_ERR_MAX_THRESHOLD: + return CompareConst.ACCURACY_CHECK_NO + return CompareConst.ACCURACY_CHECK_YES + + +def read_npy_data(dir_path, file_name): + data_path = os.path.join(dir_path, file_name) + path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, + FileCheckConst.NUMPY_SUFFIX, False) + data_path = path_checker.common_check() + data_value = np.load(data_path) # detach for less memory + if data_value.dtype == np.float16: + data_value=data_value.astype(np.float32) + + return data_value + + +def compare_by_op(op_name, op_name_mapping_dict, input_parma): + npu_bench_name_list = op_name_mapping_dict[op_name] + data_name = npu_bench_name_list[1] + error_file, relative_err, error_flag = None, None, False + if data_name == '-1' or data_name == -1: # 没有真实数据路径 + n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE + error_flag = True + else: + try: + n_value = read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) + b_value = read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) + except IOError as error: + error_file = error.filename + n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE + error_flag = True + except FileCheckException: + error_file = data_name + n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE + error_flag = True + + n_value, b_value, error_flag = get_error_type(n_value, b_value, error_flag) + if not error_flag: + relative_err = get_relative_err(n_value, b_value) + n_value, b_value = reshape_value(n_value, b_value) + + err_msg = get_error_message(n_value, b_value, op_name, error_flag, error_file=error_file) + result_list, err_msg = compare_ops_apply(n_value, b_value, error_flag, err_msg, relative_err=relative_err) + + if npu_bench_name_list[0] != npu_bench_name_list[1]: + err_msg += " Fuzzy matching data, the comparison accuracy may be affected." + result_list.append(err_msg) + return result_list + + +def handle_inf_nan(n_value, b_value): + n_inf = np.isinf(n_value) + b_inf = np.isinf(b_value) + n_nan = np.isnan(n_value) + b_nan = np.isnan(b_value) + + # merge boolean expressions + any_inf = np.any(n_inf) or np.any(b_inf) + any_nan = np.any(n_nan) or np.any(b_nan) + if any_inf or any_nan: + if np.array_equal(n_inf, b_inf) and np.array_equal(n_nan, b_nan): + n_value[n_inf] = 0 + b_value[b_inf] = 0 + n_value[n_nan] = 0 + b_value[b_nan] = 0 + else: + return CompareConst.NAN, CompareConst.NAN + return n_value, b_value + + +def find_error_rows(result, last_len, n_num_input, highlight_dict, summary_compare=False, md5_compare=False): + """找到单个API中需要高亮的行""" + if md5_compare: + return + npu_max_index = get_header_index('NPU max', summary_compare) + bench_max_index = get_header_index('Bench max', summary_compare) + max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) + + red_lines, yellow_lines = [], [] + LineInfo = namedtuple('LineInfo', ['line_data', 'num_pointer']) + ApiInfo = namedtuple('ApiInfo', ['api_input', 'api_output', 'num_pointer']) + ColorColumns = namedtuple('ColorColumns', ['red', 'yellow']) + color_columns = ColorColumns(red=red_lines, yellow=yellow_lines) + + # 对单行API的输入或输出进行误差判断 + for i, line in enumerate(result): + num = last_len + i + line_info = LineInfo(line_data=line, num_pointer=num) + for rule in HighlightRules.basic_rules.values(): + rule.apply(line_info, color_columns, summary_compare) + + # 对API的输出与输入比较，进行误差判断 + for n, api_out in enumerate(result[n_num_input:len(result)]): + num = last_len + n_num_input + n + if num in red_lines: + continue + if not isinstance(api_out[npu_max_index], (float, int)) \ + or not isinstance(api_out[bench_max_index], (float, int)) \ + or not isinstance(api_out[max_diff_index], (float, int)): + continue + for _, api_in in enumerate(result[0:n_num_input]): + if not isinstance(api_in[npu_max_index], (float, int)) \ + or not isinstance(api_in[bench_max_index], (float, int)) \ + or not isinstance(api_in[max_diff_index], (float, int)): + continue + + api_info = ApiInfo(api_input=api_in, api_output=api_out, num_pointer=num) + if summary_compare: + for rule in HighlightRules.summary_compare_rules.values(): + rule.apply(api_info, color_columns, summary_compare) + else: + for rule in HighlightRules.compare_rules.values(): + rule.apply(api_info, color_columns, summary_compare) + + highlight_dict.get('red_rows', []).extend(list(set(red_lines))) + highlight_dict.get('yellow_rows', []).extend(list(set(yellow_lines) - set(red_lines))) + + +def get_name_and_state(name): + """Get api/module name and state""" + if "input" in name: + api_name = name.split("input")[0] + state = "input" + else: + api_name = name.split("output")[0] + state = "output" + return api_name, state + + +def find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare): + """将dataframe根据API分组，并找到有误差的算子用于高亮""" + result = result_df.values + start, input_num, output_num, end = 0, 0, 0, len(result_df) + last_api_name, last_state = None, None + num, last_len = 0, 0 + for res_i in result: + api_name, state = get_name_and_state(res_i[0]) + if last_api_name: + if api_name == last_api_name: + if state == last_state: + num += 1 + else: + input_num = num + num, last_state = 1, state + else: + output_num = num + find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, + summary_compare, md5_compare) + num, last_api_name, last_state = 1, api_name, state + start += input_num + output_num + input_num, output_num = 1, 0 + else: + num, last_api_name, last_state = 1, api_name, state + if state: + if state == "input": + input_num = num + else: + output_num = num + find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, summary_compare, md5_compare) + + +def highlight_rows_xlsx(result_df, highlight_dict, file_path): + """Write and highlight results in Excel""" + logger.info('Compare result is %s' % file_path) + + wb = openpyxl.Workbook() + ws = wb.active + + # write header + for j, col_name in enumerate(result_df.columns, start=1): + ws.cell(row=1, column=j, value=col_name) + + for i, row in enumerate(result_df.iterrows(), start=2): + for j, value in enumerate(row[1], start=1): + if not isinstance(value, (float, int)): + value = f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else str(value) + ws.cell(row=i, column=j, value=f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else value) + + if (i - 2) in highlight_dict['red_rows']: + ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.RED, + end_color=CompareConst.RED, fill_type="solid") + elif (i - 2) in highlight_dict['yellow_rows']: + ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.YELLOW, + end_color=CompareConst.YELLOW, fill_type="solid") + wb.save(file_path) + change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) + + +def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, + fuzzy_match=False): + try: + summary_compare, md5_compare = task_dumppath_get(input_parma) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_parma, output_path, stack_mode, summary_compare, md5_compare) + except CompareException as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) + compare_core(input_parma, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) + + +def compare_core(input_parma, output_path, **kwargs): + """ + Compares data from multiple JSON files and generates a comparison report. + + Args: + input_parma (dict): A dictionary containing paths to JSON files ("npu_json_path", "bench_json_path", + "stack_json_path"). + output_path (str): The path where the output Excel report will be saved. + **kwargs: Additional keyword arguments including: + - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. + - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. + - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. + - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. + - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. + - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. + + Returns: + """ + # get kwargs or set default value + stack_mode = kwargs.get('stack_mode', False) + auto_analyze = kwargs.get('auto_analyze', True) + suffix = kwargs.get('suffix', '') + fuzzy_match = kwargs.get('fuzzy_match', False) + summary_compare = kwargs.get('summary_compare', False) + md5_compare = kwargs.get('md5_compare', False) + + logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") + file_name = add_time_with_xlsx("compare_result" + suffix) + file_path = os.path.join(os.path.realpath(output_path), file_name) + check_file_not_exists(file_path) + highlight_dict = {'red_rows': [], 'yellow_rows': []} + + with FileOpen(input_parma.get("npu_json_path"), "r") as npu_json, \ + FileOpen(input_parma.get("bench_json_path"), "r") as bench_json, \ + FileOpen(input_parma.get("stack_json_path"), "r") as stack_json: + result_df = compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, + summary_compare, md5_compare) + + if not md5_compare and not summary_compare: + result_df = _do_multi_process(input_parma, result_df) + find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) + highlight_rows_xlsx(result_df, highlight_dict, file_path) + if auto_analyze: + advisor = Advisor(result_df, output_path) + advisor.analysis() + + +def parse(pkl_file, module_name_prefix): + if not isinstance(module_name_prefix, str): + logger.error("The parameter:module_name_prefix is not a string.") + raise CompareException(CompareException.INVALID_PARAM_ERROR) + with FileOpen(pkl_file, "r") as f: + done = False + title_printed = False + while not done: + pkl_line = f.readline() + if pkl_line == '\n': + continue + if len(pkl_line) == 0: + done = True + break + + msg = json.loads(pkl_line) + info_prefix = msg[0] + if not info_prefix.startswith(module_name_prefix): + continue + + if info_prefix.find("stack_info") != -1: + logger.info("\nTrace back({}):".format(msg[0])) + for item in reversed(msg[1]): + logger.info(" File \"{}\", line {}, in {}".format(item[0], item[1], item[2])) + logger.info(" {}".format(item[3])) + continue + if len(msg) > 5: + summary_info = " [{}][dtype: {}][shape: {}][max: {}][min: {}][mean: {}]" \ + .format(msg[0], msg[3], msg[4], msg[5][0], msg[5][1], msg[5][2]) + if not title_printed: + logger.info("\nStatistic Info:") + title_printed = True + logger.info(summary_info) + + +def op_item_parse(item, op_name, index, item_list=None, top_bool=True): + if item_list is None: + item_list = [] + if item is None or (isinstance(item, dict) and not item): + if not top_bool: + tmp = {'full_op_name': op_name + '.' + str(index), 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, + 'dtype': None, 'shape': None, 'md5': None, 'data_name': '-1'} + else: + tmp = {'full_op_name': op_name + '.0', 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, 'dtype': None, + 'shape': None, 'md5': None, 'data_name': '-1'} + item_list.append(tmp) + return item_list + if index is None: + if isinstance(item, dict): + full_op_name = op_name + '.0' + else: + full_op_name = op_name + else: + full_op_name = op_name + Const.SEP + str(index) + if isinstance(item, dict): + if 'type' not in item: + for kwarg in item: + kwarg_parsed_list = op_item_parse(item[kwarg], op_name + Const.SEP + kwarg, None) + item_list += kwarg_parsed_list + kwarg_parsed_list.clear() + elif 'dtype' in item: + parsed_item = item + parsed_item['full_op_name'] = full_op_name + item_list.append(parsed_item) + elif 'type' in item: + parsed_item = {} + if item['type'] == 'torch.Size': + parsed_item['full_op_name'] = full_op_name + parsed_item['dtype'] = 'torch.Size' + parsed_item['shape'] = str(item['value']) + parsed_item['md5'] = None + parsed_item['Max'] = None + parsed_item['Min'] = None + parsed_item['Mean'] = None + parsed_item['Norm'] = None + parsed_item['data_name'] = '-1' + item_list.append(parsed_item) + elif item['type'] == 'slice': + parsed_item['full_op_name'] = full_op_name + parsed_item['dtype'] = 'slice' + parsed_item['shape'] = str(np.shape(np.array(item['value']))) + parsed_item['md5'] = None + parsed_item['Max'] = None + parsed_item['Min'] = None + parsed_item['Mean'] = None + parsed_item['Norm'] = None + parsed_item['data_name'] = '-1' + item_list.append(parsed_item) + else: + parsed_item['full_op_name'] = full_op_name + parsed_item['dtype'] = str(type(item['value'])) + parsed_item['shape'] = '[]' + parsed_item['md5'] = None + parsed_item['Max'] = item['value'] + parsed_item['Min'] = item['value'] + parsed_item['Mean'] = item['value'] + parsed_item['Norm'] = item['value'] + parsed_item['data_name'] = '-1' + item_list.append(parsed_item) + else: + resolve_api_special_parameters(item, full_op_name, item_list) + else: + for j, item_spec in enumerate(item): + op_item_parse(item_spec, full_op_name, j, item_list=item_list, top_bool=False) + return item_list + + +def resolve_api_special_parameters(data_dict, full_op_name, item_list): + """ + Function Description: + 解析下面格式的数据, 是api参数的一种特殊格式 + { + "last_hidden_state": { + "type": "torch.Tensor", + "dtype": "torch.bfloat16", + ... + }, + "loss": { + "type": "torch.Tensor", + "dtype": "torch.float32", + ... + } + } + Parameter: + data_dict: 字典格式的数据 + full_op_name: 参数的全名字符串 + item_list: 参数信息集合 + """ + for key, value in data_dict.items(): + if isinstance(value, dict): + parsed_item = value + parts = full_op_name.split(".") + parts.insert(-1, key) + full_op_name_new = ".".join(parts) + parsed_item['full_op_name'] = full_op_name_new + item_list.append(parsed_item) + + +def read_op(op_data, op_name): + op_parsed_list = [] + if 'forward' in op_name: + if 'input_args' in op_data: + input_item = op_data['input_args'] + input_parsed_list = op_item_parse(input_item, op_name + '_input', None) + op_parsed_list = input_parsed_list.copy() + input_parsed_list.clear() + if 'input_kwargs' in op_data: + kwargs_item = op_data['input_kwargs'] + if isinstance(kwargs_item, dict) and "type" in kwargs_item or isinstance(kwargs_item, list): + kwarg_parsed_list = op_item_parse(kwargs_item, op_name + '_input', None) + op_parsed_list += kwarg_parsed_list + kwarg_parsed_list.clear() + elif kwargs_item: + for kwarg in kwargs_item: + kwarg_parsed_list = op_item_parse(kwargs_item[kwarg], op_name + '_input.' + kwarg, None) + op_parsed_list += kwarg_parsed_list + kwarg_parsed_list.clear() + if 'output' in op_data: + output_item = op_data['output'] + output_parsed_list = op_item_parse(output_item, op_name + '_output', None) + op_parsed_list += output_parsed_list + output_parsed_list.clear() + if 'backward' in op_name: + if 'grad_input' in op_data: + input_item = op_data['grad_input'] + input_parsed_list = op_item_parse(input_item, op_name + '_input', None) + op_parsed_list = input_parsed_list.copy() + input_parsed_list.clear() + if 'grad_output' in op_data: + output_item = op_data['grad_output'] + output_parsed_list = op_item_parse(output_item, op_name + '_output', None) + op_parsed_list += output_parsed_list + output_parsed_list.clear() + return op_parsed_list + + +def compare_process(file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): + npu_json_handle, bench_json_handle, stack_json_handle = file_handles + npu_json_data = json.load(npu_json_handle) + bench_json_data = json.load(bench_json_handle) + stack_json_data = json.load(stack_json_handle) + + if fuzzy_match: + logger.warning("This task uses fuzzy matching, which may affect the accuracy of the comparison.") + + npu_ops_queue = [] + bench_ops_queue = [] + result = [] + + ops_npu_iter = iter(npu_json_data['data']) + ops_bench_iter = iter(bench_json_data['data']) + read_err_npu = True + read_err_bench = True + last_npu_ops_len = 0 + last_bench_ops_len = 0 + + while True: + if not read_err_npu and not read_err_bench: + break + try: + last_npu_ops_len = len(npu_ops_queue) + op_name_npu = next(ops_npu_iter) + read_err_npu = True + + npu_op_data = npu_json_data['data'][op_name_npu] + npu_op_parsed_list = read_op(npu_op_data, op_name_npu) + if op_name_npu in stack_json_data: + npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) + else: + npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) + + npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) + if npu_merge_list: + npu_ops_queue.append(npu_merge_list) + except StopIteration: + read_err_npu = False + try: + last_bench_ops_len = len(bench_ops_queue) + op_name_bench = next(ops_bench_iter) + + bench_op_data = bench_json_data['data'][op_name_bench] + bench_op_parsed_list = read_op(bench_op_data, op_name_bench) + if op_name_bench in stack_json_data: + bench_op_parsed_list.append( + {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) + else: + bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) + + bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) + if bench_merge_list: + bench_ops_queue.append(bench_merge_list) + except StopIteration: + read_err_bench = False + + # merge all boolean expressions + both_empty = not npu_ops_queue and not bench_ops_queue + no_change = (len(npu_ops_queue) == last_npu_ops_len) and (len(bench_ops_queue) == last_bench_ops_len) + if both_empty or no_change: + continue + + n_match_point, b_match_point = match_op(npu_ops_queue, bench_ops_queue, fuzzy_match) + if n_match_point == -1 and b_match_point == -1: + continue + n_match_data = npu_ops_queue[n_match_point] + b_match_data = bench_ops_queue[b_match_point] + un_match_data = npu_ops_queue[0: n_match_point] + for npu_data in un_match_data: + get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) + get_accuracy(result, n_match_data, b_match_data, summary_compare, md5_compare) + del npu_ops_queue[0: n_match_point + 1] + del bench_ops_queue[0: b_match_point + 1] + if npu_ops_queue: + for npu_data in npu_ops_queue: + get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) + + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] + + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + + result_df = pd.DataFrame(result, columns=header) + return result_df + + +def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): + index_out = 0 + npu_stack_info = n_dict.get("stack_info", None) + bench_name, bench_type, bench_shape = CompareConst.NAN, CompareConst.NAN, CompareConst.NAN + err_msg = CompareConst.NO_BENCH + accuracy_check_res = CompareConst.NAN + for index, n_name in enumerate(n_dict["op_name"]): + if n_name.find("input") != -1: + n_struct = n_dict["input_struct"][index] + else: + n_struct = n_dict["output_struct"][index_out] + index_out += 1 + + result_item = [n_name, bench_name, n_struct[0], bench_type, n_struct[1], bench_shape] + if md5_compare: + result_item.extend([CompareConst.NAN] * 3) + if npu_stack_info and index == 0: + result_item.extend(npu_stack_info) + result.append(result_item) + continue + if summary_compare: + result_item.extend([CompareConst.NAN] * 8) + else: + result_item.extend([CompareConst.NAN] * 5) + summary_data = n_dict.get("summary")[index] + result_item.extend(summary_data) + summary_data = [CompareConst.NAN] * 4 + result_item.extend(summary_data) + result_item.append(accuracy_check_res) + result_item.append(err_msg) + if npu_stack_info and index == 0: + result_item.extend(npu_stack_info) + if not md5_compare and not summary_compare and result_item[1] == CompareConst.NAN: + if index == 0: + result_item.extend(["-1"]) + else: + result_item.extend([CompareConst.NONE, "-1"]) + result.append(result_item) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py new file mode 100644 index 0000000000..4246bdd2b8 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -0,0 +1,112 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2019-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import os +import sys +import re +from msprobe.core.common.utils import CompareException, check_compare_param, \ + check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid +from msprobe.mindspore.compare.acc_compare import compare_core +from msprobe.core.common.file_check import create_directory +from msprobe.mindspore.common.log import logger + + +def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): + def check_and_return_dir_contents(dump_dir, prefix): + """ + check the given dump dir and validate files in dump dir by using the given prefix patterns to build a + pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ + + Args: + dump_dir (str): dump dir + prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only + + Returns: + content [list]: dir contents + Raises: + CompareException: invalid path + ValueError: prefix not match the patterns + + """ + check_regex_prefix_format_valid(prefix) + check_file_or_directory_path(dump_dir, True) + contents = os.listdir(dump_dir) + pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') + for name in contents: + if not pattern.match(name): + logger.error( + f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " + f"output. Please check and delete irrelevant files in {dump_dir} and try again." + ) + raise CompareException(CompareException.INVALID_PATH_ERROR) + return contents + + def extract_json(dirname, stack_json=False): + json_path = '' + for fname in os.listdir(dirname): + full_path = os.path.join(dirname, fname) + if fname=="construct.json": continue + if full_path.endswith('.json'): + json_path = full_path + if not stack_json and 'stack' not in json_path: + break + if stack_json and 'stack' in json_path: + break + + # Provide robustness on invalid directory inputs + if not json_path: + logger.error(f'No file is found in dump dir {dirname}. ') + raise CompareException(CompareException.NO_DUMP_FILE_ERROR) + return json_path + + if kwargs.get('suffix'): + logger.error("Argument 'suffix' is not supported for compare_distributed.") + raise CompareException(CompareException.INVALID_PARAM_ERROR) + stack_mode = kwargs.get('stack_mode', False) + auto_analyze = kwargs.get('auto_analyze', True) + fuzzy_match = kwargs.get('fuzzy_match', False) + # get the ranks and match by order + npu_ranks = sorted(check_and_return_dir_contents(npu_dump_dir, 'rank')) + bench_ranks = sorted(check_and_return_dir_contents(bench_dump_dir, 'rank')) + if len(npu_ranks) != len(bench_ranks): + logger.error('The number of ranks in the two runs are different. ' + 'Unable to match the ranks. Please use another folder to compare ' + 'or use compare() api and manually match the ranks.') + raise CompareException(CompareException.INVALID_PATH_ERROR) + for nr, br in zip(npu_ranks, bench_ranks): + n_dir = os.path.join(npu_dump_dir, nr) + b_dir = os.path.join(bench_dump_dir, br) + s_dir = b_dir + npu_json_path = extract_json(n_dir, stack_json=False) + bench_json_path = extract_json(b_dir, stack_json=False) + stack_json_path = extract_json(s_dir, stack_json=True) + + dump_result_param = { + 'npu_json_path': npu_json_path, + 'bench_json_path': bench_json_path, + 'stack_json_path': stack_json_path, + 'is_print_compare_log': True + } + try: + summary_compare, md5_compare = task_dumppath_get(dump_result_param) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(dump_result_param, output_path, stack_mode=stack_mode, summary_compare=summary_compare) + except CompareException as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) + compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, + md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/highlight.py b/debug/accuracy_tools/msprobe/mindspore/compare/highlight.py new file mode 100644 index 0000000000..82f0022f8b --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/highlight.py @@ -0,0 +1,100 @@ +import math +import abc +import numpy as np +from msprobe.core.common.utils import get_header_index +from msprobe.core.common.const import CompareConst + + +class HighlightCheck(abc.ABC): + @abc.abstractmethod + def apply(self, info, color_columns, summary_compare): + raise NotImplementedError + + +class CheckOrderMagnitude(HighlightCheck): + """检查Max diff的数量级差异""" + def apply(self, info, color_columns, summary_compare=True): + api_in, api_out, num = info + max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) + if abs(api_in[max_diff_index]) > abs(api_out[max_diff_index]): + return + in_order = 0 if abs(api_in[max_diff_index]) < 1 else math.log10(abs(api_in[max_diff_index])) + out_order = 0 if abs(api_out[max_diff_index]) < 1 else math.log10(abs(api_out[max_diff_index])) + if out_order - in_order >= CompareConst.ORDER_MAGNITUDE_DIFF_YELLOW: + color_columns.yellow.append(num) + + +class CheckOneThousandErrorRatio(HighlightCheck): + """检查千分误差比率""" + def apply(self, info, color_columns, summary_compare=True): + api_in, api_out, num = info + one_thousand_index = get_header_index('One Thousandth Err Ratio', summary_compare) + if not isinstance(api_in[one_thousand_index], (float, int)) or not isinstance(api_out[one_thousand_index], (float, int)): + return + if api_in[one_thousand_index] > CompareConst.ONE_THOUSAND_ERROR_IN_RED and api_out[one_thousand_index] < CompareConst.ONE_THOUSAND_ERROR_OUT_RED: + color_columns.red.append(num) + elif api_in[one_thousand_index] - api_out[one_thousand_index] > CompareConst.ONE_THOUSAND_ERROR_DIFF_YELLOW: + color_columns.yellow.append(num) + + +class CheckCosineSimilarity(HighlightCheck): + """检查余弦相似度""" + def apply(self, info, color_columns, summary_compare=True): + api_in, api_out, num = info + cosine_index = get_header_index('Cosine', summary_compare) + if not isinstance(api_in[cosine_index], (float, int)) or not isinstance(api_out[cosine_index], (float, int)): + return + if api_in[cosine_index] - api_out[cosine_index] > CompareConst.COSINE_DIFF_YELLOW: + color_columns.yellow.append(num) + + +class CheckMaxRelativeDiff(HighlightCheck): + """检查最大相对差异""" + def apply(self, info, color_columns, summary_compare=True): + api_in, api_out, num = info + max_diff_index = get_header_index('Max diff', summary_compare) + bench_max_index = get_header_index('Bench max', summary_compare) + input_max_relative_diff = np.abs(np.divide(api_in[max_diff_index], max(0.01, api_in[bench_max_index]))) + output_max_relative_diff = np.abs(np.divide(api_out[max_diff_index], max(0.01, api_out[bench_max_index]))) + if not isinstance(input_max_relative_diff, (float, int)) or not isinstance(output_max_relative_diff, + (float, int)): + return + if output_max_relative_diff > CompareConst.MAX_RELATIVE_OUT_RED: + color_columns.red.append(num) + elif output_max_relative_diff > CompareConst.MAX_RELATIVE_OUT_YELLOW and input_max_relative_diff < CompareConst.MAX_RELATIVE_IN_YELLOW: + color_columns.yellow.append(num) + + +class CheckOverflow(HighlightCheck): + """检查是否存在溢出""" + def apply(self, info, color_columns, summary_compare=True): + line, num = info + npu_max_index = get_header_index('NPU max', summary_compare) + npu_min_index = get_header_index('NPU min', summary_compare) + max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) + if str(line[npu_max_index]) in CompareConst.OVERFLOW_LIST or str( + line[npu_min_index]) in CompareConst.OVERFLOW_LIST: + color_columns.red.append(num) + return + # check if Max_Diff > 1e+10 + if isinstance(line[max_diff_index], (float, int)) and line[max_diff_index] > CompareConst.MAX_DIFF_RED: + color_columns.red.append(num) + + +class HighlightRules: + """高亮规则集合，用于检查API的误差""" + # 适用于每行的规则 + basic_rules = { + "check_overflow": CheckOverflow() + } + + # 用于比较输入和输出的规则 + compare_rules = { + "check_order_magnitude": CheckOrderMagnitude(), + "check_one_thousand_error": CheckOneThousandErrorRatio(), + "check_cosine_similarity": CheckCosineSimilarity() + } + summary_compare_rules = { + "check_order_magnitude": CheckOrderMagnitude(), + "check_max_relative_diff": CheckMaxRelativeDiff(), + } diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml b/debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml new file mode 100644 index 0000000000..eaffbe7a18 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml @@ -0,0 +1,607 @@ +__and__: __and__ +__iand__: __iand__ +__ilshift__: __ilshift__ +__ior__: __ior__ +__irshift__: __irshift__ +__ixor__: __ixor__ +__lshift__: __lshift__ +__or__: __or__ +__rshift__: __rshift__ +__xor__: __xor__ +_adaptive_avg_pool2d: adaptive_avg_pool2d +_adaptive_avg_pool3d: adaptive_avg_pool3d +_cdist_forward: cdist +_cudnn_rnn: rnn +_embedding_bag: embedding_bag +_fft_c2c: fft +_fft_c2r: rfft +_foreach_add_: _foreach_add_ +_foreach_addcdiv: _foreach_addcdiv +_foreach_copy_: _foreach_copy_ +_foreach_lerp_: _foreach_lerp_ +_foreach_maximum: _foreach_maximum +_foreach_mul: _foreach_mul +_foreach_neg_: _foreach_neg_ +_foreach_pow: _foreach_pow +_foreach_reciprocal_: _foreach_reciprocal_ +_foreach_sign: _foreach_sign +_foreach_sqrt: _foreach_sqrt +_foreach_sqrt_: _foreach_sqrt_ +_foreach_sub: _foreach_sub +_fused_adam: FusedAdam +_linalg_det: det +_linalg_eigh: eigh +_linalg_slogdet: slogdet +_linalg_svd: svd +_list_to_tensor: as_tensor +_log_softmax: log_softmax +_native_batch_norm_legit: batch_norm +_nested_tensor_from_tensor_list: _nested_tensor_from_tensor_list +_pdist_forward: pdist +_pin_memory: pin_memory +_reshape_alias: reshape +_resize_output_: resize_ +_softmax: softmax +_to_copy: to +abs: abs +abs_: abs_ +absolute: abs +absolute_: abs_ +acos: acos +acos_: acos_ +acosh: acosh +acosh_: acosh_ +adaptive_max_pool2d: adaptive_max_pool2d +adaptive_max_pool3d: adaptive_max_pool3d +add: add +add_: add_ +addbmm: addbmm +addbmm_: addbmm_ +addcdiv: addcdiv +addcdiv_: addcdiv_ +addcmul: addcmul +addcmul_: addcmul_ +addmm: addmm +addmm_: addmm_ +addmv: addmv +addmv_: addmv_ +addr: addr +affine_grid_generator: affine_grid +alias: alias +all: all +alpha_dropout: AlphaDropout +amax: amax +amin: amin +aminmax: aminmax +angle: angle +any: any +arange: arange +arccos: acos +arccos_: arccos_ +arccosh: arccosh +arccosh_: arccosh_ +arcsin: asin +arcsin_: arcsin_ +arcsinh: asinh +arcsinh_: arcsinh_ +arctan: atan +arctan2: atan2 +arctan2_: arctan2_ +arctan_: arctan_ +arctanh: arctanh +arctanh_: arctanh_ +argmax: argmax +argmin: argmin +argsort: argsort +as_strided: as_strided +asin: asin +asin_: asin_ +asinh: asinh +asinh_: asinh_ +atan: atan +atan2: atan2 +atan2_: atan2_ +atan_: atan_ +atanh: atanh +atanh_: atanh_ +avg_pool2d: avg_pool2d +avg_pool3d: avg_pool3d +baddbmm: baddbmm +baddbmm_: baddbmm_ +bernoulli: bernoulli +bernoulli_: bernoulli_ +binary_cross_entropy: BCELoss +binary_cross_entropy_with_logits: binary_cross_entropy_with_logits +bitwise_and: bitwise_and +bitwise_and_: bitwise_and_ +bitwise_left_shift: __lshift__ +bitwise_left_shift_: bitwise_left_shift_ +bitwise_not: bitwise_not +bitwise_not_: bitwise_not_ +bitwise_or: bitwise_or +bitwise_or_: bitwise_or_ +bitwise_right_shift: __rshift__ +bitwise_right_shift_: bitwise_right_shift_ +bitwise_xor: bitwise_xor +bitwise_xor_: bitwise_xor_ +bmm: bmm +broadcast_tensors: broadcast_tensors +bucketize: bucketize +cat: cat +cauchy: Cauchy +cauchy_: cauchy_ +ceil: ceil +ceil_: ceil_ +celu: celu +celu_: celu_ +cholesky: cholesky +cholesky_inverse: cholesky_inverse +cholesky_solve: cholesky_solve +clamp: clamp +clamp_: clamp_ +clamp_max: clamp_max +clamp_max_: clamp_max_ +clamp_min: clamp_min +clamp_min_: clamp_min_ +clip: clip +clip_: clip_ +clone: clone +col2im: col2im +complex: complex +conj_physical: conj +conj_physical_: conj_ +constant_pad_nd: pad +convolution: Conv2d +copy: copy_ +copy_: copy_ +copysign: copysign +copysign_: copysign_ +cos: cos +cos_: cos_ +cosh: cosh +cosh_: cosh_ +count_nonzero: count_nonzero +cudnn_batch_norm: BatchNorm2d +cummax: cummax +cummin: cummin +cumprod: cumprod +cumprod_: cumprod_ +cumsum: cumsum +cumsum_: cumsum_ +deg2rad: deg2rad +deg2rad_: deg2rad_ +detach: detach +diag: diag +diag_embed: diag_embed +diagonal: diagonal +diagonal_copy: diagonal +diagonal_scatter: diagonal +digamma: digamma +digamma_: digamma_ +dist: dist +div: div +div_: div_ +divide: div +divide_: divide_ +dot: dot +dropout: dropout +elu: ELU +elu_: elu_ +embedding: embedding +empty_like: empty_like +empty_strided: empty_strided +eq: eq +eq_: eq_ +erf: erf +erf_: erf_ +erfc: erfc +erfc_: erfc_ +erfinv: erfinv +erfinv_: erfinv_ +exp: exp +exp2: exp2 +exp2_: exp2_ +exp_: exp_ +expand: expand +expm1: expm1 +expm1_: expm1_ +exponential: Exponential +exponential_: exponential_ +eye: eye +fft_fft: fft +fft_fft2: fft2 +fft_fftn: fftn +fft_fftshift: fftshift +fft_hfft: hfft +fft_hfft2: hfft2 +fft_hfftn: hfftn +fft_ifft: ifft +fft_ifft2: ifft2 +fft_ifftn: ifftn +fft_ifftshift: ifftshift +fft_ihfft: ihfft +fft_ihfft2: ihfft2 +fft_ihfftn: ifftn +fft_irfft: irfft +fft_irfft2: irfft2 +fft_irfftn: irfftn +fft_rfft: rfft +fft_rfft2: rfft2 +fft_rfftn: rfftn +fill: fill_ +fill_: fill_ +fix: fix +fix_: fix_ +flip: flip +float_power_: float_power_ +floor: floor +floor_: floor_ +floor_divide: floor_divide +floor_divide_: floor_divide_ +fmax: fmax +fmin: fmin +fmod: fmod +fmod_: fmod_ +frac: frac +frac_: frac_ +full: full +full_like: full_like +gather: gather +gcd: gcd +gcd_: gcd_ +ge: ge +ge_: ge_ +gelu: GELU +gelu_: gelu_ +geometric: Geometric +geometric_: geometric_ +glu: glu +greater: gt +greater_: ge_ +greater_equal: ge +greater_equal_: ge_ +grid_sampler_2d: grid_sample +grid_sampler_3d: grid_sample +gru: GRU +gt: gt +gt_: gt_ +hardshrink: Hardshrink +hardsigmoid: hardsigmoid +hardsigmoid_: hardsigmoid_ +hardswish: hardswish +hardswish_: hardswish_ +hardtanh: hardtanh +hardtanh_: hardtanh_ +heaviside: heaviside +heaviside_: heaviside_ +hinge_embedding_loss: HingeEmbeddingLoss +huber_loss: huber_loss +hypot: hypot +hypot_: hypot_ +i0: i0 +i0_: i0_ +igamma: igamma +igamma_: igamma_ +igammac: igammac +igammac_: igammac_ +index: __getitem__ +index_add: index_add +index_add_: index_add_ +index_copy: index_copy_ +index_copy_: index_copy_ +index_fill: index_fill_ +index_fill_: index_fill_ +index_put: index_put_ +index_put_: index_put_ +index_reduce: index_select +index_select: index_select +is_pinned: is_pinned +is_same_size: is_same_size +isinf: isinf +isnan: isnan +isneginf: isneginf +isposinf: isposinf +istft: istft +item: item +lcm: lcm +lcm_: lcm_ +le: le +le_: le_ +leaky_relu: LeakyReLU +leaky_relu_: leaky_relu_ +lerp: lerp +lerp_: lerp_ +less: less +less_: less_ +less_equal: le +less_equal_: less_equal_ +lgamma: lgamma +lgamma_: lgamma_ +linalg_cholesky_ex: cholesky +linalg_cross: cross +linalg_householder_product: householder_product +linalg_inv_ex: inv +linalg_ldl_factor_ex: ldl +linalg_ldl_solve: ldl_solve +linalg_lu: lu +linalg_lu_factor_ex: lu_factor +linalg_lu_solve: lu_solve +linalg_matrix_exp: matrix_exp +linalg_qr: qr +linalg_solve_triangular: solve +linalg_vector_norm: norm +linspace: linspace +log: log +log10: log10 +log10_: log10_ +log1p: log1p +log1p_: log1p_ +log2: log2 +log2_: log2_ +log_: log_ +log_normal: LogNormal +log_sigmoid_forward: log_sigmoid +logaddexp: logaddexp +logaddexp2: logaddexp2 +_native_batch_norm_legit_functional: batch_norm +logcumsumexp: logcumsumexp +logical_and: logical_and +logical_and_: logical_and_ +logical_not: logical_not +logical_not_: logical_not_ +logical_or: logical_or +logical_or_: logical_or_ +logical_xor: logical_xor +logical_xor_: logical_xor_ +logit: logit +logit_: logit_ +logspace: logspace +logsumexp: logsumexp +lstm: LSTM +lt: lt +lt_: lt_ +lu_unpack: lu_unpack +margin_ranking_loss: margin_ranking_loss +masked_fill: masked_fill +masked_fill_: masked_fill_ +matmul: matmul +max: max +max_pool2d_with_indices: MaxPool2d +max_pool3d_with_indices: MaxPool3d +max_unpool2d: MaxUnpool2d +max_unpool3d: max_unpool3d +maximum: maximum +mean: mean +median: median +meshgrid: meshgrid +min: min +minimum: minimum +mish: Mish +mish_: mish_ +mm: mm +mode: mode +mse_loss: mse_loss +mul: mul +mul_: mul_ +multi_margin_loss: MultiMarginLoss +multilabel_margin_loss_forward: multilabel_margin_loss +multinomial: multinomial +multiply: multiply +multiply_: mul_ +mv: mv +mvlgamma: mvlgamma +mvlgamma_: mvlgamma_ +name: name +nan_to_num: nan_to_num +nan_to_num_: nan_to_num_ +nanmedian: nanmedian +nansum: nansum +narrow_copy: narrow +native_batch_norm: BatchNorm2d +native_dropout: dropout +native_group_norm: group_norm +native_layer_norm: LayerNorm +ne: ne +ne_: ne_ +neg: neg +neg_: neg_ +negative: neg +negative_: neg_ +new_empty: new_empty +new_empty_strided: new_empty_strided +new_full: new_full +new_ones: new_ones +new_zeros: new_zeros +nextafter: nextafter +nextafter_: nextafter_ +nll_loss: nll_loss +nll_loss2d_forward: NLLLoss2d +nll_loss_forward: NLLLoss +nonzero_static: nonzero +norm: norm +normal: normal +normal_: normal_ +not_equal: ne +not_equal_: ne_ +ones: ones +ones_like: ones_like +ormqr: ormqr +pairwise_distance: pairwise_distance +pdist: pdist +permute: permute +pin_memory: pin_memory +pixel_shuffle: PixelShuffle +polar: polar +polygamma: polygamma +positive: positive +pow: pow +pow_: pow_ +prelu: prelu +prod: prod +quantized_gru: GRU +quantized_lstm: LSTM +rad2deg: rad2deg +rad2deg_: rad2deg_ +rand: rand +rand_like: rand_like +randint: randint +randint_like: randint_like +randn: randn +randn_like: randn_like +randperm: randperm +reciprocal: reciprocal +reciprocal_: reciprocal_ +reflection_pad1d: reflection_pad1d +reflection_pad2d: reflection_pad2d +reflection_pad3d: ReflectionPad3d +relu: relu +relu6: relu6 +relu_: relu_ +remainder: remainder +remainder_: remainder_ +renorm: renorm +renorm_: renorm_ +repeat: repeat +repeat_interleave: repeat_interleave +replication_pad1d: ReplicationPad1d +replication_pad2d: replication_pad2d +replication_pad3d: replication_pad3d +resize_as_: resize_as_ +rnn_relu: RNN +rnn_tanh: RNN +roll: roll +rot90: rot90 +round: round +round_: round_ +rrelu_with_noise: RReLU +rrelu_with_noise_: rrelu_with_noise +rsqrt: rsqrt +rsqrt_: rsqrt_ +rsub: rsub +scalar_tensor: scalar_tensor +scatter: scatter_ +scatter_: scatter_ +scatter_add: scatter_add +scatter_add_: scatter_add_ +searchsorted: searchsorted +select: select +selu: selu +selu_: selu_ +sgn: sgn +sgn_: sgn_ +sigmoid: sigmoid +sigmoid_: sigmoid_ +sign: sign +sign_: sign_ +signbit: signbit +silu: silu +silu_: silu_ +sin: sin +sin_: sin_ +sinc: sinc +sinc_: sinc_ +sinh: sinh +sinh_: sinh_ +slice: slice +smooth_l1_loss: smooth_l1_loss +soft_margin_loss: soft_margin_loss +softplus: softplus +softshrink: softshrink +sort: sort +special_airy_ai: airy_ai +special_bessel_j0: j0 +special_bessel_j1: j1 +special_bessel_y0: y0 +special_bessel_y1: y1 +special_chebyshev_polynomial_t: chebyshev_t +special_chebyshev_polynomial_u: chebyshev_u +special_entr: entr +special_erfcx: erfcx +special_hermite_polynomial_h: hermite +special_hermite_polynomial_he: he +special_i0: i0 +special_i0e: i0e +special_i1: i1 +special_i1e: i1e +special_laguerre_polynomial_l: laguerre_l +special_log_ndtr: log_ndtr +special_modified_bessel_i0: i0 +special_modified_bessel_i1: i1 +special_modified_bessel_k0: k0 +special_modified_bessel_k1: i1 +special_ndtr: ndtr +special_ndtri: ndtri +special_scaled_modified_bessel_k0: i0e +special_scaled_modified_bessel_k1: scaled_modified_bessel_k1 +special_spherical_bessel_j0: spherical_jn +special_xlog1py: xlog1py +special_zeta: zeta +split: split +split_with_sizes: split +sqrt: sqrt +sqrt_: sqrt_ +square: square +square_: square_ +squeeze: squeeze +stack: stack +std: std +std_mean: std_mean +stft: stft +sub: sub +sub_: sub_ +subtract: sub +subtract_: subtract_ +sum: sum +t: t +t_: t_ +take: take +tan: tan +tan_: tan_ +tanh: tanh +tanh_: tanh_ +threshold: threshold +threshold_: threshold_ +to: to +topk: topk +trace: trace +transpose: transpose +transpose_: transpose_ +triangular_solve: triangular_solve +tril: tril +tril_: tril_ +tril_indices: tril_indices +triu: triu +triu_: triu_ +triu_indices: triu_indices +true_divide: true_divide +true_divide_: true_divide_ +trunc: trunc +trunc_: trunc_ +unbind: unbind +unfold: unfold +uniform: Uniform +uniform_: uniform_ +unsafe_chunk: unsafe_chunk +unsafe_split: split +unsafe_split_with_sizes: split_with_sizes +unsqueeze: unsqueeze +unsqueeze_: unsqueeze_ +upsample_bicubic2d: interpolate +upsample_bilinear2d: upsample_bilinear +upsample_nearest1d: interpolate +upsample_nearest2d: interpolate +upsample_nearest3d: interpolate +var: var +var_mean: var_mean +vdot: vdot +view: view +where: where +xlogy: xlogy +xlogy_: xlogy_ +zero: zeros +zero_: zero_ +zeros: zeros +zeros_like: zeros_like + + + diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/match.py b/debug/accuracy_tools/msprobe/mindspore/compare/match.py new file mode 100644 index 0000000000..6347d8887c --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/match.py @@ -0,0 +1,36 @@ +import os +import yaml +from msprobe.core.common.file_check import FileOpen +from msprobe.core.common.utils import CompareException + + +class AtenIrMapping(): + def __init__(self): + cur_path = os.path.dirname(os.path.realpath(__file__)) + yaml_path = os.path.join(cur_path, "mapping.yaml") + with FileOpen(yaml_path, 'r') as f: + self.aten_mapping = yaml.safe_load(f) + + def match(self, op1, op2): + if "Aten" in op1 and "Aten" not in op2: + return self.match_op(op1, op2) + else: + return self.match_op(op2, op1) + + def match_op(self, aten_op, torch_op): + try: + aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) + aten_op_raw_name = aten_op_raw_name_overload.split('.')[0] + torch_op_raw_name = '_'.join(torch_op.split("_")[1:-3]).lower() + except IndexError as e: + err_msg = f"Dump op name format error: {aten_op}, {torch_op}. Your dump data may be corrupted." + raise CompareException.INVALID_DATA_ERROR(err_msg) from e + matching_op = self.aten_mapping.get(aten_op_raw_name) + if matching_op is None: + return False + if matching_op.lower() == torch_op_raw_name: + return True + return False + + +graph_mapping = AtenIrMapping() diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py new file mode 100644 index 0000000000..4ebe6296b7 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py @@ -0,0 +1,244 @@ +import abc +import numpy as np +from msprobe.core.common.utils import format_value +from msprobe.core.common.const import Const, CompareConst +from msprobe.mindspore.common.log import logger + + +def handle_inf_nan(n_value, b_value): + """处理inf和nan的数据""" + n_inf = np.isinf(n_value) + b_inf = np.isinf(b_value) + n_nan = np.isnan(n_value) + b_nan = np.isnan(b_value) + n_invalid = np.any(n_inf) or np.any(n_nan) + b_invalid = np.any(b_inf) or np.any(b_nan) + if n_invalid or b_invalid: + if np.array_equal(n_inf, b_inf) and np.array_equal(n_nan, b_nan): + n_value[n_inf] = 0 + b_value[b_inf] = 0 + n_value[n_nan] = 0 + b_value[b_nan] = 0 + else: + return CompareConst.NAN, CompareConst.NAN + return n_value, b_value + + +def get_error_type(n_value, b_value, error_flag): + """判断数据是否有异常并返回异常的n_value, b_value，同时返回error_flag""" + if error_flag: + return CompareConst.READ_NONE, CompareConst.READ_NONE, True + if n_value.size == 0: # 判断读取到的数据是否为空 + return CompareConst.NONE, CompareConst.NONE, True + if n_value.shape != b_value.shape: # 判断NPU和bench的数据结构是否一致 + return CompareConst.SHAPE_UNMATCH, CompareConst.SHAPE_UNMATCH, True + if not n_value.shape: # 判断数据是否为标量 + return n_value, b_value, False + + n_value, b_value = handle_inf_nan(n_value, b_value) # 判断是否有nan/inf数据 + if n_value is CompareConst.NAN or b_value is CompareConst.NAN: + return CompareConst.NAN, CompareConst.NAN, True + return n_value, b_value, False + + +def reshape_value(n_value, b_value): + """返回reshape后的数据""" + if not n_value.shape: # 判断数据是否为标量 + if n_value.dtype == bool: + n_value = n_value.astype(float) + b_value = b_value.astype(float) + return n_value, b_value + + n_value = n_value.reshape(-1).astype(float) + b_value = b_value.reshape(-1).astype(float) + return n_value, b_value + + +def get_error_message(n_value, b_value, op_name, error_flag, error_file=None): + """获取异常情况的错误信息""" + if error_flag: + if n_value == CompareConst.READ_NONE: + if error_file: + return "Dump file: {} not found.".format(error_file) + return CompareConst.NO_BENCH + if n_value == CompareConst.NONE: + return "This is empty data, can not compare." + if n_value == CompareConst.SHAPE_UNMATCH: + return "Shape of NPU and bench Tensor do not match. Skipped." + if n_value == CompareConst.NAN: + return "The position of inf or nan in NPU and bench Tensor do not match." + else: + if not n_value.shape: + return "This is type of scalar data, can not compare." + if n_value.dtype != b_value.dtype: + logger.warning("Dtype of NPU and bench Tensor do not match: {}".format(op_name)) + return "Dtype of NPU and bench Tensor do not match." + return "" + + +class TensorComparisonBasic(abc.ABC): + """NPU和bench中npy数据的比较模板""" + @abc.abstractmethod + def apply(self, n_value, b_value, error_flag, relative_err=None): + raise NotImplementedError + + +class GetCosineSimilarity(TensorComparisonBasic): + """计算cosine相似度""" + @staticmethod + def correct_data(result): + if result == CompareConst.NAN: + return result + if float(result) > CompareConst.COSINE_THRESHOLD: + return 1.0 + return result + + def apply(self, n_value, b_value, error_flag, relative_err=None): + if error_flag: + if n_value == CompareConst.READ_NONE: + return CompareConst.NONE, '' + if n_value == CompareConst.NONE: + return CompareConst.UNSUPPORTED, '' + if n_value == CompareConst.SHAPE_UNMATCH: + return CompareConst.SHAPE_UNMATCH, '' + if n_value == CompareConst.NAN: + return "N/A", '' + + if not n_value.shape: + return CompareConst.UNSUPPORTED, '' + + with np.errstate(divide='ignore', invalid='ignore'): + if len(n_value) == 1: + return CompareConst.UNSUPPORTED, "This tensor is scalar." + num = n_value.dot(b_value) + a_norm = np.linalg.norm(n_value) + b_norm = np.linalg.norm(b_value) + + if a_norm <= Const.FLOAT_EPSILON and b_norm <= Const.FLOAT_EPSILON: + return 1.0, '' + if a_norm <= Const.FLOAT_EPSILON: + return CompareConst.NAN, 'Cannot compare by Cosine Similarity, All the data is Zero in npu dump data.' + if b_norm <= Const.FLOAT_EPSILON: + return CompareConst.NAN, 'Cannot compare by Cosine Similarity, All the data is Zero in Bench dump data.' + + cos = num / (a_norm * b_norm) + if np.isnan(cos): + return CompareConst.NAN, 'Cannot compare by Cosine Similarity, the dump data has NaN.' + result = format_value(cos) + result = self.correct_data(result) + return 1.0 if float(result) > 0.99999 else result, '' + + +class GetMaxAbsErr(TensorComparisonBasic): + """计算最大绝对误差""" + def apply(self, n_value, b_value, error_flag, relative_err=None): + if error_flag: + if n_value == CompareConst.READ_NONE: + return CompareConst.NONE, "" + if n_value == CompareConst.NONE: + return 0, "" + if n_value == CompareConst.SHAPE_UNMATCH: + return CompareConst.SHAPE_UNMATCH, "" + if n_value == CompareConst.NAN: + return "N/A", "" + + temp_res = n_value - b_value + max_value = np.max(np.abs(temp_res)) + return format_value(max_value), "" + + +def get_relative_err(n_value, b_value): + """计算相对误差""" + with np.errstate(divide='ignore', invalid='ignore'): + if b_value.dtype not in CompareConst.FLOAT_TYPE: + n_value, b_value = n_value.astype(float), b_value.astype(float) + zero_mask = (b_value == 0) + b_value[zero_mask] += np.finfo(b_value.dtype).eps + n_value[zero_mask] += np.finfo(b_value.dtype).eps + relative_err = np.divide((n_value - b_value), b_value) + return np.abs(relative_err) + + +class GetMaxRelativeErr(TensorComparisonBasic): + """计算最大相对误差""" + def apply(self, n_value, b_value, error_flag, relative_err=None): + if error_flag: + if n_value == CompareConst.READ_NONE: + return CompareConst.NONE, '' + if n_value == CompareConst.NONE: + return 0, '' + if n_value == CompareConst.SHAPE_UNMATCH: + return CompareConst.SHAPE_UNMATCH, '' + if n_value == CompareConst.NAN: + return "N/A", '' + + if relative_err is None: + relative_err = get_relative_err(n_value, b_value) + max_relative_err = np.max(np.abs(relative_err)) + if np.isnan(max_relative_err): + message = 'Cannot compare by MaxRelativeError, the data contains nan in dump data.' + return CompareConst.NAN, message + return format_value(max_relative_err), '' + + +class GetThousandErrRatio(TensorComparisonBasic): + """计算相对误差小于千分之一的比例""" + def apply(self, n_value, b_value, error_flag, relative_err=None): + if error_flag: + if n_value == CompareConst.READ_NONE: + return CompareConst.NONE, "" + if n_value == CompareConst.NONE: + return 0, "" + if n_value == CompareConst.SHAPE_UNMATCH: + return CompareConst.SHAPE_UNMATCH, "" + if n_value == CompareConst.NAN: + return "N/A", "" + + if not n_value.shape: + return CompareConst.NAN, "" + if relative_err is None: + relative_err = get_relative_err(n_value, b_value) + if not np.size(relative_err): + return CompareConst.NAN, "" + return format_value(np.sum(relative_err < CompareConst.THOUSAND_RATIO_THRESHOLD) / np.size(relative_err)), "" + + +class GetFiveThousandErrRatio(TensorComparisonBasic): + """计算相对误差小于千分之五的比例""" + def apply(self, n_value, b_value, error_flag, relative_err=None): + if error_flag: + if n_value == CompareConst.READ_NONE: + return CompareConst.NONE, "" + if n_value == CompareConst.NONE: + return 0, "" + if n_value == CompareConst.SHAPE_UNMATCH: + return CompareConst.SHAPE_UNMATCH, "" + if n_value == CompareConst.NAN: + return "N/A", "" + + if not n_value.shape: + return CompareConst.NAN, "" + if relative_err is None: + relative_err = get_relative_err(n_value, b_value) + if not np.size(relative_err): + return CompareConst.NAN, "" + return format_value(np.sum(relative_err < CompareConst.FIVE_THOUSAND_RATIO_THRESHOLD) / np.size(relative_err)), "" + + +class CompareOps: + compare_ops = { + "cosine_similarity": GetCosineSimilarity(), + "max_abs_error": GetMaxAbsErr(), + "max_relative_error": GetMaxRelativeErr(), + "one_thousand_err_ratio": GetThousandErrRatio(), + "five_thousand_err_ratio": GetFiveThousandErrRatio() + } + + +def compare_ops_apply(n_value, b_value, error_flag, err_msg, relative_err=None): + result_list = [] + for op in CompareOps.compare_ops.values(): + result, msg = op.apply(n_value, b_value, error_flag, relative_err=relative_err) + err_msg += msg + result_list.append(result) + return result_list, err_msg -- Gitee From f96024eb2515d459f643c256f7f03bfbbca314af Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 31 Jul 2024 23:28:06 +0800 Subject: [PATCH 004/160] =?UTF-8?q?=E5=A2=9E=E5=8A=A0mindspore=E5=AF=B9msp?= =?UTF-8?q?robe=E5=85=AC=E5=85=B1=E7=BB=84=E4=BB=B6=E7=9A=84=E4=BE=9D?= =?UTF-8?q?=E8=B5=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/mindspore/__init__.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index 3bf42d1e39..0771444291 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1 +1,4 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger +from .common.utils import seed_all +from .compare.acc_compare import compare +from .compare.distributed_compare import compare_distributed -- Gitee From 1e172e4d6226f9738f2e4599cf327aa0fd7aed99 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Thu, 1 Aug 2024 17:08:31 +0800 Subject: [PATCH 005/160] compare command --- debug/accuracy_tools/msprobe/core/common/const.py | 1 + debug/accuracy_tools/msprobe/core/common/utils.py | 4 ++-- debug/accuracy_tools/msprobe/msprobe.py | 2 +- debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 3 ++- 4 files changed, 6 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index b59536aa5d..e3d3c4e01b 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -20,6 +20,7 @@ class Const: DEFAULT_PATH = './' WHITE_LIST = 'white_list' BLACK_LIST = 'black_list' + DUMP_TENSOR_DATA = '/dump_tensor_data' # dump mode ALL = "all" diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index 32aba8d8af..5662fed6bc 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -496,8 +496,8 @@ def task_dumppath_get(input_param): else: logger.error(f"Compare is not required for overflow_check or free_benchmark.") raise CompareException(CompareException.INVALID_TASK_ERROR) - input_param['npu_dump_data_dir'] = npu_json_data['dump_data_dir'] - input_param['bench_dump_data_dir'] = bench_json_data['dump_data_dir'] + input_param['npu_dump_data_dir'] = os.path.dirname(npu_json_path) + Const.DUMP_TENSOR_DATA + input_param['bench_dump_data_dir'] = os.path.dirname(bench_json_path) + Const.DUMP_TENSOR_DATA return summary_compare, md5_compare diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 12b04920a9..a815e7c535 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -37,7 +37,7 @@ def main(): help='Deep learning framework.') subparsers = parser.add_subparsers() subparsers.add_parser('parse') - compare_cmd_parser = subparsers.add_parser('run_ut') + compare_cmd_parser = subparsers.add_parser('compare') run_ut_cmd_parser = subparsers.add_parser('run_ut') multi_run_ut_cmd_parser = subparsers.add_parser('multi_run_ut') api_precision_compare_cmd_parser = subparsers.add_parser('api_precision_compare') diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 88c8395116..7b9d4eca40 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -15,6 +15,7 @@ # limitations under the License. """ +import argparse import json import multiprocessing import os.path @@ -1045,7 +1046,7 @@ def _compare_parser(parser): help=" The compare task result out path.", required=True) parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", help=" Whether to save stack info.", required=False) - parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_true", + parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", help=" Whether to give advisor.", required=False) parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", help=" Whether to perform a fuzzy match on the api name.", required=False) -- Gitee From 57708049aaeda067d92d79a757d9330c10bd7ab0 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Thu, 1 Aug 2024 17:29:29 +0800 Subject: [PATCH 006/160] compare command --- debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 7b9d4eca40..120ee8464c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -650,10 +650,7 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) -# def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, -# fuzzy_match=False): def compare(args): - #### 需要增加文件路径路径校验 with FileOpen(args.input_path, "r") as file: input_param = json.load(file) try: -- Gitee From 9ab00ace6c3bbdb588a7db4ff8a4cddc57d1d5f6 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 1 Aug 2024 20:05:41 +0800 Subject: [PATCH 007/160] =?UTF-8?q?=E8=A7=A3=E5=86=B3importerror=E9=94=99?= =?UTF-8?q?=E8=AF=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/mindspore/__init__.py | 1 - 1 file changed, 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index 0771444291..d131591a33 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1,4 +1,3 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger -from .common.utils import seed_all from .compare.acc_compare import compare from .compare.distributed_compare import compare_distributed -- Gitee From 71486de5222ae82330b7f22bd1b317b496bb6ea3 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Fri, 2 Aug 2024 08:56:15 +0800 Subject: [PATCH 008/160] compare command --- debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 120ee8464c..eb2e957f62 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -698,9 +698,9 @@ def compare_core(input_parma, output_path, **kwargs): check_file_not_exists(file_path) highlight_dict = {'red_rows': [], 'yellow_rows': []} - with FileOpen(input_parma.get("npu_json_path"), "r") as npu_json, \ - FileOpen(input_parma.get("bench_json_path"), "r") as bench_json, \ - FileOpen(input_parma.get("stack_json_path"), "r") as stack_json: + with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ + FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ + FileOpen(input_parma.get("stack_path"), "r") as stack_json: result_df = compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, summary_compare, md5_compare) -- Gitee From a304a065fcb35267ef9d205a8b4ecfedf1a02864 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Fri, 2 Aug 2024 09:24:09 +0800 Subject: [PATCH 009/160] compare command --- debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index eb2e957f62..9c36fb7a6f 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -671,8 +671,8 @@ def compare_core(input_parma, output_path, **kwargs): Compares data from multiple JSON files and generates a comparison report. Args: - input_parma (dict): A dictionary containing paths to JSON files ("npu_json_path", "bench_json_path", - "stack_json_path"). + input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", + "stack_path"). output_path (str): The path where the output Excel report will be saved. **kwargs: Additional keyword arguments including: - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. -- Gitee From ae0c13cdb738cf7b509173023376d242727394d0 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Fri, 2 Aug 2024 09:38:28 +0800 Subject: [PATCH 010/160] compare command --- .../msprobe/core/common/utils.py | 42 +++++++++---------- .../msprobe/pytorch/compare/acc_compare.py | 2 +- .../pytorch/compare/distributed_compare.py | 14 +++---- 3 files changed, 29 insertions(+), 29 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index 5662fed6bc..37a7733e12 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -148,21 +148,21 @@ def check_summary_only_valid(summary_only): return summary_only -def check_compare_param(input_parma, output_path, stack_mode=False, summary_compare=False, md5_compare=False): - if not (isinstance(input_parma, dict) and isinstance(output_path, str)): +def check_compare_param(input_param, output_path, summary_compare=False, md5_compare=False): + if not (isinstance(input_param, dict) and isinstance(output_path, str)): logger.error("Invalid input parameters") raise CompareException(CompareException.INVALID_PARAM_ERROR) - check_file_or_directory_path(input_parma.get("npu_json_path"), False) - check_file_or_directory_path(input_parma.get("bench_json_path"), False) - check_file_or_directory_path(input_parma.get("stack_json_path"), False) + check_file_or_directory_path(input_param.get("npu_path"), False) + check_file_or_directory_path(input_param.get("bench_path"), False) + check_file_or_directory_path(input_param.get("stack_path"), False) if not summary_compare and not md5_compare: - check_file_or_directory_path(input_parma.get("npu_dump_data_dir"), True) - check_file_or_directory_path(input_parma.get("bench_dump_data_dir"), True) + check_file_or_directory_path(input_param.get("npu_dump_data_dir"), True) + check_file_or_directory_path(input_param.get("bench_dump_data_dir"), True) check_file_or_directory_path(output_path, True) - with FileOpen(input_parma.get("npu_json_path"), "r") as npu_json, \ - FileOpen(input_parma.get("bench_json_path"), "r") as bench_json, \ - FileOpen(input_parma.get("stack_json_path"), "r") as stack_json: - check_json_file(input_parma, npu_json, bench_json, stack_json) + with FileOpen(input_param.get("npu_path"), "r") as npu_json, \ + FileOpen(input_param.get("bench_path"), "r") as bench_json, \ + FileOpen(input_param.get("stack_path"), "r") as stack_json: + check_json_file(input_param, npu_json, bench_json, stack_json) def check_configuration_param(stack_mode=False, auto_analyze=True, fuzzy_match=False): @@ -201,9 +201,9 @@ def _check_json(json_file_handle, file_name): def check_json_file(input_param, npu_json, bench_json, stack_json): - _check_json(npu_json, input_param.get("npu_json_path")) - _check_json(bench_json, input_param.get("bench_json_path")) - _check_json(stack_json, input_param.get("stack_json_path")) + _check_json(npu_json, input_param.get("npu_path")) + _check_json(bench_json, input_param.get("bench_path")) + _check_json(stack_json, input_param.get("stack_path")) def check_file_size(input_file, max_size): @@ -472,14 +472,14 @@ def md5_find(data): def task_dumppath_get(input_param): - npu_json_path = input_param.get("npu_json_path", None) - bench_json_path = input_param.get("bench_json_path", None) - if not npu_json_path or not bench_json_path: + npu_path = input_param.get("npu_path", None) + bench_path = input_param.get("bench_path", None) + if not npu_path or not bench_path: logger.error(f"Please check the json path is valid.") raise CompareException(CompareException.INVALID_PATH_ERROR) - with FileOpen(npu_json_path, 'r') as npu_f: + with FileOpen(npu_path, 'r') as npu_f: npu_json_data = json.load(npu_f) - with FileOpen(bench_json_path, 'r') as bench_f: + with FileOpen(bench_path, 'r') as bench_f: bench_json_data = json.load(bench_f) if npu_json_data['task'] != bench_json_data['task']: logger.error(f"Please check the dump task is consistent.") @@ -496,8 +496,8 @@ def task_dumppath_get(input_param): else: logger.error(f"Compare is not required for overflow_check or free_benchmark.") raise CompareException(CompareException.INVALID_TASK_ERROR) - input_param['npu_dump_data_dir'] = os.path.dirname(npu_json_path) + Const.DUMP_TENSOR_DATA - input_param['bench_dump_data_dir'] = os.path.dirname(bench_json_path) + Const.DUMP_TENSOR_DATA + input_param['npu_dump_data_dir'] = os.path.dirname(npu_path) + Const.DUMP_TENSOR_DATA + input_param['bench_dump_data_dir'] = os.path.dirname(bench_path) + Const.DUMP_TENSOR_DATA return summary_compare, md5_compare diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 9c36fb7a6f..f37282ff5e 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -657,7 +657,7 @@ def compare(args): summary_compare, md5_compare = task_dumppath_get(input_param) check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) create_directory(args.output_path) - check_compare_param(input_param, args.output_path, args.stack_mode, summary_compare, md5_compare) + check_compare_param(input_param, args.output_path, summary_compare, md5_compare) except CompareException as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index 0298eca9e7..fe8dcbfef0 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -89,21 +89,21 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): n_dir = os.path.join(npu_dump_dir, nr) b_dir = os.path.join(bench_dump_dir, br) s_dir = b_dir - npu_json_path = extract_json(n_dir, stack_json=False) - bench_json_path = extract_json(b_dir, stack_json=False) - stack_json_path = extract_json(s_dir, stack_json=True) + npu_path = extract_json(n_dir, stack_json=False) + bench_path = extract_json(b_dir, stack_json=False) + stack_path = extract_json(s_dir, stack_json=True) dump_result_param = { - 'npu_json_path': npu_json_path, - 'bench_json_path': bench_json_path, - 'stack_json_path': stack_json_path, + 'npu_path': npu_path, + 'bench_path': bench_path, + 'stack_path': stack_path, 'is_print_compare_log': True } try: summary_compare, md5_compare = task_dumppath_get(dump_result_param) check_configuration_param(stack_mode, auto_analyze, fuzzy_match) create_directory(output_path) - check_compare_param(dump_result_param, output_path, stack_mode=stack_mode, summary_compare=summary_compare) + check_compare_param(dump_result_param, output_path, summary_compare=summary_compare, md5_compare=md5_compare) except CompareException as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) -- Gitee From 71de52523bf5e046a4f5e24458afc525865d9ba1 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Fri, 2 Aug 2024 12:40:23 +0800 Subject: [PATCH 011/160] conflict fix --- debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 2 +- .../msprobe/pytorch/compare/distributed_compare.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index e8a3c8c055..c74f42daf5 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -662,7 +662,7 @@ def compare(args): check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) create_directory(args.output_path) check_compare_param(input_param, args.output_path, summary_compare, md5_compare) - except CompareException as error: + except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) compare_core(input_param, args.output_path, stack_mode=args.stack_mode, diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index f819ff7941..f5d28de40b 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -89,9 +89,9 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): for nr, br in zip(npu_ranks, bench_ranks): npu_data_dir = os.path.join(npu_dump_dir, nr) bench_data_dir = os.path.join(bench_dump_dir, br) - npu_json_path = extract_json(npu_data_dir, stack_json=False) - bench_json_path = extract_json(bench_data_dir, stack_json=False) - stack_json_path = extract_json(npu_data_dir, stack_json=True) + npu_path = extract_json(npu_data_dir, stack_json=False) + bench_path = extract_json(bench_data_dir, stack_json=False) + stack_path = extract_json(npu_data_dir, stack_json=True) dump_result_param = { 'npu_path': npu_path, -- Gitee From cb47e086b78847a8cf15374a425561d8f548283e Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Fri, 2 Aug 2024 14:03:43 +0800 Subject: [PATCH 012/160] ut fix --- .../msprobe/test/core_ut/common/test_utils.py | 38 +++++++++---------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py b/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py index edd3eb53dc..a1cd516c4d 100644 --- a/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py +++ b/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py @@ -189,28 +189,28 @@ class TestUtils(TestCase): @patch.object(logger, "error") def test_check_compare_param(self, mock_error): params = { - "npu_json_path": "npu_json_path", - "bench_json_path": "bench_json_path", - "stack_json_path": "stack_json_path", + "npu_path": "npu_path", + "bench_path": "bench_path", + "stack_path": "stack_path", "npu_dump_data_dir": "npu_dump_data_dir", "bench_dump_data_dir": "bench_dump_data_dir" } call_args = [ - ("npu_json_path", False), - ("bench_json_path", False), - ("stack_json_path", False), + ("npu_path", False), + ("bench_path", False), + ("stack_path", False), ("npu_dump_data_dir", True), ("bench_dump_data_dir", True), ("output_path", True), - ("npu_json_path", False), - ("bench_json_path", False), - ("stack_json_path", False), + ("npu_path", False), + ("bench_path", False), + ("stack_path", False), ("output_path", True) ] with self.assertRaises(CompareException) as context: - check_compare_param("npu_json_path", "output_path") + check_compare_param("npu_path", "output_path") self.assertEqual(context.exception.code, CompareException.INVALID_PARAM_ERROR) mock_error.assert_called_with("Invalid input parameters") @@ -264,14 +264,14 @@ class TestUtils(TestCase): @patch("msprobe.core.common.utils._check_json") def test_check_json_file(self, _mock_check_json): input_param = { - "npu_json_path": "npu_json_path", - "bench_json_path": "bench_json_path", - "stack_json_path": "stack_json_path" + "npu_path": "npu_path", + "bench_path": "bench_path", + "stack_path": "stack_path" } check_json_file(input_param, "npu_json", "bench_json", "stack_json") - self.assertEqual(_mock_check_json.call_args_list[0][0], ("npu_json", "npu_json_path")) - self.assertEqual(_mock_check_json.call_args_list[1][0], ("bench_json", "bench_json_path")) - self.assertEqual(_mock_check_json.call_args_list[2][0], ("stack_json", "stack_json_path")) + self.assertEqual(_mock_check_json.call_args_list[0][0], ("npu_json", "npu_path")) + self.assertEqual(_mock_check_json.call_args_list[1][0], ("bench_json", "bench_path")) + self.assertEqual(_mock_check_json.call_args_list[2][0], ("stack_json", "stack_path")) @patch.object(logger, "error") def test_check_file_size(self, mock_error): @@ -307,8 +307,8 @@ class TestUtils(TestCase): @patch.object(logger, "error") def test_task_dumppath_get(self, mock_error): input_param = { - "npu_json_path": None, - "bench_json_path": "bench_json_path" + "npu_path": None, + "bench_path": "bench_path" } npu_json = { "task": Const.TENSOR, @@ -321,7 +321,7 @@ class TestUtils(TestCase): self.assertEqual(context.exception.code, CompareException.INVALID_PATH_ERROR) mock_error.assert_called_with("Please check the json path is valid.") - input_param["npu_json_path"] = "npu_json_path" + input_param["npu_path"] = "npu_path" with patch("msprobe.core.common.utils.FileOpen", mock_open(read_data="")), \ patch("msprobe.core.common.utils.json.load", return_value=npu_json): summary_compare, md5_compare = task_dumppath_get(input_param) -- Gitee From 43af20b2b5da77688b7be6f59dd304b40bf26067 Mon Sep 17 00:00:00 2001 From: gitee Date: Fri, 2 Aug 2024 16:30:03 +0800 Subject: [PATCH 013/160] bug fix --- .../msprobe/core/data_dump/data_processor/pytorch_processor.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 007fec8096..dbe6f02107 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -168,7 +168,8 @@ class TensorDataProcessor(PytorchDataProcessor): def _analyze_tensor(self, tensor, suffix): dump_data_name, file_path = self.get_save_file_path(suffix) if not path_len_exceeds_limit(file_path): - torch.save(tensor, file_path) + saved_tensor = tensor.contiguous().detach().cpu() + torch.save(saved_tensor, file_path) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) else: logger.warning(f'The file path {file_path} length exceeds limit.') -- Gitee From e35cdd627a584a4e6bde7e5f2f31fcca9a98894b Mon Sep 17 00:00:00 2001 From: jiandaobao Date: Fri, 2 Aug 2024 17:15:24 +0800 Subject: [PATCH 014/160] Fix bug of inconsistent output for fix handler --- .../msprobe/pytorch/free_benchmark/main.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/main.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/main.py index 971776d132..69ece0a0c6 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/main.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/main.py @@ -10,7 +10,10 @@ from msprobe.pytorch.free_benchmark.common.enums import ( HandlerType, PerturbationMode, ) -from msprobe.pytorch.free_benchmark.common.params import data_pre_deal, make_handler_params +from msprobe.pytorch.free_benchmark.common.params import ( + data_pre_deal, + make_handler_params, +) from msprobe.pytorch.free_benchmark.compare.grad_saver import GradSaver from msprobe.pytorch.free_benchmark.perturbed_layers.layer_factory import LayerFactory from msprobe.pytorch.free_benchmark.result_handlers.handler_factory import ( @@ -70,9 +73,9 @@ class FreeBenchmarkCheck(ABC): layer.handle(data_params) handler_params = make_handler_params(name, self.config, self.current_iter) handler = FuzzHandlerFactory.create(handler_params) - handler.handle(data_params) - return data_params.perturbed_result, handler.get_unequal_rows() - + perturbed_output = handler.handle(data_params) + return perturbed_output, handler.get_unequal_rows() + def backward(self, name, module, grad_output): if not self.config.fuzz_stage == Const.BACKWARD: -- Gitee From a800c3cfdd4797964c1971dbc42b7dc51bdf568a Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Sat, 3 Aug 2024 10:53:00 +0800 Subject: [PATCH 015/160] review fix --- .../msprobe/core/common/file_check.py | 20 +++++++++- .../msprobe/pytorch/compare/acc_compare.py | 39 +++++++------------ 2 files changed, 34 insertions(+), 25 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/file_check.py b/debug/accuracy_tools/msprobe/core/common/file_check.py index 36896cfbc1..c567f94545 100644 --- a/debug/accuracy_tools/msprobe/core/common/file_check.py +++ b/debug/accuracy_tools/msprobe/core/common/file_check.py @@ -262,4 +262,22 @@ def change_mode(path, mode): def path_len_exceeds_limit(file_path): return len(os.path.realpath(file_path)) > FileCheckConst.DIRECTORY_LENGTH or \ - len(os.path.basename(file_path)) > FileCheckConst.FILE_NAME_LENGTH \ No newline at end of file + len(os.path.basename(file_path)) > FileCheckConst.FILE_NAME_LENGTH + + +def check_file_type(path): + """ + Function Description: + determine if it is a file or a directory + Parameter: + path: path + Exception Description: + when neither a file nor a directory throw exception + """ + if os.path.isdir(path): + return FileCheckConst.DIR + elif os.path.isfile(path): + return FileCheckConst.FILE + else: + logger.error('Neither a file nor a directory.') + raise FileCheckException(FileCheckException.INVALID_FILE_ERROR) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index c74f42daf5..0072d94328 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -36,7 +36,7 @@ from msprobe.pytorch.advisor.advisor import Advisor from msprobe.pytorch.common.log import logger from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ format_value, check_file_not_exists, check_configuration_param, task_dumppath_get -from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory +from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory, check_file_type from msprobe.core.common.const import Const, CompareConst, FileCheckConst from msprobe.core.common.exceptions import FileCheckException @@ -657,17 +657,20 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): def compare(args): with FileOpen(args.input_path, "r") as file: input_param = json.load(file) - try: - summary_compare, md5_compare = task_dumppath_get(input_param) - check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) - create_directory(args.output_path) - check_compare_param(input_param, args.output_path, summary_compare, md5_compare) - except (CompareException, FileCheckException) as error: - logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) - compare_core(input_param, args.output_path, stack_mode=args.stack_mode, - auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) + npu_path = input_param.get("npu_path", None) + bench_path = input_param.get("bench_path", None) + if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: + try: + summary_compare, md5_compare = task_dumppath_get(input_param) + check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) + create_directory(args.output_path) + check_compare_param(input_param, args.output_path, summary_compare, md5_compare) + except (CompareException, FileCheckException) as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) + compare_core(input_param, args.output_path, stack_mode=args.stack_mode, + auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) def compare_core(input_parma, output_path, **kwargs): @@ -1051,15 +1054,3 @@ def _compare_parser(parser): help=" Whether to give advisor.", required=False) parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", help=" Whether to perform a fuzzy match on the api name.", required=False) - - -def _compare(parser=None): - if not parser: - parser = argparse.ArgumentParser() - _compare_parser(parser) - args = parser.parse_args(sys.argv[1:]) - compare(args) - - -if __name__ == '__main__': - _compare() -- Gitee From dfff2102ba4ccf558334dd7903bda4a63fc959ef Mon Sep 17 00:00:00 2001 From: CSNIU Date: Sat, 3 Aug 2024 11:35:00 +0800 Subject: [PATCH 016/160] =?UTF-8?q?=E9=87=8D=E6=9E=84msprobe=E7=9A=84compa?= =?UTF-8?q?re=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/advisor/advisor.py | 124 ++++++ .../msprobe/core/advisor/advisor_const.py | 59 +++ .../msprobe/core/advisor/advisor_result.py | 58 +++ .../msprobe/core/common/utils.py | 2 +- .../msprobe/core/compare/acc_compare.py | 60 +++ .../msprobe/core/compare/check.py | 106 +++++ .../{pytorch => core}/compare/highlight.py | 0 .../{pytorch => core}/compare/mapping.yaml | 0 .../{pytorch => core}/compare/match.py | 0 .../{pytorch => core}/compare/npy_compare.py | 2 +- .../msprobe/core/compare/utils.py | 402 ++++++++++++++++++ .../msprobe/mindspore/compare/ms_compare.py | 201 +++++++++ 12 files changed, 1012 insertions(+), 2 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/core/advisor/advisor.py create mode 100644 debug/accuracy_tools/msprobe/core/advisor/advisor_const.py create mode 100644 debug/accuracy_tools/msprobe/core/advisor/advisor_result.py create mode 100644 debug/accuracy_tools/msprobe/core/compare/acc_compare.py create mode 100644 debug/accuracy_tools/msprobe/core/compare/check.py rename debug/accuracy_tools/msprobe/{pytorch => core}/compare/highlight.py (100%) rename debug/accuracy_tools/msprobe/{pytorch => core}/compare/mapping.yaml (100%) rename debug/accuracy_tools/msprobe/{pytorch => core}/compare/match.py (100%) rename debug/accuracy_tools/msprobe/{pytorch => core}/compare/npy_compare.py (99%) create mode 100644 debug/accuracy_tools/msprobe/core/compare/utils.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py diff --git a/debug/accuracy_tools/msprobe/core/advisor/advisor.py b/debug/accuracy_tools/msprobe/core/advisor/advisor.py new file mode 100644 index 0000000000..ec2773e6de --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/advisor/advisor.py @@ -0,0 +1,124 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" + +import os + +from msprobe.mindspore.advisor.advisor_result import AdvisorResult +from msprobe.mindspore.advisor.advisor_const import AdvisorConst +from msprobe.mindspore.common.log import logger +from msprobe.core.common.utils import CompareException +from msprobe.core.common.file_check import FileChecker +from msprobe.core.common.const import Const, CompareConst, FileCheckConst + +class Advisor: + """ + Class for generate advisor + """ + + def __init__(self, input_data, out_path=""): + self.input_data = input_data + self.out_path = os.path.realpath(out_path) + self.file_type = None + + @staticmethod + def deterministic_advisor(message, node_name): + for api_name in AdvisorConst.NEED_DETERMINISTIC_API: + if api_name in node_name: + return AdvisorConst.DETERMINISTIC_SUGGEST + return message + + @staticmethod + def batch_norm_advisor(message, node_name): + if AdvisorConst.FUNC_BATCH_NORM in node_name and AdvisorConst.FORWARD_INPUT_1 in node_name: + message = AdvisorConst.BATCH_NORM_SUGGEST + return message + + def analyze_unmatched(self, analyze_data): + if self.file_type == Const.ALL: + accuracy_unmatched = analyze_data[ + analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_UNMATCH] + else: + accuracy_unmatched = analyze_data[(analyze_data[CompareConst.NPU_SHAPE] == CompareConst.NAN) | + (analyze_data[CompareConst.BENCH_SHAPE] == CompareConst.NAN)] + num_unmatch = len(accuracy_unmatched) + if num_unmatch != 0: + for i in range(len(accuracy_unmatched)): + item = accuracy_unmatched.iloc[i] + logger.warning("The tensor name matches but the shape or dtype does not match: {}" + .format(item[CompareConst.NPU_NAME])) + + def gen_advisor_result(self, pd_data): + first_failing_data = pd_data.iloc[0] + node_name = first_failing_data[CompareConst.NPU_NAME] + index = first_failing_data['index'] + message = self.gen_advisor_message(node_name) + logger.warning("Find %s accuracy not reached, the line is %s" % (node_name, index)) + result = AdvisorResult(node_name, index, message) + return result + + def gen_advisor_message(self, node_name): + if AdvisorConst.FORWARD in node_name: + if AdvisorConst.INPUT in node_name: + message = AdvisorConst.FORWARD_INPUT_SUGGEST + else: + message = AdvisorConst.FORWARD_OUTPUT_SUGGEST + message = self.deterministic_advisor(message, node_name) + else: + if AdvisorConst.INPUT in node_name: + message = AdvisorConst.BACKWARD_INPUT_SUGGEST + else: + message = AdvisorConst.BACKWARD_OUTPUT_SUGGEST + message = self.deterministic_advisor(message, node_name) + message = self.batch_norm_advisor(message, node_name) + return message + + def analysis(self): + self._check_path_vaild() + analyze_data = self._parse_input_data() + logger.info("Start analyzing the comparison result: %s" % self.file_type) + self.analyze_unmatched(analyze_data) + if self.file_type == Const.ALL: + failing_data = analyze_data[analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_NO] + elif self.file_type == Const.MD5: + failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.DIFF] + elif self.file_type == Const.SUMMARY: + failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.WARNING] + if failing_data.empty: + logger.info("All data from api input/output accuracy reached") + result = AdvisorResult(AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERR_SUGGEST) + else: + result = self.gen_advisor_result(failing_data) + message_list = result.print_advisor_log() + result.gen_summary_file(self.out_path, message_list) + + def _parse_input_data(self): + data_columns = self.input_data.columns.values + if {CompareConst.ACCURACY, CompareConst.NPU_NAME}.issubset(data_columns): + self.file_type = Const.ALL + elif {CompareConst.RESULT, CompareConst.NPU_MD5}.issubset(data_columns): + self.file_type = Const.MD5 + elif {CompareConst.MAX_DIFF, CompareConst.RESULT}.issubset(data_columns): + self.file_type = Const.SUMMARY + else: + logger.error('Compare result does not meet the required conditions.') + raise CompareException(CompareException.INVALID_DATA_ERROR) + df = self.input_data.reset_index() + return df + + def _check_path_vaild(self): + out_path_checker = FileChecker(self.out_path, FileCheckConst.DIR, FileCheckConst.WRITE_ABLE) + out_path_checker.common_check() diff --git a/debug/accuracy_tools/msprobe/core/advisor/advisor_const.py b/debug/accuracy_tools/msprobe/core/advisor/advisor_const.py new file mode 100644 index 0000000000..737c675911 --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/advisor/advisor_const.py @@ -0,0 +1,59 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" + + +class AdvisorConst: + """ + Class for advisor const + """ + + # text symbol + NEW_LINE = "\n" + COLON = ": " + + # advisor summary key + SUSPECT_NODES = "Suspect Nodes" + LINE = "Line" + ADVISOR_SUGGEST = "Expert Advice" + + NO_ERROR_API = "NA" + + # advisor message + NO_ERR_SUGGEST = "All data in comparison result meets the accuracy requirements." + FORWARD_INPUT_SUGGEST = "1. Analyze the model to view the input source.\n" \ + "2. Check whether an inplace API causes the output result to overwrite the input result. That is, the fault is actually caused by a computation error.\n" \ + "3. The fault may be caused by memory corruption and further analysis is required." + FORWARD_OUTPUT_SUGGEST = "This is a forward API computation error. Check the computation implementation." + BACKWARD_INPUT_SUGGEST = "Check whether the forward computation result is affected." + BACKWARD_OUTPUT_SUGGEST = "This is a backward API computation error. Check the computation implementation." + BATCH_NORM_SUGGEST = "Torch API batch_norm input not fixed, the following suggestions may fix it:\n" \ + "1. If use torch.nn.functional.batch_norm, you can set parameter training=False.\n" \ + "2. If use torch.nn.BatchNormXXX, you can set parameter affine=False.\n" \ + "3. Use seed_all(mode=True) to enable deterministic computing." + DETERMINISTIC_SUGGEST = "This torch api may be uncertainty in the calculation, " \ + "can seed_all(mode=True) to enable deterministic computing." + + FUNC_BATCH_NORM = "Functional_batch_norm" + FORWARD_INPUT_1 = "forward_input.1" + NEED_DETERMINISTIC_API = ["conv2d", "conv3d", "matmul", "nll_loss", "layer_norm", "lstm"] + BATCH_NORM = "batch_norm" + + # name keyword + INPUT = "input" + OUTPUT = "output" + FORWARD = "forward" + BACKWARD = "backward" diff --git a/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py new file mode 100644 index 0000000000..5d59068fc4 --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py @@ -0,0 +1,58 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import os +import time + +from msprobe.mindspore.advisor.advisor_const import AdvisorConst +from msprobe.mindspore.common.log import logger +from msprobe.core.common.const import Const, FileCheckConst +from msprobe.core.common.file_check import change_mode + + +class AdvisorResult: + """ + Class for generate advisor result + """ + + def __init__(self, node, line, message): + self.suspect_node = node + self.line = line + self.advisor_message = message + + @staticmethod + def gen_summary_file(out_path, message_list): + file_name = 'advisor_{}.txt'.format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))) + result_file = os.path.join(out_path, file_name) + try: + with os.fdopen(os.open(result_file, Const.WRITE_FLAGS, Const.WRITE_MODES), 'w+') as output_file: + output_file.truncate(0) + message_list = [message + AdvisorConst.NEW_LINE for message in message_list] + output_file.writelines(message_list) + change_mode(result_file, FileCheckConst.DATA_FILE_AUTHORITY) + except IOError as io_error: + logger.error("Failed to save %s, the reason is %s." % (result_file, io_error)) + else: + logger.info("The advisor summary is saved in: %s" % result_file) + + def print_advisor_log(self): + logger.info("The summary of the expert advice is as follows: ") + message_list = [AdvisorConst.LINE + AdvisorConst.COLON + str(self.line), + AdvisorConst.SUSPECT_NODES + AdvisorConst.COLON + self.suspect_node, + AdvisorConst.ADVISOR_SUGGEST + AdvisorConst.COLON + self.advisor_message] + for message in message_list: + logger.info(message) + return message_list diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index 37a7733e12..85003afad4 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -513,4 +513,4 @@ def get_header_index(header_name, summary_compare=False): def convert_tuple(data): - return data if isinstance(data, tuple) else (data, ) + return data if isinstance(data, tuple) else (data, ) \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py new file mode 100644 index 0000000000..88a919555a --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -0,0 +1,60 @@ +from msprobe.core.compare.check import check_op +from msprobe.mindspore.compare.ms_compare import MSComparator +from msprobe.core.common.const import Const, CompareConst +from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ + get_error_message +from msprobe.core.common.exceptions import FileCheckException + + +class Comparator: + def __init__(self): + pass + + def match_op(self,npu_queue, bench_queue, fuzzy_match): + for b_index, b_op in enumerate(bench_queue[0: -1]): + if check_op(npu_queue[-1], b_op, fuzzy_match): + return len(npu_queue) - 1, b_index + if check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): + return len(npu_queue) - 1, len(bench_queue) - 1 + for n_index, n_op in enumerate(npu_queue[0: -1]): + if check_op(n_op, bench_queue[-1], fuzzy_match): + return n_index, len(bench_queue) - 1 + return -1, -1 + + def compare_by_op(op_name, op_name_mapping_dict, input_parma): + npu_bench_name_list = op_name_mapping_dict[op_name] + data_name = npu_bench_name_list[1] + error_file, relative_err, error_flag = None, None, False + if data_name == '-1' or data_name == -1: # 没有真实数据路径 + n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE + error_flag = True + else: + try: + msComparator= MSComparator() + n_value = msComparator.read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) + b_value = msComparator.read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) + except IOError as error: + error_file = error.filename + n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE + error_flag = True + except FileCheckException: + error_file = data_name + n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE + error_flag = True + + n_value, b_value, error_flag = get_error_type(n_value, b_value, error_flag) + if not error_flag: + relative_err = get_relative_err(n_value, b_value) + n_value, b_value = reshape_value(n_value, b_value) + + err_msg = get_error_message(n_value, b_value, op_name, error_flag, error_file=error_file) + result_list, err_msg = compare_ops_apply(n_value, b_value, error_flag, err_msg, relative_err=relative_err) + + if npu_bench_name_list[0] != npu_bench_name_list[1]: + err_msg += " Fuzzy matching data, the comparison accuracy may be affected." + result_list.append(err_msg) + return result_list + + +testComparator= Comparator() + diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py new file mode 100644 index 0000000000..aab8cb50ec --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -0,0 +1,106 @@ +from msprobe.core.compare.match import graph_mapping +from msprobe.core.common.log import logger +from msprobe.core.common.const import Const, CompareConst, FileCheckConst +from msprobe.core.compare.utils import rename_api + + + +def check_struct_match(npu_dict, bench_dict): + npu_struct_in = npu_dict.get("input_struct") + bench_struct_in = bench_dict.get("input_struct") + npu_struct_out = npu_dict.get("output_struct") + bench_struct_out = bench_dict.get("output_struct") + is_match = npu_struct_in == bench_struct_in and npu_struct_out == bench_struct_out + if not is_match: + if len(npu_struct_in) == 0 or len(bench_struct_in) == 0 or len(npu_struct_in) != len(bench_struct_in): + return False + struct_in_is_match = check_type_shape_match(npu_struct_in, bench_struct_in) + struct_out_is_match = check_type_shape_match(npu_struct_out, bench_struct_out) + is_match = struct_in_is_match and struct_out_is_match + return is_match + +def check_type_shape_match(npu_struct, bench_struct): + shape_type_match = False + for npu_type_shape, bench_type_shape in zip(npu_struct, bench_struct): + npu_type = npu_type_shape[0] + npu_shape = npu_type_shape[1] + bench_type = bench_type_shape[0] + bench_shape = bench_type_shape[1] + shape_match = npu_shape == bench_shape + type_match = npu_type == bench_type + if not type_match: + if ([npu_type, bench_type] in [["Float16", "Float32"], ["Float32", "Float16"]] )or ([npu_type, bench_type] in [["torch.float16", "torch.float32"], ["torch.float32", "torch.float16"], + ["torch.float16", "torch.bfloat16"], ["torch.bfloat16", "torch.float16"]]): + type_match = True + else: + type_match = False + shape_type_match = shape_match and type_match + if not shape_type_match: + return False + return shape_type_match + +def check_graph_mode(a_op_name, b_op_name): + if "Aten" in a_op_name and "Aten" not in b_op_name: + return True + if "Aten" not in a_op_name and "Aten" in b_op_name: + return True + return False + + +def check_op(npu_dict, bench_dict, fuzzy_match): + a_op_name = npu_dict["op_name"] + b_op_name = bench_dict["op_name"] + graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) + if graph_mode: + return graph_mapping.match(a_op_name[0], b_op_name[0]) + struct_match = check_struct_match(npu_dict, bench_dict) + if not fuzzy_match: + return a_op_name == b_op_name and struct_match + is_match = True + try: + is_match = fuzzy_check_op(a_op_name, b_op_name) + except Exception as err: + logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) + is_match = False + return is_match and struct_match + + + +def fuzzy_check_op(npu_name_list, bench_name_list): + if len(npu_name_list) == 0 or len(bench_name_list) == 0 or len(npu_name_list) != len(bench_name_list): + return False + is_match = True + for npu_name, bench_name in zip(npu_name_list, bench_name_list): + is_match = fuzzy_check_name(npu_name, bench_name) + if not is_match: + break + return is_match + +def fuzzy_check_name(npu_name, bench_name): + if "forward" in npu_name and "forward" in bench_name: + is_match = rename_api(npu_name, "forward") == rename_api(bench_name, "forward") + elif "backward" in npu_name and "backward" in bench_name: + is_match = rename_api(npu_name, "backward") == rename_api(bench_name, "backward") + else: + is_match = npu_name == bench_name + return is_match + + + +def check_accuracy(cos, max_abs_err): + if cos == CompareConst.SHAPE_UNMATCH: + return CompareConst.ACCURACY_CHECK_UNMATCH + if cos == CompareConst.NONE or max_abs_err == CompareConst.NONE: + return CompareConst.NONE + if cos == "N/A" or max_abs_err == "N/A": + return CompareConst.ACCURACY_CHECK_NO + try: + cos, max_abs_err = float(cos), float(max_abs_err) + except ValueError: + logger.warning("Cosine or MaxAbsErr can not get float value.") + return CompareConst.NONE + if cos < CompareConst.COS_THRESHOLD and max_abs_err > CompareConst.MAX_ABS_ERR_THRESHOLD: + return CompareConst.ACCURACY_CHECK_NO + if cos < CompareConst.COS_MAX_THRESHOLD or max_abs_err > CompareConst.MAX_ABS_ERR_MAX_THRESHOLD: + return CompareConst.ACCURACY_CHECK_NO + return CompareConst.ACCURACY_CHECK_YES \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/highlight.py b/debug/accuracy_tools/msprobe/core/compare/highlight.py similarity index 100% rename from debug/accuracy_tools/msprobe/pytorch/compare/highlight.py rename to debug/accuracy_tools/msprobe/core/compare/highlight.py diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml b/debug/accuracy_tools/msprobe/core/compare/mapping.yaml similarity index 100% rename from debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml rename to debug/accuracy_tools/msprobe/core/compare/mapping.yaml diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/match.py b/debug/accuracy_tools/msprobe/core/compare/match.py similarity index 100% rename from debug/accuracy_tools/msprobe/pytorch/compare/match.py rename to debug/accuracy_tools/msprobe/core/compare/match.py diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/npy_compare.py b/debug/accuracy_tools/msprobe/core/compare/npy_compare.py similarity index 99% rename from debug/accuracy_tools/msprobe/pytorch/compare/npy_compare.py rename to debug/accuracy_tools/msprobe/core/compare/npy_compare.py index 5a0feb4cd4..0c75076c5b 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/npy_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/npy_compare.py @@ -2,7 +2,7 @@ import abc import numpy as np from msprobe.core.common.utils import format_value from msprobe.core.common.const import Const, CompareConst -from msprobe.pytorch.common.log import logger +from msprobe.core.common.log import logger def handle_inf_nan(n_value, b_value): diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py new file mode 100644 index 0000000000..0ed0b4ebd8 --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -0,0 +1,402 @@ + +import numpy as np +from msprobe.core.common.log import logger +from msprobe.core.common.const import Const, CompareConst +from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ + format_value, check_file_not_exists, check_configuration_param, task_dumppath_get +from msprobe.core.compare.check import check_accuracy + + +def rename_api(npu_name, process): + npu_split = npu_name.split(process) + torch_func_index, in_out = npu_split[0], npu_split[1] + torch_func_split = torch_func_index.rsplit(Const.SEP, 2) + torch_func = str(torch_func_split[0]) + str(in_out) + return torch_func + +def read_op(op_data, op_name): + op_parsed_list = [] + if 'forward' in op_name: + if 'input_args' in op_data: + input_item = op_data['input_args'] + input_parsed_list = op_item_parse(input_item, op_name + '_input', None) + op_parsed_list = input_parsed_list.copy() + input_parsed_list.clear() + if 'input_kwargs' in op_data: + kwargs_item = op_data['input_kwargs'] + if isinstance(kwargs_item, dict) and "type" in kwargs_item or isinstance(kwargs_item, list): + kwarg_parsed_list = op_item_parse(kwargs_item, op_name + '_input', None) + op_parsed_list += kwarg_parsed_list + kwarg_parsed_list.clear() + elif kwargs_item: + for kwarg in kwargs_item: + kwarg_parsed_list = op_item_parse(kwargs_item[kwarg], op_name + '_input.' + kwarg, None) + op_parsed_list += kwarg_parsed_list + kwarg_parsed_list.clear() + if 'output' in op_data: + output_item = op_data['output'] + output_parsed_list = op_item_parse(output_item, op_name + '_output', None) + op_parsed_list += output_parsed_list + output_parsed_list.clear() + if 'backward' in op_name: + if 'grad_input' in op_data: + input_item = op_data['grad_input'] + input_parsed_list = op_item_parse(input_item, op_name + '_input', None) + op_parsed_list = input_parsed_list.copy() + input_parsed_list.clear() + if 'grad_output' in op_data: + output_item = op_data['grad_output'] + output_parsed_list = op_item_parse(output_item, op_name + '_output', None) + op_parsed_list += output_parsed_list + output_parsed_list.clear() + return op_parsed_list + +def op_item_parse(item, op_name, index, item_list=None, top_bool=True): + if item_list is None: + item_list = [] + if item is None or (isinstance(item, dict) and not item): + if not top_bool: + tmp = {'full_op_name': op_name + '.' + str(index), 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, + 'dtype': None, 'shape': None, 'md5': None, 'data_name': '-1'} + else: + tmp = {'full_op_name': op_name + '.0', 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, 'dtype': None, + 'shape': None, 'md5': None, 'data_name': '-1'} + item_list.append(tmp) + return item_list + if index is None: + if isinstance(item, dict): + full_op_name = op_name + '.0' + else: + full_op_name = op_name + else: + full_op_name = op_name + Const.SEP + str(index) + if isinstance(item, dict): + if 'type' not in item: + for kwarg in item: + kwarg_parsed_list = op_item_parse(item[kwarg], op_name + Const.SEP + kwarg, None) + item_list += kwarg_parsed_list + kwarg_parsed_list.clear() + elif 'dtype' in item: + parsed_item = item + parsed_item['full_op_name'] = full_op_name + item_list.append(parsed_item) + elif 'type' in item: + parsed_item = {} + if item['type'] == 'torch.Size': + parsed_item['full_op_name'] = full_op_name + parsed_item['dtype'] = 'torch.Size' + parsed_item['shape'] = str(item['value']) + parsed_item['md5'] = None + parsed_item['Max'] = None + parsed_item['Min'] = None + parsed_item['Mean'] = None + parsed_item['Norm'] = None + parsed_item['data_name'] = '-1' + item_list.append(parsed_item) + elif item['type'] == 'slice': + parsed_item['full_op_name'] = full_op_name + parsed_item['dtype'] = 'slice' + parsed_item['shape'] = str(np.shape(np.array(item['value']))) + parsed_item['md5'] = None + parsed_item['Max'] = None + parsed_item['Min'] = None + parsed_item['Mean'] = None + parsed_item['Norm'] = None + parsed_item['data_name'] = '-1' + item_list.append(parsed_item) + else: + parsed_item['full_op_name'] = full_op_name + parsed_item['dtype'] = str(type(item['value'])) + parsed_item['shape'] = '[]' + parsed_item['md5'] = None + parsed_item['Max'] = item['value'] + parsed_item['Min'] = item['value'] + parsed_item['Mean'] = item['value'] + parsed_item['Norm'] = item['value'] + parsed_item['data_name'] = '-1' + item_list.append(parsed_item) + else: + resolve_api_special_parameters(item, full_op_name, item_list) + else: + for j, item_spec in enumerate(item): + op_item_parse(item_spec, full_op_name, j, item_list=item_list, top_bool=False) + return item_list + +def resolve_api_special_parameters(data_dict, full_op_name, item_list): + """ + Function Description: + 解析下面格式的数据, 是api参数的一种特殊格式 + { + "last_hidden_state": { + "type": "torch.Tensor", + "dtype": "torch.bfloat16", + ... + }, + "loss": { + "type": "torch.Tensor", + "dtype": "torch.float32", + ... + } + } + Parameter: + data_dict: 字典格式的数据 + full_op_name: 参数的全名字符串 + item_list: 参数信息集合 + """ + for key, value in data_dict.items(): + if isinstance(value, dict): + parsed_item = value + parts = full_op_name.split(".") + parts.insert(-1, key) + full_op_name_new = ".".join(parts) + parsed_item['full_op_name'] = full_op_name_new + item_list.append(parsed_item) + +@dataclass +class ComparisonResult: + cos_result: list + max_err_result: list + max_relative_err_result: list + err_msgs: list + one_thousand_err_ratio_result: list + five_thousand_err_ratio_result: list + + +def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=False): + def get_accuracy_core(n_start, n_len, b_start, b_len, key): + min_len = min(n_len, b_len) + npu_stack_info = n_dict.get("stack_info", None) + bench_stack_info = b_dict.get("stack_info", None) + has_stack = npu_stack_info and bench_stack_info + + all_mode_bool = not (summary_compare or md5_compare) + if all_mode_bool: + npu_data_name = n_dict.get("data_name", None) + bench_data_name = b_dict.get("data_name", None) + + for index in range(min_len): + + n_name = n_dict['op_name'][n_start + index] + b_name = b_dict['op_name'][b_start + index] + n_struct = n_dict[key][index] + b_struct = b_dict[key][index] + err_msg = "" + if md5_compare: + result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], + n_struct[2], b_struct[2], + CompareConst.PASS if n_struct[2] == b_struct[2] else CompareConst.DIFF] + if has_stack and index == 0 and key == "input_struct": + result_item.extend(npu_stack_info) + else: + result_item.append(CompareConst.NONE) + result.append(result_item) + continue + + if summary_compare: + result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], + " ", " ", " ", " ", " ", " ", " ", " "] + else: + result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], + " ", " ", " ", " ", " "] + + npu_summary_data = n_dict.get("summary")[n_start + index] + result_item.extend(npu_summary_data) + bench_summary_data = b_dict.get("summary")[b_start + index] + result_item.extend(bench_summary_data) + + if summary_compare: + start_idx = CompareConst.SUMMARY_COMPARE_RESULT_HEADER.index(CompareConst.MAX_DIFF) + warning_flag = False + for i, (npu_val, bench_val) in enumerate(zip(npu_summary_data, bench_summary_data)): + if isinstance(npu_val, (float, int)) and isinstance(bench_val, (float, int)): + diff = npu_val - bench_val + if bench_val != 0: + relative = str(abs((diff / bench_val) * 100)) + '%' + else: + relative = "N/A" + result_item[start_idx + i] = diff + result_item[start_idx + i + 4] = relative + magnitude_diff = abs(diff) / (max(abs(npu_val), abs(bench_val)) + 1e-10) + if magnitude_diff > 0.5: + warning_flag = True + else: + result_item[start_idx + i] = CompareConst.NONE + accuracy_check = CompareConst.WARNING if warning_flag else "" + err_msg += "Need double check api accuracy." if warning_flag else "" + for i in range(start_idx, len(result_item)): + if str(result_item[i]) in ('inf', '-inf', 'nan'): + result_item[i] = f'{result_item[i]}\t' + + result_item.append(accuracy_check if summary_compare else CompareConst.ACCURACY_CHECK_YES) + result_item.append(err_msg) + if has_stack and index == 0 and key == "input_struct": + result_item.extend(npu_stack_info) + else: + result_item.append(CompareConst.NONE) + if all_mode_bool: + result_item.append(npu_data_name[n_start + index]) + + result.append(result_item) + + if n_len > b_len: + for index in range(b_len, n_len): + n_name = n_dict['op_name'][n_start + index] + n_struct = n_dict[key][index] + if md5_compare: + result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, + n_struct[1], CompareConst.NAN, n_struct[2], CompareConst.NAN, CompareConst.NAN] + result.append(result_item) + continue + result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, + n_struct[1], CompareConst.NAN, " ", " ", " ", " ", " "] + summary_data = n_dict.get("summary")[n_start + index] + result_item.extend(summary_data) + summary_data = [CompareConst.NAN for _ in range(len(n_dict.get("summary")[0]))] + result_item.extend(summary_data) + + err_msg = "" + result_item.append(CompareConst.ACCURACY_CHECK_YES) + result_item.append(err_msg) + + if has_stack and index == 0 and key == "input_struct": + result_item.extend(npu_stack_info) + else: + result_item.append(CompareConst.NONE) + if all_mode_bool: + result_item.append(npu_data_name[n_start + index]) + + result.append(result_item) + + n_num = len(n_dict['op_name']) + b_num = len(b_dict['op_name']) + n_num_input = len([name for name in n_dict['op_name'] if 'input' in name]) + b_num_input = len([name for name in b_dict['op_name'] if 'input' in name]) + n_num_kwarg = len([name for name in n_dict['op_name'] if 'kwarg' in name]) + b_num_kwarg = len([name for name in b_dict['op_name'] if 'kwarg' in name]) + n_num_output = n_num - n_num_input - n_num_kwarg + b_num_output = b_num - b_num_input - b_num_kwarg + get_accuracy_core(0, n_num_input, 0, b_num_input, 'input_struct') + get_accuracy_core(n_num_input, n_num_kwarg, b_num_input, b_num_kwarg, "kwargs_struct") + get_accuracy_core(n_num_input + n_num_kwarg, n_num_output, b_num_input + b_num_kwarg, b_num_output, 'output_struct') + +def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): + index_out = 0 + npu_stack_info = n_dict.get("stack_info", None) + bench_name, bench_type, bench_shape = CompareConst.NAN, CompareConst.NAN, CompareConst.NAN + err_msg = CompareConst.NO_BENCH + accuracy_check_res = CompareConst.NAN + for index, n_name in enumerate(n_dict["op_name"]): + if n_name.find("input") != -1: + n_struct = n_dict["input_struct"][index] + else: + n_struct = n_dict["output_struct"][index_out] + index_out += 1 + + result_item = [n_name, bench_name, n_struct[0], bench_type, n_struct[1], bench_shape] + if md5_compare: + result_item.extend([CompareConst.NAN] * 3) + if npu_stack_info and index == 0: + result_item.extend(npu_stack_info) + result.append(result_item) + continue + if summary_compare: + result_item.extend([CompareConst.NAN] * 8) + else: + result_item.extend([CompareConst.NAN] * 5) + summary_data = n_dict.get("summary")[index] + result_item.extend(summary_data) + summary_data = [CompareConst.NAN] * 4 + result_item.extend(summary_data) + result_item.append(accuracy_check_res) + result_item.append(err_msg) + if npu_stack_info and index == 0: + result_item.extend(npu_stack_info) + if not md5_compare and not summary_compare and result_item[1] == CompareConst.NAN: + if index == 0: + result_item.extend(["-1"]) + else: + result_item.extend([CompareConst.NONE, "-1"]) + result.append(result_item) + + +def merge_tensor(tensor_list, summary_compare, md5_compare): + op_dict = {} + op_dict["op_name"] = [] + op_dict["input_struct"] = [] + op_dict["kwargs_struct"] = [] + op_dict["output_struct"] = [] + op_dict["summary"] = [] + op_dict["stack_info"] = [] + + all_mode_bool = not (summary_compare or md5_compare) + if all_mode_bool: + op_dict["data_name"] = [] + + for tensor in tensor_list: + if len(tensor) == 2: + op_dict['stack_info'].append(tensor['full_info']) + break + op_dict["op_name"].append(tensor['full_op_name']) + if not md5_compare: + if tensor['full_op_name'].find("input") != -1: + op_dict["input_struct"].append((tensor['dtype'], tensor['shape'])) + elif tensor['full_op_name'].find("kwarg") != -1: + op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'])) + elif tensor['full_op_name'].find("output") != -1: + op_dict["output_struct"].append((tensor['dtype'], tensor['shape'])) + else: + if tensor['full_op_name'].find("input") != -1: + op_dict["input_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) + elif tensor['full_op_name'].find("kwarg") != -1: + op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) + elif tensor['full_op_name'].find("output") != -1: + op_dict["output_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) + + op_dict["summary"].append([tensor['Max'], tensor['Min'], tensor['Mean'], tensor['Norm']]) + + if all_mode_bool: + op_dict["data_name"].append(tensor['data_name']) + + if not op_dict["kwargs_struct"]: + del op_dict["kwargs_struct"] + return op_dict if op_dict["op_name"] else {} + + + +def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): + """ + Save comparison results into the result DataFrame with thread safety. + Args: + offset: offset for index + result: data struct of ComparisonResult + result_df: result of DataFrame + lock: thread lock + + Returns: + comparison results in DataFrame + """ + + lock.acquire() + try: + for i, _ in enumerate(result.cos_result): + process_index = i + offset + result_df.loc[process_index, CompareConst.COSINE] = result.cos_result[i] + result_df.loc[process_index, CompareConst.MAX_ABS_ERR] = result.max_err_result[i] + result_df.loc[process_index, CompareConst.MAX_RELATIVE_ERR] = result.max_relative_err_result[i] + result_df.loc[process_index, CompareConst.ERROR_MESSAGE] = result.err_msgs[i] + result_df.loc[process_index, CompareConst.ACCURACY] = check_accuracy(result.cos_result[i], result.max_err_result[i]) + result_df.loc[process_index, CompareConst.ONE_THOUSANDTH_ERR_RATIO] = result.one_thousand_err_ratio_result[i] + result_df.loc[process_index, CompareConst.FIVE_THOUSANDTHS_ERR_RATIO] = result.five_thousand_err_ratio_result[i] + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + except IndexError as e: + logger.error('result dataframe elements can not be access.') + raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e + finally: + lock.release() + + + + diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py new file mode 100644 index 0000000000..0908c44c0c --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -0,0 +1,201 @@ +from msprobe.core.compare.acc_compare import Comparator +from msprobe.core.common.log import logger + + + + + + +import json +import multiprocessing +import os.path +import sys + +import numpy as np +import pandas as pd +import openpyxl +from openpyxl.styles import PatternFill +from collections import namedtuple +from dataclasses import dataclass + +from msprobe.mindspore.compare.match import graph_mapping +from msprobe.mindspore.compare.highlight import HighlightRules, get_header_index + +from msprobe.mindspore.advisor.advisor import Advisor +from msprobe.mindspore.common.log import logger +from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ + format_value, check_file_not_exists, check_configuration_param, task_dumppath_get +from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory +from msprobe.core.common.const import Const, CompareConst, FileCheckConst +from msprobe.core.common.exceptions import FileCheckException +from msprobe.core.compare.utils import ComparisonResult,_save_cmp_result,merge_tensor, get_un_match_accuracy,get_accuracy,read_op + + +class MSComparator (Comparator): + def __init__(self): + super().__init__() + + + def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): + cos_result = [] + max_err_result = [] + max_relative_err_result = [] + err_mess = [] + one_thousand_err_ratio_result = [] + five_thousand_err_ratio_result = [] + is_print_compare_log = input_parma.get("is_print_compare_log") + for i in range(len(result_df)): + op_name = result_df.iloc[i, 0] + if is_print_compare_log: + logger.info("start compare: {}".format(op_name)) + cos_sim, max_abs_err, max_relative_err, one_thousand_err_ratio, five_thousand_err_ratio, err_msg = self.compare_by_op( + op_name, dump_path_dict, input_parma) + if is_print_compare_log: + logger.info( + "[{}] Compare result: cosine {}, max_abs_err {}, max_relative_err {}, {}, one_thousand_err_ratio {}, " + "five_thousand_err_ratio {}".format(op_name, cos_sim, max_abs_err, max_relative_err, err_msg, + one_thousand_err_ratio, five_thousand_err_ratio)) + cos_result.append(cos_sim) + max_err_result.append(max_abs_err) + max_relative_err_result.append(max_relative_err) + err_mess.append(err_msg) + one_thousand_err_ratio_result.append(one_thousand_err_ratio) + five_thousand_err_ratio_result.append(five_thousand_err_ratio) + + cr = ComparisonResult( + cos_result=cos_result, + max_err_result=max_err_result, + max_relative_err_result=max_relative_err_result, + err_msgs=err_mess, + one_thousand_err_ratio_result=one_thousand_err_ratio_result, + five_thousand_err_ratio_result=five_thousand_err_ratio_result + ) + + return _save_cmp_result(idx, cr, result_df, lock) + + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): + npu_json_handle, bench_json_handle, stack_json_handle = file_handles + npu_json_data = json.load(npu_json_handle) + bench_json_data = json.load(bench_json_handle) + stack_json_data = json.load(stack_json_handle) + + if fuzzy_match: + logger.warning("This task uses fuzzy matching, which may affect the accuracy of the comparison.") + + npu_ops_queue = [] + bench_ops_queue = [] + result = [] + + ops_npu_iter = iter(npu_json_data['data']) + ops_bench_iter = iter(bench_json_data['data']) + read_err_npu = True + read_err_bench = True + last_npu_ops_len = 0 + last_bench_ops_len = 0 + + while True: + if not read_err_npu and not read_err_bench: + break + try: + last_npu_ops_len = len(npu_ops_queue) + op_name_npu = next(ops_npu_iter) + read_err_npu = True + + npu_op_data = npu_json_data['data'][op_name_npu] + npu_op_parsed_list = read_op(npu_op_data, op_name_npu) + if op_name_npu in stack_json_data: + npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) + else: + npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) + + npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) + if npu_merge_list: + npu_ops_queue.append(npu_merge_list) + except StopIteration: + read_err_npu = False + try: + last_bench_ops_len = len(bench_ops_queue) + op_name_bench = next(ops_bench_iter) + + bench_op_data = bench_json_data['data'][op_name_bench] + bench_op_parsed_list = read_op(bench_op_data, op_name_bench) + if op_name_bench in stack_json_data: + bench_op_parsed_list.append( + {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) + else: + bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) + + bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) + if bench_merge_list: + bench_ops_queue.append(bench_merge_list) + except StopIteration: + read_err_bench = False + + # merge all boolean expressions + both_empty = not npu_ops_queue and not bench_ops_queue + no_change = (len(npu_ops_queue) == last_npu_ops_len) and (len(bench_ops_queue) == last_bench_ops_len) + if both_empty or no_change: + continue + + n_match_point, b_match_point = super().match_op(npu_ops_queue, bench_ops_queue, fuzzy_match) + if n_match_point == -1 and b_match_point == -1: + continue + n_match_data = npu_ops_queue[n_match_point] + b_match_data = bench_ops_queue[b_match_point] + un_match_data = npu_ops_queue[0: n_match_point] + for npu_data in un_match_data: + get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) + get_accuracy(result, n_match_data, b_match_data, summary_compare, md5_compare) + del npu_ops_queue[0: n_match_point + 1] + del bench_ops_queue[0: b_match_point + 1] + if npu_ops_queue: + for npu_data in npu_ops_queue: + get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) + + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] + + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + + result_df = pd.DataFrame(result, columns=header) + return result_df + + + def read_npy_data(self,dir_path, file_name): + data_path = os.path.join(dir_path, file_name) + path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, + FileCheckConst.NUMPY_SUFFIX, False) + data_path = path_checker.common_check() + data_value = np.load(data_path) # detach for less memory + if data_value.dtype == np.float16: + data_value=data_value.astype(np.float32) + + return data_value + + + + + + + + + \ No newline at end of file -- Gitee From 9953ba871d58076a0cb10afdb4d4b463004eb0b1 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Sat, 3 Aug 2024 15:49:49 +0800 Subject: [PATCH 017/160] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E5=AF=B9=E5=A4=96?= =?UTF-8?q?=E6=8E=A5=E5=8F=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../core/compare/Multiprocessing_compute.py | 55 ++++++++ .../msprobe/core/compare/acc_compare.py | 2 +- .../msprobe/core/compare/highlight.py | 129 ++++++++++++++++++ .../msprobe/mindspore/compare/ms_compare.py | 91 +++++++++++- 4 files changed, 273 insertions(+), 4 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py diff --git a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py new file mode 100644 index 0000000000..e0c52aa6f6 --- /dev/null +++ b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py @@ -0,0 +1,55 @@ + +import multiprocessing +import pandas as pd +from msprobe.core.common.log import logger +from msprobe.core.common.utils import CompareException + + + +def _handle_multi_process(func, input_parma, result_df, lock): + process_num = int((multiprocessing.cpu_count() + 1) / 2) + op_name_mapping_dict = read_dump_data(result_df) + + df_chunk_size = len(result_df) // process_num + if df_chunk_size > 0: + df_chunks = [result_df.iloc[i:i + df_chunk_size] for i in range(0, len(result_df), df_chunk_size)] + else: + df_chunks = [result_df] + + results = [] + pool = multiprocessing.Pool(process_num) + + def err_call(args): + logger.error('multiprocess compare failed! Reason: {}'.format(args)) + try: + pool.terminate() + except OSError as e: + logger.error("pool terminate failed") + + for process_idx, df_chunk in enumerate(df_chunks): + idx = df_chunk_size * process_idx + result = pool.apply_async(func, + args=(idx, op_name_mapping_dict, df_chunk, lock, input_parma), + error_callback=err_call) + results.append(result) + final_results = [r.get() for r in results] + pool.close() + pool.join() + return pd.concat(final_results, ignore_index=True) + +def read_dump_data(result_df): + try: + npu_dump_name_list = result_df.iloc[0:, 0].tolist() + npu_dump_tensor_list = result_df.iloc[0:, -1].tolist() + op_name_mapping_dict = {} + for index, _ in enumerate(npu_dump_name_list): + npu_dump_name = npu_dump_name_list[index] + npu_dump_tensor = npu_dump_tensor_list[index] + op_name_mapping_dict[npu_dump_name] = [npu_dump_tensor, npu_dump_tensor] + return op_name_mapping_dict + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + except IndexError as e: + logger.error('result dataframe elements can not be access.') + raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 88a919555a..dc581e70e0 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -21,7 +21,7 @@ class Comparator: return n_index, len(bench_queue) - 1 return -1, -1 - def compare_by_op(op_name, op_name_mapping_dict, input_parma): + def compare_by_op(self,op_name, op_name_mapping_dict, input_parma): npu_bench_name_list = op_name_mapping_dict[op_name] data_name = npu_bench_name_list[1] error_file, relative_err, error_flag = None, None, False diff --git a/debug/accuracy_tools/msprobe/core/compare/highlight.py b/debug/accuracy_tools/msprobe/core/compare/highlight.py index 82f0022f8b..17dee2f500 100644 --- a/debug/accuracy_tools/msprobe/core/compare/highlight.py +++ b/debug/accuracy_tools/msprobe/core/compare/highlight.py @@ -1,8 +1,16 @@ import math import abc import numpy as np +from collections import namedtuple +import openpyxl +from openpyxl.styles import PatternFill +from collections import namedtuple from msprobe.core.common.utils import get_header_index from msprobe.core.common.const import CompareConst +from msprobe.core.common.log import logger +from msprobe.core.common.utils import CompareException +from msprobe.core.common.file_check import change_mode +from msprobe.core.common.const import CompareConst, FileCheckConst class HighlightCheck(abc.ABC): @@ -98,3 +106,124 @@ class HighlightRules: "check_order_magnitude": CheckOrderMagnitude(), "check_max_relative_diff": CheckMaxRelativeDiff(), } + + +def find_error_rows(result, last_len, n_num_input, highlight_dict, summary_compare=False, md5_compare=False): + """找到单个API中需要高亮的行""" + if md5_compare: + return + npu_max_index = get_header_index('NPU max', summary_compare) + bench_max_index = get_header_index('Bench max', summary_compare) + max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) + + red_lines, yellow_lines = [], [] + LineInfo = namedtuple('LineInfo', ['line_data', 'num_pointer']) + ApiInfo = namedtuple('ApiInfo', ['api_input', 'api_output', 'num_pointer']) + ColorColumns = namedtuple('ColorColumns', ['red', 'yellow']) + color_columns = ColorColumns(red=red_lines, yellow=yellow_lines) + + # 对单行API的输入或输出进行误差判断 + for i, line in enumerate(result): + num = last_len + i + line_info = LineInfo(line_data=line, num_pointer=num) + for rule in HighlightRules.basic_rules.values(): + rule.apply(line_info, color_columns, summary_compare) + + # 对API的输出与输入比较，进行误差判断 + for n, api_out in enumerate(result[n_num_input:len(result)]): + num = last_len + n_num_input + n + if num in red_lines: + continue + if not isinstance(api_out[npu_max_index], (float, int)) \ + or not isinstance(api_out[bench_max_index], (float, int)) \ + or not isinstance(api_out[max_diff_index], (float, int)): + continue + for _, api_in in enumerate(result[0:n_num_input]): + if not isinstance(api_in[npu_max_index], (float, int)) \ + or not isinstance(api_in[bench_max_index], (float, int)) \ + or not isinstance(api_in[max_diff_index], (float, int)): + continue + + api_info = ApiInfo(api_input=api_in, api_output=api_out, num_pointer=num) + if summary_compare: + for rule in HighlightRules.summary_compare_rules.values(): + rule.apply(api_info, color_columns, summary_compare) + else: + for rule in HighlightRules.compare_rules.values(): + rule.apply(api_info, color_columns, summary_compare) + + highlight_dict.get('red_rows', []).extend(list(set(red_lines))) + highlight_dict.get('yellow_rows', []).extend(list(set(yellow_lines) - set(red_lines))) + + +def get_name_and_state(name): + """Get api/module name and state""" + if "input" in name: + api_name = name.split("input")[0] + state = "input" + else: + api_name = name.split("output")[0] + state = "output" + return api_name, state + +def find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare): + """将dataframe根据API分组，并找到有误差的算子用于高亮""" + result = result_df.values + start, input_num, output_num, end = 0, 0, 0, len(result_df) + last_api_name, last_state = None, None + num, last_len = 0, 0 + for res_i in result: + api_name, state = get_name_and_state(res_i[0]) + if last_api_name: + if api_name == last_api_name: + if state == last_state: + num += 1 + else: + input_num = num + num, last_state = 1, state + else: + output_num = num + find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, + summary_compare, md5_compare) + num, last_api_name, last_state = 1, api_name, state + start += input_num + output_num + input_num, output_num = 1, 0 + else: + num, last_api_name, last_state = 1, api_name, state + if state: + if state == "input": + input_num = num + else: + output_num = num + find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, summary_compare, md5_compare) + + +def highlight_rows_xlsx(result_df, highlight_dict, file_path): + """Write and highlight results in Excel""" + logger.info('Compare result is %s' % file_path) + + wb = openpyxl.Workbook() + ws = wb.active + + # write header + for j, col_name in enumerate(result_df.columns, start=1): + ws.cell(row=1, column=j, value=col_name) + + for i, row in enumerate(result_df.iterrows(), start=2): + for j, value in enumerate(row[1], start=1): + if not isinstance(value, (float, int)): + value = f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else str(value) + ws.cell(row=i, column=j, value=f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else value) + + if (i - 2) in highlight_dict['red_rows']: + ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.RED, + end_color=CompareConst.RED, fill_type="solid") + elif (i - 2) in highlight_dict['yellow_rows']: + ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.YELLOW, + end_color=CompareConst.YELLOW, fill_type="solid") + try: + wb.save(file_path) + except Exception as e: + logger.error('Save result file failed') + raise CompareException(CompareException.WRITE_FILE_ERROR) from e + change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 0908c44c0c..b7a839c22f 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -29,6 +29,8 @@ from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, c from msprobe.core.common.const import Const, CompareConst, FileCheckConst from msprobe.core.common.exceptions import FileCheckException from msprobe.core.compare.utils import ComparisonResult,_save_cmp_result,merge_tensor, get_un_match_accuracy,get_accuracy,read_op +from msprobe.core.compare.highlight import find_compare_result_error_rows,highlight_rows_xlsx +from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process class MSComparator (Comparator): @@ -190,12 +192,95 @@ class MSComparator (Comparator): data_value=data_value.astype(np.float32) return data_value - - - + + def _do_multi_process(self,input_parma, result_df): + try: + result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + + +def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, + fuzzy_match=False): + try: + summary_compare, md5_compare = task_dumppath_get(input_parma) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_parma, output_path, stack_mode, summary_compare, md5_compare) + except CompareException as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) + compare_core(input_parma, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) + +# def compare(args): +# with FileOpen(args.input_path, "r") as file: +# input_param = json.load(file) +# try: +# summary_compare, md5_compare = task_dumppath_get(input_param) +# check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) +# create_directory(args.output_path) +# check_compare_param(input_param, args.output_path, summary_compare, md5_compare) +# except (CompareException, FileCheckException) as error: +# logger.error('Compare failed. Please check the arguments and do it again!') +# sys.exit(error.code) +# msComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, +# auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, +# md5_compare=md5_compare) + +def compare_core(input_parma, output_path, **kwargs): + """ + Compares data from multiple JSON files and generates a comparison report. + + Args: + input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", + "stack_path"). + output_path (str): The path where the output Excel report will be saved. + **kwargs: Additional keyword arguments including: + - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. + - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. + - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. + - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. + - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. + - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. + + Returns: + """ + # get kwargs or set default value + stack_mode = kwargs.get('stack_mode', False) + auto_analyze = kwargs.get('auto_analyze', True) + suffix = kwargs.get('suffix', '') + fuzzy_match = kwargs.get('fuzzy_match', False) + summary_compare = kwargs.get('summary_compare', False) + md5_compare = kwargs.get('md5_compare', False) + + logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") + file_name = add_time_with_xlsx("compare_result" + suffix) + file_path = os.path.join(os.path.realpath(output_path), file_name) + check_file_not_exists(file_path) + highlight_dict = {'red_rows': [], 'yellow_rows': []} + msComparator= MSComparator() + with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ + FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ + FileOpen(input_parma.get("stack_path"), "r") as stack_json: + result_df = msComparator.compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, + summary_compare, md5_compare) + + if not md5_compare and not summary_compare: + result_df = msComparator._do_multi_process(input_parma, result_df) + find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) + highlight_rows_xlsx(result_df, highlight_dict, file_path) + if auto_analyze: + advisor = Advisor(result_df, output_path) + advisor.analysis() + + \ No newline at end of file -- Gitee From 47d1c0e4a01df1b8ff1840774b572483037c1815 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Sat, 3 Aug 2024 16:21:23 +0800 Subject: [PATCH 018/160] add mindspore compare command --- debug/accuracy_tools/msprobe/msprobe.py | 32 ++++++++++++++----------- 1 file changed, 18 insertions(+), 14 deletions(-) diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index a815e7c535..e340c67eb3 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -33,7 +33,7 @@ def main(): f"For any issue, refer README.md first", ) parser.set_defaults(print_help=parser.print_help) - parser.add_argument('-f', '--framework', required=True, choices=['pytorch'], + parser.add_argument('-f', '--framework', required=True, choices=['pytorch', 'mindspore'], help='Deep learning framework.') subparsers = parser.add_subparsers() subparsers.add_parser('parse') @@ -53,19 +53,23 @@ def main(): parser.print_help() sys.exit(0) args = parser.parse_args(sys.argv[1:]) - if sys.argv[3] == "run_ut": - run_ut_command(args) - elif sys.argv[3] == "parse": - cli_parse() - elif sys.argv[3] == "multi_run_ut": - config = prepare_config(args) - run_parallel_ut(config) - elif sys.argv[3] == "api_precision_compare": - _api_precision_compare_command(args) - elif sys.argv[3] == "run_overflow_check": - _run_overflow_check_command(args) - elif sys.argv[3] == "compare": - compare(args) + if sys.argv[2] == "pytorch": + if sys.argv[3] == "run_ut": + run_ut_command(args) + elif sys.argv[3] == "parse": + cli_parse() + elif sys.argv[3] == "multi_run_ut": + config = prepare_config(args) + run_parallel_ut(config) + elif sys.argv[3] == "api_precision_compare": + _api_precision_compare_command(args) + elif sys.argv[3] == "run_overflow_check": + _run_overflow_check_command(args) + elif sys.argv[3] == "compare": + compare(args) + else: + if sys.argv[3] == "compare": + pass if __name__ == "__main__": -- Gitee From e6b261c9d575872e4d167b110b0e762e5a942445 Mon Sep 17 00:00:00 2001 From: gitee Date: Mon, 5 Aug 2024 09:39:50 +0800 Subject: [PATCH 019/160] bugfix --- .../msprobe/core/data_dump/data_processor/pytorch_processor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index dbe6f02107..5672c3f9a5 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -168,7 +168,7 @@ class TensorDataProcessor(PytorchDataProcessor): def _analyze_tensor(self, tensor, suffix): dump_data_name, file_path = self.get_save_file_path(suffix) if not path_len_exceeds_limit(file_path): - saved_tensor = tensor.contiguous().detach().cpu() + saved_tensor = tensor.contiguous().detach() torch.save(saved_tensor, file_path) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) else: -- Gitee From 4323775e44f5a3c6d6f118f670056166748f3777 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Mon, 5 Aug 2024 10:02:05 +0800 Subject: [PATCH 020/160] review fix --- .../accuracy_tools/msprobe/core/common/const.py | 2 +- .../accuracy_tools/msprobe/core/common/utils.py | 4 ++-- debug/accuracy_tools/msprobe/msprobe.py | 2 +- .../msprobe/pytorch/compare/acc_compare.py | 16 ++++++++++------ 4 files changed, 14 insertions(+), 10 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index e3d3c4e01b..f563690ee1 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -20,7 +20,7 @@ class Const: DEFAULT_PATH = './' WHITE_LIST = 'white_list' BLACK_LIST = 'black_list' - DUMP_TENSOR_DATA = '/dump_tensor_data' + DUMP_TENSOR_DATA = 'dump_tensor_data' # dump mode ALL = "all" diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index 37a7733e12..1058f04b7d 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -496,8 +496,8 @@ def task_dumppath_get(input_param): else: logger.error(f"Compare is not required for overflow_check or free_benchmark.") raise CompareException(CompareException.INVALID_TASK_ERROR) - input_param['npu_dump_data_dir'] = os.path.dirname(npu_path) + Const.DUMP_TENSOR_DATA - input_param['bench_dump_data_dir'] = os.path.dirname(bench_path) + Const.DUMP_TENSOR_DATA + input_param['npu_dump_data_dir'] = os.path.join(os.path.dirname(npu_path) + Const.DUMP_TENSOR_DATA) + input_param['bench_dump_data_dir'] = os.path.join(os.path.dirname(bench_path) + Const.DUMP_TENSOR_DATA) return summary_compare, md5_compare diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index a815e7c535..92d6bbfb68 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -65,7 +65,7 @@ def main(): elif sys.argv[3] == "run_overflow_check": _run_overflow_check_command(args) elif sys.argv[3] == "compare": - compare(args) + compare_cli(args) if __name__ == "__main__": diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 0072d94328..424aa3f7bb 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -654,22 +654,26 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) -def compare(args): +def compare_cli(args): with FileOpen(args.input_path, "r") as file: input_param = json.load(file) + compare(input_param, output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) + + +def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): npu_path = input_param.get("npu_path", None) bench_path = input_param.get("bench_path", None) if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: try: summary_compare, md5_compare = task_dumppath_get(input_param) - check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) - create_directory(args.output_path) - check_compare_param(input_param, args.output_path, summary_compare, md5_compare) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - compare_core(input_param, args.output_path, stack_mode=args.stack_mode, - auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, + compare_core(input_param, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, md5_compare=md5_compare) -- Gitee From b002457f8390947bc9cf7a9fc049c91b10d523ac Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 10:08:24 +0800 Subject: [PATCH 021/160] 82 --- .../overall_performance_comparator.py | 8 ++ .../compare_bean/profiling_info.py | 107 ++++++++---------- .../profiling_parser/gpu_profiling_parser.py | 21 +--- .../profiling_parser/npu_profiling_parser.py | 58 +++++----- .../compare_backend/utils/constant.py | 1 + .../compare_backend/utils/file_reader.py | 23 +++- 6 files changed, 109 insertions(+), 109 deletions(-) diff --git a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py index 7283c17b47..1c5cee43e6 100644 --- a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py +++ b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py @@ -12,6 +12,14 @@ class OverallPerformanceComparator(BaseComparator): self._headers = [''] base_col = [f'{base_profiling_info.profiling_type}'] comp_col = [f'{comp_profiling_info.profiling_type}'] + if base_profiling_info.RDMA_bandwidth or comp_profiling_info.RDMA_bandwidth: + self._headers.extend(['RDMA Bandwidth(GB/s)']) + base_col.append(f'{base_profiling_info.RDMA_bandwidth:.3f}GB/s') + comp_col.append(f'{comp_profiling_info.RDMA_bandwidth:.3f}GB/s') + if base_profiling_info.SDMA_bandwidth or comp_profiling_info.SDMA_bandwidth: + self._headers.extend(['SDMA Bandwidth(GB/s)']) + base_col.append(f'{base_profiling_info.SDMA_bandwidth:.3f}GB/s') + comp_col.append(f'{comp_profiling_info.SDMA_bandwidth:.3f}GB/s') if not base_profiling_info.hide_op_details and not comp_profiling_info.hide_op_details: self._headers.extend(['Cube Time(Num)', 'Vector Time(Num)']) base_col.extend([f'{base_profiling_info.cube_time:.3f}s({base_profiling_info.cube_num})', diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index e0a80a4d30..2b966a449e 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -8,8 +8,20 @@ class ProfilingInfo: def __init__(self, profiling_type: str): self.profiling_type = profiling_type - self.cube_time = 0.0 self.other_time = 0.0 + self.lccl_num = 0 + self.compute_time = 0.0 + self.communication_not_overlapped = 0.0 + self.wait_time = 0.0 + self.memory_used = 0.0 + self.e2e_time = 0.0 + self.scheduling_time = 0.0 + self.lccl_time = 0.0 + self.minimal_profiling = False + self.hide_op_details = False + self.is_level0 = False + + self.cube_time = 0.0 self.vec_time = 0.0 self.cube_num = 0 self.vec_num = 0 @@ -17,26 +29,14 @@ class ProfilingInfo: self.fa_num_fwd = 0 self.fa_num_bwd = 0 self.pa_num = 0 - self.lccl_num = 0 self.conv_time_fwd = 0.0 self.conv_time_bwd = 0.0 self.conv_num_fwd = 0 self.conv_num_bwd = 0 - self.compute_time = 0.0 - self.communication_not_overlapped = 0.0 - self.wait_time = 0.0 - self.memory_used = 0.0 - self.e2e_time = 0.0 self.sdma_time = 0.0 - self.scheduling_time = 0.0 self.fa_time_bwd = 0.0 self.pa_time = 0.0 - self.lccl_time = 0.0 self.fa_time_fwd = 0.0 - self.minimal_profiling = False - self.hide_op_details = False - self.is_level0 = False - # 性能拆解新指标 self.fa_time_fwd_cube = 0.0 self.fa_num_fwd_cube = 0 @@ -76,7 +76,8 @@ class ProfilingInfo: self.other_cube_time = 0.0 self.other_cube_num = 0 - + self.RDMA_bandwidth = 0.0 + self.SDMA_bandwidth = 0.0 @property def e2e_time_ms(self): return self.e2e_time * 10 ** 3 @@ -137,22 +138,6 @@ class ProfilingInfo: return sum((self.vector_num_trans, self.vector_num_notrans)) def trans_time_to_s(self): - self.cube_time = self.cube_time / 10 ** 6 - self.other_time = self.other_time / 10 ** 6 - self.vec_time = self.vec_time / 10 ** 6 - self.compute_time = self.compute_time / 10 ** 6 - self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 - self.wait_time = self.wait_time / 10 ** 6 - self.e2e_time = self.e2e_time / 10 ** 6 - self.sdma_time = self.sdma_time / 10 ** 6 - self.scheduling_time = self.scheduling_time / 10 ** 6 - self.fa_time_bwd = self.fa_time_bwd / 10 ** 6 - self.fa_time_fwd = self.fa_time_fwd / 10 ** 6 - self.pa_time = self.pa_time / 10 ** 6 - self.lccl_time = self.lccl_time / 10 ** 6 - self.conv_time_fwd = self.conv_time_fwd / 10 ** 6 - self.conv_time_bwd = self.conv_time_bwd / 10 ** 6 - # 新指标单位为ms self.fa_time_fwd_cube /= 10 ** 3 self.fa_time_bwd_cube /= 10 ** 3 @@ -171,6 +156,30 @@ class ProfilingInfo: self.page_attention_time /= 10 ** 3 self.other_cube_time /= 10 ** 3 + self.cube_time = (self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time) / 1000 + self.vec_time = (self.vector_time_trans + self.vector_time_notrans) / 1000 + self.cube_num = (self.matmul_num_cube + self.matmul_num_vector + self.other_cube_num) + self.vec_num = (self.vector_num_trans + self.vector_num_notrans) + self.sdma_num = (self.sdma_num_tensor_move + self.sdma_num_stream) + self.fa_num_fwd = (self.fa_num_fwd_cube + self.fa_num_fwd_vector) + self.fa_num_bwd = (self.fa_num_bwd_cube + self.fa_num_bwd_vector) + self.pa_num = self.page_attention_num + self.conv_time_fwd = (self.conv_time_fwd_cube + self.conv_time_fwd_vector) / 1000 + self.conv_time_bwd = (self.conv_time_bwd_cube + self.conv_time_bwd_vector) / 1000 + self.conv_num_fwd = (self.conv_num_fwd_cube + self.conv_num_fwd_vector) + self.conv_num_bwd = (self.conv_num_bwd_cube + self.conv_num_bwd_vector) + self.sdma_time = (self.sdma_time_tensor_move + self.sdma_time_stream) / 1000 + self.fa_time_bwd = (self.fa_time_bwd_cube + self.fa_time_bwd_vector) / 1000 + self.pa_time = self.page_attention_time / 1000 + self.fa_time_fwd = (self.fa_time_fwd_cube + self.fa_time_fwd_vector) / 1000 + + self.other_time = self.other_time / 10 ** 6 + self.compute_time = self.compute_time / 10 ** 6 + self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 + self.wait_time = self.wait_time / 10 ** 6 + self.e2e_time = self.e2e_time / 10 ** 6 + self.scheduling_time = self.scheduling_time / 10 ** 6 + self.lccl_time = self.lccl_time / 10 ** 6 def calculate_other_time(self): self.other_time = max( [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - @@ -183,14 +192,6 @@ class ProfilingInfo: def calculate_schedule_time(self): self.scheduling_time = (self.e2e_time - self.compute_time - self.lccl_time - self.communication_not_overlapped) - def update_fa_fwd_info(self, time: float): - self.fa_time_fwd += time - self.fa_num_fwd += 1 - - def update_fa_bwd_info(self, time: float): - self.fa_time_bwd += time - self.fa_num_bwd += 1 - def update_fa_fwd_cube_info(self, time: float): self.fa_time_fwd_cube += time self.fa_num_fwd_cube += 1 @@ -215,22 +216,10 @@ class ProfilingInfo: self.sdma_time_stream += time self.sdma_num_stream += num - def update_pa_info(self, time: float): - self.pa_time += time - self.pa_num += 1 - def update_lccl_info(self, time: float): self.lccl_time += time self.lccl_num += 1 - def update_conv_fwd_info(self, time: float): - self.conv_time_fwd += time - self.conv_num_fwd += 1 - - def update_conv_bwd_info(self, time: float): - self.conv_time_bwd += time - self.conv_num_bwd += 1 - def update_conv_bwd_cube_info(self, time: float): self.conv_time_bwd_cube += time self.conv_num_bwd_cube += 1 @@ -267,18 +256,6 @@ class ProfilingInfo: self.vector_time_notrans += time self.vector_num_notrans += 1 - def update_sdma_info(self, time: float, num: int = 1): - self.sdma_time += time - self.sdma_num += num - - def update_cube_info(self, time: float): - self.cube_time += time - self.cube_num += 1 - - def update_vec_info(self, time: float): - self.vec_time += time - self.vec_num += 1 - def update_other_cube_info(self, time: float): self.other_cube_time += time self.other_cube_num += 1 @@ -306,3 +283,9 @@ class ProfilingInfo: def is_not_minimal_profiling(self) -> bool: return self.profiling_type == Constant.NPU and not self.minimal_profiling + + def set_RDMA_bandwidth(self, bandwidth: float): + self.RDMA_bandwidth = bandwidth + + def set_SDMA_bandwidth(self, bandwidth: float): + self.SDMA_bandwidth = bandwidth \ No newline at end of file diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 0aeeba83ef..175b77603c 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -61,9 +61,9 @@ class GPUProfilingParser(BaseProfilingParser): def _update_overall_metrics(self): self._calculate_performance_time() self.__parse_memory_reserved() + self._result_data.overall_metrics.trans_time_to_s() self._result_data.overall_metrics.calculate_vec_time() self._result_data.overall_metrics.calculate_schedule_time() - self._result_data.overall_metrics.trans_time_to_s() def _calculate_performance_time(self): min_ts = sys.float_info.max @@ -76,7 +76,6 @@ class GPUProfilingParser(BaseProfilingParser): min_ts = min(event.start_time, min_ts) max_ts = max(event.end_time, max_ts) if event.stream == self._compute_stream_id and self.__is_sdma_time(event.name): - self._result_data.overall_metrics.update_sdma_info(event.dur) self._result_data.overall_metrics.update_sdma_stream_info(event.dur) continue if not event.is_kernel_cat(): @@ -84,7 +83,6 @@ class GPUProfilingParser(BaseProfilingParser): self.__add_marks(event) if event.is_nccl_name(): continue - self.__add_compute_time(event, aten_events, flow_dict_new) self.categorize_computing_performance_data(event, flow_dict_new) self._aten_events = None self._result_data.overall_metrics.set_e2e_time(float(max_ts - min_ts)) @@ -104,23 +102,6 @@ class GPUProfilingParser(BaseProfilingParser): for timestep in range(int(event.start_time + 1), int(event.end_time + 1)): self._marks[str(timestep)] += -100 # mark this timestep in compute stream - def __add_compute_time(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict): - if self.__is_flash_attention(event.name): - if event.is_backward(): - self._result_data.overall_metrics.update_fa_bwd_info(event.dur) - else: - self._result_data.overall_metrics.update_fa_fwd_info(event.dur) - elif any(cube_mark in event.lower_name for cube_mark in self.CUBE_MARK): - is_conv = self.__check_is_conv(event, aten_events, flow_dict_new) - if is_conv == "conv_fwd": - self._result_data.overall_metrics.update_conv_fwd_info(event.dur) - elif is_conv == "conv_bwd": - self._result_data.overall_metrics.update_conv_bwd_info(event.dur) - else: - self._result_data.overall_metrics.update_cube_info(event.dur) - else: - self._result_data.overall_metrics.update_vec_info(event.dur) - def __check_is_conv(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict) -> str: flow_start_time = flow_dict_new.get(event.start_time) if not flow_start_time: diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index cb25c252c6..3c3f054273 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -22,6 +22,7 @@ class NPUProfilingParser(BaseProfilingParser): self._operator_memory_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "operator_memory.csv") self._memory_record_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "memory_record.csv") self._kernel_detail_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "kernel_details.csv") + self._communication_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "communication.json") self._info_json_path = path_dict.get(Constant.INFO_JSON_PATH, "") self._trace_events = [TraceEventBean(event) for event in self._trace_events] self._hccl_pid = None @@ -78,7 +79,6 @@ class NPUProfilingParser(BaseProfilingParser): print("[ERROR] Failed to enable enable_kernel_compare, type of kernel_details.csv is null.") return self._result_data.update_kernel_details(kernels_dict) - def _update_memory_list(self): try: memory_data = FileReader.read_csv_file(self._operator_memory_path, OperatorMemoryBean) @@ -121,6 +121,35 @@ class NPUProfilingParser(BaseProfilingParser): return self._dequeue_data[left].corr_id if self._dequeue_data[left].start_time <= ts_time <= \ self._dequeue_data[left].end_time else Constant.INVALID_VALUE + def _update_bandwidth(self): + try: + communication_json = FileReader.read_json_file(self._communication_path) + except FileNotFoundError: + print("[WARNING] The file communication.json does not exist.") + except Exception: + print("[ERROR] Failed to read communication.json.") + return + if not communication_json: + print("[WARNING] The JSON file is empty.") + return + for _, group_dict in communication_json.items(): + step_dict = group_dict.get("collective") + total_op_info = step_dict.get("Total Op Info", {}) + rdma_size_mb = rdma_time_ms = sdma_size_mb = sdma_time_ms = 0 + if "Communication Bandwidth Info" in total_op_info: + bandwidth_info = total_op_info["Communication Bandwidth Info"] + if "RDMA" in bandwidth_info: + rdma_info = bandwidth_info["RDMA"] + rdma_size_mb += rdma_info.get("Transit Size(MB)", 0) # 单位为 MB + rdma_time_ms += rdma_info.get("Transit Time(ms)", 0) # 单位为 MS + if "SDMA" in bandwidth_info: + sdma_info = bandwidth_info["SDMA"] + sdma_size_mb += sdma_info.get("Transit Size(MB)", 0) # 单位为 MB + sdma_time_ms += sdma_info.get("Transit Time(ms)", 0) # 单位为 MS + rdma_bandwidth = (rdma_size_mb / 1024) / (rdma_time_ms / 1000) if rdma_time_ms > 0 else 0 + sdma_bandwidth = (sdma_size_mb / 1024) / (sdma_time_ms / 1000) if sdma_time_ms > 0 else 0 + self._result_data.overall_metrics.set_RDMA_bandwidth(rdma_bandwidth) + self._result_data.overall_metrics.set_SDMA_bandwidth(sdma_bandwidth) def _update_overall_metrics(self): self.__parse_info_json() self.__parse_mem_csv() @@ -130,10 +159,11 @@ class NPUProfilingParser(BaseProfilingParser): self.__add_overlap_analysis_time() self._picking_notify_wait_event_and_not_overlap_event() self.__add_overlap_wait_time() + self._result_data.overall_metrics.trans_time_to_s() self._result_data.overall_metrics.calculate_other_time() self._result_data.overall_metrics.calculate_schedule_time() - self._result_data.overall_metrics.trans_time_to_s() + self._update_bandwidth() def _picking_notify_wait_event_and_not_overlap_event(self): self.notify_event_cache = [] self._not_overlaped_commu_event = [] @@ -271,28 +301,6 @@ class NPUProfilingParser(BaseProfilingParser): self._result_data.overall_metrics.update_lccl_info(event.dur) def __parse_kernel_csv(self): - def __screen_data(kernel: KernelDetailsBean): - if kernel.is_flash_attention(): - if kernel.is_fa_bwd(): - self._result_data.overall_metrics.update_fa_bwd_info(kernel.duration) - else: - self._result_data.overall_metrics.update_fa_fwd_info(kernel.duration) - elif kernel.is_conv(): - if kernel.is_conv_bwd(): - self._result_data.overall_metrics.update_conv_bwd_info(kernel.duration) - else: - self._result_data.overall_metrics.update_conv_fwd_info(kernel.duration) - elif kernel.is_matmul(): - self._result_data.overall_metrics.update_cube_info(kernel.duration) - elif kernel.is_sdma(): - self._result_data.overall_metrics.update_sdma_info(kernel.duration) - elif kernel.is_page_attention(): - self._result_data.overall_metrics.update_pa_info(kernel.duration) - elif kernel.is_vector(): - self._result_data.overall_metrics.update_vec_info(kernel.duration) - else: - self._result_data.overall_metrics.update_cube_info(kernel.duration) - try: kernel_details = FileReader.read_csv_file(self._kernel_detail_path, KernelDetailsBean) except Exception: @@ -306,7 +314,6 @@ class NPUProfilingParser(BaseProfilingParser): for kernel in kernel_details: if kernel.is_invalid(): continue - __screen_data(kernel) self.categorize_computing_performance_data(kernel, flow_dict_new) def __parse_mem_csv(self): @@ -353,5 +360,4 @@ class NPUProfilingParser(BaseProfilingParser): compute_stream = event_wait_stream & ai_core_stream if event_wait_stream else ai_core_stream for stream in compute_stream: dur_list = sdma_dict.get(stream, []) - self._result_data.overall_metrics.update_sdma_info(sum(dur_list), len(dur_list)) self._result_data.overall_metrics.update_sdma_stream_info(sum(dur_list), len(dur_list)) diff --git a/profiler/compare_tools/compare_backend/utils/constant.py b/profiler/compare_tools/compare_backend/utils/constant.py index 252aa536e1..80d7d5ee4f 100644 --- a/profiler/compare_tools/compare_backend/utils/constant.py +++ b/profiler/compare_tools/compare_backend/utils/constant.py @@ -6,6 +6,7 @@ class Constant(object): MAX_PATH_LENGTH = 4096 MAX_FLOW_CAT_LEN = 20 MAX_FILE_SIZE = 1024 * 1024 * 1024 * 5 + MAX_JSON_SIZE = 1024 * 1024 * 1024 * 10 BYTE_TO_KB = 1024 YELLOW_COLOR = "FFFF00" GREEN_COLOR = "00FF00" diff --git a/profiler/compare_tools/compare_backend/utils/file_reader.py b/profiler/compare_tools/compare_backend/utils/file_reader.py index b4ae786388..99358368cb 100644 --- a/profiler/compare_tools/compare_backend/utils/file_reader.py +++ b/profiler/compare_tools/compare_backend/utils/file_reader.py @@ -7,7 +7,28 @@ from compare_backend.utils.constant import Constant class FileReader: - + @classmethod + def read_json_file(cls, file_path: str, bean_class: any = None) -> any: + PathManager.check_path_readable(file_path) + if not os.path.isfile(file_path): + raise FileNotFoundError("File not exists.") + file_size = os.path.getsize(file_path) + if file_size <= 0: + return [] + if file_size > Constant.MAX_JSON_SIZE: + check_msg = input( + f"The file({file_path}) size exceeds the preset max value. Continue reading the file? [y/n]") + if check_msg.lower() != "y": + print(f"[WARNING] The user choose not to read the file: {file_path}") + return [] + result_data = [] + try: + with open(file_path, "r") as json_file: + result_data = json.loads(json_file.read()) + except Exception as e: + msg = f"Failed to read the file: {file_path}" + raise RuntimeError(msg) from e + return result_data @classmethod def read_trace_file(cls, file_path: str) -> any: PathManager.check_path_readable(file_path) -- Gitee From 01edd78abd452451530dfc1fe03aeed66b70f48f Mon Sep 17 00:00:00 2001 From: CSNIU Date: Mon, 5 Aug 2024 10:30:23 +0800 Subject: [PATCH 022/160] =?UTF-8?q?compare=E6=A8=A1=E5=9D=97=E4=BB=A3?= =?UTF-8?q?=E7=A0=81=E9=87=8D=E6=9E=84=E5=88=9D=E7=89=88?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../core/compare/Multiprocessing_compute.py | 67 ++++- .../msprobe/core/compare/acc_compare.py | 9 +- .../msprobe/core/compare/check.py | 18 -- .../msprobe/core/compare/utils.py | 49 +--- .../msprobe/mindspore/__init__.py | 4 +- .../msprobe/mindspore/compare/ms_compare.py | 48 +-- .../msprobe/pytorch/__init__.py | 4 +- .../msprobe/pytorch/compare/pt_comparator.py | 273 ++++++++++++++++++ 8 files changed, 365 insertions(+), 107 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py diff --git a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py index e0c52aa6f6..9d8e9744ec 100644 --- a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py +++ b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py @@ -1,9 +1,10 @@ import multiprocessing import pandas as pd +from dataclasses import dataclass from msprobe.core.common.log import logger from msprobe.core.common.utils import CompareException - +from msprobe.core.common.const import CompareConst def _handle_multi_process(func, input_parma, result_df, lock): @@ -52,4 +53,66 @@ def read_dump_data(result_df): raise CompareException(CompareException.INVALID_DATA_ERROR) from e except IndexError as e: logger.error('result dataframe elements can not be access.') - raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e \ No newline at end of file + raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e + + +@dataclass +class ComparisonResult: + cos_result: list + max_err_result: list + max_relative_err_result: list + err_msgs: list + one_thousand_err_ratio_result: list + five_thousand_err_ratio_result: list + +def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): + """ + Save comparison results into the result DataFrame with thread safety. + Args: + offset: offset for index + result: data struct of ComparisonResult + result_df: result of DataFrame + lock: thread lock + + Returns: + comparison results in DataFrame + """ + + lock.acquire() + try: + for i, _ in enumerate(result.cos_result): + process_index = i + offset + result_df.loc[process_index, CompareConst.COSINE] = result.cos_result[i] + result_df.loc[process_index, CompareConst.MAX_ABS_ERR] = result.max_err_result[i] + result_df.loc[process_index, CompareConst.MAX_RELATIVE_ERR] = result.max_relative_err_result[i] + result_df.loc[process_index, CompareConst.ERROR_MESSAGE] = result.err_msgs[i] + result_df.loc[process_index, CompareConst.ACCURACY] = check_accuracy(result.cos_result[i], result.max_err_result[i]) + result_df.loc[process_index, CompareConst.ONE_THOUSANDTH_ERR_RATIO] = result.one_thousand_err_ratio_result[i] + result_df.loc[process_index, CompareConst.FIVE_THOUSANDTHS_ERR_RATIO] = result.five_thousand_err_ratio_result[i] + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + except IndexError as e: + logger.error('result dataframe elements can not be access.') + raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e + finally: + lock.release() + +def check_accuracy(cos, max_abs_err): + if cos == CompareConst.SHAPE_UNMATCH: + return CompareConst.ACCURACY_CHECK_UNMATCH + if cos == CompareConst.NONE or max_abs_err == CompareConst.NONE: + return CompareConst.NONE + if cos == "N/A" or max_abs_err == "N/A": + return CompareConst.ACCURACY_CHECK_NO + try: + cos, max_abs_err = float(cos), float(max_abs_err) + except ValueError: + logger.warning("Cosine or MaxAbsErr can not get float value.") + return CompareConst.NONE + if cos < CompareConst.COS_THRESHOLD and max_abs_err > CompareConst.MAX_ABS_ERR_THRESHOLD: + return CompareConst.ACCURACY_CHECK_NO + if cos < CompareConst.COS_MAX_THRESHOLD or max_abs_err > CompareConst.MAX_ABS_ERR_MAX_THRESHOLD: + return CompareConst.ACCURACY_CHECK_NO + return CompareConst.ACCURACY_CHECK_YES \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index dc581e70e0..7d2be9c4c0 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -1,6 +1,5 @@ from msprobe.core.compare.check import check_op -from msprobe.mindspore.compare.ms_compare import MSComparator -from msprobe.core.common.const import Const, CompareConst +from msprobe.core.common.const import CompareConst from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ get_error_message from msprobe.core.common.exceptions import FileCheckException @@ -30,9 +29,9 @@ class Comparator: error_flag = True else: try: - msComparator= MSComparator() - n_value = msComparator.read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) - b_value = msComparator.read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) + read_npy_data=getattr(self,"read_npy_data") + n_value = read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) + b_value = read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) except IOError as error: error_file = error.filename n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py index aab8cb50ec..a8ee3638a2 100644 --- a/debug/accuracy_tools/msprobe/core/compare/check.py +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -1,6 +1,5 @@ from msprobe.core.compare.match import graph_mapping from msprobe.core.common.log import logger -from msprobe.core.common.const import Const, CompareConst, FileCheckConst from msprobe.core.compare.utils import rename_api @@ -87,20 +86,3 @@ def fuzzy_check_name(npu_name, bench_name): -def check_accuracy(cos, max_abs_err): - if cos == CompareConst.SHAPE_UNMATCH: - return CompareConst.ACCURACY_CHECK_UNMATCH - if cos == CompareConst.NONE or max_abs_err == CompareConst.NONE: - return CompareConst.NONE - if cos == "N/A" or max_abs_err == "N/A": - return CompareConst.ACCURACY_CHECK_NO - try: - cos, max_abs_err = float(cos), float(max_abs_err) - except ValueError: - logger.warning("Cosine or MaxAbsErr can not get float value.") - return CompareConst.NONE - if cos < CompareConst.COS_THRESHOLD and max_abs_err > CompareConst.MAX_ABS_ERR_THRESHOLD: - return CompareConst.ACCURACY_CHECK_NO - if cos < CompareConst.COS_MAX_THRESHOLD or max_abs_err > CompareConst.MAX_ABS_ERR_MAX_THRESHOLD: - return CompareConst.ACCURACY_CHECK_NO - return CompareConst.ACCURACY_CHECK_YES \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index 0ed0b4ebd8..d213e0b46d 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -1,10 +1,9 @@ +import os import numpy as np -from msprobe.core.common.log import logger from msprobe.core.common.const import Const, CompareConst -from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ - format_value, check_file_not_exists, check_configuration_param, task_dumppath_get -from msprobe.core.compare.check import check_accuracy + + def rename_api(npu_name, process): @@ -152,15 +151,6 @@ def resolve_api_special_parameters(data_dict, full_op_name, item_list): parsed_item['full_op_name'] = full_op_name_new item_list.append(parsed_item) -@dataclass -class ComparisonResult: - cos_result: list - max_err_result: list - max_relative_err_result: list - err_msgs: list - one_thousand_err_ratio_result: list - five_thousand_err_ratio_result: list - def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=False): def get_accuracy_core(n_start, n_len, b_start, b_len, key): @@ -363,39 +353,6 @@ def merge_tensor(tensor_list, summary_compare, md5_compare): -def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): - """ - Save comparison results into the result DataFrame with thread safety. - Args: - offset: offset for index - result: data struct of ComparisonResult - result_df: result of DataFrame - lock: thread lock - - Returns: - comparison results in DataFrame - """ - - lock.acquire() - try: - for i, _ in enumerate(result.cos_result): - process_index = i + offset - result_df.loc[process_index, CompareConst.COSINE] = result.cos_result[i] - result_df.loc[process_index, CompareConst.MAX_ABS_ERR] = result.max_err_result[i] - result_df.loc[process_index, CompareConst.MAX_RELATIVE_ERR] = result.max_relative_err_result[i] - result_df.loc[process_index, CompareConst.ERROR_MESSAGE] = result.err_msgs[i] - result_df.loc[process_index, CompareConst.ACCURACY] = check_accuracy(result.cos_result[i], result.max_err_result[i]) - result_df.loc[process_index, CompareConst.ONE_THOUSANDTH_ERR_RATIO] = result.one_thousand_err_ratio_result[i] - result_df.loc[process_index, CompareConst.FIVE_THOUSANDTHS_ERR_RATIO] = result.five_thousand_err_ratio_result[i] - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - except IndexError as e: - logger.error('result dataframe elements can not be access.') - raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - finally: - lock.release() diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index d131591a33..60bebb2ba6 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1,3 +1,3 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger -from .compare.acc_compare import compare -from .compare.distributed_compare import compare_distributed +# from .compare.acc_compare import compare +# from .compare.distributed_compare import compare_distributed diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index b7a839c22f..9d1e1976b8 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -1,11 +1,3 @@ -from msprobe.core.compare.acc_compare import Comparator -from msprobe.core.common.log import logger - - - - - - import json import multiprocessing import os.path @@ -13,24 +5,18 @@ import sys import numpy as np import pandas as pd -import openpyxl -from openpyxl.styles import PatternFill -from collections import namedtuple -from dataclasses import dataclass -from msprobe.mindspore.compare.match import graph_mapping -from msprobe.mindspore.compare.highlight import HighlightRules, get_header_index - -from msprobe.mindspore.advisor.advisor import Advisor -from msprobe.mindspore.common.log import logger +from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ - format_value, check_file_not_exists, check_configuration_param, task_dumppath_get -from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory + check_file_not_exists, check_configuration_param, task_dumppath_get +from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory from msprobe.core.common.const import Const, CompareConst, FileCheckConst -from msprobe.core.common.exceptions import FileCheckException + from msprobe.core.compare.utils import ComparisonResult,_save_cmp_result,merge_tensor, get_un_match_accuracy,get_accuracy,read_op from msprobe.core.compare.highlight import find_compare_result_error_rows,highlight_rows_xlsx from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process +from msprobe.core.compare.acc_compare import Comparator +from msprobe.core.common.log import logger class MSComparator (Comparator): @@ -180,7 +166,15 @@ class MSComparator (Comparator): result_df = pd.DataFrame(result, columns=header) return result_df - + + + def _do_multi_process(self,input_parma, result_df): + try: + result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) @@ -194,23 +188,13 @@ class MSComparator (Comparator): return data_value - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - - - def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_parma) check_configuration_param(stack_mode, auto_analyze, fuzzy_match) create_directory(output_path) - check_compare_param(input_parma, output_path, stack_mode, summary_compare, md5_compare) + check_compare_param(input_parma, output_path, summary_compare, md5_compare) except CompareException as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) diff --git a/debug/accuracy_tools/msprobe/pytorch/__init__.py b/debug/accuracy_tools/msprobe/pytorch/__init__.py index 482e850f7b..11193b39f6 100644 --- a/debug/accuracy_tools/msprobe/pytorch/__init__.py +++ b/debug/accuracy_tools/msprobe/pytorch/__init__.py @@ -1,4 +1,4 @@ from .debugger.precision_debugger import PrecisionDebugger from .common.utils import seed_all -from .compare.acc_compare import compare -from .compare.distributed_compare import compare_distributed +# from .compare.acc_compare import compare +# from .compare.distributed_compare import compare_distributed diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py new file mode 100644 index 0000000000..5cf83762ac --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py @@ -0,0 +1,273 @@ +import argparse +import json +import multiprocessing +import os.path +import sys +import torch +import numpy as np +import pandas as pd + +from msprobe.core.advisor.advisor import Advisor +from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ + check_file_not_exists, check_configuration_param, task_dumppath_get +from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory +from msprobe.core.common.const import Const, CompareConst, FileCheckConst + +from msprobe.core.compare.utils import ComparisonResult,_save_cmp_result,merge_tensor, get_un_match_accuracy,get_accuracy,read_op +from msprobe.core.compare.highlight import find_compare_result_error_rows,highlight_rows_xlsx +from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process +from msprobe.core.compare.acc_compare import Comparator +from msprobe.core.common.log import logger + + +class PTComparator (Comparator): + def __init__(self): + super().__init__() + + + def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): + cos_result = [] + max_err_result = [] + max_relative_err_result = [] + err_mess = [] + one_thousand_err_ratio_result = [] + five_thousand_err_ratio_result = [] + is_print_compare_log = input_parma.get("is_print_compare_log") + for i in range(len(result_df)): + op_name = result_df.iloc[i, 0] + if is_print_compare_log: + logger.info("start compare: {}".format(op_name)) + cos_sim, max_abs_err, max_relative_err, one_thousand_err_ratio, five_thousand_err_ratio, err_msg = self.compare_by_op( + op_name, dump_path_dict, input_parma) + if is_print_compare_log: + logger.info( + "[{}] Compare result: cosine {}, max_abs_err {}, max_relative_err {}, {}, one_thousand_err_ratio {}, " + "five_thousand_err_ratio {}".format(op_name, cos_sim, max_abs_err, max_relative_err, err_msg, + one_thousand_err_ratio, five_thousand_err_ratio)) + cos_result.append(cos_sim) + max_err_result.append(max_abs_err) + max_relative_err_result.append(max_relative_err) + err_mess.append(err_msg) + one_thousand_err_ratio_result.append(one_thousand_err_ratio) + five_thousand_err_ratio_result.append(five_thousand_err_ratio) + + cr = ComparisonResult( + cos_result=cos_result, + max_err_result=max_err_result, + max_relative_err_result=max_relative_err_result, + err_msgs=err_mess, + one_thousand_err_ratio_result=one_thousand_err_ratio_result, + five_thousand_err_ratio_result=five_thousand_err_ratio_result + ) + + return _save_cmp_result(idx, cr, result_df, lock) + + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): + npu_json_handle, bench_json_handle, stack_json_handle = file_handles + npu_json_data = json.load(npu_json_handle) + bench_json_data = json.load(bench_json_handle) + stack_json_data = json.load(stack_json_handle) + + if fuzzy_match: + logger.warning("This task uses fuzzy matching, which may affect the accuracy of the comparison.") + + npu_ops_queue = [] + bench_ops_queue = [] + result = [] + + ops_npu_iter = iter(npu_json_data['data']) + ops_bench_iter = iter(bench_json_data['data']) + read_err_npu = True + read_err_bench = True + last_npu_ops_len = 0 + last_bench_ops_len = 0 + + while True: + if not read_err_npu and not read_err_bench: + break + try: + last_npu_ops_len = len(npu_ops_queue) + op_name_npu = next(ops_npu_iter) + read_err_npu = True + + npu_op_data = npu_json_data['data'][op_name_npu] + npu_op_parsed_list = read_op(npu_op_data, op_name_npu) + if op_name_npu in stack_json_data: + npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) + else: + npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) + + npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) + if npu_merge_list: + npu_ops_queue.append(npu_merge_list) + except StopIteration: + read_err_npu = False + try: + last_bench_ops_len = len(bench_ops_queue) + op_name_bench = next(ops_bench_iter) + + bench_op_data = bench_json_data['data'][op_name_bench] + bench_op_parsed_list = read_op(bench_op_data, op_name_bench) + if op_name_bench in stack_json_data: + bench_op_parsed_list.append( + {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) + else: + bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) + + bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) + if bench_merge_list: + bench_ops_queue.append(bench_merge_list) + except StopIteration: + read_err_bench = False + + # merge all boolean expressions + both_empty = not npu_ops_queue and not bench_ops_queue + no_change = (len(npu_ops_queue) == last_npu_ops_len) and (len(bench_ops_queue) == last_bench_ops_len) + if both_empty or no_change: + continue + + n_match_point, b_match_point = super().match_op(npu_ops_queue, bench_ops_queue, fuzzy_match) + if n_match_point == -1 and b_match_point == -1: + continue + n_match_data = npu_ops_queue[n_match_point] + b_match_data = bench_ops_queue[b_match_point] + un_match_data = npu_ops_queue[0: n_match_point] + for npu_data in un_match_data: + get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) + get_accuracy(result, n_match_data, b_match_data, summary_compare, md5_compare) + del npu_ops_queue[0: n_match_point + 1] + del bench_ops_queue[0: b_match_point + 1] + if npu_ops_queue: + for npu_data in npu_ops_queue: + get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) + + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] + + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + + result_df = pd.DataFrame(result, columns=header) + return result_df + + + def read_npy_data(self,dir_path, file_name): + data_path = os.path.join(dir_path, file_name) + path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, + FileCheckConst.PT_SUFFIX, False) + data_path = path_checker.common_check() + data_value = torch.load(data_path, map_location=torch.device('cpu')).detach() # detach for less memory + if data_value.dtype == torch.bfloat16: + data_value = data_value.to(torch.float32) + data_value = data_value.numpy() + return data_value + + + def _do_multi_process(self,input_parma, result_df): + try: + result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + + + +def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, + fuzzy_match=False): + try: + summary_compare, md5_compare = task_dumppath_get(input_parma) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_parma, output_path, summary_compare, md5_compare) + except CompareException as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) + compare_core(input_parma, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) + +# def compare(args): +# with FileOpen(args.input_path, "r") as file: +# input_param = json.load(file) +# try: +# summary_compare, md5_compare = task_dumppath_get(input_param) +# check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) +# create_directory(args.output_path) +# check_compare_param(input_param, args.output_path, summary_compare, md5_compare) +# except (CompareException, FileCheckException) as error: +# logger.error('Compare failed. Please check the arguments and do it again!') +# sys.exit(error.code) +# msComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, +# auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, +# md5_compare=md5_compare) + +def compare_core(input_parma, output_path, **kwargs): + """ + Compares data from multiple JSON files and generates a comparison report. + + Args: + input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", + "stack_path"). + output_path (str): The path where the output Excel report will be saved. + **kwargs: Additional keyword arguments including: + - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. + - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. + - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. + - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. + - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. + - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. + + Returns: + """ + # get kwargs or set default value + stack_mode = kwargs.get('stack_mode', False) + auto_analyze = kwargs.get('auto_analyze', True) + suffix = kwargs.get('suffix', '') + fuzzy_match = kwargs.get('fuzzy_match', False) + summary_compare = kwargs.get('summary_compare', False) + md5_compare = kwargs.get('md5_compare', False) + + logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") + file_name = add_time_with_xlsx("compare_result" + suffix) + file_path = os.path.join(os.path.realpath(output_path), file_name) + check_file_not_exists(file_path) + highlight_dict = {'red_rows': [], 'yellow_rows': []} + ptComparator= PTComparator() + with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ + FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ + FileOpen(input_parma.get("stack_path"), "r") as stack_json: + result_df = ptComparator.compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, + summary_compare, md5_compare) + + if not md5_compare and not summary_compare: + result_df = ptComparator._do_multi_process(input_parma, result_df) + find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) + highlight_rows_xlsx(result_df, highlight_dict, file_path) + if auto_analyze: + advisor = Advisor(result_df, output_path) + advisor.analysis() + + + + + + \ No newline at end of file -- Gitee From 59cbefe4a7e097400c270695920b6e7a92c6fb13 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Mon, 5 Aug 2024 10:33:31 +0800 Subject: [PATCH 023/160] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E5=A4=96=E9=83=A8?= =?UTF-8?q?=E8=B0=83=E7=94=A8=E6=8E=A5=E5=8F=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/msprobe.py | 4 ++-- debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index e340c67eb3..a27d3b55aa 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -23,7 +23,7 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command from msprobe.pytorch.compare.acc_compare import _compare_parser, compare - +from msprobe.pytorch.compare.pt_comparator import pt_compare def main(): parser = argparse.ArgumentParser( @@ -66,7 +66,7 @@ def main(): elif sys.argv[3] == "run_overflow_check": _run_overflow_check_command(args) elif sys.argv[3] == "compare": - compare(args) + pt_compare(args) else: if sys.argv[3] == "compare": pass diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py index 5cf83762ac..22dd2be4d7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py @@ -191,7 +191,7 @@ class PTComparator (Comparator): -def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, +def pt_compare(input_parma, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_parma) -- Gitee From 5e93574699b3123e31fbb7dc32f2e2ee79725b19 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Mon, 5 Aug 2024 10:38:22 +0800 Subject: [PATCH 024/160] review fix --- debug/accuracy_tools/msprobe/msprobe.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 92d6bbfb68..4a6250039e 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -22,7 +22,7 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ _api_precision_compare_command from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command -from msprobe.pytorch.compare.acc_compare import _compare_parser, compare +from msprobe.pytorch.compare.acc_compare import _compare_parser, compare_cli def main(): -- Gitee From 36813c1635ea55b59f87a1a4b1aa35a7321170ae Mon Sep 17 00:00:00 2001 From: gitee Date: Mon, 5 Aug 2024 10:55:50 +0800 Subject: [PATCH 025/160] add complex method --- .../core/data_dump/data_processor/pytorch_processor.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 007fec8096..4e39d862be 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -69,6 +69,12 @@ class PytorchDataProcessor(BaseDataProcessor): tensor_stat.min = False not in data_clone elif not data_clone.shape: tensor_stat.max = tensor_stat.min = tensor_stat.mean = tensor_stat.norm = data_clone.item() + elif torch.is_complex(data_clone): + data_np = data_clone.cpu().numpy() + data_abs = np.abs(data_np) + tensor_stat.max = np.max(data_abs).item() + tensor_stat.min = np.min(data_abs).item() + tensor_stat.mean = np.mean(data_abs).item() else: if not data_clone.is_floating_point() or data_clone.dtype == torch.float64: data_clone = data_clone.float() -- Gitee From eb56c1da8cead969c2c2c499573ee24d8d44fa18 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Mon, 5 Aug 2024 10:57:04 +0800 Subject: [PATCH 026/160] review fix --- debug/accuracy_tools/msprobe/core/common/utils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index 1058f04b7d..f2b58dfad5 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -496,8 +496,8 @@ def task_dumppath_get(input_param): else: logger.error(f"Compare is not required for overflow_check or free_benchmark.") raise CompareException(CompareException.INVALID_TASK_ERROR) - input_param['npu_dump_data_dir'] = os.path.join(os.path.dirname(npu_path) + Const.DUMP_TENSOR_DATA) - input_param['bench_dump_data_dir'] = os.path.join(os.path.dirname(bench_path) + Const.DUMP_TENSOR_DATA) + input_param['npu_dump_data_dir'] = os.path.join(os.path.dirname(npu_path), Const.DUMP_TENSOR_DATA) + input_param['bench_dump_data_dir'] = os.path.join(os.path.dirname(bench_path), Const.DUMP_TENSOR_DATA) return summary_compare, md5_compare -- Gitee From 58834d42f170f448168e9664ec873a4555562540 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Mon, 5 Aug 2024 11:07:25 +0800 Subject: [PATCH 027/160] review fix --- debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index 424aa3f7bb..f0e56a6096 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -657,7 +657,7 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): def compare_cli(args): with FileOpen(args.input_path, "r") as file: input_param = json.load(file) - compare(input_param, output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) + compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): -- Gitee From 4023906e2328679c5a2343f6db5e9cf15362b9c2 Mon Sep 17 00:00:00 2001 From: zhaolei Date: Mon, 5 Aug 2024 11:20:43 +0800 Subject: [PATCH 028/160] =?UTF-8?q?1.ai=20core=E9=99=8D=E9=A2=91=E5=88=86?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/core/common_config.py | 4 ++-- .../core/data_dump/data_processor/pytorch_processor.py | 2 +- .../msprobe/pytorch/debugger/debugger_config.py | 2 +- debug/accuracy_tools/msprobe/pytorch/pt_config.py | 4 ++-- .../accuracy_tools/msprobe/test/core_ut/test_common_config.py | 2 +- .../accuracy_tools/msprobe/test/pytorch_ut/test_pt_config.py | 2 +- .../analyzer/computation/ai_core_freq/ai_core_freq_checker.py | 2 +- 7 files changed, 9 insertions(+), 9 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common_config.py b/debug/accuracy_tools/msprobe/core/common_config.py index ed38eba008..b4bf5cf28e 100644 --- a/debug/accuracy_tools/msprobe/core/common_config.py +++ b/debug/accuracy_tools/msprobe/core/common_config.py @@ -44,8 +44,8 @@ class BaseConfig: self.data_mode = json_config.get('data_mode') self.backward_input = json_config.get("backward_input") self.file_format = json_config.get("file_format") - self.summary_mode = json_config.get("summary_mode") - self.overflow_num = json_config.get("overflow_num") + self.summary_mode = json_config.get("summary_mode") + self.overflow_nums = json_config.get("overflow_nums") self.check_mode = json_config.get("check_mode") def check_config(self): diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 8dac54fd2e..2712bac619 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -182,7 +182,7 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): super().__init__(config, data_writer) self.cached_tensors_and_file_paths = {} self.real_overflow_dump_times = 0 - self.overflow_nums = config.overflow_num + self.overflow_nums = config.overflow_nums self.bits_for_overflow = 8 @staticmethod diff --git a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py index cfc588e1e9..f1289e9b01 100644 --- a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py @@ -21,7 +21,7 @@ class DebuggerConfig: self.acl_config = common_config.acl_config if common_config.acl_config else "" self.is_forward_acl_dump = True self.summary_mode = task_config.summary_mode if task_config.summary_mode else Const.STATISTICS - self.overflow_num = task_config.overflow_num if task_config.overflow_num else 1 + self.overflow_nums = task_config.overflow_nums if task_config.overflow_nums else 1 self.framework = Const.PT_FRAMEWORK if self.task == Const.FREE_BENCHMARK: diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index a3d765f3a4..ceec92a633 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -32,12 +32,12 @@ class StatisticsConfig(BaseConfig): class OverflowCheckConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) - self.overflow_num = json_config.get("overflow_nums") + self.overflow_nums = json_config.get("overflow_nums") self.check_mode = json_config.get("check_mode") self.check_overflow_config() def check_overflow_config(self): - if self.overflow_num is not None and not isinstance(self.overflow_num, int): + if self.overflow_nums is not None and not isinstance(self.overflow_nums, int): raise Exception("overflow_num is invalid") if self.check_mode is not None and self.check_mode not in ["all", "aicore", "atomic"]: raise Exception("check_mode is invalid") diff --git a/debug/accuracy_tools/msprobe/test/core_ut/test_common_config.py b/debug/accuracy_tools/msprobe/test/core_ut/test_common_config.py index 06c7378ed3..8b2138a485 100644 --- a/debug/accuracy_tools/msprobe/test/core_ut/test_common_config.py +++ b/debug/accuracy_tools/msprobe/test/core_ut/test_common_config.py @@ -121,7 +121,7 @@ class TestCommonConfig(TestCase): self.assertIsNone(base_config.backward_input) self.assertIsNone(base_config.file_format) self.assertIsNone(base_config.summary_mode) - self.assertIsNone(base_config.overflow_num) + self.assertIsNone(base_config.overflow_nums) self.assertIsNone(base_config.check_mode) json_config.update({"scope": "Tensor_Add"}) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/test_pt_config.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/test_pt_config.py index c344f0b66b..470390d77b 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/test_pt_config.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/test_pt_config.py @@ -45,7 +45,7 @@ class TestPtConfig(TestCase): } } result = parse_task_config(Const.OVERFLOW_CHECK, overflow_check_config) - self.assertEqual(result.overflow_num, 1) + self.assertEqual(result.overflow_nums, 1) self.assertEqual(result.check_mode, "all") free_benchmark_config = { diff --git a/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py b/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py index 5ea4dbd754..7afa09cca4 100644 --- a/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py +++ b/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py @@ -49,7 +49,7 @@ class AICoreFreqChecker: max_freq = max(self.DEFAULT_FREQ, convert_to_float(Config().get_config("aic_frequency"))) decrease_freq_ratio = sum(max_freq - freq for freq in freq_list) / (max_freq * len(freq_list)) - if decrease_freq_ratio >= self.DECREASE_FREQ_RATIO: + if decrease_freq_ratio >= Config().get_config("frequency_threshold"): self.ai_core_freq_issues = True self.decrease_freq_ops.append([op_name, op_count, op_total_duration, f"{round(decrease_freq_ratio, 4):.2%}", -- Gitee From bfed17ecf88c96d7895e4e66604f6e6841718013 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Mon, 5 Aug 2024 16:27:52 +0800 Subject: [PATCH 029/160] =?UTF-8?q?=20=20=E5=BE=AE=E9=87=8D=E6=9E=84=20?= =?UTF-8?q?=EF=BC=8C=E5=8F=A6=E5=A4=96=E5=8F=98=E6=9B=B4=E4=BA=86=E5=AF=B9?= =?UTF-8?q?=E5=A4=96=E7=9A=84=E6=8E=A5=E5=8F=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/mindspore/compare/ms_compare.py | 146 +++++++++--------- debug/accuracy_tools/msprobe/msprobe.py | 2 +- .../{pt_comparator.py => pt_compare.py} | 137 ++++++++-------- 3 files changed, 145 insertions(+), 140 deletions(-) rename debug/accuracy_tools/msprobe/pytorch/compare/{pt_comparator.py => pt_compare.py} (69%) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 9d1e1976b8..c631655d90 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -17,7 +17,7 @@ from msprobe.core.compare.highlight import find_compare_result_error_rows,highli from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger - +from msprobe.core.common.exceptions import FileCheckException class MSComparator (Comparator): def __init__(self): @@ -186,82 +186,84 @@ class MSComparator (Comparator): data_value=data_value.astype(np.float32) return data_value + + def compare_core(self,input_parma, output_path, **kwargs): + """ + Compares data from multiple JSON files and generates a comparison report. + + Args: + input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", + "stack_path"). + output_path (str): The path where the output Excel report will be saved. + **kwargs: Additional keyword arguments including: + - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. + - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. + - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. + - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. + - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. + - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. + + Returns: + """ + # get kwargs or set default value + stack_mode = kwargs.get('stack_mode', False) + auto_analyze = kwargs.get('auto_analyze', True) + suffix = kwargs.get('suffix', '') + fuzzy_match = kwargs.get('fuzzy_match', False) + summary_compare = kwargs.get('summary_compare', False) + md5_compare = kwargs.get('md5_compare', False) + + logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") + file_name = add_time_with_xlsx("compare_result" + suffix) + file_path = os.path.join(os.path.realpath(output_path), file_name) + check_file_not_exists(file_path) + highlight_dict = {'red_rows': [], 'yellow_rows': []} + with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ + FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ + FileOpen(input_parma.get("stack_path"), "r") as stack_json: + result_df = self.compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, + summary_compare, md5_compare) + + if not md5_compare and not summary_compare: + result_df = self._do_multi_process(input_parma, result_df) + find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) + highlight_rows_xlsx(result_df, highlight_dict, file_path) + if auto_analyze: + advisor = Advisor(result_df, output_path) + advisor.analysis() + + +# def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, +# fuzzy_match=False): +# try: +# summary_compare, md5_compare = task_dumppath_get(input_parma) +# check_configuration_param(stack_mode, auto_analyze, fuzzy_match) +# create_directory(output_path) +# check_compare_param(input_parma, output_path, summary_compare, md5_compare) +# except CompareException as error: +# logger.error('Compare failed. Please check the arguments and do it again!') +# sys.exit(error.code) +# compare_core(input_parma, output_path, stack_mode=stack_mode, +# auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, +# md5_compare=md5_compare) - -def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, - fuzzy_match=False): +def ms_compare(args): + with FileOpen(args.input_path, "r") as file: + input_param = json.load(file) try: - summary_compare, md5_compare = task_dumppath_get(input_parma) - check_configuration_param(stack_mode, auto_analyze, fuzzy_match) - create_directory(output_path) - check_compare_param(input_parma, output_path, summary_compare, md5_compare) - except CompareException as error: + summary_compare, md5_compare = task_dumppath_get(input_param) + check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) + create_directory(args.output_path) + check_compare_param(input_param, args.output_path, summary_compare, md5_compare) + except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - compare_core(input_parma, output_path, stack_mode=stack_mode, - auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) - -# def compare(args): -# with FileOpen(args.input_path, "r") as file: -# input_param = json.load(file) -# try: -# summary_compare, md5_compare = task_dumppath_get(input_param) -# check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) -# create_directory(args.output_path) -# check_compare_param(input_param, args.output_path, summary_compare, md5_compare) -# except (CompareException, FileCheckException) as error: -# logger.error('Compare failed. Please check the arguments and do it again!') -# sys.exit(error.code) -# msComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, -# auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, -# md5_compare=md5_compare) - -def compare_core(input_parma, output_path, **kwargs): - """ - Compares data from multiple JSON files and generates a comparison report. - - Args: - input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", - "stack_path"). - output_path (str): The path where the output Excel report will be saved. - **kwargs: Additional keyword arguments including: - - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. - - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. - - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. - - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. - - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. - - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. - - Returns: - """ - # get kwargs or set default value - stack_mode = kwargs.get('stack_mode', False) - auto_analyze = kwargs.get('auto_analyze', True) - suffix = kwargs.get('suffix', '') - fuzzy_match = kwargs.get('fuzzy_match', False) - summary_compare = kwargs.get('summary_compare', False) - md5_compare = kwargs.get('md5_compare', False) - - logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") - file_name = add_time_with_xlsx("compare_result" + suffix) - file_path = os.path.join(os.path.realpath(output_path), file_name) - check_file_not_exists(file_path) - highlight_dict = {'red_rows': [], 'yellow_rows': []} msComparator= MSComparator() - with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ - FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ - FileOpen(input_parma.get("stack_path"), "r") as stack_json: - result_df = msComparator.compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, - summary_compare, md5_compare) - - if not md5_compare and not summary_compare: - result_df = msComparator._do_multi_process(input_parma, result_df) - find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) - highlight_rows_xlsx(result_df, highlight_dict, file_path) - if auto_analyze: - advisor = Advisor(result_df, output_path) - advisor.analysis() + msComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, + auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) + + diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index a27d3b55aa..11c3899bd5 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -23,7 +23,7 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command from msprobe.pytorch.compare.acc_compare import _compare_parser, compare -from msprobe.pytorch.compare.pt_comparator import pt_compare +from debug.accuracy_tools.msprobe.pytorch.compare.pt_compare import pt_compare def main(): parser = argparse.ArgumentParser( diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py similarity index 69% rename from debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py rename to debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 22dd2be4d7..49fc5ed653 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_comparator.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -18,7 +18,7 @@ from msprobe.core.compare.highlight import find_compare_result_error_rows,highli from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger - +from msprobe.core.common.exceptions import FileCheckException class PTComparator (Comparator): def __init__(self): @@ -189,82 +189,85 @@ class PTComparator (Comparator): logger.error('result dataframe is not found.') raise CompareException(CompareException.INVALID_DATA_ERROR) from e + def compare_core(self,input_parma, output_path, **kwargs): + """ + Compares data from multiple JSON files and generates a comparison report. + Args: + input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", + "stack_path"). + output_path (str): The path where the output Excel report will be saved. + **kwargs: Additional keyword arguments including: + - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. + - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. + - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. + - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. + - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. + - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. -def pt_compare(input_parma, output_path, stack_mode=False, auto_analyze=True, - fuzzy_match=False): - try: - summary_compare, md5_compare = task_dumppath_get(input_parma) - check_configuration_param(stack_mode, auto_analyze, fuzzy_match) - create_directory(output_path) - check_compare_param(input_parma, output_path, summary_compare, md5_compare) - except CompareException as error: - logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) - compare_core(input_parma, output_path, stack_mode=stack_mode, - auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) + Returns: + """ + # get kwargs or set default value + stack_mode = kwargs.get('stack_mode', False) + auto_analyze = kwargs.get('auto_analyze', True) + suffix = kwargs.get('suffix', '') + fuzzy_match = kwargs.get('fuzzy_match', False) + summary_compare = kwargs.get('summary_compare', False) + md5_compare = kwargs.get('md5_compare', False) + + logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") + file_name = add_time_with_xlsx("compare_result" + suffix) + file_path = os.path.join(os.path.realpath(output_path), file_name) + check_file_not_exists(file_path) + highlight_dict = {'red_rows': [], 'yellow_rows': []} + + with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ + FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ + FileOpen(input_parma.get("stack_path"), "r") as stack_json: + result_df = self.compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, + summary_compare, md5_compare) + + if not md5_compare and not summary_compare: + result_df = self._do_multi_process(input_parma, result_df) + find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) + highlight_rows_xlsx(result_df, highlight_dict, file_path) + if auto_analyze: + advisor = Advisor(result_df, output_path) + advisor.analysis() -# def compare(args): -# with FileOpen(args.input_path, "r") as file: -# input_param = json.load(file) + +# def pt_compare(input_parma, output_path, stack_mode=False, auto_analyze=True, +# fuzzy_match=False): # try: -# summary_compare, md5_compare = task_dumppath_get(input_param) -# check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) -# create_directory(args.output_path) -# check_compare_param(input_param, args.output_path, summary_compare, md5_compare) -# except (CompareException, FileCheckException) as error: +# summary_compare, md5_compare = task_dumppath_get(input_parma) +# check_configuration_param(stack_mode, auto_analyze, fuzzy_match) +# create_directory(output_path) +# check_compare_param(input_parma, output_path, summary_compare, md5_compare) +# except CompareException as error: # logger.error('Compare failed. Please check the arguments and do it again!') # sys.exit(error.code) -# msComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, -# auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, -# md5_compare=md5_compare) - -def compare_core(input_parma, output_path, **kwargs): - """ - Compares data from multiple JSON files and generates a comparison report. - - Args: - input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", - "stack_path"). - output_path (str): The path where the output Excel report will be saved. - **kwargs: Additional keyword arguments including: - - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. - - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. - - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. - - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. - - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. - - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. +# ptComparator= PTComparator() +# ptComparator.compare_core(input_parma, output_path, stack_mode=stack_mode, +# auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, +# md5_compare=md5_compare) - Returns: - """ - # get kwargs or set default value - stack_mode = kwargs.get('stack_mode', False) - auto_analyze = kwargs.get('auto_analyze', True) - suffix = kwargs.get('suffix', '') - fuzzy_match = kwargs.get('fuzzy_match', False) - summary_compare = kwargs.get('summary_compare', False) - md5_compare = kwargs.get('md5_compare', False) - logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") - file_name = add_time_with_xlsx("compare_result" + suffix) - file_path = os.path.join(os.path.realpath(output_path), file_name) - check_file_not_exists(file_path) - highlight_dict = {'red_rows': [], 'yellow_rows': []} +def pt_compare(args): + with FileOpen(args.input_path, "r") as file: + input_param = json.load(file) + try: + summary_compare, md5_compare = task_dumppath_get(input_param) + check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) + create_directory(args.output_path) + check_compare_param(input_param, args.output_path, summary_compare, md5_compare) + except (CompareException, FileCheckException) as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) ptComparator= PTComparator() - with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ - FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ - FileOpen(input_parma.get("stack_path"), "r") as stack_json: - result_df = ptComparator.compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, - summary_compare, md5_compare) + ptComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, + auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) - if not md5_compare and not summary_compare: - result_df = ptComparator._do_multi_process(input_parma, result_df) - find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) - highlight_rows_xlsx(result_df, highlight_dict, file_path) - if auto_analyze: - advisor = Advisor(result_df, output_path) - advisor.analysis() -- Gitee From 92e35d3a4dfb0c0c024d629abc2996e1bd59b8f6 Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 16:45:56 +0800 Subject: [PATCH 030/160] 82 --- .../compare_bean/profiling_info.py | 77 ++++++++++++++----- .../profiling_parser/gpu_profiling_parser.py | 18 +++++ .../profiling_parser/npu_profiling_parser.py | 20 ++++- .../compare_bean/test_profiling_info.py | 54 +++++++++---- .../test_gpu_profiling_parser.py | 2 +- 5 files changed, 132 insertions(+), 39 deletions(-) diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index 2b966a449e..16bef2f0f4 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -136,7 +136,15 @@ class ProfilingInfo: @property def vector_total_num(self): return sum((self.vector_num_trans, self.vector_num_notrans)) - + def trans_to_s(self): + self.cube_time /= 10 ** 3 + self.vec_time /= 10 ** 3 + self.conv_time_fwd /= 10 ** 3 + self.conv_time_bwd /= 10 ** 3 + self.sdma_time /= 10 ** 3 + self.fa_time_bwd /= 10 ** 3 + self.pa_time /= 10 ** 3 + self.fa_time_fwd /= 10 ** 3 def trans_time_to_s(self): # 新指标单位为ms self.fa_time_fwd_cube /= 10 ** 3 @@ -155,24 +163,6 @@ class ProfilingInfo: self.sdma_time_stream /= 10 ** 3 self.page_attention_time /= 10 ** 3 self.other_cube_time /= 10 ** 3 - - self.cube_time = (self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time) / 1000 - self.vec_time = (self.vector_time_trans + self.vector_time_notrans) / 1000 - self.cube_num = (self.matmul_num_cube + self.matmul_num_vector + self.other_cube_num) - self.vec_num = (self.vector_num_trans + self.vector_num_notrans) - self.sdma_num = (self.sdma_num_tensor_move + self.sdma_num_stream) - self.fa_num_fwd = (self.fa_num_fwd_cube + self.fa_num_fwd_vector) - self.fa_num_bwd = (self.fa_num_bwd_cube + self.fa_num_bwd_vector) - self.pa_num = self.page_attention_num - self.conv_time_fwd = (self.conv_time_fwd_cube + self.conv_time_fwd_vector) / 1000 - self.conv_time_bwd = (self.conv_time_bwd_cube + self.conv_time_bwd_vector) / 1000 - self.conv_num_fwd = (self.conv_num_fwd_cube + self.conv_num_fwd_vector) - self.conv_num_bwd = (self.conv_num_bwd_cube + self.conv_num_bwd_vector) - self.sdma_time = (self.sdma_time_tensor_move + self.sdma_time_stream) / 1000 - self.fa_time_bwd = (self.fa_time_bwd_cube + self.fa_time_bwd_vector) / 1000 - self.pa_time = self.page_attention_time / 1000 - self.fa_time_fwd = (self.fa_time_fwd_cube + self.fa_time_fwd_vector) / 1000 - self.other_time = self.other_time / 10 ** 6 self.compute_time = self.compute_time / 10 ** 6 self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 @@ -180,6 +170,55 @@ class ProfilingInfo: self.e2e_time = self.e2e_time / 10 ** 6 self.scheduling_time = self.scheduling_time / 10 ** 6 self.lccl_time = self.lccl_time / 10 ** 6 + + def calculate_cube_time(self): + self.cube_time = self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time + + def calculate_vec_time(self): + self.vec_time = self.vector_time_trans + self.vector_time_notrans + + def calculate_cube_num(self): + self.cube_num = self.matmul_num_cube + self.matmul_num_vector + self.other_cube_num + + def calculate_vec_num(self): + self.vec_num = self.vector_num_trans + self.vector_num_notrans + + def calculate_sdma_num(self): + self.sdma_num = self.sdma_num_tensor_move + self.sdma_num_stream + + def calculate_fa_num_fwd(self): + self.fa_num_fwd = self.fa_num_fwd_cube + self.fa_num_fwd_vector + + def calculate_fa_num_bwd(self): + self.fa_num_bwd = self.fa_num_bwd_cube + self.fa_num_bwd_vector + + def calculate_pa_num(self): + self.pa_num = self.page_attention_num + + def calculate_pa_time(self): + self.pa_num = self.page_attention_time + + def calculate_conv_time_fwd(self): + self.conv_time_fwd = self.conv_time_fwd_cube + self.conv_time_fwd_vector + + def calculate_conv_time_bwd(self): + self.conv_time_bwd = self.conv_time_bwd_cube + self.conv_time_bwd_vector + + def calculate_conv_num_fwd(self): + self.conv_num_fwd = self.conv_num_fwd_cube + self.conv_num_fwd_vector + + def calculate_conv_num_bwd(self): + self.conv_num_bwd = self.conv_num_bwd_cube + self.conv_num_bwd_vector + + def calculate_sdma_time(self): + self.sdma_time = self.sdma_time_tensor_move + self.sdma_time_stream + + def calculate_fa_time_fwd(self): + self.fa_time_fwd = self.fa_time_fwd_cube + self.fa_time_fwd_vector + + def calculate_fa_time_bwd(self): + self.fa_time_bwd = self.fa_time_bwd_cube + self.fa_time_bwd_vector + def calculate_other_time(self): self.other_time = max( [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 175b77603c..4d4734a4cb 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -58,12 +58,30 @@ class GPUProfilingParser(BaseProfilingParser): for record in addr_dict.values(): self._result_data.update_memory_list(record) + gpu + def _update_overall_metrics(self): self._calculate_performance_time() self.__parse_memory_reserved() self._result_data.overall_metrics.trans_time_to_s() + self._result_data.overall_metrics.calculate_cube_time() self._result_data.overall_metrics.calculate_vec_time() + self._result_data.overall_metrics.calculate_cube_num() + self._result_data.overall_metrics.calculate_vec_num() + self._result_data.overall_metrics.calculate_sdma_num() + self._result_data.overall_metrics.calculate_fa_num_fwd() + self._result_data.overall_metrics.calculate_fa_num_bwd() + self._result_data.overall_metrics.calculate_pa_num() + self._result_data.overall_metrics.calculate_pa_time() + self._result_data.overall_metrics.calculate_conv_time_fwd() + self._result_data.overall_metrics.calculate_conv_time_bwd() + self._result_data.overall_metrics.calculate_conv_num_fwd() + self._result_data.overall_metrics.calculate_conv_num_bwd() + self._result_data.overall_metrics.calculate_sdma_time() + self._result_data.overall_metrics.calculate_fa_time_fwd() + self._result_data.overall_metrics.calculate_fa_time_bwd() self._result_data.overall_metrics.calculate_schedule_time() + self._result_data.overall_metrics.trans_to_s() def _calculate_performance_time(self): min_ts = sys.float_info.max diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 3c3f054273..1d00332b46 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -159,10 +159,26 @@ class NPUProfilingParser(BaseProfilingParser): self.__add_overlap_analysis_time() self._picking_notify_wait_event_and_not_overlap_event() self.__add_overlap_wait_time() + self._result_data.overall_metrics.calculate_schedule_time() self._result_data.overall_metrics.trans_time_to_s() + self._result_data.overall_metrics.calculate_cube_time() + self._result_data.overall_metrics.calculate_vec_time() + self._result_data.overall_metrics.calculate_cube_num() + self._result_data.overall_metrics.calculate_vec_num() + self._result_data.overall_metrics.calculate_sdma_num() + self._result_data.overall_metrics.calculate_fa_num_fwd() + self._result_data.overall_metrics.calculate_fa_num_bwd() + self._result_data.overall_metrics.calculate_pa_num() + self._result_data.overall_metrics.calculate_pa_time() + self._result_data.overall_metrics.calculate_conv_time_fwd() + self._result_data.overall_metrics.calculate_conv_time_bwd() + self._result_data.overall_metrics.calculate_conv_num_fwd() + self._result_data.overall_metrics.calculate_conv_num_bwd() + self._result_data.overall_metrics.calculate_sdma_time() + self._result_data.overall_metrics.calculate_fa_time_fwd() + self._result_data.overall_metrics.calculate_fa_time_bwd() + self._result_data.overall_metrics.trans_to_s() self._result_data.overall_metrics.calculate_other_time() - self._result_data.overall_metrics.calculate_schedule_time() - self._update_bandwidth() def _picking_notify_wait_event_and_not_overlap_event(self): self.notify_event_cache = [] diff --git a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py index dc85b0af0a..e6d543a773 100644 --- a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py +++ b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py @@ -36,40 +36,60 @@ class TestProfilingInfo(unittest.TestCase): def test_update_fa_fwd_info(self): info = ProfilingInfo("NPU") - info.update_fa_fwd_info(5) - info.update_fa_fwd_info(5) + info.fa_time_fwd_cube = 5 + info.fa_time_fwd_vector = 5 + info.fa_num_fwd_cube = 1 + info.fa_num_fwd_vector = 1 + info.calculate_fa_time_fwd() + info.calculate_fa_num_fwd() self.assertEqual(info.fa_time_fwd, 10) self.assertEqual(info.fa_num_fwd, 2) def test_update_fa_bwd_info(self): info = ProfilingInfo("NPU") - info.update_fa_bwd_info(5) - info.update_fa_bwd_info(5) + info.fa_time_bwd_cube = 5 + info.fa_time_bwd_vector = 5 + info.fa_num_bwd_cube = 1 + info.fa_num_bwd_vector = 1 + info.calculate_fa_time_bwd() + info.calculate_fa_num_bwd() self.assertEqual(info.fa_time_bwd, 10) self.assertEqual(info.fa_num_bwd, 2) def test_update_sdma_info(self): info = ProfilingInfo("NPU") - info.update_sdma_info(5) - self.assertEqual(info.sdma_time, 5) - self.assertEqual(info.sdma_num, 1) - info.update_sdma_info(5, 5) + info.sdma_time_tensor_move = 5 + info.sdma_time_stream = 5 + info.sdma_num_tensor_move = 5 + info.sdma_num_stream = 5 + info.calculate_sdma_time() + info.calculate_sdma_num() self.assertEqual(info.sdma_time, 10) - self.assertEqual(info.sdma_num, 6) + self.assertEqual(info.sdma_num, 10) def test_update_cube_info(self): info = ProfilingInfo("NPU") - info.update_cube_info(5) - info.update_cube_info(5) - self.assertEqual(info.cube_time, 10) - self.assertEqual(info.cube_num, 2) + info.matmul_time_cube = 1 + info.matmul_time_vector = 1 + info.other_cube_time = 1 + info.matmul_num_cube = 5 + info.matmul_num_vector = 5 + info.other_cube_num = 5 + info.calculate_cube_time() + info.calculate_cube_num() + self.assertEqual(info.cube_time, 3) + self.assertEqual(info.cube_num, 15) def test_update_vec_info(self): info = ProfilingInfo("NPU") - info.update_vec_info(5) - info.update_vec_info(5) - self.assertEqual(info.vec_time, 10) - self.assertEqual(info.vec_num, 2) + info.vector_time_trans = 1 + info.vector_time_notrans = 1 + info.vector_num_trans = 2 + info.vector_num_notrans = 2 + info.calculate_vec_time() + info.calculate_vec_num() + self.assertEqual(info.vec_time, 2) + self.assertEqual(info.vec_num, 4) def test_set_compute_time(self): info = ProfilingInfo("NPU") diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index d7cb3d0588..50d60f39f6 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -77,7 +77,7 @@ class TestGpuProfilingParser(unittest.TestCase): res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) self.assertEqual(res._result_data.overall_metrics.sdma_time, 4) - self.assertEqual(res._result_data.overall_metrics.sdma_num, 4) + self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) self.assertEqual(res._result_data.overall_metrics.cube_time, 1) self.assertEqual(res._result_data.overall_metrics.cube_num, 1) self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 2) -- Gitee From 582a0992cf2436ec6d669921f66036b6d97fe43d Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 17:11:46 +0800 Subject: [PATCH 031/160] 82 --- .../compare_backend/compare_bean/profiling_info.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index 16bef2f0f4..71fb3c4a88 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -196,7 +196,7 @@ class ProfilingInfo: self.pa_num = self.page_attention_num def calculate_pa_time(self): - self.pa_num = self.page_attention_time + self.pa_num = self.page_attention_num def calculate_conv_time_fwd(self): self.conv_time_fwd = self.conv_time_fwd_cube + self.conv_time_fwd_vector -- Gitee From b969d25d4c5f12f254472cfeca4e932b4efa44e8 Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 17:33:51 +0800 Subject: [PATCH 032/160] 82 --- .../compare_bean/test_profiling_info.py | 112 +++++++++--------- 1 file changed, 56 insertions(+), 56 deletions(-) diff --git a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py index e6d543a773..01cd0104dc 100644 --- a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py +++ b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py @@ -34,62 +34,62 @@ class TestProfilingInfo(unittest.TestCase): info.calculate_schedule_time() self.assertEqual(info.scheduling_time, 2) - def test_update_fa_fwd_info(self): - info = ProfilingInfo("NPU") - info.fa_time_fwd_cube = 5 - info.fa_time_fwd_vector = 5 - info.fa_num_fwd_cube = 1 - info.fa_num_fwd_vector = 1 - info.calculate_fa_time_fwd() - info.calculate_fa_num_fwd() - self.assertEqual(info.fa_time_fwd, 10) - self.assertEqual(info.fa_num_fwd, 2) - - def test_update_fa_bwd_info(self): - info = ProfilingInfo("NPU") - info.fa_time_bwd_cube = 5 - info.fa_time_bwd_vector = 5 - info.fa_num_bwd_cube = 1 - info.fa_num_bwd_vector = 1 - info.calculate_fa_time_bwd() - info.calculate_fa_num_bwd() - self.assertEqual(info.fa_time_bwd, 10) - self.assertEqual(info.fa_num_bwd, 2) - - def test_update_sdma_info(self): - info = ProfilingInfo("NPU") - info.sdma_time_tensor_move = 5 - info.sdma_time_stream = 5 - info.sdma_num_tensor_move = 5 - info.sdma_num_stream = 5 - info.calculate_sdma_time() - info.calculate_sdma_num() - self.assertEqual(info.sdma_time, 10) - self.assertEqual(info.sdma_num, 10) - - def test_update_cube_info(self): - info = ProfilingInfo("NPU") - info.matmul_time_cube = 1 - info.matmul_time_vector = 1 - info.other_cube_time = 1 - info.matmul_num_cube = 5 - info.matmul_num_vector = 5 - info.other_cube_num = 5 - info.calculate_cube_time() - info.calculate_cube_num() - self.assertEqual(info.cube_time, 3) - self.assertEqual(info.cube_num, 15) - - def test_update_vec_info(self): - info = ProfilingInfo("NPU") - info.vector_time_trans = 1 - info.vector_time_notrans = 1 - info.vector_num_trans = 2 - info.vector_num_notrans = 2 - info.calculate_vec_time() - info.calculate_vec_num() - self.assertEqual(info.vec_time, 2) - self.assertEqual(info.vec_num, 4) + # def test_update_fa_fwd_info(self): + # info = ProfilingInfo("NPU") + # info.fa_time_fwd_cube = 5 + # info.fa_time_fwd_vector = 5 + # info.fa_num_fwd_cube = 1 + # info.fa_num_fwd_vector = 1 + # info.calculate_fa_time_fwd() + # info.calculate_fa_num_fwd() + # self.assertEqual(info.fa_time_fwd, 10) + # self.assertEqual(info.fa_num_fwd, 2) + # + # def test_update_fa_bwd_info(self): + # info = ProfilingInfo("NPU") + # info.fa_time_bwd_cube = 5 + # info.fa_time_bwd_vector = 5 + # info.fa_num_bwd_cube = 1 + # info.fa_num_bwd_vector = 1 + # info.calculate_fa_time_bwd() + # info.calculate_fa_num_bwd() + # self.assertEqual(info.fa_time_bwd, 10) + # self.assertEqual(info.fa_num_bwd, 2) + # + # def test_update_sdma_info(self): + # info = ProfilingInfo("NPU") + # info.sdma_time_tensor_move = 5 + # info.sdma_time_stream = 5 + # info.sdma_num_tensor_move = 5 + # info.sdma_num_stream = 5 + # info.calculate_sdma_time() + # info.calculate_sdma_num() + # self.assertEqual(info.sdma_time, 10) + # self.assertEqual(info.sdma_num, 10) + # + # def test_update_cube_info(self): + # info = ProfilingInfo("NPU") + # info.matmul_time_cube = 1 + # info.matmul_time_vector = 1 + # info.other_cube_time = 1 + # info.matmul_num_cube = 5 + # info.matmul_num_vector = 5 + # info.other_cube_num = 5 + # info.calculate_cube_time() + # info.calculate_cube_num() + # self.assertEqual(info.cube_time, 3) + # self.assertEqual(info.cube_num, 15) + # + # def test_update_vec_info(self): + # info = ProfilingInfo("NPU") + # info.vector_time_trans = 1 + # info.vector_time_notrans = 1 + # info.vector_num_trans = 2 + # info.vector_num_notrans = 2 + # info.calculate_vec_time() + # info.calculate_vec_num() + # self.assertEqual(info.vec_time, 2) + # self.assertEqual(info.vec_num, 4) def test_set_compute_time(self): info = ProfilingInfo("NPU") -- Gitee From 15ad414a912ba929f150c6fa92565f1df5d1215c Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 17:51:56 +0800 Subject: [PATCH 033/160] 82 --- .../profiling_parser/gpu_profiling_parser.py | 2 - .../compare_bean/test_profiling_info.py | 112 +++++++++--------- 2 files changed, 56 insertions(+), 58 deletions(-) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 4d4734a4cb..bf5d398460 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -58,8 +58,6 @@ class GPUProfilingParser(BaseProfilingParser): for record in addr_dict.values(): self._result_data.update_memory_list(record) - gpu - def _update_overall_metrics(self): self._calculate_performance_time() self.__parse_memory_reserved() diff --git a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py index 01cd0104dc..e6d543a773 100644 --- a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py +++ b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py @@ -34,62 +34,62 @@ class TestProfilingInfo(unittest.TestCase): info.calculate_schedule_time() self.assertEqual(info.scheduling_time, 2) - # def test_update_fa_fwd_info(self): - # info = ProfilingInfo("NPU") - # info.fa_time_fwd_cube = 5 - # info.fa_time_fwd_vector = 5 - # info.fa_num_fwd_cube = 1 - # info.fa_num_fwd_vector = 1 - # info.calculate_fa_time_fwd() - # info.calculate_fa_num_fwd() - # self.assertEqual(info.fa_time_fwd, 10) - # self.assertEqual(info.fa_num_fwd, 2) - # - # def test_update_fa_bwd_info(self): - # info = ProfilingInfo("NPU") - # info.fa_time_bwd_cube = 5 - # info.fa_time_bwd_vector = 5 - # info.fa_num_bwd_cube = 1 - # info.fa_num_bwd_vector = 1 - # info.calculate_fa_time_bwd() - # info.calculate_fa_num_bwd() - # self.assertEqual(info.fa_time_bwd, 10) - # self.assertEqual(info.fa_num_bwd, 2) - # - # def test_update_sdma_info(self): - # info = ProfilingInfo("NPU") - # info.sdma_time_tensor_move = 5 - # info.sdma_time_stream = 5 - # info.sdma_num_tensor_move = 5 - # info.sdma_num_stream = 5 - # info.calculate_sdma_time() - # info.calculate_sdma_num() - # self.assertEqual(info.sdma_time, 10) - # self.assertEqual(info.sdma_num, 10) - # - # def test_update_cube_info(self): - # info = ProfilingInfo("NPU") - # info.matmul_time_cube = 1 - # info.matmul_time_vector = 1 - # info.other_cube_time = 1 - # info.matmul_num_cube = 5 - # info.matmul_num_vector = 5 - # info.other_cube_num = 5 - # info.calculate_cube_time() - # info.calculate_cube_num() - # self.assertEqual(info.cube_time, 3) - # self.assertEqual(info.cube_num, 15) - # - # def test_update_vec_info(self): - # info = ProfilingInfo("NPU") - # info.vector_time_trans = 1 - # info.vector_time_notrans = 1 - # info.vector_num_trans = 2 - # info.vector_num_notrans = 2 - # info.calculate_vec_time() - # info.calculate_vec_num() - # self.assertEqual(info.vec_time, 2) - # self.assertEqual(info.vec_num, 4) + def test_update_fa_fwd_info(self): + info = ProfilingInfo("NPU") + info.fa_time_fwd_cube = 5 + info.fa_time_fwd_vector = 5 + info.fa_num_fwd_cube = 1 + info.fa_num_fwd_vector = 1 + info.calculate_fa_time_fwd() + info.calculate_fa_num_fwd() + self.assertEqual(info.fa_time_fwd, 10) + self.assertEqual(info.fa_num_fwd, 2) + + def test_update_fa_bwd_info(self): + info = ProfilingInfo("NPU") + info.fa_time_bwd_cube = 5 + info.fa_time_bwd_vector = 5 + info.fa_num_bwd_cube = 1 + info.fa_num_bwd_vector = 1 + info.calculate_fa_time_bwd() + info.calculate_fa_num_bwd() + self.assertEqual(info.fa_time_bwd, 10) + self.assertEqual(info.fa_num_bwd, 2) + + def test_update_sdma_info(self): + info = ProfilingInfo("NPU") + info.sdma_time_tensor_move = 5 + info.sdma_time_stream = 5 + info.sdma_num_tensor_move = 5 + info.sdma_num_stream = 5 + info.calculate_sdma_time() + info.calculate_sdma_num() + self.assertEqual(info.sdma_time, 10) + self.assertEqual(info.sdma_num, 10) + + def test_update_cube_info(self): + info = ProfilingInfo("NPU") + info.matmul_time_cube = 1 + info.matmul_time_vector = 1 + info.other_cube_time = 1 + info.matmul_num_cube = 5 + info.matmul_num_vector = 5 + info.other_cube_num = 5 + info.calculate_cube_time() + info.calculate_cube_num() + self.assertEqual(info.cube_time, 3) + self.assertEqual(info.cube_num, 15) + + def test_update_vec_info(self): + info = ProfilingInfo("NPU") + info.vector_time_trans = 1 + info.vector_time_notrans = 1 + info.vector_num_trans = 2 + info.vector_num_notrans = 2 + info.calculate_vec_time() + info.calculate_vec_num() + self.assertEqual(info.vec_time, 2) + self.assertEqual(info.vec_num, 4) def test_set_compute_time(self): info = ProfilingInfo("NPU") -- Gitee From 4c01fc9b4c1f82ef7a423bc49866cbdad44c0367 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 1 Aug 2024 20:40:46 +0800 Subject: [PATCH 034/160] add tensor_transport_layer for online api_accuracy_checker --- .../msprobe/core/common/const.py | 3 + .../api_accuracy_checker/common/config.py | 10 +- .../pytorch/api_accuracy_checker/config.yaml | 7 +- .../tensor_transport_layer/__init__.py | 0 .../tensor_transport_layer/attl.py | 187 +++++++++++ .../tensor_transport_layer/client.py | 310 ++++++++++++++++++ .../tensor_transport_layer/device_dispatch.py | 113 +++++++ .../tensor_transport_layer/server.py | 204 ++++++++++++ .../msprobe/pytorch/pt_config.py | 15 +- 9 files changed, 846 insertions(+), 3 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/__init__.py create mode 100644 debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py create mode 100644 debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py create mode 100644 debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py create mode 100644 debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index df82455a67..119ad7d626 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -20,6 +20,9 @@ class Const: DEFAULT_PATH = './' WHITE_LIST = 'white_list' BLACK_LIST = 'black_list' + IS_ONLINE = False + NFS_PATH = "" + IS_BENCHMARK_DEVICE = True # dump mode ALL = "all" diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py index 760e7c862d..3c61624b60 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py @@ -24,7 +24,13 @@ class Config: 'white_list': list, 'black_list': list, 'error_data_path': str, - 'precision': int + 'precision': int, + 'is_online': bool, + 'nfs_path': str, + 'is_benchmark_device': bool, + 'host': str, + 'port': int, + 'rank_list': list } if key not in validators: raise ValueError(f"{key} must be one of {validators.keys()}") @@ -38,6 +44,8 @@ class Config: RunUTConfig.check_filter_list_config(key, value) if key == 'error_data_path': RunUTConfig.check_error_data_path_config(value) + if key == 'nfs_path': + RunUTConfig.check_nfs_path_config(value) return value diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml index 2dac535dc0..c2bb847b79 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml @@ -2,4 +2,9 @@ white_list: [] black_list: [] error_data_path: './' precision: 14 - \ No newline at end of file +is_online: False +nfs_path: "" +is_benchmark_device: True +host: "" +port: -1 +rank_list: [0] diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/__init__.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py new file mode 100644 index 0000000000..c4d5b76c53 --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -0,0 +1,187 @@ +import io +import os.path +import time +import re +from pathlib import Path +from multiprocessing import Queue +from typing import Optional, Union, Dict, Any +from collections import namedtuple +from dataclasses import dataclass + +import torch + +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.client import TCPClient +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.server import TCPServer +from msprobe.pytorch.common.utils import logger +from msprobe.core.common.utils import remove_path + + +ApiData = namedtuple('ApiData', ['name', 'args', 'kwargs', 'result', 'step', 'rank'], + defaults=['unknown', None, None, None, 0, 0]) +BufferType = Union[ApiData, Dict[str, Any], str] # Union[Tensor, Tuple[Optional[Tensor]]] + + +@dataclass +class ATTLConfig: + is_benchmark_device: bool + connect_ip: str + connect_port: int + # storage_config + nfs_path: str = None + check_sum: bool = True + queue_size: int = 50 + + +class ATTL: + def __init__(self, session_id: str, session_config: ATTLConfig, need_dump=True) -> None: + self.session_id = session_id + self.session_config = session_config + self.logger = logger + self.socket_manager = None + self.data_queue = Queue(maxsize=50) + self.dequeue_list = [] + self.message_end = False + self.kill_progress = False + self.check_attl_config() + if self.session_config.nfs_path: + self.nfs_path = Path(self.session_config.nfs_path) + elif self.session_config.is_benchmark_device: + + self.socket_manager = TCPServer(self.session_config.connect_port, + self.data_queue, + self.session_config.check_sum) + self.socket_manager.start() + elif need_dump: + self.socket_manager = TCPClient(self.session_config.connect_ip, + self.session_config.connect_port, + self.session_config.check_sum) + self.socket_manager.start() + + def check_attl_config(self): + if self.session_config.nfs_path: + if os.path.exists(self.session_config.nfs_path): + return + else: + raise Exception(f"nfs path {self.session_config.nfs_path} doesn't exists.") + ipv4_pattern = "([1-9]?\d|1\d{2}|2[0-4]\d|25[0-5])(\.([1-9]?\d|1\d{2}|2[0-4]\d|25[0-5])){3}$" + if not re.match(ipv4_pattern, self.session_config.connect_ip): + raise Exception(f"host {self.session_config.connect_ip} is invalid.") + if not (0 < self.session_config.connect_port <= 65535): + raise Exception(f"port {self.session_config.connect_port} is invalid.") + + def stop_serve(self): + if isinstance(self.socket_manager, TCPServer): + self.socket_manager.stop() + + def send(self, buffer: BufferType) -> None: + """ + npu major in 'send' (client) + """ + # know receiver receive and go next + if isinstance(buffer, ApiData): + buffer = move2target_device(buffer, torch.device('cpu')) + + if 'device' in buffer.kwargs: + buffer.kwargs.pop('device') + rank = buffer.rank if hasattr(buffer, "rank") else 0 + step = buffer.step if hasattr(buffer, "step") else 0 + io_buff = io.BytesIO() + torch.save(buffer, io_buff) + data = io_buff.getvalue() + self.socket_manager.add_to_sending_queue(data, rank=rank, step=step) + + def recv(self, timeout_ms=0) -> Optional[BufferType]: + buffer = None + while buffer is None: + if timeout_ms > 0: + time.sleep(timeout_ms / 1000.0) + if buffer is None and not self.data_queue.empty(): + buffer = self.data_queue.get() + break + if buffer is None and timeout_ms > 0: # timeout is the only case we give up and return None + break + if self.message_end and self.data_queue.empty(): + buffer = b"KILL_CONFIRM" + self.kill_progress = True + break + time.sleep(0.1) # waiting outside the lock before next attempt + if buffer is None: + # this is a result of a timeout + self.logger.info(f"RECEIVE API DATA TIMED OUT") + else: + if buffer == b"STOP_": + return "STOP_" + if buffer == b"KILL_": + self.message_end = True + return "STOP_" + if buffer == b"KILL_CONFIRM": + self.kill_progress = True + return "KILL_" + buffer = io.BytesIO(buffer) + try: + buffer = torch.load(buffer, map_location="cpu") + except Exception as e: + self.logger.error("there is something error. please check it. %s", e) + if isinstance(buffer, bytes): + return None + if isinstance(buffer, str): + return buffer + + return buffer + + def upload(self, buffer: BufferType): + if isinstance(buffer, ApiData): + buffer = move2target_device(buffer, torch.device('cpu')) + file_path = os.path.join(self.session_config.nfs_path, buffer.name + ".pt") + else: + file_path = os.path.join(self.session_config.nfs_path, buffer + f"_{int(time.time())}") + + torch.save(buffer, file_path) + + def download(self): + for file_type in ("start*", "*.pt", "end*"): + cur_file = next(self.nfs_path.glob(file_type), None) + if cur_file is not None: + break + + if cur_file is None: + return None + else: + buffer = torch.load(cur_file) + remove_path(cur_file) + return buffer + + +def move2device_exec(obj, device): + if isinstance(obj, (tuple, list)): + data_list = [move2device_exec(val, device) for val in obj] + return data_list if isinstance(obj, list) else tuple(data_list) + if isinstance(obj, dict): + return {key: move2device_exec(val, device) for key, val in obj.items()} + elif isinstance(obj, torch.Tensor): + obj = obj.detach() + if obj.device.type != device: + obj = obj.to(device) + return obj + elif "return_types" in str(type(obj)): + return move2device_exec(tuple(obj), device) + elif isinstance(obj, torch._C.device): + return torch.device(device) + else: + return obj + + +def move2target_device(buffer: ApiData, target_device): + # handle args + new_args = move2device_exec(buffer.args, target_device) + + # handle kwargs + new_kwargs = move2device_exec(buffer.kwargs, target_device) + + # handle result + new_results = move2device_exec(buffer.result, target_device) + + if target_device == torch.device('cpu') or target_device == "cpu": + return ApiData(buffer.name, tuple(new_args), new_kwargs, new_results, buffer.step, buffer.rank) + else: + return ApiData(buffer.name, tuple(new_args), new_kwargs, buffer.result, buffer.step, buffer.rank) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py new file mode 100644 index 0000000000..5a436915cd --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py @@ -0,0 +1,310 @@ +import hashlib +import io +import struct +import time +import os +import signal +import sys +from queue import Queue +from threading import Thread +from typing import Union + +from twisted.internet import reactor, protocol, endpoints +from twisted.protocols.basic import FileSender + +from msprobe.pytorch.common.utils import logger + + +class TCPDataItem: + def __init__(self, data, + sequence_number: int, + rank: int = 0, + step: int = 0): + self.raw_data = data + self.sequence_number = sequence_number + self.rank = rank + self.step = step + self.retry_times = 0 + self.pending_time = 0 + self.busy_time = 0 + + +class TCPClient: + MAX_SENDING_QUEUE_SIZE = 20 + ACK_SUCCESS = b"OK___" + ACK_ERROR = b"ERROR" + ACK_BUSY = b"BUSY_" + ACK_STOP = b"STOP_" + ACK_STOP_CONFIRM = b"OVER_" + ACK_KILL_PROCESS = b"KILL_" + + QUEUE_PENDING_TIME = 600 # 队列10分钟都处于阻塞状态，则终止sending进程 + RESEND_RETRY_TIMES = 2 # 最大重传数 + RESEND_TIMER_TIME = 5 # 接收ACK超时定时器 + RESEND_PENDING_TIME = 60 # 连续pending时间超过1分钟则放弃该数据 + + def __init__(self, host="localhost", port=8000, check_sum=False): + self.send_queue = Queue(self.MAX_SENDING_QUEUE_SIZE) + self.resend_dict = dict() + self.host = host + self.port = port + self.factory = None + self.sequence_number = 0 + self.signal_exit = False + self.tcp_manager = ClientProtocol(ack_queue_size=100, + chunk_size=655360, + check_sum=check_sum) + self.send_thread = Thread(target=self._sending_queue_data) + self.send_thread.setDaemon(True) + self.send_thread.start() + self.destroy_thread = Thread(target=self._destroy_queue_data) + self.destroy_thread.setDaemon(True) + self.destroy_thread.start() + + @staticmethod + def run_reactor(): + reactor.run(installSignalHandlers=False) + + def start(self): + def conn_callback(cur_protocol): + if cur_protocol.transport and cur_protocol.transport.getPeer().host == self.host: + logger.debug(f"Process: {os.getpid()} connects to server successfully.") + else: + logger.warning(f"Process: {os.getpid()} fails to connect to server. ") + raise ConnectionError(f"Failed to connect to {self.host}.") + + def conn_err_callback(failure): + self.signal_exit = True + time.sleep(1) + reactor.stop() + logger.error(f"Failed to connected {self.host} {self.port}. Reason is {failure.getErrorMessage()}") + os.kill(os.getpid(), signal.SIGKILL) + os.kill(os.getppid(), signal.SIGKILL) + + def cur_protocol(): + return self.tcp_manager + + self.factory = MessageClientFactory() + self.factory.protocol = cur_protocol + + endpoint = endpoints.TCP4ClientEndpoint(reactor, self.host, self.port) + d = endpoint.connect(self.factory) + d.addCallback(conn_callback) + d.addErrback(conn_err_callback) + + reactor_thread = Thread(target=self.run_reactor, daemon=True) + reactor_thread.start() + + def send_after_queue_empty(self, data): + while not self._ready_to_exit(): + self.add_to_sending_queue(data) + time.sleep(2) + + def check_client_alive(self): + return self.factory.num_connections > 0 + + def stop(self): + self.tcp_manager.connection_timeout() + + def send_stop_signal(self): + self.send_after_queue_empty(self.ACK_STOP) + while not self._ready_to_exit(): + if not self.check_client_alive(): + break + time.sleep(1) + while not self.tcp_manager.kill_process: + time.sleep(1) + + def add_to_sending_queue(self, data: Union[bytes, TCPDataItem], rank: int = 0, step: int = 0): + if self._ready_to_exit(): + return + + send_data = data + if not isinstance(data, TCPDataItem): + send_data = TCPDataItem(data=data, + sequence_number=self.sequence_number, + rank=rank, + step=step) + self.sequence_number += 1 + + self.send_queue.put(send_data, block=True, timeout=self.QUEUE_PENDING_TIME) + + def _send_data(self, data: TCPDataItem): + self.tcp_manager.send_wrapped_data(data.raw_data, + sequence_number=data.sequence_number, + rank=data.rank, + step=data.step + ) + + def _sending_queue_data(self): + while True: + if not self.tcp_manager.is_connected: + continue + + while self.send_queue.qsize() > 0: + if self._ready_to_exit(): + break + if len(self.resend_dict) < self.MAX_SENDING_QUEUE_SIZE: + data_obj = self.send_queue.get() + self._send_data(data_obj) + resend_key = str(data_obj.sequence_number) + "_" + str(data_obj.rank) + "_" + str(data_obj.step) + if resend_key not in self.resend_dict.keys(): + # Send data for the first time + self.resend_dict[resend_key] = data_obj + else: + time.sleep(0.1) + + if self._ready_to_exit(): + logger.debug("Successfully close sending process.") + break + time.sleep(0.1) + + def _destroy_queue_data(self): + while True: + if self._ready_to_exit(): + break + + while len(self.resend_dict) > 0 and self.tcp_manager.ack_queue.qsize() > 0: + ack_info, seq_number, rank, step = self.tcp_manager.ack_queue.get() + obj_key = str(seq_number) + "_" + str(rank) + "_" + str(step) + current_item = self.resend_dict.get(obj_key) + + if current_item is None: + continue + + if ack_info == self.ACK_SUCCESS: + self.resend_dict.pop(obj_key) + elif ack_info == self.ACK_BUSY: + logger.debug("RECV BUSY ACK") + if current_item.busy_time > 5: + self._resend_data(current_item) + else: + current_item.busy_time += 1 + elif ack_info == self.ACK_ERROR: + logger.debug("RECV ERROR ACK") + self._resend_data(current_item) + elif ack_info == self.ACK_STOP_CONFIRM: + logger.debug("RECV STOP ACK") + self.factory.num_connections -= 1 + + break + + time.sleep(0.1) + + def _resend_data(self, data: TCPDataItem): + if data.retry_times < self.RESEND_RETRY_TIMES: + data.retry_times += 1 + logger.debug(f"Resend data seq number: {data.sequence_number}") + self.add_to_sending_queue(data) + else: + self.resend_dict.pop(data.sequence_number) + logger.debug(f"SKIP send sequence number {data.sequence_number} after retry {data.retry_times} times!") + + def _pending_data(self, data: TCPDataItem): + if data.pending_time >= self.RESEND_PENDING_TIME: + self.resend_dict.pop(data.sequence_number) + logger.debug(f"SKIP send sequence number {data.sequence_number} after pending {data.pending_time} times!") + return + + # wait time is 100MB per second + pending_time = max(1, len(data.raw_data) // (2 ** 20 * 50)) + data.pending_time += pending_time + time.sleep(pending_time) + + def _ready_to_exit(self): + return self.signal_exit or self.tcp_manager.signal_exit + + +class ClientProtocol(protocol.Protocol): + TIMEOUT = 60 * 10 + + def __init__(self, ack_queue_size=100, chunk_size=65536, check_sum=False): + self.buffer = io.BytesIO() + self.is_connected = False + self.check_sum = check_sum + self.tell = 0 + self.ack_queue = Queue(maxsize=ack_queue_size) + self.file_sender = FileSender() + self.file_sender.CHUNK_SIZE = chunk_size + self.signal_exit = False + self.defer = None + self.kill_process = False + + def dataReceived(self, data): + if self.timeout_call.active(): + self.timeout_call.reset(self.TIMEOUT) + + self.buffer.seek(0, 2) + self.buffer.write(data) + self.buffer.seek(self.tell) + while True: + if len(self.buffer.getvalue()) >= 29: # 5 + 8 * 3 + ack = self.buffer.read(5) + seq_number = struct.unpack('!Q', self.buffer.read(8))[0] + rank = struct.unpack('!Q', self.buffer.read(8))[0] + step = struct.unpack('!Q', self.buffer.read(8))[0] + if ack == b"KILL_": + self.kill_process = True + logger.debug(f"接收到KILL信号, PID {os.getpid()}") + if ack == b"OVER_": + self.factory.num_connections -= 1 + self.tell += 29 + if not self.ack_queue.full(): + self.ack_queue.put((ack, seq_number, rank, step)) + self.buffer = io.BytesIO(self.buffer.getvalue()[self.tell:]) + self.tell = 0 + else: + time.sleep(0.1) + else: + break + + def send_wrapped_data(self, data, sequence_number: int = 0, rank: int = 0, step: int = 0): + length = len(data) + md5_hash = hashlib.md5(data).hexdigest() if self.check_sum else "" + while True: + if self.defer is None or self.defer.called: + self.defer = self.send_large_data( + length.to_bytes(8, byteorder='big') + + sequence_number.to_bytes(8, byteorder='big') + + rank.to_bytes(8, byteorder='big') + + step.to_bytes(8, byteorder='big') + + md5_hash.encode() + + data) + break + time.sleep(0.01) + + def send_large_data(self, data): + d = self.file_sender.beginFileTransfer(io.BytesIO(data), self.transport) + return d + + def connection_timeout(self): + if self.factory.num_connections <= 0: + return + + self.factory.num_connections -= 1 + logger.debug(f"超时退出{self.transport.addr}, PID {os.getpid()}") + self.transport.loseConnection() + + def connectionMade(self): + self.timeout_call = reactor.callLater(self.TIMEOUT, self.connection_timeout) + self.is_connected = True + self.factory.num_connections += 1 + logger.info("successfully connect server") + + def connectionLost(self, reason): + self.signal_exit = True + self.factory.num_connections -= 1 + logger.info("Lost connection with server") + + +class MessageClientFactory(protocol.ClientFactory): + def __init__(self): + self.num_connections = 0 + + def clientConnectionFailed(self, connector, reason): + logger.info(f"Fail to connection with server: {reason.getErrorMessage()}") + reactor.stop() + + def clientConnectionLost(self, connector, reason): + logger.info(f"Client lost connection with server: {reason.getErrorMessage()}") + reactor.stop() diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py new file mode 100644 index 0000000000..cbc1b76fd8 --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py @@ -0,0 +1,113 @@ +import time + +import torch +import torch.multiprocessing as mp + +from msprobe.core.common.const import Const +from msprobe.pytorch.common.utils import logger +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.attl import move2target_device + + +def run_ut_process(xpu_id, compare, consumer_queue, func, config): + """ When consumer_queue(shared with ConsumerDispatcher) is not empty, consume api data from consumer_queue. + :param xpu_id: int + :param compare: instance of Comparator + :param consumer_queue: shared queues of ConsumerDispatcher + :param func: run_touch_api_online + :param config: run_ut_config + :return: + """ + device = torch.device(f'cuda:{xpu_id}') + + while True: + if consumer_queue.empty(): + time.sleep(0.1) + continue + + api_data = consumer_queue.get() + if api_data == "KILL_": + # current consumer finish + return + + api_full_name = api_data.name + api_data = move2target_device(api_data, device) + try: + data_info = func(api_full_name, api_data, config.backward_content) + logger.debug(f"success exec in device {api_full_name}") + is_fwd_success, is_bwd_success = compare.compare_output(api_full_name, data_info) + logger.info(f"running api_full_name {api_full_name} ut, " + f"is_fwd_success: {is_fwd_success}, " + f"is_bwd_success: {is_bwd_success}") + except Exception as err: + [_, api_name, _] = api_full_name.split(Const.SEP) + if "expected scalar type Long" in str(err): + logger.warning(f"API {api_name} not support int32 tensor in CPU, please add {api_name} to CONVERT_API " + f"'int32_to_int64' list in accuracy_tools/msprobe/core/common/const.py file.") + else: + logger.error(f"Run {api_full_name} UT Error: {str(err)}") + + compare.write_summary_csv((api_full_name, "SKIP", "SKIP", str(err), api_data.rank)) + + finally: + torch.cuda.empty_cache() + + +class ConsumerDispatcher: + def __init__(self, compare, capacity=10, num_workers=8, device: str = "gpu") -> None: + self.num_workers = num_workers + self.capacity = capacity + self.compare = compare + self.queues = [] + self.processes = [] + self.reverse_sort = False + self.pool = None + self.device = device + self.data_id = 0 + self.lock = mp.Lock() + self.result_queue = mp.Queue() + mp.set_start_method("spawn", force=True) + + def start(self, handle_func, config): + self.queues = [mp.Queue(maxsize=self.capacity) for _ in range(self.num_workers)] + for xpu_id, q in enumerate(self.queues): + p = mp.Process(name="run_ut_process", target=run_ut_process, + args=(xpu_id, self.compare, q, handle_func, config)) + + p.start() + self.processes.append(p) + logger.info("Successfully start unittest process.") + + def stop(self): + for q in self.queues: + while q.full(): + time.sleep(0.1) + q.put("KILL_") + + for p in self.processes: + p.join() + logger.info("Successfully stop unittest process.") + + def update_consume_queue(self, api_data): + while True: + index = self._choose_max_empty_site_strategy() + if index != -1: + q = self.queues[index] + q.put(api_data) + logger.debug(f"将{api_data.name}调度给第{index}个GPU") + break + logger.debug("所有的UT队列都已满, 阻塞中") + time.sleep(0.1) + + def _choose_max_empty_site_strategy(self): + maximum = 0 + index = -1 + # 充分利用多卡资源，防止任务过多分配给前面的卡 + _reverse = 1 if not self.reverse_sort else -1 + for i, q in enumerate(self.queues[::_reverse]): + empty_site = self.capacity - q.qsize() + if empty_site > maximum: + maximum = empty_site + index = i + index = len(self.queues) - index - 1 if index != -1 and self.reverse_sort else index + self.reverse_sort = not self.reverse_sort + return index diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py new file mode 100644 index 0000000000..6dba190562 --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py @@ -0,0 +1,204 @@ +import struct +import hashlib +import time +import io + +from threading import Thread +from twisted.internet import reactor, protocol, endpoints + +from msprobe.pytorch.common.utils import logger + + +class TCPServer: + def __init__(self, port, shared_queue, check_sum=False) -> None: + self.port = port + self.shared_queue = shared_queue + self.check_sum = check_sum + self.factory = MessageServerFactory() + self.reactor_thread = None + + @staticmethod + def run_reactor(): + reactor.run(installSignalHandlers=False) + + def start(self): + self.factory.protocol = self.build_protocol + endpoint = endpoints.TCP4ServerEndpoint(reactor, self.port) + endpoint.listen(self.factory) + self.reactor_thread = Thread(target=self.run_reactor, daemon=True) + self.reactor_thread.start() + + def is_running(self): + return not self.factory.is_all_connection_closed() + + def stop(self): + self.factory.doStop() + reactor.callFromThread(reactor.sigInt, 2) + self.reactor_thread.join() + + def build_protocol(self): + return ServerProtocol(self.shared_queue, self.check_sum) + + +class ServerProtocol(protocol.Protocol): + ACK_SUCCESS = b"OK___" + ACK_ERROR = b"ERROR" + ACK_BUSY = b"BUSY_" + ACK_STOP = b"STOP_" + ACK_STOP_CONFIRM = b"OVER_" + ACK_KILL_PROCESS = b"KILL_" + + def __init__(self, shared_queue, check_sum=False): + self.start_time = None + self.buffer = io.BytesIO() + self.consumer_queue = shared_queue + self.check_sum = check_sum + self.length_width = 8 + self.md5_width = 32 + self.obj_length = None + self.tell = 0 + self.obj_md5 = None + self.obj_body = None + self.sequence_number = -1 + self.rank = -1 + self.step = -1 + self.sequence_number_dict = dict() + + def connectionMade(self): + self.buffer = io.BytesIO() + self.obj_length = None + self.tell = 0 + self.obj_md5 = None + self.obj_body = None + self.factory.transport_dict[self.transport] = 1 + self.factory.transport_list.append(self.transport) + logger.info(f"Connected to {self.transport.getPeer()} successfully.") + + def connectionLost(self, reason): + self.factory.transport_dict.pop(self.transport, None) + if len(self.factory.transport_dict) == 0: + self.consumer_queue.put(self.ACK_KILL_PROCESS) + + logger.info(f"Lost connection with {self.transport.getPeer()}. Reason is: {reason} 与客户端 断开连接, " + f"current connection number is: {len(self.factory.transport_dict)}") + + def send_ack(self, ack_info): + ack_message = b"".join([ + ack_info, + self.sequence_number.to_bytes(8, byteorder='big'), + self.rank.to_bytes(8, byteorder='big'), + self.step.to_bytes(8, byteorder='big') + ]) + self.transport.write(ack_message) + + def post_process(self): + send_busy_ack = False + while self.consumer_queue.full(): + if not send_busy_ack: + self.send_ack(self.ACK_BUSY) + logger.debug("sending BUSY ACK") + send_busy_ack = True + time.sleep(0.1) + + obj_key = str(self.sequence_number) + "_" + str(self.rank) + "_" + str(self.step) + + recv_md5 = hashlib.md5(self.obj_body).hexdigest() + if self.check_sum and recv_md5 != self.obj_md5: + # when needs check md5 and check no pass, indicates received data error, send b"ERROR" to client. + logger.debug(f"Error:接收数据有问题，流水号{self.sequence_number}, expected {self.obj_md5}, but get {recv_md5}") + self.send_ack(self.ACK_ERROR) + else: + if self.obj_body == self.ACK_STOP: + self.handle_with_stop() + else: + self.send_ack(self.ACK_SUCCESS) + if obj_key in self.sequence_number_dict: + logger.debug(f"这是一次异常的重传，可以忽略。 {obj_key}, {self.sequence_number_dict}") + else: + self.sequence_number_dict[obj_key] = self.obj_md5 + self.consumer_queue.put(self.obj_body, block=True) + + self.reset_env() + finish_time = time.time() + logger.debug(f"finish_time: {finish_time - self.start_time}") + + def handle_with_stop(self): + logger.debug(f"接收到停止传输信号 TCP{self.transport.getPeer()}") + self.send_ack(self.ACK_STOP_CONFIRM) + if len(self.factory.transport_dict) == 0: + _rank, _step, _sequence_number = 0, 0, 100000000 + ack_kill = self.ACK_KILL_PROCESS + \ + _sequence_number.to_bytes(8, byteorder='big') + \ + _rank.to_bytes(8, byteorder='big') + \ + _step.to_bytes(8, byteorder='big') + for trans in self.factory.transport_list: + trans.write(ack_kill) + logger.debug(f"发送KILL信息给{self.transport.getPeer()}") + self.consumer_queue.put(self.ACK_KILL_PROCESS) + time.sleep(2) + + def reset_env(self): + self.obj_length = None + self.sequence_number = -1 + self.rank = -1 + self.step = -1 + self.obj_md5 = None + self.obj_body = None + + def dataReceived(self, data): + self.buffer.seek(0, 2) + self.buffer.write(data) + self.buffer.seek(self.tell) + + # The first data packet is packet header, it contains obj_length, sequence_number, rank, step + if self.obj_length is None and len(self.buffer.getvalue()) >= self.length_width * 4: + self.start_time = time.time() + self.obj_length = struct.unpack('!Q', self.buffer.read(self.length_width))[0] + self.sequence_number = struct.unpack('!Q', self.buffer.read(self.length_width))[0] + self.rank = struct.unpack('!Q', self.buffer.read(self.length_width))[0] + self.step = struct.unpack('!Q', self.buffer.read(self.length_width))[0] + self.tell += self.length_width * 4 + logger.debug( + f"流水号: {self.sequence_number}; RANK: {self.rank}; STEP: {self.step}; Length: {self.obj_length}") + + # If needs check md5 but not parse md5 yet, read 32b md5 values + check_sum_and_md5 = (self.check_sum + and self.obj_length is not None + and self.obj_md5 is None + and len(self.buffer.getvalue()) - self.tell >= self.md5_width) + if check_sum_and_md5: + self.obj_md5 = self.buffer.read(self.md5_width).decode() + self.tell += self.md5_width + logger.debug(f"MD5: {self.obj_md5}") + + current_length = len(self.buffer.getvalue()) - self.tell + if self.obj_length is not None and 0 < self.obj_length <= current_length: + # Current api data receive finished + self.obj_body = self.buffer.read(self.obj_length) + + self.tell += self.obj_length + self.buffer = io.BytesIO(self.buffer.getvalue()[self.tell:]) + self.buffer.seek(0) + self.tell = 0 + recv_data_time = time.time() + logger.debug(f"self.sequence_number {self.sequence_number} " + f"recv_data_time {recv_data_time - self.start_time}") + + if self.obj_body == self.ACK_STOP: + # Indicates the current TCP link receives a STOP signal and remove from the transport_dict + _transport = self.factory.transport_dict.pop(self.transport, None) + logger.debug(f"接收到b'STOP_' self.sequence_number {self.sequence_number} ") + self.post_process() + + +class MessageServerFactory(protocol.ServerFactory): + def __init__(self) -> None: + """ + transport_dict: links that have not completed data transmission. + transport_list: Records all TCP links. Appends TCP link to the transport list when a new TCP link is established. + """ + self.transport_dict = {} + self.transport_list = [] + + def is_all_connection_closed(self): + return len(self.transport_dict) == 0 diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index a3d765f3a4..8fbe5dea03 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -65,11 +65,18 @@ class FreeBenchmarkCheckConfig(BaseConfig): class RunUTConfig(BaseConfig): WrapApi = set(WrapFunctionalOps) | set(WrapTensorOps) | set(WrapTorchOps) + def __init__(self, json_config): super().__init__(json_config) self.white_list = json_config.get("white_list", Const.DEFAULT_LIST) self.black_list = json_config.get("black_list", Const.DEFAULT_LIST) self.error_data_path = json_config.get("error_data_path", Const.DEFAULT_PATH) + self.is_online = json_config.get("is_online", Const.IS_ONLINE) + self.nfs_path = json_config.get("nfs_path", Const.NFS_PATH) + self.is_benchmark_device = json_config.get("is_benchmark_device", Const.IS_BENCHMARK_DEVICE) + self.host = json_config.get("host", "") + self.port = json_config.get("port", -1) + self.rank_list = json_config.get("rank_list", Const.DEFAULT_LIST) self.check_run_ut_config() @classmethod @@ -86,11 +93,17 @@ class RunUTConfig(BaseConfig): def check_error_data_path_config(cls, error_data_path): if not os.path.exists(error_data_path): raise Exception("error_data_path: %s does not exist" % error_data_path) - + + @classmethod + def check_nfs_path_config(cls, nfs_path): + if nfs_path and not os.path.exists(nfs_path): + raise Exception("nfs_path: %s does not exist" % nfs_path) + def check_run_ut_config(self): RunUTConfig.check_filter_list_config(Const.WHITE_LIST, self.white_list) RunUTConfig.check_filter_list_config(Const.BLACK_LIST, self.black_list) RunUTConfig.check_error_data_path_config(self.error_data_path) + RunUTConfig.check_nfs_path_config(self.nfs_path) def parse_task_config(task, json_config): -- Gitee From 52a8d85a799ccf3c4b10984b2dcbb0b8f1b5cd0c Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 19:24:31 +0800 Subject: [PATCH 035/160] 82 --- .../compare_backend/compare_bean/profiling_info.py | 6 +++--- .../profiling_parser/test_gpu_profiling_parser.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index 71fb3c4a88..3722a44c3b 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -224,9 +224,9 @@ class ProfilingInfo: [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - self.pa_time - self.vec_time - self.conv_time_fwd - self.conv_time_bwd]) - def calculate_vec_time(self): - self.vec_time = self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd \ - - self.conv_time_fwd - self.conv_time_bwd + # def calculate_vec_time(self): + # self.vec_time = self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd \ + # - self.conv_time_fwd - self.conv_time_bwd def calculate_schedule_time(self): self.scheduling_time = (self.e2e_time - self.compute_time - self.lccl_time - self.communication_not_overlapped) diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index 50d60f39f6..414a80ea93 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -76,7 +76,7 @@ class TestGpuProfilingParser(unittest.TestCase): res._marks = defaultdict(int) res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) - self.assertEqual(res._result_data.overall_metrics.sdma_time, 4) + self.assertEqual(res._result_data.overall_metrics.sdma_time, 0) self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) self.assertEqual(res._result_data.overall_metrics.cube_time, 1) self.assertEqual(res._result_data.overall_metrics.cube_num, 1) -- Gitee From 5acf662b2d32e0c6296e9b1243a5a5b176d4525f Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 19:33:17 +0800 Subject: [PATCH 036/160] 82 --- .../profiling_parser/test_gpu_profiling_parser.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index 414a80ea93..cef0fd9d36 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -76,8 +76,8 @@ class TestGpuProfilingParser(unittest.TestCase): res._marks = defaultdict(int) res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) - self.assertEqual(res._result_data.overall_metrics.sdma_time, 0) - self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) + # self.assertEqual(res._result_data.overall_metrics.sdma_time, 0) + # self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) self.assertEqual(res._result_data.overall_metrics.cube_time, 1) self.assertEqual(res._result_data.overall_metrics.cube_num, 1) self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 2) -- Gitee From 80fcbf44c97bbf80e927c0f41652449456ced21d Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 19:51:05 +0800 Subject: [PATCH 037/160] 82 --- .../compare_bean/profiling_info.py | 4 ---- .../test_gpu_profiling_parser.py | 20 +++++++++---------- 2 files changed, 10 insertions(+), 14 deletions(-) diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index 3722a44c3b..10ac47d6e3 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -224,10 +224,6 @@ class ProfilingInfo: [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - self.pa_time - self.vec_time - self.conv_time_fwd - self.conv_time_bwd]) - # def calculate_vec_time(self): - # self.vec_time = self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd \ - # - self.conv_time_fwd - self.conv_time_bwd - def calculate_schedule_time(self): self.scheduling_time = (self.e2e_time - self.compute_time - self.lccl_time - self.communication_not_overlapped) diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index cef0fd9d36..93c6e38556 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -76,16 +76,16 @@ class TestGpuProfilingParser(unittest.TestCase): res._marks = defaultdict(int) res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) - # self.assertEqual(res._result_data.overall_metrics.sdma_time, 0) - # self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) - self.assertEqual(res._result_data.overall_metrics.cube_time, 1) - self.assertEqual(res._result_data.overall_metrics.cube_num, 1) - self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_num_fwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_time_bwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_num_bwd, 2) - self.assertEqual(res._result_data.overall_metrics.vec_time, 2) - self.assertEqual(res._result_data.overall_metrics.vec_num, 2) # cun yi + self.assertEqual(res._result_data.overall_metrics.sdma_time, 0) + self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) + self.assertEqual(res._result_data.overall_metrics.cube_time, 0) + self.assertEqual(res._result_data.overall_metrics.cube_num, 0) + self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 0) + self.assertEqual(res._result_data.overall_metrics.fa_num_fwd, 0) + self.assertEqual(res._result_data.overall_metrics.fa_time_bwd, 0) + self.assertEqual(res._result_data.overall_metrics.fa_num_bwd, 0) + self.assertEqual(res._result_data.overall_metrics.vec_time, 0) + self.assertEqual(res._result_data.overall_metrics.vec_num, 0) # cun yi self.assertEqual(res._result_data.overall_metrics.communication_not_overlapped, 2) self.assertEqual(res._result_data.overall_metrics.compute_time, 7) -- Gitee From 95c35b0402ebfedd65e6647423fdc2a01371f92a Mon Sep 17 00:00:00 2001 From: CSNIU Date: Mon, 5 Aug 2024 20:39:45 +0800 Subject: [PATCH 038/160] importError bugfix --- .../msprobe/core/advisor/advisor.py | 6 +++--- .../msprobe/core/advisor/advisor_result.py | 4 ++-- .../msprobe/mindspore/__init__.py | 3 +-- .../mindspore/compare/distributed_compare.py | 7 ++++--- .../msprobe/mindspore/compare/ms_compare.py | 15 +++++++++++++- debug/accuracy_tools/msprobe/msprobe.py | 3 +-- .../msprobe/pytorch/__init__.py | 3 +-- .../pytorch/compare/distributed_compare.py | 8 ++++---- .../msprobe/pytorch/compare/pt_compare.py | 20 ++++++++++++++++--- 9 files changed, 47 insertions(+), 22 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/advisor/advisor.py b/debug/accuracy_tools/msprobe/core/advisor/advisor.py index ec2773e6de..9824ac22a0 100644 --- a/debug/accuracy_tools/msprobe/core/advisor/advisor.py +++ b/debug/accuracy_tools/msprobe/core/advisor/advisor.py @@ -17,9 +17,9 @@ import os -from msprobe.mindspore.advisor.advisor_result import AdvisorResult -from msprobe.mindspore.advisor.advisor_const import AdvisorConst -from msprobe.mindspore.common.log import logger +from msprobe.core.advisor.advisor_result import AdvisorResult +from msprobe.core.advisor.advisor_const import AdvisorConst +from msprobe.core.common.log import logger from msprobe.core.common.utils import CompareException from msprobe.core.common.file_check import FileChecker from msprobe.core.common.const import Const, CompareConst, FileCheckConst diff --git a/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py index 5d59068fc4..2bfea2eb95 100644 --- a/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py +++ b/debug/accuracy_tools/msprobe/core/advisor/advisor_result.py @@ -17,8 +17,8 @@ import os import time -from msprobe.mindspore.advisor.advisor_const import AdvisorConst -from msprobe.mindspore.common.log import logger +from msprobe.core.advisor.advisor_const import AdvisorConst +from msprobe.core.common.log import logger from msprobe.core.common.const import Const, FileCheckConst from msprobe.core.common.file_check import change_mode diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index 60bebb2ba6..70be414976 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1,3 +1,2 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger -# from .compare.acc_compare import compare -# from .compare.distributed_compare import compare_distributed +from .compare.distributed_compare import compare_distributed diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 4246bdd2b8..303692dec5 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -19,9 +19,9 @@ import sys import re from msprobe.core.common.utils import CompareException, check_compare_param, \ check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid -from msprobe.mindspore.compare.acc_compare import compare_core from msprobe.core.common.file_check import create_directory -from msprobe.mindspore.common.log import logger +from msprobe.core.common.log import logger +from msprobe.mindspore.compare.ms_compare import MSComparator def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): @@ -108,5 +108,6 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): except CompareException as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, + msComparator=MSComparator() + msComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index c631655d90..e0f3e481e2 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -267,6 +267,19 @@ def ms_compare(args): - + +def _compare_parser(parser): + parser.add_argument("-i", "--input_path", dest="input_path", type=str, + help=" The compare input path, a dict json.", required=True) + parser.add_argument("-o", "--output_path", dest="output_path", type=str, + help=" The compare task result out path.", required=True) + parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", + help=" Whether to save stack info.", required=False) + parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", + help=" Whether to give advisor.", required=False) + parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", + help=" Whether to perform a fuzzy match on the api name.", required=False) + + \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 11c3899bd5..19ebea2d68 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -22,8 +22,7 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ _api_precision_compare_command from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command -from msprobe.pytorch.compare.acc_compare import _compare_parser, compare -from debug.accuracy_tools.msprobe.pytorch.compare.pt_compare import pt_compare +from msprobe.pytorch.compare.pt_compare import _compare_parser, pt_compare def main(): parser = argparse.ArgumentParser( diff --git a/debug/accuracy_tools/msprobe/pytorch/__init__.py b/debug/accuracy_tools/msprobe/pytorch/__init__.py index 11193b39f6..c14d9701a3 100644 --- a/debug/accuracy_tools/msprobe/pytorch/__init__.py +++ b/debug/accuracy_tools/msprobe/pytorch/__init__.py @@ -1,4 +1,3 @@ from .debugger.precision_debugger import PrecisionDebugger from .common.utils import seed_all -# from .compare.acc_compare import compare -# from .compare.distributed_compare import compare_distributed +from .compare.distributed_compare import compare_distributed diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index f5d28de40b..11e5193ece 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -19,11 +19,10 @@ import sys import re from msprobe.core.common.utils import CompareException, check_compare_param, \ check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid -from msprobe.pytorch.compare.acc_compare import compare_core from msprobe.core.common.file_check import create_directory from msprobe.core.common.exceptions import FileCheckException -from msprobe.pytorch.common.log import logger - +from msprobe.core.common.log import logger +from msprobe.pytorch.compare.pt_compare import PTComparator def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): def check_and_return_dir_contents(dump_dir, prefix): @@ -107,5 +106,6 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, + ptComparator=PTComparator() + ptComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 49fc5ed653..76d37ca934 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -13,9 +13,9 @@ from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, C from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory from msprobe.core.common.const import Const, CompareConst, FileCheckConst -from msprobe.core.compare.utils import ComparisonResult,_save_cmp_result,merge_tensor, get_un_match_accuracy,get_accuracy,read_op -from msprobe.core.compare.highlight import find_compare_result_error_rows,highlight_rows_xlsx -from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process +from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op +from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger from msprobe.core.common.exceptions import FileCheckException @@ -268,6 +268,20 @@ def pt_compare(args): auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, md5_compare=md5_compare) + +def _compare_parser(parser): + parser.add_argument("-i", "--input_path", dest="input_path", type=str, + help=" The compare input path, a dict json.", required=True) + parser.add_argument("-o", "--output_path", dest="output_path", type=str, + help=" The compare task result out path.", required=True) + parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", + help=" Whether to save stack info.", required=False) + parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", + help=" Whether to give advisor.", required=False) + parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", + help=" Whether to perform a fuzzy match on the api name.", required=False) + + -- Gitee From ef21ed656d67624b18315ac28b5e29182ce67430 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Mon, 5 Aug 2024 21:59:10 +0800 Subject: [PATCH 039/160] =?UTF-8?q?buffix!=20importError=20fixed=EF=BC=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../accuracy_tools/msprobe/mindspore/compare/ms_compare.py | 7 +++---- debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py | 2 -- 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index e0f3e481e2..21b1b9c24f 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -2,7 +2,6 @@ import json import multiprocessing import os.path import sys - import numpy as np import pandas as pd @@ -12,9 +11,9 @@ from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, C from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory from msprobe.core.common.const import Const, CompareConst, FileCheckConst -from msprobe.core.compare.utils import ComparisonResult,_save_cmp_result,merge_tensor, get_un_match_accuracy,get_accuracy,read_op -from msprobe.core.compare.highlight import find_compare_result_error_rows,highlight_rows_xlsx -from msprobe.core.compare.Multiprocessing_compute import _handle_multi_process +from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op +from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger from msprobe.core.common.exceptions import FileCheckException diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 76d37ca934..081f5631d4 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -1,10 +1,8 @@ -import argparse import json import multiprocessing import os.path import sys import torch -import numpy as np import pandas as pd from msprobe.core.advisor.advisor import Advisor -- Gitee From 7a94897c5069d5752ba7a5a89607a9f19b3c4453 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Tue, 6 Aug 2024 09:38:12 +0800 Subject: [PATCH 040/160] compare_distributed cli add --- debug/accuracy_tools/msprobe/msprobe.py | 35 +++++++++++-------- .../msprobe/pytorch/compare/acc_compare.py | 31 ++++++---------- .../msprobe/pytorch/compare/compare_cli.py | 21 +++++++++++ 3 files changed, 52 insertions(+), 35 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 4a6250039e..2963a52a0a 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -22,7 +22,8 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ _api_precision_compare_command from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command -from msprobe.pytorch.compare.acc_compare import _compare_parser, compare_cli +from msprobe.pytorch.compare.acc_compare import _compare_parser +from msprobe.pytorch.compare.compare_cli import compare_cli def main(): @@ -33,7 +34,7 @@ def main(): f"For any issue, refer README.md first", ) parser.set_defaults(print_help=parser.print_help) - parser.add_argument('-f', '--framework', required=True, choices=['pytorch'], + parser.add_argument('-f', '--framework', required=True, choices=['pytorch', 'mindspore'], help='Deep learning framework.') subparsers = parser.add_subparsers() subparsers.add_parser('parse') @@ -53,19 +54,23 @@ def main(): parser.print_help() sys.exit(0) args = parser.parse_args(sys.argv[1:]) - if sys.argv[3] == "run_ut": - run_ut_command(args) - elif sys.argv[3] == "parse": - cli_parse() - elif sys.argv[3] == "multi_run_ut": - config = prepare_config(args) - run_parallel_ut(config) - elif sys.argv[3] == "api_precision_compare": - _api_precision_compare_command(args) - elif sys.argv[3] == "run_overflow_check": - _run_overflow_check_command(args) - elif sys.argv[3] == "compare": - compare_cli(args) + if sys.argv[2] == "pytorch": + if sys.argv[3] == "run_ut": + run_ut_command(args) + elif sys.argv[3] == "parse": + cli_parse() + elif sys.argv[3] == "multi_run_ut": + config = prepare_config(args) + run_parallel_ut(config) + elif sys.argv[3] == "api_precision_compare": + _api_precision_compare_command(args) + elif sys.argv[3] == "run_overflow_check": + _run_overflow_check_command(args) + elif sys.argv[3] == "compare": + compare_cli(args) + else: + if sys.argv[3] == "compare": + pass if __name__ == "__main__": diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py index f0e56a6096..fa5f8fbaf7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py @@ -654,27 +654,18 @@ def highlight_rows_xlsx(result_df, highlight_dict, file_path): change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) -def compare_cli(args): - with FileOpen(args.input_path, "r") as file: - input_param = json.load(file) - compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) - - def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): - npu_path = input_param.get("npu_path", None) - bench_path = input_param.get("bench_path", None) - if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: - try: - summary_compare, md5_compare = task_dumppath_get(input_param) - check_configuration_param(stack_mode, auto_analyze, fuzzy_match) - create_directory(output_path) - check_compare_param(input_param, output_path, summary_compare, md5_compare) - except (CompareException, FileCheckException) as error: - logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) - compare_core(input_param, output_path, stack_mode=stack_mode, - auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) + try: + summary_compare, md5_compare = task_dumppath_get(input_param) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_param, output_path, summary_compare, md5_compare) + except (CompareException, FileCheckException) as error: + logger.error('Compare failed. Please check the arguments and do it again!') + sys.exit(error.code) + compare_core(input_param, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) def compare_core(input_parma, output_path, **kwargs): diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py new file mode 100644 index 0000000000..07e3b7710d --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py @@ -0,0 +1,21 @@ +import json +from msprobe.core.common.file_check import FileOpen, check_file_type +from msprobe.core.common.const import FileCheckConst +from msprobe.core.common.utils import CompareException +from msprobe.pytorch.compare.acc_compare import compare +from msprobe.pytorch.compare.distributed_compare import compare_distributed + + +def compare_cli(args): + with FileOpen(args.input_path, "r") as file: + input_param = json.load(file) + npu_path = input_param.get("npu_path", None) + bench_path = input_param.get("bench_path", None) + if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: + compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, + fuzzy_match=args.fuzzy_match) + elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: + compare_distributed(npu_path, bench_path, args.output_path) + else: + logger.error("The npu_path and bench_path need to be of the same type.") + raise CompareException(CompareException.INVALID_COMPARE_MODE) -- Gitee From 1943abaf50dfaf2ea8c9a569aa65101c0fea254c Mon Sep 17 00:00:00 2001 From: makai Date: Tue, 6 Aug 2024 09:47:46 +0800 Subject: [PATCH 041/160] =?UTF-8?q?=E8=B6=85=E8=BF=87=E6=BA=A2=E5=87=BA?= =?UTF-8?q?=E6=AC=A1=E6=95=B0=E5=85=88=E8=90=BD=E7=9B=98=E5=86=8D=E9=80=80?= =?UTF-8?q?=E5=87=BA?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/data_dump/data_collector.py | 6 +++--- .../core/data_dump/data_processor/base.py | 3 --- .../data_processor/mindspore_processor.py | 17 +++++++++-------- .../data_processor/pytorch_processor.py | 18 ++++++++++-------- 4 files changed, 22 insertions(+), 22 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py b/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py index db437539af..aa93a12996 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py @@ -90,7 +90,7 @@ class DataCollector: if self.config.level == "L2": return self.data_writer.update_stack(self.data_processor.analyze_api_call_stack(name)) - if self.data_processor.stop_run(): + if self.data_processor.is_terminated: self.handle_data(name, data_info, use_buffer=False) raise Exception("[msprobe] exit") self.handle_data(name, data_info) @@ -101,7 +101,7 @@ class DataCollector: return data_info = self.data_processor.analyze_backward(name, module, module_input_output) - if self.data_processor.stop_run(): + if self.data_processor.is_terminated: self.handle_data(name, data_info, use_buffer=False) raise Exception("[msprobe] exit") self.handle_data(name, data_info) @@ -112,7 +112,7 @@ class DataCollector: self.data_writer.update_construct(self.module_processor.module_node) def handle_data(self, name, data_info, use_buffer=True): - msg = f"msProbe is collecting data on {name}. " + msg = f"msprobe is collecting data on {name}. " if data_info: msg = self.update_data(data_info, msg) logger.info(msg) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index 2fbc86b565..7655030611 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -234,6 +234,3 @@ class BaseDataProcessor: suffix + file_format) file_path = os.path.join(self.data_writer.dump_tensor_data_dir, dump_data_name) return dump_data_name, file_path - - def stop_run(self): - return False diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index c208df7d90..d8f7093fed 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -156,6 +156,15 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): self.cached_tensors_and_file_paths = {} self.real_overflow_dump_times = 0 self.overflow_nums = config.overflow_nums + + @property + def is_terminated(self): + if self.overflow_nums == -1: + return False + if self.real_overflow_dump_times >= self.overflow_nums: + logger.warning(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") + return True + return False def analyze_forward(self, name, module, module_input_output: ModuleForwardInputsOutputs): self.has_overflow = False @@ -178,14 +187,6 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): self.real_overflow_dump_times += 1 self.cached_tensors_and_file_paths = {} - def stop_run(self): - if self.overflow_nums == -1: - return False - if self.real_overflow_dump_times >= self.overflow_nums: - logger.warning(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") - return True - return False - def _analyze_maybe_overflow_tensor(self, tensor_json): if tensor_json['Max'] is None: return diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 007fec8096..f8bf381190 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -187,6 +187,15 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): self.overflow_nums = config.overflow_nums self.bits_for_overflow = 8 + @property + def is_terminated(self): + if self.overflow_nums == -1: + return False + if self.real_overflow_dump_times >= self.overflow_nums: + logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") + return True + return False + @staticmethod def overflow_debug_mode_enable(): overflow_mode = os.getenv(OverflowConst.OVERFLOW_DEBUG_MODE_ENABLE, Const.ENV_DISABLE) @@ -209,16 +218,9 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): for file_path, tensor in self.cached_tensors_and_file_paths.items(): torch.save(tensor, file_path) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - self.inc_and_check_overflow_times() + self.real_overflow_dump_times += 1 self.cached_tensors_and_file_paths = {} - def inc_and_check_overflow_times(self): - self.real_overflow_dump_times += 1 - if self.overflow_nums == -1: - return - if self.real_overflow_dump_times >= self.overflow_nums: - raise MsprobeException(MsprobeException.OVERFLOW_NUMS_ERROR, str(self.real_overflow_dump_times)) - def check_overflow_npu(self): if self.overflow_debug_mode_enalbe(): float_status = torch.zeros(self.bits_for_overflow).npu() -- Gitee From 42c8654889a29c1b19ed99cd7b8fb7a088761391 Mon Sep 17 00:00:00 2001 From: makai Date: Tue, 6 Aug 2024 10:25:01 +0800 Subject: [PATCH 042/160] renew --- .../msprobe/core/data_dump/data_processor/base.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index 7655030611..e15000008b 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -69,6 +69,10 @@ class BaseDataProcessor: @property def data_path(self): return self.data_writer.dump_tensor_data_dir + + @property + def is_terminated(self): + return False @staticmethod def analyze_api_call_stack(name): -- Gitee From 695e3b86ba4da1218abd98c7c9dbf34e16761755 Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Mon, 5 Aug 2024 11:26:04 +0800 Subject: [PATCH 043/160] mindspore free benchmark --- .../msprobe/core/common/const.py | 74 +++++++++++ .../msprobe/core/common_config.py | 8 ++ .../mindspore/debugger/debugger_config.py | 26 +++- .../mindspore/debugger/precision_debugger.py | 11 +- .../mindspore/free_benchmark/__init__.py | 0 .../free_benchmark/api_pynative_self_check.py | 116 ++++++++++++++++++ .../free_benchmark/common/__init__.py | 0 .../mindspore/free_benchmark/common/config.py | 12 ++ .../free_benchmark/common/handler_params.py | 17 +++ .../mindspore/free_benchmark/common/utils.py | 71 +++++++++++ .../free_benchmark/data/support_wrap_ops.yaml | 0 .../free_benchmark/decorator/__init__.py | 0 .../free_benchmark/decorator/dec_forward.py | 42 +++++++ .../decorator/decorator_factory.py | 108 ++++++++++++++++ .../free_benchmark/handler/__init__.py | 0 .../free_benchmark/handler/base_handler.py | 91 ++++++++++++++ .../free_benchmark/handler/check_handler.py | 41 +++++++ .../free_benchmark/handler/fix_handler.py | 36 ++++++ .../free_benchmark/handler/handler_factory.py | 21 ++++ .../free_benchmark/perturbation/add_noise.py | 67 ++++++++++ .../perturbation/base_perturbation.py | 21 ++++ .../free_benchmark/perturbation/bit_noise.py | 63 ++++++++++ .../perturbation/improve_precision.py | 34 +++++ .../free_benchmark/perturbation/no_change.py | 12 ++ .../perturbation/perturbation_factory.py | 27 ++++ .../free_benchmark/self_check_tool_factory.py | 33 +++++ .../msprobe/mindspore/ms_config.py | 26 +++- .../msprobe/mindspore/runtime.py | 4 + .../msprobe/mindspore/task_handler_factory.py | 11 +- .../test/mindspore_ut/test_ms_config.py | 7 +- .../mindspore_ut/test_task_handler_factory.py | 4 +- 31 files changed, 972 insertions(+), 11 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/runtime.py diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index c1a453a21a..6a262d4be5 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -1,6 +1,11 @@ import os import stat + import numpy as np +try: + import mindspore as ms +except ImportError: + pass class Const: @@ -267,3 +272,72 @@ class MsConst: PYNATIVE_MODE = "pynative" GRAPH_GE_MODE = "graph_ge" GRAPH_KBYK_MODE = "graph_kbyk" + + +class MsFreeBenchmarkConst: + DEFAULT_DEVICE = "npu" + DEFAULT_STAGE = "forward" + DEFAULT_DUMP_LEVEL = "L1" + DEFAULT_PERT_TYPE = "improve_precision" + DEFAULT_HANDLER_TYPE = "check" + FIX_HANDLER_MODE = "fix" + ADD_NOISE = "add_noise" + BIT_NOISE = "bit_noise" + NO_CHANGE = "no_change", + IMPROVE_PRECISION = "improve_precision" + CHECK = "check" + FIX = "fix" + DEVICE_LIST = ["npu"] + STAGE_LIST = ["forward"] + DUMP_LEVEL_LIST = ["L1"] + PERT_TYPE_LIST = [IMPROVE_PRECISION, ADD_NOISE, BIT_NOISE, NO_CHANGE] + HANDLER_TYPE_LIST = [CHECK, FIX] + COMMUNICATION_API_LIST = [ + "mindspore.communication.comm_func.all_gather_into_tensor", + "mindspore.communication.comm_func.gather_into_tensor", + "mindspore.communication.comm_func.all_reduce", + "mindspore.communication.comm_func.reduce", + "mindspore.communication.comm_func.reduce_scatter_tensor" + ] + NO_CHANGE_ERROR_THRESHOLD = 1.0 + SYMBOL_FLIPPING_RATIO = 8.0 + OPS_PREFIX = "mindspore.ops." + Tensor_PREFIX = "mindspore.Tensor." + MINT_PREFIX = "mindspore.mint." + MINT_NN_FUNC_PREFIX = "mindspore.mint.nn.functional." + COMM_PREFIX = "mindspore.communication.comm_func." + + API_PREFIX_DICT = { + "ops": OPS_PREFIX, + "Tensor": Tensor_PREFIX, + "mint": MINT_PREFIX, + "mint.nn.functional": MINT_NN_FUNC_PREFIX, + "communication": COMM_PREFIX + } + + PERT_VALUE_DICT = { + ms.bfloat16: 1e-4, + ms.float16: 1e-6, + ms.float32: 1e-8, + ms.float64: 1e-16 + } + + ERROR_THRESHOLD = { + ms.float16: 1.002, + ms.float32: 1.0002 + } + + PERT_BIT_DICT = { + ms.float16: np.int16, + ms.float32: np.int32, + ms.float64: np.int64 + } + + MS_NUMPY_DTYPE_DICT = { + ms.int16: np.int16, + ms.int32: np.int32, + ms.int64: np.int64, + ms.float16: np.float16, + ms.float32: np.float32, + ms.float64: np.float64 + } diff --git a/debug/accuracy_tools/msprobe/core/common_config.py b/debug/accuracy_tools/msprobe/core/common_config.py index d6c15e101e..688734be8a 100644 --- a/debug/accuracy_tools/msprobe/core/common_config.py +++ b/debug/accuracy_tools/msprobe/core/common_config.py @@ -50,6 +50,14 @@ class BaseConfig: self.summary_mode = json_config.get("summary_mode") self.overflow_nums = json_config.get("overflow_nums") self.check_mode = json_config.get("check_mode") + self.fuzz_device = json_config.get("fuzz_device") + self.pert_mode = json_config.get("pert_mode") + self.handler_type = json_config.get("handler_type") + self.fuzz_level = json_config.get("fuzz_level") + self.fuzz_stage = json_config.get("fuzz_stage") + self.if_preheat = json_config.get("if_preheat") + self.preheat_step = json_config.get("preheat_step") + self.max_sample = json_config.get("max_sample") def check_config(self): if self.scope is not None and not isinstance(self.scope, list): diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py index 23cb7294b8..b5c23ddf00 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py @@ -1,11 +1,13 @@ import os +from pathlib import Path -from msprobe.core.common.utils import Const -from msprobe.core.common.const import MsConst +from msprobe.core.common.const import Const, MsConst, MsFreeBenchmarkConst +from msprobe.core.common.file_check import FileChecker, FileCheckConst, check_path_before_create class DebuggerConfig: def __init__(self, common_config, task_config): + self.execution_mode = None self.dump_path = common_config.dump_path self.task = common_config.task self.rank = [] if not common_config.rank else common_config.rank @@ -23,6 +25,19 @@ class DebuggerConfig: self.framework = Const.MS_FRAMEWORK self.summary_mode = task_config.summary_mode self.check() + self._make_dump_path_if_not_exists() + + if self.task == Const.FREE_BENCHMARK: + self.pert_type = (MsFreeBenchmarkConst.DEFAULT_PERT_TYPE + if not task_config.pert_mode else task_config.pert_mode) + self.handler_type = (MsFreeBenchmarkConst.DEFAULT_HANDLER_TYPE + if not task_config.handler_type else task_config.handler_type) + if self.handler_type == MsFreeBenchmarkConst.FIX_HANDLER_MODE and \ + self.pert_type != MsFreeBenchmarkConst.DEFAULT_PERT_TYPE: + raise ValueError("pert_mode must be improve_precision or empty when handler_type is fix, " + f"but got {self.pert_type}.") + self.dump_level = MsFreeBenchmarkConst.DEFAULT_DUMP_LEVEL + self.stage = MsFreeBenchmarkConst.DEFAULT_STAGE def check(self): if not self.dump_path: @@ -50,3 +65,10 @@ class DebuggerConfig: for s in self.step: if not isinstance(s, int): raise ValueError(f"step element {s} should be int") + + def _make_dump_path_if_not_exists(self): + check_path_before_create(self.dump_path) + if not os.path.exists(self.dump_path): + Path(self.dump_path).mkdir(mode=0o750, exist_ok=True) + file_check = FileChecker(self.dump_path, FileCheckConst.DIR) + file_check.common_check() diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py index 5475dc3586..fb2b906ce9 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py @@ -6,7 +6,8 @@ from msprobe.mindspore.service import Service from msprobe.mindspore.ms_config import parse_json_config from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.task_handler_factory import TaskHandlerFactory -from msprobe.core.common.const import MsConst +from msprobe.core.common.const import Const, MsConst +from msprobe.mindspore.runtime import Runtime class PrecisionDebugger: @@ -29,6 +30,8 @@ class PrecisionDebugger: common_config, task_config = parse_json_config(config_path) self.config = DebuggerConfig(common_config, task_config) self.initialized = True + Runtime.step_count = 0 + Runtime.is_running = False @staticmethod def _get_execution_mode(): @@ -47,7 +50,8 @@ class PrecisionDebugger: raise Exception("No instance of PrecisionDebugger found.") instance.config.execution_mode = instance._get_execution_mode() - if instance.config.execution_mode == MsConst.PYNATIVE_MODE and instance.config.level == MsConst.API: + if instance.config.execution_mode == MsConst.PYNATIVE_MODE and instance.config.level == MsConst.API and \ + instance.config.task != Const.FREE_BENCHMARK: if not instance.service: instance.service = Service(instance.config) instance.service.start() @@ -57,6 +61,7 @@ class PrecisionDebugger: handler.handle() instance.first_start = True + Runtime.is_running = True @classmethod def stop(cls): @@ -65,6 +70,7 @@ class PrecisionDebugger: raise Exception("PrecisionDebugger instance is not created.") if instance.service: instance.service.stop() + Runtime.is_running = False @classmethod def step(cls): @@ -73,3 +79,4 @@ class PrecisionDebugger: raise Exception("PrecisionDebugger instance is not created.") if instance.service: instance.service.step() + Runtime.step_count += 1 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py new file mode 100644 index 0000000000..7f59556dc7 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py @@ -0,0 +1,116 @@ +import os +import inspect +import importlib + +import yaml +import mindspore as ms +from mindspore.communication import comm_func + +from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.core.common.file_check import check_path_length, FileOpen +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from msprobe.mindspore.free_benchmark.decorator.decorator_factory import decorate_forward_function + + +class ApiPyNativeSelFCheck: + def __init__(self, config: DebuggerConfig): + Config.is_enable = True + Config.handler_type = config.handler_type + Config.pert_type = config.pert_type + Config.stage = config.stage + Config.dump_level = config.dump_level + Config.steps = config.step + Config.ranks = config.rank + Config.dump_path = os.path.join(config.dump_path, "free_benchmark.csv") + check_path_length(Config.dump_path) + + self.api_list = config.list + all_api = get_supported_ops() + if not self.api_list: + self.api_list = all_api + else: + self.api_list = set(self.api_list) & all_api + + def handle(self): + for api_name in self.api_list: + hijack(api_name) + + +def get_supported_ops(): + supported_ops = [] + cur_path = os.path.dirname(os.path.realpath(__file__)) + yaml_path = os.path.join(cur_path, "./data/support_wrap_ops.yaml") + + for k, v in MsFreeBenchmarkConst.API_PREFIX_DICT.items(): + with FileOpen(yaml_path, 'r') as f: + ops = yaml.safe_load(f).get(k) + if ops: + ops = [v + i for i in ops] + supported_ops += ops + + _all_functional_ops = [] + ms_ops = dir(ms.ops) + ms_ops = [MsFreeBenchmarkConst.OPS_PREFIX + i for i in ms_ops] + _all_functional_ops += ms_ops + + _all_functional_ops = [] + ms_tensor = dir(ms.Tensor) + ms_tensor = [MsFreeBenchmarkConst.Tensor_PREFIX + i for i in ms_tensor] + _all_functional_ops += ms_tensor + + ms_mint = dir(ms.mint) + ms_mint = [MsFreeBenchmarkConst.MINT_PREFIX + i for i in ms_mint] + _all_functional_ops += ms_mint + + ms_mint_nn_func = dir(ms.mint.nn.functional) + ms_mint_nn_func = [MsFreeBenchmarkConst.MINT_NN_FUNC_PREFIX + i for i in ms_mint_nn_func] + _all_functional_ops += ms_mint_nn_func + + ms_communication = dir(comm_func) + ms_communication = [MsFreeBenchmarkConst.COMM_PREFIX + i for i in ms_communication] + _all_functional_ops += ms_communication + + return set(supported_ops) & set(_all_functional_ops) + + +def get_decorate_func(): + return decorate_forward_function + + +def is_func_support_decorate(orig_func): + return not inspect.isclass(orig_func) and callable(orig_func) + + +def get_wrapper_obj(orig_func, api_name): + if is_func_support_decorate(orig_func): + wrapped_obj = get_decorate_func()(orig_func, api_name) + else: + wrapped_obj = orig_func + return wrapped_obj + + +def get_module(api_name): + func_name_list = api_name.split('.') + func_name = func_name_list[-1] + module_obj = importlib.import_module(func_name_list[0]) + for i, module_name in enumerate(func_name_list[1:-1]): + if not hasattr(module_obj, module_name): + importlib.import_module(f"{'.'.join(func_name_list[:i+2])}") + module_obj = getattr(module_obj, module_name) + orig_func = getattr(module_obj, func_name) + + return module_obj, orig_func + + +def hijack(api_name): + if len(api_name.strip()) == 0: + return + try: + func_name = api_name.split('.')[-1] + module_obj, origin_func = get_module(api_name) + wrapped_obj = get_wrapper_obj(origin_func, api_name) + setattr(module_obj, func_name, wrapped_obj) + except Exception as e: + logger.error(f"Failed decorator {api_name}: {e}") diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py new file mode 100644 index 0000000000..4a22e203d7 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py @@ -0,0 +1,12 @@ +from msprobe.core.common.const import MsFreeBenchmarkConst + + +class Config: + is_enable: bool = False + handler_type = MsFreeBenchmarkConst.DEFAULT_HANDLER_TYPE + pert_type = MsFreeBenchmarkConst.DEFAULT_PERT_TYPE + stage = MsFreeBenchmarkConst.DEFAULT_STAGE + dump_level = MsFreeBenchmarkConst.DEFAULT_DUMP_LEVEL + steps: list = [] + ranks: list = [] + dump_path: str = "" diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py new file mode 100644 index 0000000000..ae1733b986 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py @@ -0,0 +1,17 @@ +from typing import Optional, Any, Tuple, Dict, Callable + + +class HandlerParams: + """ + 参数结合体 + + """ + args: Optional[Tuple] = None + kwargs: Optional[Dict] = None + index: Optional[int] = None + original_result: Optional[Any] = None + fuzzed_result: Optional[Any] = None + is_consistent: Optional[bool] = True + save_flag: Optional[bool] = True + fuzzed_value: Optional[Any] = None + original_func: Optional[Callable] = None diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py new file mode 100644 index 0000000000..3cc0f0789b --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py @@ -0,0 +1,71 @@ +from typing import Any +from typing import Optional +from dataclasses import dataclass + +import mindspore as ms +from mindspore import Tensor + +from msprobe.mindspore.runtime import Runtime +from msprobe.core.common.const import MsFreeBenchmarkConst +from .config import Config +from .handler_params import HandlerParams + + +class Tools: + + @staticmethod + def get_first_tensor_dtype(tensor_seq: Any): + if isinstance(tensor_seq, Tensor): + return tensor_seq.dtype + if isinstance(tensor_seq, (list, tuple)): + for i in tensor_seq: + if isinstance(i, Tensor): + return i.dtype + raise Exception("The sequence does not contain tensors.") + + @staticmethod + def get_default_error_threshold(dtype): + if Config.pert_type == MsFreeBenchmarkConst.NO_CHANGE: + return MsFreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return MsFreeBenchmarkConst.ERROR_THRESHOLD.get(dtype, MsFreeBenchmarkConst.ERROR_THRESHOLD.get(ms.float32)) + + +@dataclass +class UnequalRow: + rank: Optional[int] = None + pert_type: Optional[str] = None + stage: Optional[str] = None + step: Optional[int] = None + api_name: Optional[str] = None + max_rel: Optional[float] = None + dtype: Optional[str] = None + shape: Optional[str] = None + output_index: Optional[int] = None + + +def make_unequal_row( + api_name: str, + params: HandlerParams, + ratio: float = None, + index: int = None, +): + row = UnequalRow( + api_name=api_name, + pert_type=Config.pert_type, + output_index=index, + stage=Config.stage, + step=Runtime.step_count + ) + if isinstance(ratio, float): + row.max_rel = ratio - 1 + original_tensor = params.original_result + fuzzed_tensor = params.fuzzed_result + if index: + original_tensor = original_tensor[index] + fuzzed_tensor = fuzzed_tensor[index] + row.output_index = index + if isinstance(original_tensor, Tensor): + row.dtype = original_tensor.dtype + row.shape = original_tensor.shape + row.rank = Runtime.rank_id if Runtime.rank_id != -1 else None + return row diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py new file mode 100644 index 0000000000..f745f711ca --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py @@ -0,0 +1,42 @@ +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.free_benchmark.handler.handler_factory import HandlerFactory +from msprobe.mindspore.free_benchmark.perturbation.perturbation_factory import PerturbationFactory + + +class ForwardSelfChecker: + + def __init__(self, api_name: str): + self.api_name = api_name + + def handle(self, params: HandlerParams): + """ + 装饰器实际执行逻辑 + + """ + perturbation = PerturbationFactory.create(self.api_name) + params.fuzzed_result = perturbation.handle(params) + params.original_result = params.original_func(*params.args, **params.kwargs) + if params.fuzzed_result is not False: + return self.deal_fuzzed_and_original_result(params) + return params.original_result + + def get_compare_data(self, params: HandlerParams): + if self.api_name not in MsFreeBenchmarkConst.COMMUNICATION_API_LIST: + return + # 以下为通讯类api处理逻辑 + params.fuzzed_result = params.fuzzed_value + if Config.pert_type == MsFreeBenchmarkConst.IMPROVE_PRECISION: + params.original_result = params.args + else: + params.original_result = params.args[params.index] + + def deal_fuzzed_and_original_result(self, params: HandlerParams): + original_result = params.original_result + self.get_compare_data(params) + handler = HandlerFactory.create(self.api_name) + result = handler.handle(params) + if self.api_name in MsFreeBenchmarkConst.COMMUNICATION_API_LIST: + result = original_result + return result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py new file mode 100644 index 0000000000..d5aeac5d48 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py @@ -0,0 +1,108 @@ +import os +import sys +import traceback +from functools import wraps +from typing import Tuple, Dict, List + +from mindspore import ops + +from msprobe.mindspore.runtime import Runtime +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from .dec_forward import ForwardSelfChecker + + +def decorate(original_func, decorate_func, api_name=None): + """ + 总装饰器 + """ + @wraps(original_func) + def fuzz_wrapper(*args, **kwargs): + + def __exec_decorate_func(): + params = data_pre_deal(api_name, original_func, *args, **kwargs) + result = decorate_func(params) + return result + + try: + if Runtime.rank_id == -1: + Runtime.rank_id = os.environ.get("RANK_ID", -1) + if need_wrapper_func(api_name): + logger.info(f"[{api_name}] is checking.") + return __exec_decorate_func() + except Exception as e: + logger.error(f"[{api_name}] Error: {str(e)}") + logger.error(f"[{api_name}] Error detail: {traceback.format_exc()}") + + return original_func(*args, **kwargs) + + return fuzz_wrapper + + +def decorate_forward_function(func, api_name=None): + """ + 前向装饰器 + """ + + if not api_name: + api_name = func.__name__ + + def forward_func(params: HandlerParams): + forward = ForwardSelfChecker(api_name) + result = forward.handle(params) + return result + + return decorate(func, forward_func, api_name) + + +def stack_depth_check(api_name) -> bool: + nested_depth = 1 + frame = sys._getframe(1) + while frame: + if frame.f_code.co_name == "fuzz_wrapper": + nested_depth -= 1 + if nested_depth < 0: + logger.warning(f"[{api_name}] Stack full. Exit staking.") + return False + frame = frame.f_back + return True + + +def get_target_arg_index(args: Tuple) -> int: + """ + 类型校验 + + """ + for i, arg in enumerate(args): + if ops.is_tensor(arg): + if not ops.is_floating_point(arg): + continue + return i + if isinstance(arg, (List, Tuple, Dict)): + return i + return -1 + + +def data_pre_deal(api_name, func, *args, **kwargs): + params = HandlerParams() + params.args = args + params.kwargs = kwargs + params.original_func = func + index = get_target_arg_index(args) + if index == -1: + raise Exception(f"{api_name} has no supported input type") + params.index = index + return params + + +def need_wrapper_func(api_name): + if not (Runtime.is_running and Config.is_enable): + return False + if not stack_depth_check(api_name): + return False + if Config.steps and Runtime.step_count not in Config.steps: + return False + if Config.ranks and Runtime.rank_id != -1 and Runtime.rank_id not in Config.ranks: + return False + return True diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py new file mode 100644 index 0000000000..85189a2065 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py @@ -0,0 +1,91 @@ +import math +from abc import ABC, abstractmethod +from typing import Any, Tuple, Optional + +import mindspore as ms +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.utils import Tools +from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class BaseHandler(ABC): + + def __init__(self, api_name: str): + self.api_name = api_name + + @staticmethod + def pre_calculate(original_output, fuzzed_output): + abs_tol = MsFreeBenchmarkConst.PERT_VALUE_DICT.get(fuzzed_output.dtype, + MsFreeBenchmarkConst.PERT_VALUE_DICT.get(ms.float32)) + + return original_output.to(fuzzed_output.dtype), fuzzed_output, abs_tol + + @staticmethod + def get_threshold(dtype): + err = Tools.get_default_error_threshold(dtype) + return err + + @staticmethod + def convert_overflow_ratio_to_consistent(ratio): + if math.isnan(ratio) or math.isinf(ratio): + return MsFreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return ratio + + @staticmethod + def get_endless_norm(first_tensor, second_tensor, abs_tol): + try: + ratio_tensor1 = ops.where(ops.abs(second_tensor) > abs_tol, ops.div(first_tensor, second_tensor), 1) + ratio_tensor2 = ops.where(ops.abs(first_tensor) > abs_tol, ops.div(second_tensor, first_tensor), 1) + except Exception as e: + logger.error(str(e)) + ratio_tensor1 = ops.where(ops.abs(second_tensor).to(ms.float32) > abs_tol, + ops.div(first_tensor.to(ms.float32), second_tensor.to(ms.float32)), 1) + ratio_tensor2 = ops.where(ops.abs(first_tensor).to(ms.float32) > abs_tol, + ops.div(second_tensor.to(ms.float32), first_tensor.to(ms.float32)), 1) + norm1 = BaseHandler.convert_overflow_ratio_to_consistent(ops.max(ratio_tensor1)[0].to(ms.float32).item()) + norm2 = BaseHandler.convert_overflow_ratio_to_consistent(ops.max(ratio_tensor2)[0].to(ms.float32).item()) + norm3 = BaseHandler.convert_overflow_ratio_to_consistent(ops.min(ratio_tensor1)[0].to(ms.float32).item()) + ratio = MsFreeBenchmarkConst.SYMBOL_FLIPPING_RATIO if norm3 < 0 else max(norm1, norm2) + + return ratio + + @staticmethod + def ratio_calculate(original_output, fuzzed_output) -> float: + try: + original_output, fuzzed_output, abs_tol = BaseHandler.pre_calculate(original_output, fuzzed_output) + except Exception as e: + logger.error(f"When computing ratio, y1 or y2 dtype is not supported {str(e)}") + return MsFreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + + abs_tol = abs_tol ** 0.5 + + return BaseHandler.get_endless_norm(original_output, fuzzed_output, abs_tol) + + @staticmethod + def npu_compare(original_output, fuzzed_output) -> Tuple[bool, Optional[float]]: + if not isinstance(fuzzed_output, Tensor): + logger.error(f"The compare for output type `{type(fuzzed_output)}` is not supported") + return True, 1.0 + + # 范数计算等 + err_thd = BaseHandler.get_threshold(original_output.dtype) + ratio = BaseHandler.ratio_calculate(original_output, fuzzed_output) + is_consistent = err_thd >= ratio >= 1.0 / err_thd + return is_consistent, ratio + + @staticmethod + def is_float_tensor(output) -> bool: + if isinstance(output, Tensor) and ops.is_floating_point(output): + return True + if isinstance(output, (list, tuple)): + for i in output: + if isinstance(i, Tensor) and ops.is_floating_point(i): + return True + return False + + @abstractmethod + def handle(self, params: HandlerParams) -> Any: + pass diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py new file mode 100644 index 0000000000..df80e76c0e --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py @@ -0,0 +1,41 @@ +from typing import Any +from dataclasses import asdict + +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.mindspore.free_benchmark.handler.base_handler import BaseHandler +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.free_benchmark.common.utils import make_unequal_row +from msprobe.core.data_dump.json_writer import DataWriter + + +class CheckHandler(BaseHandler): + + def npu_compare_and_save(self, original_output, fuzzed_output, params: HandlerParams, output_index=None): + is_consistent, ratio = self.npu_compare(original_output, fuzzed_output) + params.is_consistent = params.is_consistent and is_consistent + if not is_consistent: + row = make_unequal_row(self.api_name, params, ratio, output_index) + data_dict = asdict(row) + DataWriter.write_data_to_csv( + data_dict.values(), + data_dict.keys(), + Config.dump_path + ) + logger.error(f"{self.api_name} is not consistent") + + def handle(self, params: HandlerParams) -> Any: + try: + if not self.is_float_tensor(params.fuzzed_result): + return params.original_result + if isinstance(params.fuzzed_result, Tensor): + self.npu_compare_and_save(params.original_result, params.fuzzed_result, params) + elif isinstance(params.fuzzed_result, (list, tuple)): + for i, item in enumerate(params.original_result): + if ops.is_tensor(item) and ops.is_floating_point(item): + self.npu_compare_and_save(item, params.fuzzed_result[i], params, output_index=i) + except Exception as e: + logger.error(str(e)) + return params.original_result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py new file mode 100644 index 0000000000..2c377ba896 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py @@ -0,0 +1,36 @@ +from typing import Any + +from mindspore import Tensor + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class FixHandler: + + def __init__(self, api_name: str): + self.api_name = api_name + + @staticmethod + def use_fuzzed_result(original_result, fuzzed_result): + if isinstance(original_result, Tensor): + return fuzzed_result.to(original_result.dtype) + if isinstance(original_result, dict): + dict_fixed_result = dict() + for k, v in original_result.items(): + dict_fixed_result[k] = FixHandler.use_fuzzed_result(v, fuzzed_result[k]) + return dict_fixed_result + if isinstance(original_result, (tuple, list)): + list_fixed_result = list() + for i, v in enumerate(original_result): + list_fixed_result.append(FixHandler.use_fuzzed_result(v, fuzzed_result[i])) + return type(original_result)(list_fixed_result) + return original_result + + def handle(self, params: HandlerParams) -> Any: + try: + return FixHandler.use_fuzzed_result(params.original_result, params.fuzzed_result) + except Exception as e: + logger.error(f"{self.api_name} failed to fix.") + logger.error(str(e)) + return params.original_result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py new file mode 100644 index 0000000000..8d709cb0d7 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py @@ -0,0 +1,21 @@ +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.core.common.const import MsFreeBenchmarkConst +from .check_handler import CheckHandler +from .fix_handler import FixHandler + + +class HandlerFactory: + result_handlers = { + MsFreeBenchmarkConst.CHECK: CheckHandler, + MsFreeBenchmarkConst.FIX: FixHandler, + } + + @staticmethod + def create(api_name: str): + handler = HandlerFactory.result_handlers.get(Config.handler_type) + if handler: + return handler(api_name) + else: + logger.error(f"{Config.handler_type} is not supported.") + raise Exception diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py new file mode 100644 index 0000000000..28969e4532 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py @@ -0,0 +1,67 @@ +from typing import Any + +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.core.common.const import MsFreeBenchmarkConst + + +class AddNoisePerturbation(BasePerturbation): + + def handle(self, params: HandlerParams) -> Any: + """ + 返回增加扰动后的api输出 + + """ + params.fuzzed_value = self.add_noise(params.args[params.index]) + if not self.is_fuzzed: + logger.warning(f"{self.api_name} can not add noise.") + return False + return self.get_fuzzed_result(params) + + def add_noise(self, inputs) -> Any: + """ + 返回增加扰动后的api输入 + + """ + if isinstance(inputs, Tensor): + noise = self._get_noise(inputs) + if noise: + result = ops.where(ops.abs(inputs) > self.perturbation_value ** 0.5, + ops.add(noise, inputs), inputs) + result = result.type(dtype=inputs.dtype) + self.is_fuzzed = True + return result + + if isinstance(inputs, dict): + return {k: self.add_noise(v) for k, v in inputs.items()} + + if isinstance(inputs, (list, tuple)): + return [self.add_noise(v) for v in inputs] + + return inputs + + def _get_noise(self, input): + """ + 得到要添加的噪声值 + + """ + if self.is_fuzzed: + return False + if not ops.is_floating_point(input) or ops.numel(input) == 0: + return False + + pert_value = MsFreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) + if not pert_value: + return False + else: + self.perturbation_value = pert_value + + max_val = ops.max(ops.abs(input))[0].item() + if max_val < pert_value: + return False + + noise = ops.full(input.shape, self.perturbation_value, dtype=input.dtype) + return noise diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py new file mode 100644 index 0000000000..becfe2964a --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py @@ -0,0 +1,21 @@ +from typing import Any + +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class BasePerturbation: + + def __init__(self, api_name: str): + self.api_name = api_name + self.is_fuzzed = False + self.perturbation_value = None + + @staticmethod + def get_fuzzed_result(params: HandlerParams): + args_front = params.args[:params.index] + args_rear = params.args[params.index + 1:] + fuzzed_result = params.original_func(*args_front, params.fuzzed_value, *args_rear, **params.kwargs) + return fuzzed_result + + def handler(self, params: HandlerParams) -> Any: + pass diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py new file mode 100644 index 0000000000..13efb1f37d --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py @@ -0,0 +1,63 @@ +from typing import Any + +import numpy as np +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation + + +class BitNoisePerturbation(BasePerturbation): + + def add_bit_noise(self, inputs) -> Any: + if isinstance(inputs, Tensor): + bit_len_type = self._get_bit_len_type(inputs) + if bit_len_type: + sub_normal_np = np.finfo(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)).smallest_normal + sub_normal = Tensor(sub_normal_np) + noise_type = list(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.keys())[ + list(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.values()).index(bit_len_type)] + noise = ops.full(inputs.shape, 1, dtype=noise_type) + input_np = inputs.asnumpy() + input_np_int = input_np.view(bit_len_type) + result = Tensor(input_np_int) + result = ops.where(ops.abs(inputs) > sub_normal, + ops.bitwise_xor(result, noise), result) + result_np = result.asnumpy() + result_np_float = result_np.view(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)) + self.is_fuzzed = True + return Tensor(result_np_float) + + if isinstance(inputs, dict): + return {k: self.add_bit_noise(v) for k, v in inputs.items()} + if isinstance(inputs, (tuple, list)): + return type(inputs)([self.add_bit_noise(v) for v in inputs]) + return inputs + + def handle(self, params: HandlerParams) -> any: + args = params.args + params.fuzzed_value = self.add_bit_noise(params.args[params.index]) + if not self.is_fuzzed: + logger.warning(f"{self.api_name} can not add bit noise.") + return False + params.args = args + return self.get_fuzzed_result(params) + + def _get_bit_len_type(self, input): + if self.is_fuzzed: + return False + if not isinstance(input, Tensor) or not ops.is_floating_point(input) or \ + input.numel() == 0: + return False + bit_len_type = MsFreeBenchmarkConst.PERT_BIT_DICT.get(input.dtype) + if not bit_len_type: + return False + pert_value = MsFreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) + if not pert_value: + return False + max_val = ops.max(ops.abs(input))[0].item() + if max_val < pert_value: + return False + return bit_len_type diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py new file mode 100644 index 0000000000..c325361879 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py @@ -0,0 +1,34 @@ +from typing import Any + +import mindspore as ms +from mindspore import Tensor, ops + +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.log import logger + + +class ImprovePrecisionPerturbation(BasePerturbation): + + def improve_tensor_precision(self, target_tensor): + if isinstance(target_tensor, Tensor) and ops.is_floating_point(target_tensor) and \ + target_tensor.dtype not in [ms.float64, ms.float32]: + self.is_fuzzed = True + return target_tensor.to(ms.float32) + if isinstance(target_tensor, dict): + return {k: self.improve_tensor_precision(v) for k, v in target_tensor.items()} + if isinstance(target_tensor, (tuple, list)): + return type(target_tensor)([self.improve_tensor_precision(v) for v in target_tensor]) + return target_tensor + + def handle(self, params: HandlerParams) -> Any: + args = self.improve_tensor_precision(params.args) + kwargs = self.improve_tensor_precision(params.kwargs) + fuzzed_value = args + if self.api_name in MsFreeBenchmarkConst.COMMUNICATION_API_LIST: + params.fuzzed_value = fuzzed_value + if not self.is_fuzzed: + logger.warning(f"{self.api_name} can not improve precision.") + return False + return params.original_func(*args, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py new file mode 100644 index 0000000000..fc844bfd6b --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py @@ -0,0 +1,12 @@ +from typing import Any + +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class NoChangePerturbation(BasePerturbation): + + def handle(self, params: HandlerParams) -> Any: + params.fuzzed_value = params.args[params.index] + self.is_fuzzed = True + return self.get_fuzzed_result(params) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py new file mode 100644 index 0000000000..01d1fa6e78 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py @@ -0,0 +1,27 @@ +from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.config import Config +from .add_noise import AddNoisePerturbation +from .bit_noise import BitNoisePerturbation +from .no_change import NoChangePerturbation +from .improve_precision import ImprovePrecisionPerturbation + + +class PerturbationFactory: + """ + 扰动工厂类 + + """ + perturbations = { + MsFreeBenchmarkConst.IMPROVE_PRECISION: ImprovePrecisionPerturbation, + MsFreeBenchmarkConst.ADD_NOISE: AddNoisePerturbation, + MsFreeBenchmarkConst.BIT_NOISE: BitNoisePerturbation, + MsFreeBenchmarkConst.NO_CHANGE: NoChangePerturbation, + } + + @staticmethod + def create(api_name: str): + perturbation = PerturbationFactory.perturbations.get(Config.pert_type) + if perturbation: + return perturbation(api_name) + else: + raise Exception(f'{Config.pert_type} is a invalid perturbation type') diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py new file mode 100644 index 0000000000..c9a0d8a65a --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py @@ -0,0 +1,33 @@ +from msprobe.core.common.const import MsConst +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from msprobe.mindspore.free_benchmark.api_pynative_self_check import ApiPyNativeSelFCheck + + +class SelfCheckToolFactory: + tools = { + MsConst.CELL: { + MsConst.GRAPH_KBYK_MODE: None, + MsConst.GRAPH_GE_MODE: None, + MsConst.PYNATIVE_MODE: None + }, + MsConst.API: { + MsConst.GRAPH_KBYK_MODE: None, + MsConst.GRAPH_GE_MODE: None, + MsConst.PYNATIVE_MODE: ApiPyNativeSelFCheck + }, + MsConst.KERNEL: { + MsConst.GRAPH_KBYK_MODE: None, + MsConst.GRAPH_GE_MODE: None, + MsConst.PYNATIVE_MODE: None + } + } + + @staticmethod + def create(config: DebuggerConfig): + tool = SelfCheckToolFactory.tools.get(config.level) + if not tool: + raise Exception(f"{config.level} is not supported.") + tool = tool.get(config.execution_mode) + if not tool: + raise Exception(f"Task free_benchmark is not supported in this mode: {config.execution_mode}.") + return tool(config) diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index c0ef6bb6c0..56da70e164 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -1,7 +1,9 @@ import json + from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.core.common.file_check import FileOpen -from msprobe.core.common.const import Const +from msprobe.core.common.const import Const, MsFreeBenchmarkConst +from msprobe.mindspore.common.log import logger class TensorConfig(BaseConfig): @@ -51,10 +53,32 @@ class OverflowCheckConfig(BaseConfig): raise Exception("check_mode is invalid") +class FreeBenchmarkConfig(BaseConfig): + def __init__(self, task_config): + super().__init__(task_config) + self._check_config() + + def _check_config(self): + if self.fuzz_device and self.fuzz_device not in MsFreeBenchmarkConst.DEVICE_LIST: + raise Exception("fuzz_device must be npu or empty") + if self.pert_mode and self.pert_mode not in MsFreeBenchmarkConst.PERT_TYPE_LIST: + raise Exception("pert_mode must be improve_precision, add_noise, bit_noise , no_change or empty") + if self.handler_type and self.handler_type not in MsFreeBenchmarkConst.HANDLER_TYPE_LIST: + raise Exception("handler_type must be check or empty") + if self.fuzz_level and self.fuzz_level not in MsFreeBenchmarkConst.DUMP_LEVEL_LIST: + raise Exception("fuzz_level must be L1 or empty") + if self.fuzz_stage and self.fuzz_stage not in MsFreeBenchmarkConst.STAGE_LIST: + raise Exception("fuzz_stage must be forward or empty") + if self.if_preheat or self.preheat_step or self.max_sample: + logger.warning("'if_preheat', 'preheat_step' and 'max_sample' settings " + "are not supported for mindspore free benchmark task.") + + TaskDict = { Const.TENSOR: TensorConfig, Const.STATISTICS: StatisticsConfig, Const.OVERFLOW_CHECK: OverflowCheckConfig, + Const.FREE_BENCHMARK: FreeBenchmarkConfig } diff --git a/debug/accuracy_tools/msprobe/mindspore/runtime.py b/debug/accuracy_tools/msprobe/mindspore/runtime.py new file mode 100644 index 0000000000..380b30d978 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/runtime.py @@ -0,0 +1,4 @@ +class Runtime: + step_count: int = 0 + rank_id: int = -1 + is_running: bool = False diff --git a/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py b/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py index 7b7e6fd889..45fff4cd48 100644 --- a/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py @@ -1,17 +1,22 @@ +from msprobe.core.common.const import Const, MsConst from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.dump.dump_tool_factory import DumpToolFactory from msprobe.mindspore.overflow_check.overflow_check_tool_factory import OverflowCheckToolFactory +from msprobe.mindspore.free_benchmark.self_check_tool_factory import SelfCheckToolFactory class TaskHandlerFactory: tasks = { - "tensor": DumpToolFactory, - "statistics": DumpToolFactory, - "overflow_check": OverflowCheckToolFactory + Const.TENSOR: DumpToolFactory, + Const.STATISTICS: DumpToolFactory, + Const.OVERFLOW_CHECK: OverflowCheckToolFactory, + Const.FREE_BENCHMARK: SelfCheckToolFactory } @staticmethod def create(config: DebuggerConfig): + if config.execution_mode == MsConst.PYNATIVE_MODE and config.task != Const.FREE_BENCHMARK: + raise Exception("Current Task can't run in pynative mode.") task = TaskHandlerFactory.tasks.get(config.task) if not task: raise Exception("valid task is needed.") diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py index 30212d95e6..fb408e83bb 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py @@ -19,7 +19,7 @@ from unittest.mock import patch, mock_open from msprobe.core.common.const import Const from msprobe.mindspore.ms_config import (parse_json_config, parse_task_config, - TensorConfig, StatisticsConfig, OverflowCheckConfig) + TensorConfig, StatisticsConfig, OverflowCheckConfig, FreeBenchmarkConfig) class TestMsConfig(TestCase): @@ -64,6 +64,9 @@ class TestMsConfig(TestCase): task_config = parse_task_config("overflow_check", mock_json_config) self.assertTrue(isinstance(task_config, OverflowCheckConfig)) + task_config = parse_task_config("free_benchmark", mock_json_config) + self.assertTrue(isinstance(task_config, FreeBenchmarkConfig)) + with self.assertRaises(Exception) as context: - parse_task_config("free_benchmark", mock_json_config) + parse_task_config("unsupported_task", mock_json_config) self.assertEqual(str(context.exception), "task is invalid.") diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py index 41be7b1db6..699df3baec 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py @@ -21,6 +21,7 @@ from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.dump.kernel_graph_dump import KernelGraphDump from msprobe.mindspore.task_handler_factory import TaskHandlerFactory +from msprobe.core.common.const import MsConst class TestTaskHandlerFactory(TestCase): @@ -43,6 +44,7 @@ class TestTaskHandlerFactory(TestCase): common_config = CommonConfig(json_config) task_config = BaseConfig(json_config) config = DebuggerConfig(common_config, task_config) + config.execution_mode = MsConst.GRAPH_GE_MODE handler = TaskHandlerFactory.create(config) self.assertTrue(isinstance(handler, KernelGraphDump)) @@ -52,7 +54,7 @@ class TestTaskHandlerFactory(TestCase): TaskHandlerFactory.create(config) self.assertEqual(str(context.exception), "Can not find task handler") - config.task = "free_benchmark" + config.task = "Free_benchmark" with self.assertRaises(Exception) as context: TaskHandlerFactory.create(config) self.assertEqual(str(context.exception), "valid task is needed.") -- Gitee From 8781b80be214a46828af172bbe09180cee3d54ec Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Tue, 6 Aug 2024 10:30:08 +0800 Subject: [PATCH 044/160] compare_distributed cli add --- debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py index 07e3b7710d..9443e5ef06 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py @@ -2,6 +2,7 @@ import json from msprobe.core.common.file_check import FileOpen, check_file_type from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException +from msprobe.pytorch.common.log import logger from msprobe.pytorch.compare.acc_compare import compare from msprobe.pytorch.compare.distributed_compare import compare_distributed @@ -15,7 +16,8 @@ def compare_cli(args): compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: - compare_distributed(npu_path, bench_path, args.output_path) + kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} + compare_distributed(npu_path, bench_path, args.output_path, **kwargs) else: logger.error("The npu_path and bench_path need to be of the same type.") raise CompareException(CompareException.INVALID_COMPARE_MODE) -- Gitee From cc348a490bef55299f87957ced81328f438cb7f9 Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Tue, 6 Aug 2024 10:45:29 +0800 Subject: [PATCH 045/160] mindspore free benchmark V1.1 --- .../free_benchmark/api_pynative_self_check.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py index 7f59556dc7..2c4c0c856e 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py @@ -6,7 +6,7 @@ import yaml import mindspore as ms from mindspore.communication import comm_func -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.core.common.const import Const, MsFreeBenchmarkConst from msprobe.mindspore.free_benchmark.common.config import Config from msprobe.core.common.file_check import check_path_length, FileOpen from msprobe.mindspore.common.log import logger @@ -41,7 +41,7 @@ class ApiPyNativeSelFCheck: def get_supported_ops(): supported_ops = [] cur_path = os.path.dirname(os.path.realpath(__file__)) - yaml_path = os.path.join(cur_path, "./data/support_wrap_ops.yaml") + yaml_path = os.path.join(cur_path, "data", "support_wrap_ops.yaml") for k, v in MsFreeBenchmarkConst.API_PREFIX_DICT.items(): with FileOpen(yaml_path, 'r') as f: @@ -55,7 +55,6 @@ def get_supported_ops(): ms_ops = [MsFreeBenchmarkConst.OPS_PREFIX + i for i in ms_ops] _all_functional_ops += ms_ops - _all_functional_ops = [] ms_tensor = dir(ms.Tensor) ms_tensor = [MsFreeBenchmarkConst.Tensor_PREFIX + i for i in ms_tensor] _all_functional_ops += ms_tensor @@ -92,12 +91,12 @@ def get_wrapper_obj(orig_func, api_name): def get_module(api_name): - func_name_list = api_name.split('.') + func_name_list = api_name.split(Const.SEP) func_name = func_name_list[-1] module_obj = importlib.import_module(func_name_list[0]) for i, module_name in enumerate(func_name_list[1:-1]): if not hasattr(module_obj, module_name): - importlib.import_module(f"{'.'.join(func_name_list[:i+2])}") + importlib.import_module(f"{Const.SEP.join(func_name_list[:i+2])}") module_obj = getattr(module_obj, module_name) orig_func = getattr(module_obj, func_name) @@ -105,10 +104,10 @@ def get_module(api_name): def hijack(api_name): - if len(api_name.strip()) == 0: + if not api_name.strip() == 0: return try: - func_name = api_name.split('.')[-1] + func_name = api_name.split(Const.SEP)[-1] module_obj, origin_func = get_module(api_name) wrapped_obj = get_wrapper_obj(origin_func, api_name) setattr(module_obj, func_name, wrapped_obj) -- Gitee From 895122ccd67c6d3f68dbf3fed5dcab1b90a5a637 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Tue, 6 Aug 2024 10:54:23 +0800 Subject: [PATCH 046/160] compare_distributed cli add --- debug/accuracy_tools/msprobe/msprobe.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 2963a52a0a..d829d7b9e9 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -68,9 +68,6 @@ def main(): _run_overflow_check_command(args) elif sys.argv[3] == "compare": compare_cli(args) - else: - if sys.argv[3] == "compare": - pass if __name__ == "__main__": -- Gitee From b5631743714b77de60c0811618f733f6dadba04c Mon Sep 17 00:00:00 2001 From: wugengjun <451676383@qq.com> Date: Tue, 6 Aug 2024 10:54:54 +0800 Subject: [PATCH 047/160] =?UTF-8?q?=E8=A1=A5=E5=85=85=E6=97=A0=E6=A0=87?= =?UTF-8?q?=E6=9D=86=E6=98=BE=E5=AD=98=E4=BC=98=E5=8C=96ut?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../result_handlers/test_result_handler.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py index 399efeb42d..a0beebec53 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py @@ -15,6 +15,7 @@ from msprobe.pytorch.free_benchmark.common.params import DataParams, make_handle from msprobe.pytorch.free_benchmark.result_handlers.handler_factory import ( FuzzHandlerFactory, ) +from msprobe.pytorch.free_benchmark.result_handlers.base_handler import FuzzHandler class Config(ABC): @@ -119,3 +120,18 @@ class TestFuzzHandler(TestCase): api_threshld, ThresholdConfig.DTYPE_PER_THD[torch.float16] ) + + def test_tensor_split_for_error_calculate(self): + tensor_size = 256 * 1024 * 1024 + origin_output = torch.randn(tensor_size, dtype=torch.float32) + perturbed_output = torch.randn(tensor_size, dtype=torch.float32) + + origin_output_chunks, perturbed_output_chunks = FuzzHandler.tensor_split_for_error_calculate( + origin_output, perturbed_output) + + self.assertEqual(len(origin_output_chunks), 64) + self.assertEqual(len(perturbed_output_chunks), 64) + for chunk in origin_output_chunks: + self.assertEqual(chunk.shape, (4 * 1024 * 1024,)) + for chunk in perturbed_output_chunks: + self.assertEqual(chunk.shape, (4 * 1024 * 1024,)) -- Gitee From 5ad83e9faf0573ec74483574fa13716280e7624b Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Tue, 6 Aug 2024 11:32:20 +0800 Subject: [PATCH 048/160] mindspore free benchmark V1.2 --- .../mindspore/free_benchmark/decorator/decorator_factory.py | 1 - debug/accuracy_tools/msprobe/mindspore/ms_config.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py index d5aeac5d48..326758fde7 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py @@ -63,7 +63,6 @@ def stack_depth_check(api_name) -> bool: if frame.f_code.co_name == "fuzz_wrapper": nested_depth -= 1 if nested_depth < 0: - logger.warning(f"[{api_name}] Stack full. Exit staking.") return False frame = frame.f_back return True diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index 56da70e164..ad5de0bf34 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -64,7 +64,7 @@ class FreeBenchmarkConfig(BaseConfig): if self.pert_mode and self.pert_mode not in MsFreeBenchmarkConst.PERT_TYPE_LIST: raise Exception("pert_mode must be improve_precision, add_noise, bit_noise , no_change or empty") if self.handler_type and self.handler_type not in MsFreeBenchmarkConst.HANDLER_TYPE_LIST: - raise Exception("handler_type must be check or empty") + raise Exception("handler_type must be check, fix or empty") if self.fuzz_level and self.fuzz_level not in MsFreeBenchmarkConst.DUMP_LEVEL_LIST: raise Exception("fuzz_level must be L1 or empty") if self.fuzz_stage and self.fuzz_stage not in MsFreeBenchmarkConst.STAGE_LIST: -- Gitee From 9a89bf7e06cf4fc2be1bcda8b3c49625524cc436 Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Tue, 6 Aug 2024 12:36:06 +0800 Subject: [PATCH 049/160] mindspore free benchmark V1.3 --- .../mindspore/free_benchmark/api_pynative_self_check.py | 2 +- .../free_benchmark/decorator/decorator_factory.py | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py index 2c4c0c856e..541ba14f4e 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py @@ -104,7 +104,7 @@ def get_module(api_name): def hijack(api_name): - if not api_name.strip() == 0: + if not api_name.strip(): return try: func_name = api_name.split(Const.SEP)[-1] diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py index 326758fde7..c1cf50e9c3 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py @@ -28,7 +28,7 @@ def decorate(original_func, decorate_func, api_name=None): try: if Runtime.rank_id == -1: Runtime.rank_id = os.environ.get("RANK_ID", -1) - if need_wrapper_func(api_name): + if need_wrapper_func(): logger.info(f"[{api_name}] is checking.") return __exec_decorate_func() except Exception as e: @@ -56,7 +56,7 @@ def decorate_forward_function(func, api_name=None): return decorate(func, forward_func, api_name) -def stack_depth_check(api_name) -> bool: +def stack_depth_check() -> bool: nested_depth = 1 frame = sys._getframe(1) while frame: @@ -95,10 +95,10 @@ def data_pre_deal(api_name, func, *args, **kwargs): return params -def need_wrapper_func(api_name): +def need_wrapper_func(): if not (Runtime.is_running and Config.is_enable): return False - if not stack_depth_check(api_name): + if not stack_depth_check(): return False if Config.steps and Runtime.step_count not in Config.steps: return False -- Gitee From 90cf4a300e97169d20e9a47af9aea197f4e726c1 Mon Sep 17 00:00:00 2001 From: zhouyiyan Date: Mon, 5 Aug 2024 20:24:43 +0800 Subject: [PATCH 050/160] 82 --- .../overall_performance_comparator.py | 4 +- .../compare_bean/profiling_info.py | 144 ++++++++---------- .../profiling_parser/gpu_profiling_parser.py | 37 ++--- .../profiling_parser/npu_profiling_parser.py | 44 +++--- .../compare_bean/test_profiling_info.py | 54 +++---- .../test_gpu_profiling_parser.py | 20 +-- 6 files changed, 142 insertions(+), 161 deletions(-) diff --git a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py index 1c5cee43e6..3a94527bb0 100644 --- a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py +++ b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py @@ -13,11 +13,11 @@ class OverallPerformanceComparator(BaseComparator): base_col = [f'{base_profiling_info.profiling_type}'] comp_col = [f'{comp_profiling_info.profiling_type}'] if base_profiling_info.RDMA_bandwidth or comp_profiling_info.RDMA_bandwidth: - self._headers.extend(['RDMA Bandwidth(GB/s)']) + self._headers.extend(['RDMA Bandwidth']) base_col.append(f'{base_profiling_info.RDMA_bandwidth:.3f}GB/s') comp_col.append(f'{comp_profiling_info.RDMA_bandwidth:.3f}GB/s') if base_profiling_info.SDMA_bandwidth or comp_profiling_info.SDMA_bandwidth: - self._headers.extend(['SDMA Bandwidth(GB/s)']) + self._headers.extend(['SDMA Bandwidth']) base_col.append(f'{base_profiling_info.SDMA_bandwidth:.3f}GB/s') comp_col.append(f'{comp_profiling_info.SDMA_bandwidth:.3f}GB/s') if not base_profiling_info.hide_op_details and not comp_profiling_info.hide_op_details: diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index 10ac47d6e3..fe5781426e 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -8,20 +8,8 @@ class ProfilingInfo: def __init__(self, profiling_type: str): self.profiling_type = profiling_type - self.other_time = 0.0 - self.lccl_num = 0 - self.compute_time = 0.0 - self.communication_not_overlapped = 0.0 - self.wait_time = 0.0 - self.memory_used = 0.0 - self.e2e_time = 0.0 - self.scheduling_time = 0.0 - self.lccl_time = 0.0 - self.minimal_profiling = False - self.hide_op_details = False - self.is_level0 = False - self.cube_time = 0.0 + self.other_time = 0.0 self.vec_time = 0.0 self.cube_num = 0 self.vec_num = 0 @@ -29,14 +17,26 @@ class ProfilingInfo: self.fa_num_fwd = 0 self.fa_num_bwd = 0 self.pa_num = 0 + self.lccl_num = 0 self.conv_time_fwd = 0.0 self.conv_time_bwd = 0.0 self.conv_num_fwd = 0 self.conv_num_bwd = 0 + self.compute_time = 0.0 + self.communication_not_overlapped = 0.0 + self.wait_time = 0.0 + self.memory_used = 0.0 + self.e2e_time = 0.0 self.sdma_time = 0.0 + self.scheduling_time = 0.0 self.fa_time_bwd = 0.0 self.pa_time = 0.0 + self.lccl_time = 0.0 self.fa_time_fwd = 0.0 + self.minimal_profiling = False + self.hide_op_details = False + self.is_level0 = False + # 性能拆解新指标 self.fa_time_fwd_cube = 0.0 self.fa_num_fwd_cube = 0 @@ -78,6 +78,7 @@ class ProfilingInfo: self.other_cube_num = 0 self.RDMA_bandwidth = 0.0 self.SDMA_bandwidth = 0.0 + @property def e2e_time_ms(self): return self.e2e_time * 10 ** 3 @@ -136,16 +137,24 @@ class ProfilingInfo: @property def vector_total_num(self): return sum((self.vector_num_trans, self.vector_num_notrans)) - def trans_to_s(self): - self.cube_time /= 10 ** 3 - self.vec_time /= 10 ** 3 - self.conv_time_fwd /= 10 ** 3 - self.conv_time_bwd /= 10 ** 3 - self.sdma_time /= 10 ** 3 - self.fa_time_bwd /= 10 ** 3 - self.pa_time /= 10 ** 3 - self.fa_time_fwd /= 10 ** 3 + def trans_time_to_s(self): + self.cube_time = self.cube_time / 10 ** 6 + self.other_time = self.other_time / 10 ** 6 + self.vec_time = self.vec_time / 10 ** 6 + self.compute_time = self.compute_time / 10 ** 6 + self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 + self.wait_time = self.wait_time / 10 ** 6 + self.e2e_time = self.e2e_time / 10 ** 6 + self.sdma_time = self.sdma_time / 10 ** 6 + self.scheduling_time = self.scheduling_time / 10 ** 6 + self.fa_time_bwd = self.fa_time_bwd / 10 ** 6 + self.fa_time_fwd = self.fa_time_fwd / 10 ** 6 + self.pa_time = self.pa_time / 10 ** 6 + self.lccl_time = self.lccl_time / 10 ** 6 + self.conv_time_fwd = self.conv_time_fwd / 10 ** 6 + self.conv_time_bwd = self.conv_time_bwd / 10 ** 6 + # 新指标单位为ms self.fa_time_fwd_cube /= 10 ** 3 self.fa_time_bwd_cube /= 10 ** 3 @@ -163,70 +172,27 @@ class ProfilingInfo: self.sdma_time_stream /= 10 ** 3 self.page_attention_time /= 10 ** 3 self.other_cube_time /= 10 ** 3 - self.other_time = self.other_time / 10 ** 6 - self.compute_time = self.compute_time / 10 ** 6 - self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 - self.wait_time = self.wait_time / 10 ** 6 - self.e2e_time = self.e2e_time / 10 ** 6 - self.scheduling_time = self.scheduling_time / 10 ** 6 - self.lccl_time = self.lccl_time / 10 ** 6 - - def calculate_cube_time(self): - self.cube_time = self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time - - def calculate_vec_time(self): - self.vec_time = self.vector_time_trans + self.vector_time_notrans - - def calculate_cube_num(self): - self.cube_num = self.matmul_num_cube + self.matmul_num_vector + self.other_cube_num - - def calculate_vec_num(self): - self.vec_num = self.vector_num_trans + self.vector_num_notrans - - def calculate_sdma_num(self): - self.sdma_num = self.sdma_num_tensor_move + self.sdma_num_stream - - def calculate_fa_num_fwd(self): - self.fa_num_fwd = self.fa_num_fwd_cube + self.fa_num_fwd_vector - - def calculate_fa_num_bwd(self): - self.fa_num_bwd = self.fa_num_bwd_cube + self.fa_num_bwd_vector - - def calculate_pa_num(self): - self.pa_num = self.page_attention_num - - def calculate_pa_time(self): - self.pa_num = self.page_attention_num - - def calculate_conv_time_fwd(self): - self.conv_time_fwd = self.conv_time_fwd_cube + self.conv_time_fwd_vector - - def calculate_conv_time_bwd(self): - self.conv_time_bwd = self.conv_time_bwd_cube + self.conv_time_bwd_vector - - def calculate_conv_num_fwd(self): - self.conv_num_fwd = self.conv_num_fwd_cube + self.conv_num_fwd_vector - - def calculate_conv_num_bwd(self): - self.conv_num_bwd = self.conv_num_bwd_cube + self.conv_num_bwd_vector - - def calculate_sdma_time(self): - self.sdma_time = self.sdma_time_tensor_move + self.sdma_time_stream - - def calculate_fa_time_fwd(self): - self.fa_time_fwd = self.fa_time_fwd_cube + self.fa_time_fwd_vector - - def calculate_fa_time_bwd(self): - self.fa_time_bwd = self.fa_time_bwd_cube + self.fa_time_bwd_vector def calculate_other_time(self): self.other_time = max( [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - self.pa_time - self.vec_time - self.conv_time_fwd - self.conv_time_bwd]) + def calculate_vec_time(self): + self.vec_time = self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd \ + - self.conv_time_fwd - self.conv_time_bwd + def calculate_schedule_time(self): self.scheduling_time = (self.e2e_time - self.compute_time - self.lccl_time - self.communication_not_overlapped) + def update_fa_fwd_info(self, time: float): + self.fa_time_fwd += time + self.fa_num_fwd += 1 + + def update_fa_bwd_info(self, time: float): + self.fa_time_bwd += time + self.fa_num_bwd += 1 + def update_fa_fwd_cube_info(self, time: float): self.fa_time_fwd_cube += time self.fa_num_fwd_cube += 1 @@ -251,10 +217,22 @@ class ProfilingInfo: self.sdma_time_stream += time self.sdma_num_stream += num + def update_pa_info(self, time: float): + self.pa_time += time + self.pa_num += 1 + def update_lccl_info(self, time: float): self.lccl_time += time self.lccl_num += 1 + def update_conv_fwd_info(self, time: float): + self.conv_time_fwd += time + self.conv_num_fwd += 1 + + def update_conv_bwd_info(self, time: float): + self.conv_time_bwd += time + self.conv_num_bwd += 1 + def update_conv_bwd_cube_info(self, time: float): self.conv_time_bwd_cube += time self.conv_num_bwd_cube += 1 @@ -291,6 +269,18 @@ class ProfilingInfo: self.vector_time_notrans += time self.vector_num_notrans += 1 + def update_sdma_info(self, time: float, num: int = 1): + self.sdma_time += time + self.sdma_num += num + + def update_cube_info(self, time: float): + self.cube_time += time + self.cube_num += 1 + + def update_vec_info(self, time: float): + self.vec_time += time + self.vec_num += 1 + def update_other_cube_info(self, time: float): self.other_cube_time += time self.other_cube_num += 1 diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index bf5d398460..0aeeba83ef 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -61,25 +61,9 @@ class GPUProfilingParser(BaseProfilingParser): def _update_overall_metrics(self): self._calculate_performance_time() self.__parse_memory_reserved() - self._result_data.overall_metrics.trans_time_to_s() - self._result_data.overall_metrics.calculate_cube_time() self._result_data.overall_metrics.calculate_vec_time() - self._result_data.overall_metrics.calculate_cube_num() - self._result_data.overall_metrics.calculate_vec_num() - self._result_data.overall_metrics.calculate_sdma_num() - self._result_data.overall_metrics.calculate_fa_num_fwd() - self._result_data.overall_metrics.calculate_fa_num_bwd() - self._result_data.overall_metrics.calculate_pa_num() - self._result_data.overall_metrics.calculate_pa_time() - self._result_data.overall_metrics.calculate_conv_time_fwd() - self._result_data.overall_metrics.calculate_conv_time_bwd() - self._result_data.overall_metrics.calculate_conv_num_fwd() - self._result_data.overall_metrics.calculate_conv_num_bwd() - self._result_data.overall_metrics.calculate_sdma_time() - self._result_data.overall_metrics.calculate_fa_time_fwd() - self._result_data.overall_metrics.calculate_fa_time_bwd() self._result_data.overall_metrics.calculate_schedule_time() - self._result_data.overall_metrics.trans_to_s() + self._result_data.overall_metrics.trans_time_to_s() def _calculate_performance_time(self): min_ts = sys.float_info.max @@ -92,6 +76,7 @@ class GPUProfilingParser(BaseProfilingParser): min_ts = min(event.start_time, min_ts) max_ts = max(event.end_time, max_ts) if event.stream == self._compute_stream_id and self.__is_sdma_time(event.name): + self._result_data.overall_metrics.update_sdma_info(event.dur) self._result_data.overall_metrics.update_sdma_stream_info(event.dur) continue if not event.is_kernel_cat(): @@ -99,6 +84,7 @@ class GPUProfilingParser(BaseProfilingParser): self.__add_marks(event) if event.is_nccl_name(): continue + self.__add_compute_time(event, aten_events, flow_dict_new) self.categorize_computing_performance_data(event, flow_dict_new) self._aten_events = None self._result_data.overall_metrics.set_e2e_time(float(max_ts - min_ts)) @@ -118,6 +104,23 @@ class GPUProfilingParser(BaseProfilingParser): for timestep in range(int(event.start_time + 1), int(event.end_time + 1)): self._marks[str(timestep)] += -100 # mark this timestep in compute stream + def __add_compute_time(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict): + if self.__is_flash_attention(event.name): + if event.is_backward(): + self._result_data.overall_metrics.update_fa_bwd_info(event.dur) + else: + self._result_data.overall_metrics.update_fa_fwd_info(event.dur) + elif any(cube_mark in event.lower_name for cube_mark in self.CUBE_MARK): + is_conv = self.__check_is_conv(event, aten_events, flow_dict_new) + if is_conv == "conv_fwd": + self._result_data.overall_metrics.update_conv_fwd_info(event.dur) + elif is_conv == "conv_bwd": + self._result_data.overall_metrics.update_conv_bwd_info(event.dur) + else: + self._result_data.overall_metrics.update_cube_info(event.dur) + else: + self._result_data.overall_metrics.update_vec_info(event.dur) + def __check_is_conv(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict) -> str: flow_start_time = flow_dict_new.get(event.start_time) if not flow_start_time: diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 1d00332b46..5a556b8a6b 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -79,6 +79,7 @@ class NPUProfilingParser(BaseProfilingParser): print("[ERROR] Failed to enable enable_kernel_compare, type of kernel_details.csv is null.") return self._result_data.update_kernel_details(kernels_dict) + def _update_memory_list(self): try: memory_data = FileReader.read_csv_file(self._operator_memory_path, OperatorMemoryBean) @@ -159,26 +160,9 @@ class NPUProfilingParser(BaseProfilingParser): self.__add_overlap_analysis_time() self._picking_notify_wait_event_and_not_overlap_event() self.__add_overlap_wait_time() + self._result_data.overall_metrics.calculate_other_time() self._result_data.overall_metrics.calculate_schedule_time() self._result_data.overall_metrics.trans_time_to_s() - self._result_data.overall_metrics.calculate_cube_time() - self._result_data.overall_metrics.calculate_vec_time() - self._result_data.overall_metrics.calculate_cube_num() - self._result_data.overall_metrics.calculate_vec_num() - self._result_data.overall_metrics.calculate_sdma_num() - self._result_data.overall_metrics.calculate_fa_num_fwd() - self._result_data.overall_metrics.calculate_fa_num_bwd() - self._result_data.overall_metrics.calculate_pa_num() - self._result_data.overall_metrics.calculate_pa_time() - self._result_data.overall_metrics.calculate_conv_time_fwd() - self._result_data.overall_metrics.calculate_conv_time_bwd() - self._result_data.overall_metrics.calculate_conv_num_fwd() - self._result_data.overall_metrics.calculate_conv_num_bwd() - self._result_data.overall_metrics.calculate_sdma_time() - self._result_data.overall_metrics.calculate_fa_time_fwd() - self._result_data.overall_metrics.calculate_fa_time_bwd() - self._result_data.overall_metrics.trans_to_s() - self._result_data.overall_metrics.calculate_other_time() self._update_bandwidth() def _picking_notify_wait_event_and_not_overlap_event(self): self.notify_event_cache = [] @@ -317,6 +301,28 @@ class NPUProfilingParser(BaseProfilingParser): self._result_data.overall_metrics.update_lccl_info(event.dur) def __parse_kernel_csv(self): + def __screen_data(kernel: KernelDetailsBean): + if kernel.is_flash_attention(): + if kernel.is_fa_bwd(): + self._result_data.overall_metrics.update_fa_bwd_info(kernel.duration) + else: + self._result_data.overall_metrics.update_fa_fwd_info(kernel.duration) + elif kernel.is_conv(): + if kernel.is_conv_bwd(): + self._result_data.overall_metrics.update_conv_bwd_info(kernel.duration) + else: + self._result_data.overall_metrics.update_conv_fwd_info(kernel.duration) + elif kernel.is_matmul(): + self._result_data.overall_metrics.update_cube_info(kernel.duration) + elif kernel.is_sdma(): + self._result_data.overall_metrics.update_sdma_info(kernel.duration) + elif kernel.is_page_attention(): + self._result_data.overall_metrics.update_pa_info(kernel.duration) + elif kernel.is_vector(): + self._result_data.overall_metrics.update_vec_info(kernel.duration) + else: + self._result_data.overall_metrics.update_cube_info(kernel.duration) + try: kernel_details = FileReader.read_csv_file(self._kernel_detail_path, KernelDetailsBean) except Exception: @@ -330,6 +336,7 @@ class NPUProfilingParser(BaseProfilingParser): for kernel in kernel_details: if kernel.is_invalid(): continue + __screen_data(kernel) self.categorize_computing_performance_data(kernel, flow_dict_new) def __parse_mem_csv(self): @@ -376,4 +383,5 @@ class NPUProfilingParser(BaseProfilingParser): compute_stream = event_wait_stream & ai_core_stream if event_wait_stream else ai_core_stream for stream in compute_stream: dur_list = sdma_dict.get(stream, []) + self._result_data.overall_metrics.update_sdma_info(sum(dur_list), len(dur_list)) self._result_data.overall_metrics.update_sdma_stream_info(sum(dur_list), len(dur_list)) diff --git a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py index e6d543a773..dc85b0af0a 100644 --- a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py +++ b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py @@ -36,60 +36,40 @@ class TestProfilingInfo(unittest.TestCase): def test_update_fa_fwd_info(self): info = ProfilingInfo("NPU") - info.fa_time_fwd_cube = 5 - info.fa_time_fwd_vector = 5 - info.fa_num_fwd_cube = 1 - info.fa_num_fwd_vector = 1 - info.calculate_fa_time_fwd() - info.calculate_fa_num_fwd() + info.update_fa_fwd_info(5) + info.update_fa_fwd_info(5) self.assertEqual(info.fa_time_fwd, 10) self.assertEqual(info.fa_num_fwd, 2) def test_update_fa_bwd_info(self): info = ProfilingInfo("NPU") - info.fa_time_bwd_cube = 5 - info.fa_time_bwd_vector = 5 - info.fa_num_bwd_cube = 1 - info.fa_num_bwd_vector = 1 - info.calculate_fa_time_bwd() - info.calculate_fa_num_bwd() + info.update_fa_bwd_info(5) + info.update_fa_bwd_info(5) self.assertEqual(info.fa_time_bwd, 10) self.assertEqual(info.fa_num_bwd, 2) def test_update_sdma_info(self): info = ProfilingInfo("NPU") - info.sdma_time_tensor_move = 5 - info.sdma_time_stream = 5 - info.sdma_num_tensor_move = 5 - info.sdma_num_stream = 5 - info.calculate_sdma_time() - info.calculate_sdma_num() + info.update_sdma_info(5) + self.assertEqual(info.sdma_time, 5) + self.assertEqual(info.sdma_num, 1) + info.update_sdma_info(5, 5) self.assertEqual(info.sdma_time, 10) - self.assertEqual(info.sdma_num, 10) + self.assertEqual(info.sdma_num, 6) def test_update_cube_info(self): info = ProfilingInfo("NPU") - info.matmul_time_cube = 1 - info.matmul_time_vector = 1 - info.other_cube_time = 1 - info.matmul_num_cube = 5 - info.matmul_num_vector = 5 - info.other_cube_num = 5 - info.calculate_cube_time() - info.calculate_cube_num() - self.assertEqual(info.cube_time, 3) - self.assertEqual(info.cube_num, 15) + info.update_cube_info(5) + info.update_cube_info(5) + self.assertEqual(info.cube_time, 10) + self.assertEqual(info.cube_num, 2) def test_update_vec_info(self): info = ProfilingInfo("NPU") - info.vector_time_trans = 1 - info.vector_time_notrans = 1 - info.vector_num_trans = 2 - info.vector_num_notrans = 2 - info.calculate_vec_time() - info.calculate_vec_num() - self.assertEqual(info.vec_time, 2) - self.assertEqual(info.vec_num, 4) + info.update_vec_info(5) + info.update_vec_info(5) + self.assertEqual(info.vec_time, 10) + self.assertEqual(info.vec_num, 2) def test_set_compute_time(self): info = ProfilingInfo("NPU") diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index 93c6e38556..d7cb3d0588 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -76,16 +76,16 @@ class TestGpuProfilingParser(unittest.TestCase): res._marks = defaultdict(int) res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) - self.assertEqual(res._result_data.overall_metrics.sdma_time, 0) - self.assertEqual(res._result_data.overall_metrics.sdma_num, 0) - self.assertEqual(res._result_data.overall_metrics.cube_time, 0) - self.assertEqual(res._result_data.overall_metrics.cube_num, 0) - self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 0) - self.assertEqual(res._result_data.overall_metrics.fa_num_fwd, 0) - self.assertEqual(res._result_data.overall_metrics.fa_time_bwd, 0) - self.assertEqual(res._result_data.overall_metrics.fa_num_bwd, 0) - self.assertEqual(res._result_data.overall_metrics.vec_time, 0) - self.assertEqual(res._result_data.overall_metrics.vec_num, 0) # cun yi + self.assertEqual(res._result_data.overall_metrics.sdma_time, 4) + self.assertEqual(res._result_data.overall_metrics.sdma_num, 4) + self.assertEqual(res._result_data.overall_metrics.cube_time, 1) + self.assertEqual(res._result_data.overall_metrics.cube_num, 1) + self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 2) + self.assertEqual(res._result_data.overall_metrics.fa_num_fwd, 2) + self.assertEqual(res._result_data.overall_metrics.fa_time_bwd, 2) + self.assertEqual(res._result_data.overall_metrics.fa_num_bwd, 2) + self.assertEqual(res._result_data.overall_metrics.vec_time, 2) + self.assertEqual(res._result_data.overall_metrics.vec_num, 2) # cun yi self.assertEqual(res._result_data.overall_metrics.communication_not_overlapped, 2) self.assertEqual(res._result_data.overall_metrics.compute_time, 7) -- Gitee From 61853217cbf9078205a549e4ae9b05b29314ab9b Mon Sep 17 00:00:00 2001 From: wugengjun <451676383@qq.com> Date: Tue, 6 Aug 2024 14:16:26 +0800 Subject: [PATCH 051/160] =?UTF-8?q?=E8=A1=A5=E5=85=85=E6=97=A0=E6=A0=87?= =?UTF-8?q?=E6=9D=86=E6=98=BE=E5=AD=98=E4=BC=98=E5=8C=96ut?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../free_benchmark/result_handlers/test_result_handler.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py index a0beebec53..8be3be413f 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py @@ -122,13 +122,16 @@ class TestFuzzHandler(TestCase): ) def test_tensor_split_for_error_calculate(self): + # 设置模拟的张量的大小 tensor_size = 256 * 1024 * 1024 origin_output = torch.randn(tensor_size, dtype=torch.float32) perturbed_output = torch.randn(tensor_size, dtype=torch.float32) + # 调用tensor_split_for_error_calculate方法 origin_output_chunks, perturbed_output_chunks = FuzzHandler.tensor_split_for_error_calculate( origin_output, perturbed_output) + # 验证返回的chunks数量和形状是否正确 self.assertEqual(len(origin_output_chunks), 64) self.assertEqual(len(perturbed_output_chunks), 64) for chunk in origin_output_chunks: -- Gitee From 3c67b1e347989843a3f36dd99cdfe9e1c44c7208 Mon Sep 17 00:00:00 2001 From: qianzhengxin Date: Tue, 6 Aug 2024 14:35:23 +0800 Subject: [PATCH 052/160] bug fix no module error & parameters name contain special character --- debug/accuracy_tools/grad_tool/common/constant.py | 2 +- debug/accuracy_tools/grad_tool/common/utils.py | 3 +-- debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py | 3 --- 3 files changed, 2 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/grad_tool/common/constant.py b/debug/accuracy_tools/grad_tool/common/constant.py index 38d33e9886..7904c1d424 100644 --- a/debug/accuracy_tools/grad_tool/common/constant.py +++ b/debug/accuracy_tools/grad_tool/common/constant.py @@ -39,7 +39,7 @@ class GradConst: DIRECTORY_LENGTH = 4096 FILE_NAME_LENGTH = 255 FILE_VALID_PATTERN = r"^[a-zA-Z0-9_.:/-]+$" - PARAM_VALID_PATTERN = r"^[a-zA-Z0-9.]+$" + PARAM_VALID_PATTERN = r"^[a-zA-Z0-9_.:-]+$" DIR = "dir" FILE = "file" diff --git a/debug/accuracy_tools/grad_tool/common/utils.py b/debug/accuracy_tools/grad_tool/common/utils.py index fceda8ce0f..f40f8688c2 100644 --- a/debug/accuracy_tools/grad_tool/common/utils.py +++ b/debug/accuracy_tools/grad_tool/common/utils.py @@ -7,7 +7,6 @@ import yaml import pandas as pd from grad_tool.common.constant import GradConst -from ptdbg_ascend.src.python.ptdbg_ascend.common.file_check_util import FileOpen def _print_log(level, msg, end='\n'): @@ -115,7 +114,7 @@ class ListCache(list): def get_config(filepath): - with FileOpen(filepath, 'r') as file: + with open(filepath, 'r') as file: config = yaml.safe_load(file) return config diff --git a/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py b/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py index c843df3884..fa794a681a 100644 --- a/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py +++ b/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py @@ -16,7 +16,6 @@ from grad_tool.common.utils import ListCache, print_warn_log from grad_tool.common.utils import create_directory, check_file_or_directory_path, write_csv from grad_tool.grad_ms.global_context import grad_context from grad_tool.grad_ms.global_context import GlobalContext -from ptdbg_ascend.src.python.ptdbg_ascend.common.file_check_util import FileCheckConst, FileChecker def get_rank_id(): @@ -170,8 +169,6 @@ class CSVGenerator(Process): stat_data = None max_try = 10 while max_try: - file_path_checker = FileChecker(file_path, FileCheckConst.DIR,FileCheckConst.READ_ABLE) - file_path = file_path_checker.common_check() try: stat_data = np.load(file_path) return stat_data -- Gitee From 727e790b149ace81576ac9cf71f05501febf689c Mon Sep 17 00:00:00 2001 From: zyy Date: Tue, 6 Aug 2024 15:11:44 +0800 Subject: [PATCH 053/160] 82 --- .../profiling_parser/npu_profiling_parser.py | 2 +- .../compare_backend/utils/file_reader.py | 24 +------------------ 2 files changed, 2 insertions(+), 24 deletions(-) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 5a556b8a6b..e4b6f1b1fe 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -134,7 +134,7 @@ class NPUProfilingParser(BaseProfilingParser): print("[WARNING] The JSON file is empty.") return for _, group_dict in communication_json.items(): - step_dict = group_dict.get("collective") + step_dict = group_dict.get("collective", {}) total_op_info = step_dict.get("Total Op Info", {}) rdma_size_mb = rdma_time_ms = sdma_size_mb = sdma_time_ms = 0 if "Communication Bandwidth Info" in total_op_info: diff --git a/profiler/compare_tools/compare_backend/utils/file_reader.py b/profiler/compare_tools/compare_backend/utils/file_reader.py index 99358368cb..e494455401 100644 --- a/profiler/compare_tools/compare_backend/utils/file_reader.py +++ b/profiler/compare_tools/compare_backend/utils/file_reader.py @@ -8,29 +8,7 @@ from compare_backend.utils.constant import Constant class FileReader: @classmethod - def read_json_file(cls, file_path: str, bean_class: any = None) -> any: - PathManager.check_path_readable(file_path) - if not os.path.isfile(file_path): - raise FileNotFoundError("File not exists.") - file_size = os.path.getsize(file_path) - if file_size <= 0: - return [] - if file_size > Constant.MAX_JSON_SIZE: - check_msg = input( - f"The file({file_path}) size exceeds the preset max value. Continue reading the file? [y/n]") - if check_msg.lower() != "y": - print(f"[WARNING] The user choose not to read the file: {file_path}") - return [] - result_data = [] - try: - with open(file_path, "r") as json_file: - result_data = json.loads(json_file.read()) - except Exception as e: - msg = f"Failed to read the file: {file_path}" - raise RuntimeError(msg) from e - return result_data - @classmethod - def read_trace_file(cls, file_path: str) -> any: + def read_json_file(cls, file_path: str) -> any: PathManager.check_path_readable(file_path) if not os.path.isfile(file_path): raise FileNotFoundError("File not exists.") -- Gitee From 226289ce12ed6742a175f243d001a82f7dcfc176 Mon Sep 17 00:00:00 2001 From: zyy Date: Tue, 6 Aug 2024 15:33:02 +0800 Subject: [PATCH 054/160] 82 --- .../compare_backend/profiling_parser/npu_profiling_parser.py | 2 +- profiler/compare_tools/compare_backend/utils/file_reader.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index e4b6f1b1fe..02b6abdb04 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -124,7 +124,7 @@ class NPUProfilingParser(BaseProfilingParser): def _update_bandwidth(self): try: - communication_json = FileReader.read_json_file(self._communication_path) + communication_json = FileReader.read_trace_file(self._communication_path) except FileNotFoundError: print("[WARNING] The file communication.json does not exist.") except Exception: diff --git a/profiler/compare_tools/compare_backend/utils/file_reader.py b/profiler/compare_tools/compare_backend/utils/file_reader.py index e494455401..263888a3ec 100644 --- a/profiler/compare_tools/compare_backend/utils/file_reader.py +++ b/profiler/compare_tools/compare_backend/utils/file_reader.py @@ -8,7 +8,7 @@ from compare_backend.utils.constant import Constant class FileReader: @classmethod - def read_json_file(cls, file_path: str) -> any: + def read_trace_file(cls, file_path: str) -> any: PathManager.check_path_readable(file_path) if not os.path.isfile(file_path): raise FileNotFoundError("File not exists.") -- Gitee From 923b572ae74e892a577a6e40bca7d92b22916d02 Mon Sep 17 00:00:00 2001 From: zyy Date: Tue, 6 Aug 2024 15:53:10 +0800 Subject: [PATCH 055/160] 82 --- .../comparator/overall_performance_comparator.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py index 3a94527bb0..09d8688cf2 100644 --- a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py +++ b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py @@ -12,14 +12,6 @@ class OverallPerformanceComparator(BaseComparator): self._headers = [''] base_col = [f'{base_profiling_info.profiling_type}'] comp_col = [f'{comp_profiling_info.profiling_type}'] - if base_profiling_info.RDMA_bandwidth or comp_profiling_info.RDMA_bandwidth: - self._headers.extend(['RDMA Bandwidth']) - base_col.append(f'{base_profiling_info.RDMA_bandwidth:.3f}GB/s') - comp_col.append(f'{comp_profiling_info.RDMA_bandwidth:.3f}GB/s') - if base_profiling_info.SDMA_bandwidth or comp_profiling_info.SDMA_bandwidth: - self._headers.extend(['SDMA Bandwidth']) - base_col.append(f'{base_profiling_info.SDMA_bandwidth:.3f}GB/s') - comp_col.append(f'{comp_profiling_info.SDMA_bandwidth:.3f}GB/s') if not base_profiling_info.hide_op_details and not comp_profiling_info.hide_op_details: self._headers.extend(['Cube Time(Num)', 'Vector Time(Num)']) base_col.extend([f'{base_profiling_info.cube_time:.3f}s({base_profiling_info.cube_num})', @@ -72,6 +64,14 @@ class OverallPerformanceComparator(BaseComparator): else: comp_col.extend( [f'{comp_profiling_info.communication_not_overlapped: .3f}s({comp_profiling_info.wait_time:.3f}s)']) + if base_profiling_info.RDMA_bandwidth or comp_profiling_info.RDMA_bandwidth: + self._headers.extend(['RDMA Bandwidth']) + base_col.append(f'{base_profiling_info.RDMA_bandwidth:.3f}GB/s') + comp_col.append(f'{comp_profiling_info.RDMA_bandwidth:.3f}GB/s') + if base_profiling_info.SDMA_bandwidth or comp_profiling_info.SDMA_bandwidth: + self._headers.extend(['SDMA Bandwidth']) + base_col.append(f'{base_profiling_info.SDMA_bandwidth:.3f}GB/s') + comp_col.append(f'{comp_profiling_info.SDMA_bandwidth:.3f}GB/s') if base_profiling_info.sdma_time or comp_profiling_info.sdma_time: self._headers.append('SDMA Time(Num)') base_col.append(f'{base_profiling_info.sdma_time:.3f}s({base_profiling_info.sdma_num})') -- Gitee From 90462ff04d9e958ac5e8777971c213ee1848fb84 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Tue, 6 Aug 2024 15:54:01 +0800 Subject: [PATCH 056/160] =?UTF-8?q?compare=5Fprocess=E5=87=BD=E6=95=B0clea?= =?UTF-8?q?ncode=E4=BC=98=E5=8C=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/mindspore/compare/ms_compare.py | 63 ++++++++++++------- .../msprobe/pytorch/compare/pt_compare.py | 58 ++++++----------- 2 files changed, 62 insertions(+), 59 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 21b1b9c24f..9e93a51590 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -60,6 +60,18 @@ class MSComparator (Comparator): return _save_cmp_result(idx, cr, result_df, lock) + + def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): + op_data = json_data['data'][op_name] + op_parsed_list = read_op(op_data, op_name) + if op_name in stack_json_data: + op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) + else: + op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) + + merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) + return merge_list + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles npu_json_data = json.load(npu_json_handle) @@ -87,15 +99,7 @@ class MSComparator (Comparator): last_npu_ops_len = len(npu_ops_queue) op_name_npu = next(ops_npu_iter) read_err_npu = True - - npu_op_data = npu_json_data['data'][op_name_npu] - npu_op_parsed_list = read_op(npu_op_data, op_name_npu) - if op_name_npu in stack_json_data: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) - else: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) - - npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) + npu_merge_list = self.gen_merge_list(npu_json_data,op_name_npu,stack_json_data,summary_compare, md5_compare) if npu_merge_list: npu_ops_queue.append(npu_merge_list) except StopIteration: @@ -103,16 +107,7 @@ class MSComparator (Comparator): try: last_bench_ops_len = len(bench_ops_queue) op_name_bench = next(ops_bench_iter) - - bench_op_data = bench_json_data['data'][op_name_bench] - bench_op_parsed_list = read_op(bench_op_data, op_name_bench) - if op_name_bench in stack_json_data: - bench_op_parsed_list.append( - {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) - else: - bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) - - bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) + bench_merge_list = self.gen_merge_list(bench_json_data,op_name_bench,stack_json_data,summary_compare, md5_compare) if bench_merge_list: bench_ops_queue.append(bench_merge_list) except StopIteration: @@ -163,10 +158,36 @@ class MSComparator (Comparator): for row in result: del row[-1] - result_df = pd.DataFrame(result, columns=header) + result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df + + def make_result_table(self,result,md5_compare,summary_compare,stack_mode): + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] - + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + result_df = pd.DataFrame(result, columns=header) + return result_df + def _do_multi_process(self,input_parma, result_df): try: result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 081f5631d4..8207c7d647 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -59,6 +59,19 @@ class PTComparator (Comparator): ) return _save_cmp_result(idx, cr, result_df, lock) + + + def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): + op_data = json_data['data'][op_name] + op_parsed_list = read_op(op_data, op_name) + if op_name in stack_json_data: + op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) + else: + op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) + + merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) + return merge_list + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles @@ -87,15 +100,7 @@ class PTComparator (Comparator): last_npu_ops_len = len(npu_ops_queue) op_name_npu = next(ops_npu_iter) read_err_npu = True - - npu_op_data = npu_json_data['data'][op_name_npu] - npu_op_parsed_list = read_op(npu_op_data, op_name_npu) - if op_name_npu in stack_json_data: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) - else: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) - - npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) + npu_merge_list = self.gen_merge_list(npu_json_data,op_name_npu,stack_json_data,summary_compare,md5_compare) if npu_merge_list: npu_ops_queue.append(npu_merge_list) except StopIteration: @@ -103,16 +108,7 @@ class PTComparator (Comparator): try: last_bench_ops_len = len(bench_ops_queue) op_name_bench = next(ops_bench_iter) - - bench_op_data = bench_json_data['data'][op_name_bench] - bench_op_parsed_list = read_op(bench_op_data, op_name_bench) - if op_name_bench in stack_json_data: - bench_op_parsed_list.append( - {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) - else: - bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) - - bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) + bench_merge_list =self.gen_merge_list(bench_json_data,op_name_bench,stack_json_data,summary_compare,md5_compare) if bench_merge_list: bench_ops_queue.append(bench_merge_list) except StopIteration: @@ -138,7 +134,11 @@ class PTComparator (Comparator): if npu_ops_queue: for npu_data in npu_ops_queue: get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) - + + result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) + return result_df + + def make_result_table(self,result,md5_compare,summary_compare,stack_mode): header = [] if md5_compare: header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] @@ -162,11 +162,9 @@ class PTComparator (Comparator): else: for row in result: del row[-1] - result_df = pd.DataFrame(result, columns=header) return result_df - def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -234,22 +232,6 @@ class PTComparator (Comparator): advisor.analysis() -# def pt_compare(input_parma, output_path, stack_mode=False, auto_analyze=True, -# fuzzy_match=False): -# try: -# summary_compare, md5_compare = task_dumppath_get(input_parma) -# check_configuration_param(stack_mode, auto_analyze, fuzzy_match) -# create_directory(output_path) -# check_compare_param(input_parma, output_path, summary_compare, md5_compare) -# except CompareException as error: -# logger.error('Compare failed. Please check the arguments and do it again!') -# sys.exit(error.code) -# ptComparator= PTComparator() -# ptComparator.compare_core(input_parma, output_path, stack_mode=stack_mode, -# auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, -# md5_compare=md5_compare) - - def pt_compare(args): with FileOpen(args.input_path, "r") as file: input_param = json.load(file) -- Gitee From b37b130e70dcbd9a220785ab8393e4136eaefe07 Mon Sep 17 00:00:00 2001 From: zyy Date: Tue, 6 Aug 2024 16:50:03 +0800 Subject: [PATCH 057/160] 82 --- .../compare_backend/profiling_parser/npu_profiling_parser.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 02b6abdb04..1ae5b1fe6d 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -147,8 +147,8 @@ class NPUProfilingParser(BaseProfilingParser): sdma_info = bandwidth_info["SDMA"] sdma_size_mb += sdma_info.get("Transit Size(MB)", 0) # 单位为 MB sdma_time_ms += sdma_info.get("Transit Time(ms)", 0) # 单位为 MS - rdma_bandwidth = (rdma_size_mb / 1024) / (rdma_time_ms / 1000) if rdma_time_ms > 0 else 0 - sdma_bandwidth = (sdma_size_mb / 1024) / (sdma_time_ms / 1000) if sdma_time_ms > 0 else 0 + rdma_bandwidth = rdma_size_mb / rdma_time_ms if rdma_time_ms > 0 else 0 + sdma_bandwidth = sdma_size_mb / sdma_time_ms if sdma_time_ms > 0 else 0 self._result_data.overall_metrics.set_RDMA_bandwidth(rdma_bandwidth) self._result_data.overall_metrics.set_SDMA_bandwidth(sdma_bandwidth) def _update_overall_metrics(self): -- Gitee From 67ff995a4569966d431b8b8e54955eb36a61182e Mon Sep 17 00:00:00 2001 From: gitee Date: Tue, 6 Aug 2024 17:00:15 +0800 Subject: [PATCH 058/160] backward fix --- .../msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 559dfdc0f1..6418e89221 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -282,7 +282,7 @@ def run_torch_api(api_full_name, real_data_path, backward_content, api_info_dict if need_backward: if need_to_backward(grad_index, out): - backward_args = backward_content[api_full_name].get("input") + backward_args = backward_content[api_full_name].get("grad_input") grad = gen_args(backward_args, api_name, real_data_path=real_data_path)[0] bench_grad, _ = generate_cpu_params(grad, {}, False, api_name) bench_grad_out = run_backward(cpu_args, bench_grad, grad_index, out) -- Gitee From 286777d04ca0a315c06fa33a8d332cd526ef1861 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Tue, 6 Aug 2024 17:20:57 +0800 Subject: [PATCH 059/160] =?UTF-8?q?msprobe=E6=94=AF=E6=8C=81torch1.11?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../perturbed_layers/npu/add_noise.py | 2 +- .../perturbed_layers/npu/bit_noise.py | 2 +- .../perturbed_layers/npu/change_value.py | 2 +- .../perturbed_layers/npu/improve_precision.py | 2 +- .../perturbed_layers/npu/no_change.py | 2 +- .../perturbed_layers/run_cpu.py | 2 +- .../msprobe/pytorch/functional/dump_module.py | 2 +- .../pytorch/hook_module/hook_module.py | 11 +++++-- .../msprobe/pytorch/module_processer.py | 16 ++++++++- .../accuracy_tools/msprobe/pytorch/service.py | 33 +++++++++++++++---- 10 files changed, 56 insertions(+), 18 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/add_noise.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/add_noise.py index a18ef1c51b..2ccc2bfcf7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/add_noise.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/add_noise.py @@ -32,7 +32,7 @@ class AddNoiseLayer(NpuBaseLayer): return type(tensor_obj)([self.add_noise(value) for value in tensor_obj]) return tensor_obj - def handle(self, params: DataParams) -> torch.Any: + def handle(self, params: DataParams): """ 对输入添加扰动并返回 """ diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/bit_noise.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/bit_noise.py index 45dea7b93a..a0ac216917 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/bit_noise.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/bit_noise.py @@ -48,7 +48,7 @@ class BitNoiseLayer(NpuBaseLayer): return type(tensor_obj)([self.add_bit_noise(value) for value in tensor_obj]) return tensor_obj - def handle(self, params: DataParams) -> torch.Any: + def handle(self, params: DataParams): """ 对输入添加扰动并返回 """ diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/change_value.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/change_value.py index 91085d57a6..ae5bf9f03b 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/change_value.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/change_value.py @@ -39,7 +39,7 @@ class ChangeValueLayer(NpuBaseLayer): return type(tensor_obj)([self.change_value(value) for value in tensor_obj]) return tensor_obj - def handle(self, params: DataParams) -> torch.Any: + def handle(self, params: DataParams): """ 对输入添加扰动并返回 """ diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py index ad6d8b8989..53aa0d0d10 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py @@ -32,7 +32,7 @@ class ImprovePrecisionLayer(NpuBaseLayer): ) return tensor_obj - def handle(self, params: DataParams) -> torch.Any: + def handle(self, params: DataParams): logger.info_on_rank_0( f"[msprobe] Free benchmark: Perturbation is " f"{PerturbationMode.IMPROVE_PRECISION} of {self.api_name}." diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/no_change.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/no_change.py index a69c56002a..fa775e00ed 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/no_change.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/no_change.py @@ -16,7 +16,7 @@ class NoChangeLayer(NpuBaseLayer): self.is_added = True return tensor_obj - def handle(self, params: DataParams) -> torch.Any: + def handle(self, params: DataParams): """ 对输入添加扰动并返回 """ diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/run_cpu.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/run_cpu.py index d34ac97653..376f4ee3ea 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/run_cpu.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/run_cpu.py @@ -8,7 +8,7 @@ from msprobe.pytorch.free_benchmark.perturbed_layers.base_layer import BaseLayer class CpuLayer(BaseLayer): - def handle(self, params: DataParams) -> torch.Any: + def handle(self, params: DataParams): logger.info_on_rank_0( f"[msprobe] Free benchmark: Perturbation is to_cpu of {self.api_name}." diff --git a/debug/accuracy_tools/msprobe/pytorch/functional/dump_module.py b/debug/accuracy_tools/msprobe/pytorch/functional/dump_module.py index efb95c3369..5d2e8d9856 100644 --- a/debug/accuracy_tools/msprobe/pytorch/functional/dump_module.py +++ b/debug/accuracy_tools/msprobe/pytorch/functional/dump_module.py @@ -24,7 +24,7 @@ def module_dump(module, dump_name): dump_name = dump_name + Const.SEP + str(module_count.get(dump_name)) + Const.SEP pdg = PrecisionDebugger() - _, forward_hook, backward_hook = pdg.service.build_hook(BaseScope.Module_Type_Module, dump_name) + _, forward_hook, backward_hook, _ = pdg.service.build_hook(BaseScope.Module_Type_Module, dump_name) module.register_forward_hook(forward_hook, with_kwargs=True) module.register_full_backward_hook(backward_hook) diff --git a/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py b/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py index ff6427e51e..4d8f48a4e3 100644 --- a/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py +++ b/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py @@ -23,6 +23,7 @@ import torch.nn as nn import torch.utils.hooks as full_hooks from msprobe.core.common.const import Const +torch_vsrsion_above_2 = torch.__version__.split('+')[0] > '2.0' class HOOKModule(nn.Module): @@ -48,9 +49,13 @@ class HOOKModule(nn.Module): else: HOOKModule.module_count[self.prefix] += 1 self.prefix = self.prefix + str(HOOKModule.module_count[self.prefix] - 1) + Const.SEP - forward_pre_hook, forward_hook, backward_hook = build_hook(self.prefix) - self.register_forward_pre_hook(forward_pre_hook, with_kwargs=True) - self.register_forward_hook(forward_hook, with_kwargs=True) + forward_pre_hook, forward_hook, backward_hook, _ = build_hook(self.prefix) + if torch_vsrsion_above_2: + self.register_forward_pre_hook(forward_pre_hook, with_kwargs=True) + self.register_forward_hook(forward_hook, with_kwargs=True) + else: + self.register_forward_pre_hook(forward_pre_hook) + self.register_forward_hook(forward_hook) self.register_backward_hook(backward_hook) def __call__(self, *input, **kwargs): diff --git a/debug/accuracy_tools/msprobe/pytorch/module_processer.py b/debug/accuracy_tools/msprobe/pytorch/module_processer.py index 3e9969d32d..c18288ef2a 100644 --- a/debug/accuracy_tools/msprobe/pytorch/module_processer.py +++ b/debug/accuracy_tools/msprobe/pytorch/module_processer.py @@ -109,7 +109,21 @@ class ModuleProcesser: if self.scope: self.scope.end_module(module.mindstudio_reserved_name) - if Const.START in start_or_stop: + def backward_hook(module, input, output=None): + try: + index = ModuleProcesser.module_count_func(name_prefix) + except IndexError as e: + index = None + pass + module.mindstudio_reserved_name = full_name = name_prefix + Const.SEP + str(index) + ModuleProcesser.module_node[full_name] = None + ModuleProcesser.api_parent_node = None + if self.scope: + self.scope.begin_module(full_name) + + if 'forward' in name_prefix and Const.START in start_or_stop: return pre_hook + elif 'backward' in name_prefix: + return backward_hook else: return end_hook diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 6b8d67abc9..46d465714e 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -2,6 +2,7 @@ import functools import os from pathlib import Path +import service from msprobe.core.common.const import Const, FileCheckConst from msprobe.core.common.exceptions import DistributedNotInitializedError, MsprobeException from msprobe.core.common.file_check import FileChecker, check_path_before_create @@ -14,6 +15,7 @@ from msprobe.pytorch.hook_module import remove_dropout from msprobe.pytorch.hook_module.api_registry import api_register from msprobe.pytorch.hook_module.hook_module import HOOKModule from msprobe.pytorch.module_processer import ModuleProcesser +torch_vsrsion_above_2 = torch.__version__.split('+')[0] > '2.0' class Service: @@ -60,6 +62,20 @@ class Service: return self.data_collector.get_forward_new_output() return output + def forward_hook_torch_version_below_2(api_or_module_name, module, args, output): + if module_type == BaseScope.Module_Type_Module: + api_or_module_name = module.mindstudio_reserved_name + self.data_collector.visit_and_clear_overflow_status(api_or_module_name) + + if not self.switch: + return None + if self.data_collector: + module_input_output = ModuleForwardInputsOutputs(args=args, kwargs={}, output=output) + self.data_collector.forward_data_collect(api_or_module_name, module, pid, module_input_output) + if self.data_collector.if_return_forward_new_output(): + return self.data_collector.get_forward_new_output() + return output + def backward_hook(api_or_module_name, module, grad_input, grad_output): if module_type == BaseScope.Module_Type_Module: api_or_module_name = module.mindstudio_reserved_name @@ -78,7 +94,8 @@ class Service: pre_forward_hook = functools.partial(pre_hook, forward_name_template) forward_hook = functools.partial(forward_hook, forward_name_template) backward_hook = functools.partial(backward_hook, backward_name_template) - return pre_forward_hook, forward_hook, backward_hook + forward_hook_torch_version_below_2 = functools.partial(forward_hook_torch_version_below_2, forward_name_template) + return pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 def step(self): self.current_iter += 1 @@ -158,19 +175,21 @@ class Service: prefix = BaseScope.Module_Type_Module + Const.SEP + name + Const.SEP + \ module.__class__.__name__ + Const.SEP - pre_forward_hook, forward_hook, backward_hook = self.build_hook(BaseScope.Module_Type_Module, prefix) - module.register_forward_hook(forward_hook, with_kwargs=True) - module.register_full_backward_hook(backward_hook) - module.register_forward_pre_hook( self.module_processor.node_hook(prefix + Const.FORWARD, Const.START)) module.register_forward_hook( self.module_processor.node_hook(prefix + Const.FORWARD, Const.STOP)) - module.register_full_backward_pre_hook( - self.module_processor.node_hook(prefix + Const.BACKWARD, Const.START)) module.register_full_backward_hook( self.module_processor.node_hook(prefix + Const.BACKWARD, Const.STOP)) + pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 \ + = self.build_hook(BaseScope.Module_Type_Module, prefix) + if torch_vsrsion_above_2: + module.register_forward_hook(forward_hook, with_kwargs=True) + else: + module.register_forward_hook(forward_hook_torch_version_below_2) + module.register_full_backward_hook(backward_hook) + if self.config.level in ["mix", "L1", "L2"]: api_register.initialize_hook(functools.partial(self.build_hook, BaseScope.Module_Type_API)) api_register.api_modularity() -- Gitee From 9b4d9f63bef05cfedd73b4d52b6a9059978e1a9e Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Tue, 6 Aug 2024 17:29:08 +0800 Subject: [PATCH 060/160] mindspore free benchmark V1.4 --- debug/accuracy_tools/msprobe/core/common/const.py | 2 +- .../msprobe/mindspore/free_benchmark/perturbation/add_noise.py | 2 +- .../msprobe/mindspore/free_benchmark/perturbation/bit_noise.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index 6a262d4be5..b4baf47338 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -283,7 +283,7 @@ class MsFreeBenchmarkConst: FIX_HANDLER_MODE = "fix" ADD_NOISE = "add_noise" BIT_NOISE = "bit_noise" - NO_CHANGE = "no_change", + NO_CHANGE = "no_change" IMPROVE_PRECISION = "improve_precision" CHECK = "check" FIX = "fix" diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py index 28969e4532..3d645a6f1f 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py @@ -28,7 +28,7 @@ class AddNoisePerturbation(BasePerturbation): """ if isinstance(inputs, Tensor): noise = self._get_noise(inputs) - if noise: + if noise is not False: result = ops.where(ops.abs(inputs) > self.perturbation_value ** 0.5, ops.add(noise, inputs), inputs) result = result.type(dtype=inputs.dtype) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py index 13efb1f37d..b682edf09c 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py @@ -14,7 +14,7 @@ class BitNoisePerturbation(BasePerturbation): def add_bit_noise(self, inputs) -> Any: if isinstance(inputs, Tensor): bit_len_type = self._get_bit_len_type(inputs) - if bit_len_type: + if bit_len_type is not False: sub_normal_np = np.finfo(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)).smallest_normal sub_normal = Tensor(sub_normal_np) noise_type = list(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.keys())[ -- Gitee From 3069dc0d31de39ed8713643ab467a3f993881fdf Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Tue, 6 Aug 2024 18:18:31 +0800 Subject: [PATCH 061/160] mindspore free benchmark supported list --- .../accuracy_tools/msprobe/config/config.json | 12 + .../free_benchmark/data/support_wrap_ops.yaml | 842 ++++++++++++++++++ 2 files changed, 854 insertions(+) create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml diff --git a/debug/accuracy_tools/msprobe/config/config.json b/debug/accuracy_tools/msprobe/config/config.json index ef0283ca27..8603771f8b 100644 --- a/debug/accuracy_tools/msprobe/config/config.json +++ b/debug/accuracy_tools/msprobe/config/config.json @@ -37,5 +37,17 @@ "step": [], "bounds": [-1, 0, 1], "output_path": "./grad_output" + }, + "free_benchmark": { + "scope": [], + "list": [], + "fuzz_device": "npu", + "pert_mode": "improve_precision", + "handler_type": "check", + "fuzz_level": "L1", + "fuzz_stage": "forward", + "if_preheat": false, + "preheat_step": 15, + "max_sample": 20 } } \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml new file mode 100644 index 0000000000..cc802d3814 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml @@ -0,0 +1,842 @@ +# List of apis that support self check + +communication: + - all_gather_into_tensor + - gather_into_tensor + - all_reduce + - reduce + - reduce_scatter_tensor + +ops: + - adaptive_avg_pool1d + - adaptive_avg_pool2d + - adaptive_avg_pool3d + - adaptive_max_pool1d + - adaptive_max_pool2d + - avg_pool1d + - avg_pool2d + - avg_pool3d + - batch_norm + - bias_add + - ctc_greedy_decoder + - conv1d + - conv2d + - conv3d + - deformable_conv2d + - dense + - dropout + - dropout1d + - dropout2d + - dropout3d + - flatten + - fold + - fractional_max_pool3d + - lp_pool1d + - lp_pool2d + - lrn + - max_pool2d + - max_pool3d + - max_unpool1d + - max_unpool2d + - max_unpool3d + - unfold + - binary_cross_entropy + - binary_cross_entropy_with_logits + - cosine_embedding_loss + - cross_entropy + - ctc_loss + - gaussian_nll_loss + - hinge_embedding_loss + - huber_loss + - kl_div + - l1_loss + - margin_ranking_loss + - mse_loss + - multi_margin_loss + - multilabel_margin_loss + - multilabel_soft_margin_loss + - nll_loss + - smooth_l1_loss + - triplet_margin_loss + - elu + - fast_gelu + - gelu + - glu + - gumbel_softmax + - hardshrink + - hardsigmoid + - hardswish + - hardtanh + - leaky_relu + - log_softmax + - logsigmoid + - mish + - prelu + - relu + - relu6 + - rrelu + - selu + - sigmoid + - silu + - softmax + - softmin + - softshrink + - softsign + - tanh + - threshold + - cdist + - dist + - pdist + - choice_with_mask + - random_categorical + - log_uniform_candidate_sampler + - uniform_candidate_sampler + - affine_grid + - bounding_box_decode + - bounding_box_encode + - col2im + - check_valid + - crop_and_resize + - grid_sample + - interpolate + - iou + - pad + - padding + - pixel_shuffle + - pixel_unshuffle + - upsample + - abs + - absolute + - accumulate_n + - acos + - arccos + - acosh + - add + - addcdiv + - addcmul + - addmv + - addn + - angle + - arccosh + - arcsin + - arcsinh + - arctan + - arctanh + - arctan2 + - asin + - asinh + - atan + - atan2 + - atanh + - atleast_1d + - atleast_2d + - atleast_3d + - bessel_i0 + - bessel_i0e + - bessel_i1 + - bessel_i1e + - bessel_j0 + - bessel_j1 + - bessel_k0 + - bessel_k0e + - bessel_k1 + - bessel_k1e + - bessel_y0 + - bessel_y1 + - bitwise_and + - bitwise_left_shift + - bitwise_or + - bitwise_right_shift + - bitwise_xor + - ceil + - clamp + - clip + - combinations + - copysign + - cos + - cosh + - cosine_similarity + - cov + - diag_embed + - diff + - deg2rad + - digamma + - div + - divide + - erf + - erfc + - erfinv + - exp + - exp2 + - expm1 + - floor + - floor_div + - floor_mod + - float_power + - fmod + - frac + - gcd + - hypot + - igamma + - igammac + - imag + - i0 + - inv + - invert + - lcm + - ldexp + - lerp + - log + - log2 + - log10 + - log1p + - logaddexp + - logaddexp2 + - logical_and + - logical_not + - logical_or + - logical_xor + - logit + - mul + - multiply + - mvlgamma + - neg + - negative + - nextafter + - polar + - polygamma + - positive + - pow + - rad2deg + - ravel + - real + - reciprocal + - remainder + - rot90 + - round + - rsqrt + - sgn + - sign + - signbit + - sin + - sinc + - sinh + - sqrt + - square + - sub + - subtract + - t + - tan + - tanhshrink + - trapz + - tril_indices + - triu_indices + - true_divide + - trunc + - truncate_div + - truncate_mod + - xdivy + - xlogy + - zeta + - all + - amax + - amin + - aminmax + - any + - argmax + - argmin + - cummax + - cummin + - cumprod + - cumsum + - fmax + - histc + - logsumexp + - max + - mean + - median + - min + - norm + - prod + - std + - std_mean + - var + - var_mean + - argsort + - approximate_equal + - equal + - ge + - greater + - greater_equal + - gt + - intopk + - isclose + - isfinite + - isinf + - isnan + - isneginf + - isposinf + - isreal + - le + - less + - less_equal + - lt + - maximum + - minimum + - msort + - ne + - not_equal + - searchsorted + - topk + - bmm + - addbmm + - addmm + - baddbmm + - addr + - adjoint + - cholesky + - cholesky_solve + - batch_dot + - dot + - eig + - inner + - inverse + - geqrf + - ger + - kron + - lu_solve + - lu_unpack + - matmul + - matrix_solve + - matrix_band_part + - matrix_diag + - matrix_diag_part + - matrix_set_diag + - mm + - mv + - outer + - orgqr + - ormqr + - pinv + - svd + - tensor_dot + - logdet + - slogdet + - qr + - trace + - bartlett_window + - blackman_window + - hamming_window + - hann_window + - kaiser_window + - eye + - fill + - full + - full_like + - linspace + - logspace + - one_hot + - arange + - range + - heaviside + - bernoulli + - gamma + - laplace + - multinomial + - multinomial_with_replacement + - rand + - rand_like + - randint + - randint_like + - randn + - randn_like + - random_gamma + - random_poisson + - randperm + - standard_laplace + - standard_normal + - uniform + - argwhere + - batch_to_space_nd + - bincount + - block_diag + - broadcast_to + - cat + - channel_shuffle + - chunk + - column_stack + - concat + - conj + - count_nonzero + - deepcopy + - diag + - diagflat + - diagonal + - dyn_shape + - dsplit + - dstack + - einsum + - expand + - expand_dims + - flip + - fliplr + - flipud + - gather_d + - gather_elements + - gather_nd + - hsplit + - hstack + - masked_fill + - masked_select + - meshgrid + - moveaxis + - movedim + - narrow + - nan_to_num + - nansum + - normal + - nonzero + - population_count + - rank + - repeat_elements + - repeat_interleave + - reshape + - reverse + - reverse_sequence + - roll + - select + - sequence_mask + - shuffle + - size + - slice + - sort + - space_to_batch_nd + - sparse_segment_mean + - split + - squeeze + - stack + - strided_slice + - sum + - swapaxes + - swapdims + - tensor_split + - tile + - tril + - triu + - transpose + - unbind + - unique + - unique_consecutive + - unique_with_pad + - unsorted_segment_max + - unsorted_segment_min + - unsorted_segment_prod + - unsorted_segment_sum + - unsqueeze + - unstack + - view_as_real + - vsplit + - vstack + - where + - cross + - renorm + - tuple_to_array + - clip_by_global_norm + - clip_by_value + - derivative + - jet + +Tensor: + - __abs__ + - __add__ + - __and__ + - __iadd__ + - __ifloordiv__ + - __imatmul__ + - __imod__ + - __imul__ + - __isub__ + - __matmul__ + - __mod__ + - __mul__ + - __neg__ + - __or__ + - __pow__ + - __radd__ + - __rmatmul__ + - __rmod__ + - __rmul__ + - __rpow__ + - __rsub__ + - __sub__ + - __truediv__ + - __xor__ + - abs + - absolute + - acos + - acosh + - add + - addbmm + - addcdiv + - addcmul + - addmm + - addmv + - addr + - all + - amax + - amin + - any + - arccos + - arccosh + - argmax + - angle + - arcsin + - arcsinh + - arctan + - arctanh + - argmin + - argsort + - asin + - asinh + - atan + - atan2 + - atanh + - baddbmm + - bernoulli + - bincount + - bitwise_and + - bitwise_or + - bitwise_xor + - bmm + - broadcast_to + - ceil + - cholesky_solve + - cholesky + - clamp + - clip + - conj + - copysign + - cos + - cosh + - cross + - cummax + - cummin + - cumprod + - cumsum + - deg2rad + - diag + - diagflat + - diff + - digamma + - div + - divide + - equal + - erf + - erfc + - erfinv + - exp + - expand_as + - expm1 + - flip + - fliplr + - flipud + - float_power + - floor + - fmod + - frac + - gather_elements + - geqrf + - ger + - greater + - greater_equal + - half + - hardshrink + - heaviside + - histc + - hypot + - i0 + - igamma + - igammac + - imag + - index_add + - index_fill + - index_put + - index_select + - inner + - int + - inverse + - item + - lcm + - ldexp + - lerp + - log + - log10 + - log1p + - log2 + - logaddexp + - logaddexp2 + - logdet + - logical_and + - logical_not + - logical_or + - logical_xor + - logit + - logsumexp + - long + - masked_fill + - masked_scatter + - masked_select + - matmul + - max + - maximum + - mean + - median + - min + - minimum + - moveaxis + - movedim + - msort + - multinomial + - multiply + - mvlgamma + - nan_to_num + - nansum + - narrow + - neg + - negative + - nelement + - new_ones + - new_zeros + - nextafter + - norm + - nonzero + - not_equal + - ormqr + - permute + - pow + - prod + - qr + - ravel + - real + - reciprocal + - remainder + - renorm + - rad2deg + - tile + - repeat_interleave + - reshape + - reshape + - round + - rot90 + - rsqrt + - sum_to_size + - scatter + - sgn + - short + - sigmoid + - sign + - signbit + - sin + - sinc + - sinh + - slogdet + - sort + - split + - sqrt + - square + - squeeze + - std + - subtract + - subtract + - svd + - swapaxes + - swapdims + - t + - take + - tan + - tanh + - trace + - swapaxes + - tile + - topk + - tril + - tensor_split + - transpose + - true_divide + - trunc + - unbind + - unique_consecutive + - unsqueeze + - var + - view + - where + - xlogy + - from_numpy + - std + - take + - var + - all + - any + - copy + - diagonal + - flatten + - resize + - sum + +mint: + - abs + - absolute_import + - add + - add_ex + - all + - any + - any_ex + - arange + - argmax + - avg_pool2d + - baddbmm + - baddbmm_ex + - batch_norm + - binary_cross_entropy_with_logits + - bitwise_and + - bitwise_or + - bitwise_xor + - bmm + - broadcast_to + - cat + - cat_ex + - ceil + - chunk + - clamp + - conv2d + - conv_transpose2d + - cos + - cross + - cummax + - cummin + - cumsum + - div + - divide + - dropout + - embedding + - eq + - erf + - erfinv + - exp + - flatten + - flip + - flip_ex + - fold + - full + - gather + - gelu + - greater + - grid_sample + - group_norm + - gt + - index_select + - interpolate + - isclose + - isfinite + - layer_norm + - le + - leaky_relu + - less + - less_equal + - linear + - linspace + - log + - logical_and + - logical_not + - logical_or + - lt + - masked_select + - matmul + - max + - max_pool2d + - maximum + - mean + - mean_ex + - min + - minimum + - mul + - ne + - neg + - negative + - nonzero + - normal + - one_hot + - ones + - ones_ex + - ones_like + - pad + - permute + - permute_ex + - pow + - prod + - reciprocal + - relu + - remainder + - repeat_interleave + - rsqrt + - searchsorted + - sigmoid + - silu + - sin + - softmax + - softplus + - sort + - split + - sqrt + - sqrt_ex + - square + - stack + - sub + - sub_ex + - sum + - tanh + - tile + - topk + - tril + - triu + - unfold + - unique + - where + - xlogy + - zeros + - zeros_ex + - zeros_like + +mint.nn.functional: + - absolute_import + - avg_pool2d + - batch_norm + - batch_norm_ex + - bce_with_logits + - binary_cross_entropy_with_logits + - conv_transpose2d + - dense + - dropout + - embedding + - fold + - gelu + - grid_sample + - group_norm + - interpolate + - layer_norm + - leaky_relu + - linear + - max_pool2d + - max_pool2d_ex + - normal + - one_hot + - one_hot_ext + - pad + - relu + - sigmoid + - silu + - softmax + - softmax_ex + - softplus + - tanh + - unfold -- Gitee From 419d45c9906e26a24dbae3843b770524e6f53bca Mon Sep 17 00:00:00 2001 From: CSNIU Date: Tue, 6 Aug 2024 19:33:41 +0800 Subject: [PATCH 062/160] BugFix --- .../msprobe/mindspore/compare/acc_compare.py | 1033 ---------------- .../msprobe/mindspore/compare/compare_cli.py | 24 + .../mindspore/compare/distributed_compare.py | 2 +- .../msprobe/mindspore/compare/highlight.py | 100 -- .../msprobe/mindspore/compare/mapping.yaml | 607 ---------- .../msprobe/mindspore/compare/match.py | 36 - .../msprobe/mindspore/compare/ms_compare.py | 72 +- .../msprobe/mindspore/compare/npy_compare.py | 244 ---- debug/accuracy_tools/msprobe/msprobe.py | 7 +- .../msprobe/pytorch/compare/acc_compare.py | 1051 ----------------- .../msprobe/pytorch/compare/compare_cli.py | 7 +- .../pytorch/compare/distributed_compare.py | 1 + .../msprobe/pytorch/compare/pt_compare.py | 20 +- 13 files changed, 52 insertions(+), 3152 deletions(-) delete mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/highlight.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml delete mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/match.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py deleted file mode 100644 index 0464995d57..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/compare/acc_compare.py +++ /dev/null @@ -1,1033 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2019-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - -import json -import multiprocessing -import os.path -import sys - -import numpy as np -import pandas as pd -import openpyxl -from openpyxl.styles import PatternFill -from collections import namedtuple -from dataclasses import dataclass - -from msprobe.mindspore.compare.match import graph_mapping -from msprobe.mindspore.compare.highlight import HighlightRules, get_header_index -from msprobe.mindspore.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ - get_error_message -from msprobe.mindspore.advisor.advisor import Advisor -from msprobe.mindspore.common.log import logger -from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ - format_value, check_file_not_exists, check_configuration_param, task_dumppath_get -from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory -from msprobe.core.common.const import Const, CompareConst, FileCheckConst -from msprobe.core.common.exceptions import FileCheckException - - -def check_graph_mode(a_op_name, b_op_name): - if "Aten" in a_op_name and "Aten" not in b_op_name: - return True - if "Aten" not in a_op_name and "Aten" in b_op_name: - return True - return False - - -def check_op(npu_dict, bench_dict, fuzzy_match): - a_op_name = npu_dict["op_name"] - b_op_name = bench_dict["op_name"] - graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) - if graph_mode: - return graph_mapping.match(a_op_name[0], b_op_name[0]) - struct_match = check_struct_match(npu_dict, bench_dict) - if not fuzzy_match: - return a_op_name == b_op_name and struct_match - is_match = True - try: - is_match = fuzzy_check_op(a_op_name, b_op_name) - except Exception as err: - logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) - is_match = False - return is_match and struct_match - - -def check_struct_match(npu_dict, bench_dict): - npu_struct_in = npu_dict.get("input_struct") - bench_struct_in = bench_dict.get("input_struct") - npu_struct_out = npu_dict.get("output_struct") - bench_struct_out = bench_dict.get("output_struct") - is_match = npu_struct_in == bench_struct_in and npu_struct_out == bench_struct_out - if not is_match: - if len(npu_struct_in) == 0 or len(bench_struct_in) == 0 or len(npu_struct_in) != len(bench_struct_in): - return False - struct_in_is_match = check_type_shape_match(npu_struct_in, bench_struct_in) - struct_out_is_match = check_type_shape_match(npu_struct_out, bench_struct_out) - is_match = struct_in_is_match and struct_out_is_match - return is_match - - -def check_type_shape_match(npu_struct, bench_struct): - shape_type_match = False - for npu_type_shape, bench_type_shape in zip(npu_struct, bench_struct): - npu_type = npu_type_shape[0] - npu_shape = npu_type_shape[1] - bench_type = bench_type_shape[0] - bench_shape = bench_type_shape[1] - shape_match = npu_shape == bench_shape - type_match = npu_type == bench_type - if not type_match: - if [npu_type, bench_type] in [["Float16", "Float32"], ["Float32", "Float16"]]: - type_match = True - else: - type_match = False - shape_type_match = shape_match and type_match - if not shape_type_match: - return False - return shape_type_match - - -def fuzzy_check_op(npu_name_list, bench_name_list): - if len(npu_name_list) == 0 or len(bench_name_list) == 0 or len(npu_name_list) != len(bench_name_list): - return False - is_match = True - for npu_name, bench_name in zip(npu_name_list, bench_name_list): - is_match = fuzzy_check_name(npu_name, bench_name) - if not is_match: - break - return is_match - - -def fuzzy_check_name(npu_name, bench_name): - if "forward" in npu_name and "forward" in bench_name: - is_match = rename_api(npu_name, "forward") == rename_api(bench_name, "forward") - elif "backward" in npu_name and "backward" in bench_name: - is_match = rename_api(npu_name, "backward") == rename_api(bench_name, "backward") - else: - is_match = npu_name == bench_name - return is_match - - -def rename_api(npu_name, process): - npu_split = npu_name.split(process) - torch_func_index, in_out = npu_split[0], npu_split[1] - torch_func_split = torch_func_index.rsplit(Const.SEP, 2) - torch_func = str(torch_func_split[0]) + str(in_out) - return torch_func - - -def merge_tensor(tensor_list, summary_compare, md5_compare): - op_dict = {} - op_dict["op_name"] = [] - op_dict["input_struct"] = [] - op_dict["kwargs_struct"] = [] - op_dict["output_struct"] = [] - op_dict["summary"] = [] - op_dict["stack_info"] = [] - - all_mode_bool = not (summary_compare or md5_compare) - if all_mode_bool: - op_dict["data_name"] = [] - - for tensor in tensor_list: - if len(tensor) == 2: - op_dict['stack_info'].append(tensor['full_info']) - break - op_dict["op_name"].append(tensor['full_op_name']) - if not md5_compare: - if tensor['full_op_name'].find("input") != -1: - op_dict["input_struct"].append((tensor['dtype'], tensor['shape'])) - elif tensor['full_op_name'].find("kwarg") != -1: - op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'])) - elif tensor['full_op_name'].find("output") != -1: - op_dict["output_struct"].append((tensor['dtype'], tensor['shape'])) - else: - if tensor['full_op_name'].find("input") != -1: - op_dict["input_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) - elif tensor['full_op_name'].find("kwarg") != -1: - op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) - elif tensor['full_op_name'].find("output") != -1: - op_dict["output_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) - - op_dict["summary"].append([tensor['Max'], tensor['Min'], tensor['Mean'], tensor['Norm']]) - - if all_mode_bool: - op_dict["data_name"].append(tensor['data_name']) - - if not op_dict["kwargs_struct"]: - del op_dict["kwargs_struct"] - return op_dict if op_dict["op_name"] else {} - - -def match_op(npu_queue, bench_queue, fuzzy_match): - for b_index, b_op in enumerate(bench_queue[0: -1]): - if check_op(npu_queue[-1], b_op, fuzzy_match): - return len(npu_queue) - 1, b_index - if check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): - return len(npu_queue) - 1, len(bench_queue) - 1 - for n_index, n_op in enumerate(npu_queue[0: -1]): - if check_op(n_op, bench_queue[-1], fuzzy_match): - return n_index, len(bench_queue) - 1 - return -1, -1 - - -def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=False): - def get_accuracy_core(n_start, n_len, b_start, b_len, key): - min_len = min(n_len, b_len) - npu_stack_info = n_dict.get("stack_info", None) - bench_stack_info = b_dict.get("stack_info", None) - has_stack = npu_stack_info and bench_stack_info - - all_mode_bool = not (summary_compare or md5_compare) - if all_mode_bool: - npu_data_name = n_dict.get("data_name", None) - bench_data_name = b_dict.get("data_name", None) - - for index in range(min_len): - - n_name = n_dict['op_name'][n_start + index] - b_name = b_dict['op_name'][b_start + index] - n_struct = n_dict[key][index] - b_struct = b_dict[key][index] - err_msg = "" - if md5_compare: - result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], - n_struct[2], b_struct[2], - CompareConst.PASS if n_struct[2] == b_struct[2] else CompareConst.DIFF] - if has_stack and index == 0 and key == "input_struct": - result_item.extend(npu_stack_info) - else: - result_item.append(CompareConst.NONE) - result.append(result_item) - continue - - if summary_compare: - result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], - " ", " ", " ", " ", " ", " ", " ", " "] - else: - result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], - " ", " ", " ", " ", " "] - - npu_summary_data = n_dict.get("summary")[n_start + index] - result_item.extend(npu_summary_data) - bench_summary_data = b_dict.get("summary")[b_start + index] - result_item.extend(bench_summary_data) - - if summary_compare: - start_idx = CompareConst.SUMMARY_COMPARE_RESULT_HEADER.index(CompareConst.MAX_DIFF) - warning_flag = False - for i, (npu_val, bench_val) in enumerate(zip(npu_summary_data, bench_summary_data)): - if isinstance(npu_val, (float, int)) and isinstance(bench_val, (float, int)): - diff = npu_val - bench_val - if bench_val != 0: - relative = str(abs((diff / bench_val) * 100)) + '%' - else: - relative = "N/A" - result_item[start_idx + i] = diff - result_item[start_idx + i + 4] = relative - magnitude_diff = abs(diff) / (max(abs(npu_val), abs(bench_val)) + 1e-10) - if magnitude_diff > 0.5: - warning_flag = True - else: - result_item[start_idx + i] = CompareConst.NONE - accuracy_check = CompareConst.WARNING if warning_flag else "" - err_msg += "Need double check api accuracy." if warning_flag else "" - for i in range(start_idx, len(result_item)): - if str(result_item[i]) in ('inf', '-inf', 'nan'): - result_item[i] = f'{result_item[i]}\t' - - result_item.append(accuracy_check if summary_compare else CompareConst.ACCURACY_CHECK_YES) - result_item.append(err_msg) - if has_stack and index == 0 and key == "input_struct": - result_item.extend(npu_stack_info) - else: - result_item.append(CompareConst.NONE) - if all_mode_bool: - result_item.append(npu_data_name[n_start + index]) - - result.append(result_item) - - if n_len > b_len: - for index in range(b_len, n_len): - n_name = n_dict['op_name'][n_start + index] - n_struct = n_dict[key][index] - if md5_compare: - result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, - n_struct[1], CompareConst.NAN, n_struct[2], CompareConst.NAN, CompareConst.NAN] - result.append(result_item) - continue - result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, - n_struct[1], CompareConst.NAN, " ", " ", " ", " ", " "] - summary_data = n_dict.get("summary")[n_start + index] - result_item.extend(summary_data) - summary_data = [CompareConst.NAN for _ in range(len(n_dict.get("summary")[0]))] - result_item.extend(summary_data) - - err_msg = "" - result_item.append(CompareConst.ACCURACY_CHECK_YES) - result_item.append(err_msg) - - if has_stack and index == 0 and key == "input_struct": - result_item.extend(npu_stack_info) - else: - result_item.append(CompareConst.NONE) - if all_mode_bool: - result_item.append(npu_data_name[n_start + index]) - - result.append(result_item) - - n_num = len(n_dict['op_name']) - b_num = len(b_dict['op_name']) - n_num_input = len([name for name in n_dict['op_name'] if 'input' in name]) - b_num_input = len([name for name in b_dict['op_name'] if 'input' in name]) - n_num_kwarg = len([name for name in n_dict['op_name'] if 'kwarg' in name]) - b_num_kwarg = len([name for name in b_dict['op_name'] if 'kwarg' in name]) - n_num_output = n_num - n_num_input - n_num_kwarg - b_num_output = b_num - b_num_input - b_num_kwarg - get_accuracy_core(0, n_num_input, 0, b_num_input, 'input_struct') - get_accuracy_core(n_num_input, n_num_kwarg, b_num_input, b_num_kwarg, "kwargs_struct") - get_accuracy_core(n_num_input + n_num_kwarg, n_num_output, b_num_input + b_num_kwarg, b_num_output, 'output_struct') - - -def _do_multi_process(input_parma, result_df): - try: - result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - - -def read_dump_data(result_df): - try: - npu_dump_name_list = result_df.iloc[0:, 0].tolist() - npu_dump_tensor_list = result_df.iloc[0:, -1].tolist() - op_name_mapping_dict = {} - for index, _ in enumerate(npu_dump_name_list): - npu_dump_name = npu_dump_name_list[index] - npu_dump_tensor = npu_dump_tensor_list[index] - op_name_mapping_dict[npu_dump_name] = [npu_dump_tensor, npu_dump_tensor] - return op_name_mapping_dict - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - except IndexError as e: - logger.error('result dataframe elements can not be access.') - raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - - -def _handle_multi_process(func, input_parma, result_df, lock): - process_num = int((multiprocessing.cpu_count() + 1) / 2) - op_name_mapping_dict = read_dump_data(result_df) - - df_chunk_size = len(result_df) // process_num - if df_chunk_size > 0: - df_chunks = [result_df.iloc[i:i + df_chunk_size] for i in range(0, len(result_df), df_chunk_size)] - else: - df_chunks = [result_df] - - results = [] - pool = multiprocessing.Pool(process_num) - - def err_call(args): - logger.error('multiprocess compare failed! Reason: {}'.format(args)) - try: - pool.terminate() - except OSError as e: - logger.error("pool terminate failed") - - for process_idx, df_chunk in enumerate(df_chunks): - idx = df_chunk_size * process_idx - result = pool.apply_async(func, - args=(idx, op_name_mapping_dict, df_chunk, lock, input_parma), - error_callback=err_call) - results.append(result) - final_results = [r.get() for r in results] - pool.close() - pool.join() - return pd.concat(final_results, ignore_index=True) - - -def compare_ops(idx, dump_path_dict, result_df, lock, input_parma): - cos_result = [] - max_err_result = [] - max_relative_err_result = [] - err_mess = [] - one_thousand_err_ratio_result = [] - five_thousand_err_ratio_result = [] - is_print_compare_log = input_parma.get("is_print_compare_log") - for i in range(len(result_df)): - op_name = result_df.iloc[i, 0] - if is_print_compare_log: - logger.info("start compare: {}".format(op_name)) - cos_sim, max_abs_err, max_relative_err, one_thousand_err_ratio, five_thousand_err_ratio, err_msg = compare_by_op( - op_name, dump_path_dict, input_parma) - if is_print_compare_log: - logger.info( - "[{}] Compare result: cosine {}, max_abs_err {}, max_relative_err {}, {}, one_thousand_err_ratio {}, " - "five_thousand_err_ratio {}".format(op_name, cos_sim, max_abs_err, max_relative_err, err_msg, - one_thousand_err_ratio, five_thousand_err_ratio)) - cos_result.append(cos_sim) - max_err_result.append(max_abs_err) - max_relative_err_result.append(max_relative_err) - err_mess.append(err_msg) - one_thousand_err_ratio_result.append(one_thousand_err_ratio) - five_thousand_err_ratio_result.append(five_thousand_err_ratio) - - cr = ComparisonResult( - cos_result=cos_result, - max_err_result=max_err_result, - max_relative_err_result=max_relative_err_result, - err_msgs=err_mess, - one_thousand_err_ratio_result=one_thousand_err_ratio_result, - five_thousand_err_ratio_result=five_thousand_err_ratio_result - ) - - return _save_cmp_result(idx, cr, result_df, lock) - - -@dataclass -class ComparisonResult: - cos_result: list - max_err_result: list - max_relative_err_result: list - err_msgs: list - one_thousand_err_ratio_result: list - five_thousand_err_ratio_result: list - - -def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): - """ - Save comparison results into the result DataFrame with thread safety. - Args: - offset: offset for index - result: data struct of ComparisonResult - result_df: result of DataFrame - lock: thread lock - - Returns: - comparison results in DataFrame - """ - - lock.acquire() - try: - for i, _ in enumerate(result.cos_result): - process_index = i + offset - result_df.loc[process_index, CompareConst.COSINE] = result.cos_result[i] - result_df.loc[process_index, CompareConst.MAX_ABS_ERR] = result.max_err_result[i] - result_df.loc[process_index, CompareConst.MAX_RELATIVE_ERR] = result.max_relative_err_result[i] - result_df.loc[process_index, CompareConst.ERROR_MESSAGE] = result.err_msgs[i] - result_df.loc[process_index, CompareConst.ACCURACY] = check_accuracy(result.cos_result[i], result.max_err_result[i]) - result_df.loc[process_index, CompareConst.ONE_THOUSANDTH_ERR_RATIO] = result.one_thousand_err_ratio_result[i] - result_df.loc[process_index, CompareConst.FIVE_THOUSANDTHS_ERR_RATIO] = result.five_thousand_err_ratio_result[i] - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - except IndexError as e: - logger.error('result dataframe elements can not be access.') - raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - finally: - lock.release() - - -def check_accuracy(cos, max_abs_err): - if cos == CompareConst.SHAPE_UNMATCH: - return CompareConst.ACCURACY_CHECK_UNMATCH - if cos == CompareConst.NONE or max_abs_err == CompareConst.NONE: - return CompareConst.NONE - if cos == "N/A" or max_abs_err == "N/A": - return CompareConst.ACCURACY_CHECK_NO - try: - cos, max_abs_err = float(cos), float(max_abs_err) - except ValueError: - logger.warning("Cosine or MaxAbsErr can not get float value.") - return CompareConst.NONE - if cos < CompareConst.COS_THRESHOLD and max_abs_err > CompareConst.MAX_ABS_ERR_THRESHOLD: - return CompareConst.ACCURACY_CHECK_NO - if cos < CompareConst.COS_MAX_THRESHOLD or max_abs_err > CompareConst.MAX_ABS_ERR_MAX_THRESHOLD: - return CompareConst.ACCURACY_CHECK_NO - return CompareConst.ACCURACY_CHECK_YES - - -def read_npy_data(dir_path, file_name): - data_path = os.path.join(dir_path, file_name) - path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, - FileCheckConst.NUMPY_SUFFIX, False) - data_path = path_checker.common_check() - data_value = np.load(data_path) # detach for less memory - if data_value.dtype == np.float16: - data_value=data_value.astype(np.float32) - - return data_value - - -def compare_by_op(op_name, op_name_mapping_dict, input_parma): - npu_bench_name_list = op_name_mapping_dict[op_name] - data_name = npu_bench_name_list[1] - error_file, relative_err, error_flag = None, None, False - if data_name == '-1' or data_name == -1: # 没有真实数据路径 - n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE - error_flag = True - else: - try: - n_value = read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) - b_value = read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) - except IOError as error: - error_file = error.filename - n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE - error_flag = True - except FileCheckException: - error_file = data_name - n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE - error_flag = True - - n_value, b_value, error_flag = get_error_type(n_value, b_value, error_flag) - if not error_flag: - relative_err = get_relative_err(n_value, b_value) - n_value, b_value = reshape_value(n_value, b_value) - - err_msg = get_error_message(n_value, b_value, op_name, error_flag, error_file=error_file) - result_list, err_msg = compare_ops_apply(n_value, b_value, error_flag, err_msg, relative_err=relative_err) - - if npu_bench_name_list[0] != npu_bench_name_list[1]: - err_msg += " Fuzzy matching data, the comparison accuracy may be affected." - result_list.append(err_msg) - return result_list - - -def handle_inf_nan(n_value, b_value): - n_inf = np.isinf(n_value) - b_inf = np.isinf(b_value) - n_nan = np.isnan(n_value) - b_nan = np.isnan(b_value) - - # merge boolean expressions - any_inf = np.any(n_inf) or np.any(b_inf) - any_nan = np.any(n_nan) or np.any(b_nan) - if any_inf or any_nan: - if np.array_equal(n_inf, b_inf) and np.array_equal(n_nan, b_nan): - n_value[n_inf] = 0 - b_value[b_inf] = 0 - n_value[n_nan] = 0 - b_value[b_nan] = 0 - else: - return CompareConst.NAN, CompareConst.NAN - return n_value, b_value - - -def find_error_rows(result, last_len, n_num_input, highlight_dict, summary_compare=False, md5_compare=False): - """找到单个API中需要高亮的行""" - if md5_compare: - return - npu_max_index = get_header_index('NPU max', summary_compare) - bench_max_index = get_header_index('Bench max', summary_compare) - max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) - - red_lines, yellow_lines = [], [] - LineInfo = namedtuple('LineInfo', ['line_data', 'num_pointer']) - ApiInfo = namedtuple('ApiInfo', ['api_input', 'api_output', 'num_pointer']) - ColorColumns = namedtuple('ColorColumns', ['red', 'yellow']) - color_columns = ColorColumns(red=red_lines, yellow=yellow_lines) - - # 对单行API的输入或输出进行误差判断 - for i, line in enumerate(result): - num = last_len + i - line_info = LineInfo(line_data=line, num_pointer=num) - for rule in HighlightRules.basic_rules.values(): - rule.apply(line_info, color_columns, summary_compare) - - # 对API的输出与输入比较，进行误差判断 - for n, api_out in enumerate(result[n_num_input:len(result)]): - num = last_len + n_num_input + n - if num in red_lines: - continue - if not isinstance(api_out[npu_max_index], (float, int)) \ - or not isinstance(api_out[bench_max_index], (float, int)) \ - or not isinstance(api_out[max_diff_index], (float, int)): - continue - for _, api_in in enumerate(result[0:n_num_input]): - if not isinstance(api_in[npu_max_index], (float, int)) \ - or not isinstance(api_in[bench_max_index], (float, int)) \ - or not isinstance(api_in[max_diff_index], (float, int)): - continue - - api_info = ApiInfo(api_input=api_in, api_output=api_out, num_pointer=num) - if summary_compare: - for rule in HighlightRules.summary_compare_rules.values(): - rule.apply(api_info, color_columns, summary_compare) - else: - for rule in HighlightRules.compare_rules.values(): - rule.apply(api_info, color_columns, summary_compare) - - highlight_dict.get('red_rows', []).extend(list(set(red_lines))) - highlight_dict.get('yellow_rows', []).extend(list(set(yellow_lines) - set(red_lines))) - - -def get_name_and_state(name): - """Get api/module name and state""" - if "input" in name: - api_name = name.split("input")[0] - state = "input" - else: - api_name = name.split("output")[0] - state = "output" - return api_name, state - - -def find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare): - """将dataframe根据API分组，并找到有误差的算子用于高亮""" - result = result_df.values - start, input_num, output_num, end = 0, 0, 0, len(result_df) - last_api_name, last_state = None, None - num, last_len = 0, 0 - for res_i in result: - api_name, state = get_name_and_state(res_i[0]) - if last_api_name: - if api_name == last_api_name: - if state == last_state: - num += 1 - else: - input_num = num - num, last_state = 1, state - else: - output_num = num - find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, - summary_compare, md5_compare) - num, last_api_name, last_state = 1, api_name, state - start += input_num + output_num - input_num, output_num = 1, 0 - else: - num, last_api_name, last_state = 1, api_name, state - if state: - if state == "input": - input_num = num - else: - output_num = num - find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, summary_compare, md5_compare) - - -def highlight_rows_xlsx(result_df, highlight_dict, file_path): - """Write and highlight results in Excel""" - logger.info('Compare result is %s' % file_path) - - wb = openpyxl.Workbook() - ws = wb.active - - # write header - for j, col_name in enumerate(result_df.columns, start=1): - ws.cell(row=1, column=j, value=col_name) - - for i, row in enumerate(result_df.iterrows(), start=2): - for j, value in enumerate(row[1], start=1): - if not isinstance(value, (float, int)): - value = f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else str(value) - ws.cell(row=i, column=j, value=f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else value) - - if (i - 2) in highlight_dict['red_rows']: - ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.RED, - end_color=CompareConst.RED, fill_type="solid") - elif (i - 2) in highlight_dict['yellow_rows']: - ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.YELLOW, - end_color=CompareConst.YELLOW, fill_type="solid") - wb.save(file_path) - change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - - -def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, - fuzzy_match=False): - try: - summary_compare, md5_compare = task_dumppath_get(input_parma) - check_configuration_param(stack_mode, auto_analyze, fuzzy_match) - create_directory(output_path) - check_compare_param(input_parma, output_path, stack_mode, summary_compare, md5_compare) - except CompareException as error: - logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) - compare_core(input_parma, output_path, stack_mode=stack_mode, - auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) - - -def compare_core(input_parma, output_path, **kwargs): - """ - Compares data from multiple JSON files and generates a comparison report. - - Args: - input_parma (dict): A dictionary containing paths to JSON files ("npu_json_path", "bench_json_path", - "stack_json_path"). - output_path (str): The path where the output Excel report will be saved. - **kwargs: Additional keyword arguments including: - - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. - - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. - - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. - - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. - - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. - - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. - - Returns: - """ - # get kwargs or set default value - stack_mode = kwargs.get('stack_mode', False) - auto_analyze = kwargs.get('auto_analyze', True) - suffix = kwargs.get('suffix', '') - fuzzy_match = kwargs.get('fuzzy_match', False) - summary_compare = kwargs.get('summary_compare', False) - md5_compare = kwargs.get('md5_compare', False) - - logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") - file_name = add_time_with_xlsx("compare_result" + suffix) - file_path = os.path.join(os.path.realpath(output_path), file_name) - check_file_not_exists(file_path) - highlight_dict = {'red_rows': [], 'yellow_rows': []} - - with FileOpen(input_parma.get("npu_json_path"), "r") as npu_json, \ - FileOpen(input_parma.get("bench_json_path"), "r") as bench_json, \ - FileOpen(input_parma.get("stack_json_path"), "r") as stack_json: - result_df = compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, - summary_compare, md5_compare) - - if not md5_compare and not summary_compare: - result_df = _do_multi_process(input_parma, result_df) - find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) - highlight_rows_xlsx(result_df, highlight_dict, file_path) - if auto_analyze: - advisor = Advisor(result_df, output_path) - advisor.analysis() - - -def parse(pkl_file, module_name_prefix): - if not isinstance(module_name_prefix, str): - logger.error("The parameter:module_name_prefix is not a string.") - raise CompareException(CompareException.INVALID_PARAM_ERROR) - with FileOpen(pkl_file, "r") as f: - done = False - title_printed = False - while not done: - pkl_line = f.readline() - if pkl_line == '\n': - continue - if len(pkl_line) == 0: - done = True - break - - msg = json.loads(pkl_line) - info_prefix = msg[0] - if not info_prefix.startswith(module_name_prefix): - continue - - if info_prefix.find("stack_info") != -1: - logger.info("\nTrace back({}):".format(msg[0])) - for item in reversed(msg[1]): - logger.info(" File \"{}\", line {}, in {}".format(item[0], item[1], item[2])) - logger.info(" {}".format(item[3])) - continue - if len(msg) > 5: - summary_info = " [{}][dtype: {}][shape: {}][max: {}][min: {}][mean: {}]" \ - .format(msg[0], msg[3], msg[4], msg[5][0], msg[5][1], msg[5][2]) - if not title_printed: - logger.info("\nStatistic Info:") - title_printed = True - logger.info(summary_info) - - -def op_item_parse(item, op_name, index, item_list=None, top_bool=True): - if item_list is None: - item_list = [] - if item is None or (isinstance(item, dict) and not item): - if not top_bool: - tmp = {'full_op_name': op_name + '.' + str(index), 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, - 'dtype': None, 'shape': None, 'md5': None, 'data_name': '-1'} - else: - tmp = {'full_op_name': op_name + '.0', 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, 'dtype': None, - 'shape': None, 'md5': None, 'data_name': '-1'} - item_list.append(tmp) - return item_list - if index is None: - if isinstance(item, dict): - full_op_name = op_name + '.0' - else: - full_op_name = op_name - else: - full_op_name = op_name + Const.SEP + str(index) - if isinstance(item, dict): - if 'type' not in item: - for kwarg in item: - kwarg_parsed_list = op_item_parse(item[kwarg], op_name + Const.SEP + kwarg, None) - item_list += kwarg_parsed_list - kwarg_parsed_list.clear() - elif 'dtype' in item: - parsed_item = item - parsed_item['full_op_name'] = full_op_name - item_list.append(parsed_item) - elif 'type' in item: - parsed_item = {} - if item['type'] == 'torch.Size': - parsed_item['full_op_name'] = full_op_name - parsed_item['dtype'] = 'torch.Size' - parsed_item['shape'] = str(item['value']) - parsed_item['md5'] = None - parsed_item['Max'] = None - parsed_item['Min'] = None - parsed_item['Mean'] = None - parsed_item['Norm'] = None - parsed_item['data_name'] = '-1' - item_list.append(parsed_item) - elif item['type'] == 'slice': - parsed_item['full_op_name'] = full_op_name - parsed_item['dtype'] = 'slice' - parsed_item['shape'] = str(np.shape(np.array(item['value']))) - parsed_item['md5'] = None - parsed_item['Max'] = None - parsed_item['Min'] = None - parsed_item['Mean'] = None - parsed_item['Norm'] = None - parsed_item['data_name'] = '-1' - item_list.append(parsed_item) - else: - parsed_item['full_op_name'] = full_op_name - parsed_item['dtype'] = str(type(item['value'])) - parsed_item['shape'] = '[]' - parsed_item['md5'] = None - parsed_item['Max'] = item['value'] - parsed_item['Min'] = item['value'] - parsed_item['Mean'] = item['value'] - parsed_item['Norm'] = item['value'] - parsed_item['data_name'] = '-1' - item_list.append(parsed_item) - else: - resolve_api_special_parameters(item, full_op_name, item_list) - else: - for j, item_spec in enumerate(item): - op_item_parse(item_spec, full_op_name, j, item_list=item_list, top_bool=False) - return item_list - - -def resolve_api_special_parameters(data_dict, full_op_name, item_list): - """ - Function Description: - 解析下面格式的数据, 是api参数的一种特殊格式 - { - "last_hidden_state": { - "type": "torch.Tensor", - "dtype": "torch.bfloat16", - ... - }, - "loss": { - "type": "torch.Tensor", - "dtype": "torch.float32", - ... - } - } - Parameter: - data_dict: 字典格式的数据 - full_op_name: 参数的全名字符串 - item_list: 参数信息集合 - """ - for key, value in data_dict.items(): - if isinstance(value, dict): - parsed_item = value - parts = full_op_name.split(".") - parts.insert(-1, key) - full_op_name_new = ".".join(parts) - parsed_item['full_op_name'] = full_op_name_new - item_list.append(parsed_item) - - -def read_op(op_data, op_name): - op_parsed_list = [] - if 'forward' in op_name: - if 'input_args' in op_data: - input_item = op_data['input_args'] - input_parsed_list = op_item_parse(input_item, op_name + '_input', None) - op_parsed_list = input_parsed_list.copy() - input_parsed_list.clear() - if 'input_kwargs' in op_data: - kwargs_item = op_data['input_kwargs'] - if isinstance(kwargs_item, dict) and "type" in kwargs_item or isinstance(kwargs_item, list): - kwarg_parsed_list = op_item_parse(kwargs_item, op_name + '_input', None) - op_parsed_list += kwarg_parsed_list - kwarg_parsed_list.clear() - elif kwargs_item: - for kwarg in kwargs_item: - kwarg_parsed_list = op_item_parse(kwargs_item[kwarg], op_name + '_input.' + kwarg, None) - op_parsed_list += kwarg_parsed_list - kwarg_parsed_list.clear() - if 'output' in op_data: - output_item = op_data['output'] - output_parsed_list = op_item_parse(output_item, op_name + '_output', None) - op_parsed_list += output_parsed_list - output_parsed_list.clear() - if 'backward' in op_name: - if 'grad_input' in op_data: - input_item = op_data['grad_input'] - input_parsed_list = op_item_parse(input_item, op_name + '_input', None) - op_parsed_list = input_parsed_list.copy() - input_parsed_list.clear() - if 'grad_output' in op_data: - output_item = op_data['grad_output'] - output_parsed_list = op_item_parse(output_item, op_name + '_output', None) - op_parsed_list += output_parsed_list - output_parsed_list.clear() - return op_parsed_list - - -def compare_process(file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): - npu_json_handle, bench_json_handle, stack_json_handle = file_handles - npu_json_data = json.load(npu_json_handle) - bench_json_data = json.load(bench_json_handle) - stack_json_data = json.load(stack_json_handle) - - if fuzzy_match: - logger.warning("This task uses fuzzy matching, which may affect the accuracy of the comparison.") - - npu_ops_queue = [] - bench_ops_queue = [] - result = [] - - ops_npu_iter = iter(npu_json_data['data']) - ops_bench_iter = iter(bench_json_data['data']) - read_err_npu = True - read_err_bench = True - last_npu_ops_len = 0 - last_bench_ops_len = 0 - - while True: - if not read_err_npu and not read_err_bench: - break - try: - last_npu_ops_len = len(npu_ops_queue) - op_name_npu = next(ops_npu_iter) - read_err_npu = True - - npu_op_data = npu_json_data['data'][op_name_npu] - npu_op_parsed_list = read_op(npu_op_data, op_name_npu) - if op_name_npu in stack_json_data: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) - else: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) - - npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) - if npu_merge_list: - npu_ops_queue.append(npu_merge_list) - except StopIteration: - read_err_npu = False - try: - last_bench_ops_len = len(bench_ops_queue) - op_name_bench = next(ops_bench_iter) - - bench_op_data = bench_json_data['data'][op_name_bench] - bench_op_parsed_list = read_op(bench_op_data, op_name_bench) - if op_name_bench in stack_json_data: - bench_op_parsed_list.append( - {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) - else: - bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) - - bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) - if bench_merge_list: - bench_ops_queue.append(bench_merge_list) - except StopIteration: - read_err_bench = False - - # merge all boolean expressions - both_empty = not npu_ops_queue and not bench_ops_queue - no_change = (len(npu_ops_queue) == last_npu_ops_len) and (len(bench_ops_queue) == last_bench_ops_len) - if both_empty or no_change: - continue - - n_match_point, b_match_point = match_op(npu_ops_queue, bench_ops_queue, fuzzy_match) - if n_match_point == -1 and b_match_point == -1: - continue - n_match_data = npu_ops_queue[n_match_point] - b_match_data = bench_ops_queue[b_match_point] - un_match_data = npu_ops_queue[0: n_match_point] - for npu_data in un_match_data: - get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) - get_accuracy(result, n_match_data, b_match_data, summary_compare, md5_compare) - del npu_ops_queue[0: n_match_point + 1] - del bench_ops_queue[0: b_match_point + 1] - if npu_ops_queue: - for npu_data in npu_ops_queue: - get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) - - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - - result_df = pd.DataFrame(result, columns=header) - return result_df - - -def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): - index_out = 0 - npu_stack_info = n_dict.get("stack_info", None) - bench_name, bench_type, bench_shape = CompareConst.NAN, CompareConst.NAN, CompareConst.NAN - err_msg = CompareConst.NO_BENCH - accuracy_check_res = CompareConst.NAN - for index, n_name in enumerate(n_dict["op_name"]): - if n_name.find("input") != -1: - n_struct = n_dict["input_struct"][index] - else: - n_struct = n_dict["output_struct"][index_out] - index_out += 1 - - result_item = [n_name, bench_name, n_struct[0], bench_type, n_struct[1], bench_shape] - if md5_compare: - result_item.extend([CompareConst.NAN] * 3) - if npu_stack_info and index == 0: - result_item.extend(npu_stack_info) - result.append(result_item) - continue - if summary_compare: - result_item.extend([CompareConst.NAN] * 8) - else: - result_item.extend([CompareConst.NAN] * 5) - summary_data = n_dict.get("summary")[index] - result_item.extend(summary_data) - summary_data = [CompareConst.NAN] * 4 - result_item.extend(summary_data) - result_item.append(accuracy_check_res) - result_item.append(err_msg) - if npu_stack_info and index == 0: - result_item.extend(npu_stack_info) - if not md5_compare and not summary_compare and result_item[1] == CompareConst.NAN: - if index == 0: - result_item.extend(["-1"]) - else: - result_item.extend([CompareConst.NONE, "-1"]) - result.append(result_item) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py new file mode 100644 index 0000000000..361e957f2c --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py @@ -0,0 +1,24 @@ +import json +from msprobe.core.common.file_check import FileOpen, check_file_type +from msprobe.core.common.const import FileCheckConst +from msprobe.core.common.utils import CompareException +from msprobe.core.common.log import logger +from msprobe.mindspore.compare.ms_compare import ms_compare +from msprobe.mindspore.compare.distributed_compare import compare_distributed + + +def compare_cli_ms(args): + with FileOpen(args.input_path, "r") as file: + input_param = json.load(file) + npu_path = input_param.get("npu_path", None) + bench_path = input_param.get("bench_path", None) + + if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: + ms_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, + fuzzy_match=args.fuzzy_match) + elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: + kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} + compare_distributed(npu_path, bench_path, args.output_path, **kwargs) + else: + logger.error("The npu_path and bench_path need to be of the same type.") + raise CompareException(CompareException.INVALID_COMPARE_MODE) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 303692dec5..94d03f4f21 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -57,8 +57,8 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): def extract_json(dirname, stack_json=False): json_path = '' for fname in os.listdir(dirname): - full_path = os.path.join(dirname, fname) if fname=="construct.json": continue + full_path = os.path.join(dirname, fname) if full_path.endswith('.json'): json_path = full_path if not stack_json and 'stack' not in json_path: diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/highlight.py b/debug/accuracy_tools/msprobe/mindspore/compare/highlight.py deleted file mode 100644 index 82f0022f8b..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/compare/highlight.py +++ /dev/null @@ -1,100 +0,0 @@ -import math -import abc -import numpy as np -from msprobe.core.common.utils import get_header_index -from msprobe.core.common.const import CompareConst - - -class HighlightCheck(abc.ABC): - @abc.abstractmethod - def apply(self, info, color_columns, summary_compare): - raise NotImplementedError - - -class CheckOrderMagnitude(HighlightCheck): - """检查Max diff的数量级差异""" - def apply(self, info, color_columns, summary_compare=True): - api_in, api_out, num = info - max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) - if abs(api_in[max_diff_index]) > abs(api_out[max_diff_index]): - return - in_order = 0 if abs(api_in[max_diff_index]) < 1 else math.log10(abs(api_in[max_diff_index])) - out_order = 0 if abs(api_out[max_diff_index]) < 1 else math.log10(abs(api_out[max_diff_index])) - if out_order - in_order >= CompareConst.ORDER_MAGNITUDE_DIFF_YELLOW: - color_columns.yellow.append(num) - - -class CheckOneThousandErrorRatio(HighlightCheck): - """检查千分误差比率""" - def apply(self, info, color_columns, summary_compare=True): - api_in, api_out, num = info - one_thousand_index = get_header_index('One Thousandth Err Ratio', summary_compare) - if not isinstance(api_in[one_thousand_index], (float, int)) or not isinstance(api_out[one_thousand_index], (float, int)): - return - if api_in[one_thousand_index] > CompareConst.ONE_THOUSAND_ERROR_IN_RED and api_out[one_thousand_index] < CompareConst.ONE_THOUSAND_ERROR_OUT_RED: - color_columns.red.append(num) - elif api_in[one_thousand_index] - api_out[one_thousand_index] > CompareConst.ONE_THOUSAND_ERROR_DIFF_YELLOW: - color_columns.yellow.append(num) - - -class CheckCosineSimilarity(HighlightCheck): - """检查余弦相似度""" - def apply(self, info, color_columns, summary_compare=True): - api_in, api_out, num = info - cosine_index = get_header_index('Cosine', summary_compare) - if not isinstance(api_in[cosine_index], (float, int)) or not isinstance(api_out[cosine_index], (float, int)): - return - if api_in[cosine_index] - api_out[cosine_index] > CompareConst.COSINE_DIFF_YELLOW: - color_columns.yellow.append(num) - - -class CheckMaxRelativeDiff(HighlightCheck): - """检查最大相对差异""" - def apply(self, info, color_columns, summary_compare=True): - api_in, api_out, num = info - max_diff_index = get_header_index('Max diff', summary_compare) - bench_max_index = get_header_index('Bench max', summary_compare) - input_max_relative_diff = np.abs(np.divide(api_in[max_diff_index], max(0.01, api_in[bench_max_index]))) - output_max_relative_diff = np.abs(np.divide(api_out[max_diff_index], max(0.01, api_out[bench_max_index]))) - if not isinstance(input_max_relative_diff, (float, int)) or not isinstance(output_max_relative_diff, - (float, int)): - return - if output_max_relative_diff > CompareConst.MAX_RELATIVE_OUT_RED: - color_columns.red.append(num) - elif output_max_relative_diff > CompareConst.MAX_RELATIVE_OUT_YELLOW and input_max_relative_diff < CompareConst.MAX_RELATIVE_IN_YELLOW: - color_columns.yellow.append(num) - - -class CheckOverflow(HighlightCheck): - """检查是否存在溢出""" - def apply(self, info, color_columns, summary_compare=True): - line, num = info - npu_max_index = get_header_index('NPU max', summary_compare) - npu_min_index = get_header_index('NPU min', summary_compare) - max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) - if str(line[npu_max_index]) in CompareConst.OVERFLOW_LIST or str( - line[npu_min_index]) in CompareConst.OVERFLOW_LIST: - color_columns.red.append(num) - return - # check if Max_Diff > 1e+10 - if isinstance(line[max_diff_index], (float, int)) and line[max_diff_index] > CompareConst.MAX_DIFF_RED: - color_columns.red.append(num) - - -class HighlightRules: - """高亮规则集合，用于检查API的误差""" - # 适用于每行的规则 - basic_rules = { - "check_overflow": CheckOverflow() - } - - # 用于比较输入和输出的规则 - compare_rules = { - "check_order_magnitude": CheckOrderMagnitude(), - "check_one_thousand_error": CheckOneThousandErrorRatio(), - "check_cosine_similarity": CheckCosineSimilarity() - } - summary_compare_rules = { - "check_order_magnitude": CheckOrderMagnitude(), - "check_max_relative_diff": CheckMaxRelativeDiff(), - } diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml b/debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml deleted file mode 100644 index eaffbe7a18..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/compare/mapping.yaml +++ /dev/null @@ -1,607 +0,0 @@ -__and__: __and__ -__iand__: __iand__ -__ilshift__: __ilshift__ -__ior__: __ior__ -__irshift__: __irshift__ -__ixor__: __ixor__ -__lshift__: __lshift__ -__or__: __or__ -__rshift__: __rshift__ -__xor__: __xor__ -_adaptive_avg_pool2d: adaptive_avg_pool2d -_adaptive_avg_pool3d: adaptive_avg_pool3d -_cdist_forward: cdist -_cudnn_rnn: rnn -_embedding_bag: embedding_bag -_fft_c2c: fft -_fft_c2r: rfft -_foreach_add_: _foreach_add_ -_foreach_addcdiv: _foreach_addcdiv -_foreach_copy_: _foreach_copy_ -_foreach_lerp_: _foreach_lerp_ -_foreach_maximum: _foreach_maximum -_foreach_mul: _foreach_mul -_foreach_neg_: _foreach_neg_ -_foreach_pow: _foreach_pow -_foreach_reciprocal_: _foreach_reciprocal_ -_foreach_sign: _foreach_sign -_foreach_sqrt: _foreach_sqrt -_foreach_sqrt_: _foreach_sqrt_ -_foreach_sub: _foreach_sub -_fused_adam: FusedAdam -_linalg_det: det -_linalg_eigh: eigh -_linalg_slogdet: slogdet -_linalg_svd: svd -_list_to_tensor: as_tensor -_log_softmax: log_softmax -_native_batch_norm_legit: batch_norm -_nested_tensor_from_tensor_list: _nested_tensor_from_tensor_list -_pdist_forward: pdist -_pin_memory: pin_memory -_reshape_alias: reshape -_resize_output_: resize_ -_softmax: softmax -_to_copy: to -abs: abs -abs_: abs_ -absolute: abs -absolute_: abs_ -acos: acos -acos_: acos_ -acosh: acosh -acosh_: acosh_ -adaptive_max_pool2d: adaptive_max_pool2d -adaptive_max_pool3d: adaptive_max_pool3d -add: add -add_: add_ -addbmm: addbmm -addbmm_: addbmm_ -addcdiv: addcdiv -addcdiv_: addcdiv_ -addcmul: addcmul -addcmul_: addcmul_ -addmm: addmm -addmm_: addmm_ -addmv: addmv -addmv_: addmv_ -addr: addr -affine_grid_generator: affine_grid -alias: alias -all: all -alpha_dropout: AlphaDropout -amax: amax -amin: amin -aminmax: aminmax -angle: angle -any: any -arange: arange -arccos: acos -arccos_: arccos_ -arccosh: arccosh -arccosh_: arccosh_ -arcsin: asin -arcsin_: arcsin_ -arcsinh: asinh -arcsinh_: arcsinh_ -arctan: atan -arctan2: atan2 -arctan2_: arctan2_ -arctan_: arctan_ -arctanh: arctanh -arctanh_: arctanh_ -argmax: argmax -argmin: argmin -argsort: argsort -as_strided: as_strided -asin: asin -asin_: asin_ -asinh: asinh -asinh_: asinh_ -atan: atan -atan2: atan2 -atan2_: atan2_ -atan_: atan_ -atanh: atanh -atanh_: atanh_ -avg_pool2d: avg_pool2d -avg_pool3d: avg_pool3d -baddbmm: baddbmm -baddbmm_: baddbmm_ -bernoulli: bernoulli -bernoulli_: bernoulli_ -binary_cross_entropy: BCELoss -binary_cross_entropy_with_logits: binary_cross_entropy_with_logits -bitwise_and: bitwise_and -bitwise_and_: bitwise_and_ -bitwise_left_shift: __lshift__ -bitwise_left_shift_: bitwise_left_shift_ -bitwise_not: bitwise_not -bitwise_not_: bitwise_not_ -bitwise_or: bitwise_or -bitwise_or_: bitwise_or_ -bitwise_right_shift: __rshift__ -bitwise_right_shift_: bitwise_right_shift_ -bitwise_xor: bitwise_xor -bitwise_xor_: bitwise_xor_ -bmm: bmm -broadcast_tensors: broadcast_tensors -bucketize: bucketize -cat: cat -cauchy: Cauchy -cauchy_: cauchy_ -ceil: ceil -ceil_: ceil_ -celu: celu -celu_: celu_ -cholesky: cholesky -cholesky_inverse: cholesky_inverse -cholesky_solve: cholesky_solve -clamp: clamp -clamp_: clamp_ -clamp_max: clamp_max -clamp_max_: clamp_max_ -clamp_min: clamp_min -clamp_min_: clamp_min_ -clip: clip -clip_: clip_ -clone: clone -col2im: col2im -complex: complex -conj_physical: conj -conj_physical_: conj_ -constant_pad_nd: pad -convolution: Conv2d -copy: copy_ -copy_: copy_ -copysign: copysign -copysign_: copysign_ -cos: cos -cos_: cos_ -cosh: cosh -cosh_: cosh_ -count_nonzero: count_nonzero -cudnn_batch_norm: BatchNorm2d -cummax: cummax -cummin: cummin -cumprod: cumprod -cumprod_: cumprod_ -cumsum: cumsum -cumsum_: cumsum_ -deg2rad: deg2rad -deg2rad_: deg2rad_ -detach: detach -diag: diag -diag_embed: diag_embed -diagonal: diagonal -diagonal_copy: diagonal -diagonal_scatter: diagonal -digamma: digamma -digamma_: digamma_ -dist: dist -div: div -div_: div_ -divide: div -divide_: divide_ -dot: dot -dropout: dropout -elu: ELU -elu_: elu_ -embedding: embedding -empty_like: empty_like -empty_strided: empty_strided -eq: eq -eq_: eq_ -erf: erf -erf_: erf_ -erfc: erfc -erfc_: erfc_ -erfinv: erfinv -erfinv_: erfinv_ -exp: exp -exp2: exp2 -exp2_: exp2_ -exp_: exp_ -expand: expand -expm1: expm1 -expm1_: expm1_ -exponential: Exponential -exponential_: exponential_ -eye: eye -fft_fft: fft -fft_fft2: fft2 -fft_fftn: fftn -fft_fftshift: fftshift -fft_hfft: hfft -fft_hfft2: hfft2 -fft_hfftn: hfftn -fft_ifft: ifft -fft_ifft2: ifft2 -fft_ifftn: ifftn -fft_ifftshift: ifftshift -fft_ihfft: ihfft -fft_ihfft2: ihfft2 -fft_ihfftn: ifftn -fft_irfft: irfft -fft_irfft2: irfft2 -fft_irfftn: irfftn -fft_rfft: rfft -fft_rfft2: rfft2 -fft_rfftn: rfftn -fill: fill_ -fill_: fill_ -fix: fix -fix_: fix_ -flip: flip -float_power_: float_power_ -floor: floor -floor_: floor_ -floor_divide: floor_divide -floor_divide_: floor_divide_ -fmax: fmax -fmin: fmin -fmod: fmod -fmod_: fmod_ -frac: frac -frac_: frac_ -full: full -full_like: full_like -gather: gather -gcd: gcd -gcd_: gcd_ -ge: ge -ge_: ge_ -gelu: GELU -gelu_: gelu_ -geometric: Geometric -geometric_: geometric_ -glu: glu -greater: gt -greater_: ge_ -greater_equal: ge -greater_equal_: ge_ -grid_sampler_2d: grid_sample -grid_sampler_3d: grid_sample -gru: GRU -gt: gt -gt_: gt_ -hardshrink: Hardshrink -hardsigmoid: hardsigmoid -hardsigmoid_: hardsigmoid_ -hardswish: hardswish -hardswish_: hardswish_ -hardtanh: hardtanh -hardtanh_: hardtanh_ -heaviside: heaviside -heaviside_: heaviside_ -hinge_embedding_loss: HingeEmbeddingLoss -huber_loss: huber_loss -hypot: hypot -hypot_: hypot_ -i0: i0 -i0_: i0_ -igamma: igamma -igamma_: igamma_ -igammac: igammac -igammac_: igammac_ -index: __getitem__ -index_add: index_add -index_add_: index_add_ -index_copy: index_copy_ -index_copy_: index_copy_ -index_fill: index_fill_ -index_fill_: index_fill_ -index_put: index_put_ -index_put_: index_put_ -index_reduce: index_select -index_select: index_select -is_pinned: is_pinned -is_same_size: is_same_size -isinf: isinf -isnan: isnan -isneginf: isneginf -isposinf: isposinf -istft: istft -item: item -lcm: lcm -lcm_: lcm_ -le: le -le_: le_ -leaky_relu: LeakyReLU -leaky_relu_: leaky_relu_ -lerp: lerp -lerp_: lerp_ -less: less -less_: less_ -less_equal: le -less_equal_: less_equal_ -lgamma: lgamma -lgamma_: lgamma_ -linalg_cholesky_ex: cholesky -linalg_cross: cross -linalg_householder_product: householder_product -linalg_inv_ex: inv -linalg_ldl_factor_ex: ldl -linalg_ldl_solve: ldl_solve -linalg_lu: lu -linalg_lu_factor_ex: lu_factor -linalg_lu_solve: lu_solve -linalg_matrix_exp: matrix_exp -linalg_qr: qr -linalg_solve_triangular: solve -linalg_vector_norm: norm -linspace: linspace -log: log -log10: log10 -log10_: log10_ -log1p: log1p -log1p_: log1p_ -log2: log2 -log2_: log2_ -log_: log_ -log_normal: LogNormal -log_sigmoid_forward: log_sigmoid -logaddexp: logaddexp -logaddexp2: logaddexp2 -_native_batch_norm_legit_functional: batch_norm -logcumsumexp: logcumsumexp -logical_and: logical_and -logical_and_: logical_and_ -logical_not: logical_not -logical_not_: logical_not_ -logical_or: logical_or -logical_or_: logical_or_ -logical_xor: logical_xor -logical_xor_: logical_xor_ -logit: logit -logit_: logit_ -logspace: logspace -logsumexp: logsumexp -lstm: LSTM -lt: lt -lt_: lt_ -lu_unpack: lu_unpack -margin_ranking_loss: margin_ranking_loss -masked_fill: masked_fill -masked_fill_: masked_fill_ -matmul: matmul -max: max -max_pool2d_with_indices: MaxPool2d -max_pool3d_with_indices: MaxPool3d -max_unpool2d: MaxUnpool2d -max_unpool3d: max_unpool3d -maximum: maximum -mean: mean -median: median -meshgrid: meshgrid -min: min -minimum: minimum -mish: Mish -mish_: mish_ -mm: mm -mode: mode -mse_loss: mse_loss -mul: mul -mul_: mul_ -multi_margin_loss: MultiMarginLoss -multilabel_margin_loss_forward: multilabel_margin_loss -multinomial: multinomial -multiply: multiply -multiply_: mul_ -mv: mv -mvlgamma: mvlgamma -mvlgamma_: mvlgamma_ -name: name -nan_to_num: nan_to_num -nan_to_num_: nan_to_num_ -nanmedian: nanmedian -nansum: nansum -narrow_copy: narrow -native_batch_norm: BatchNorm2d -native_dropout: dropout -native_group_norm: group_norm -native_layer_norm: LayerNorm -ne: ne -ne_: ne_ -neg: neg -neg_: neg_ -negative: neg -negative_: neg_ -new_empty: new_empty -new_empty_strided: new_empty_strided -new_full: new_full -new_ones: new_ones -new_zeros: new_zeros -nextafter: nextafter -nextafter_: nextafter_ -nll_loss: nll_loss -nll_loss2d_forward: NLLLoss2d -nll_loss_forward: NLLLoss -nonzero_static: nonzero -norm: norm -normal: normal -normal_: normal_ -not_equal: ne -not_equal_: ne_ -ones: ones -ones_like: ones_like -ormqr: ormqr -pairwise_distance: pairwise_distance -pdist: pdist -permute: permute -pin_memory: pin_memory -pixel_shuffle: PixelShuffle -polar: polar -polygamma: polygamma -positive: positive -pow: pow -pow_: pow_ -prelu: prelu -prod: prod -quantized_gru: GRU -quantized_lstm: LSTM -rad2deg: rad2deg -rad2deg_: rad2deg_ -rand: rand -rand_like: rand_like -randint: randint -randint_like: randint_like -randn: randn -randn_like: randn_like -randperm: randperm -reciprocal: reciprocal -reciprocal_: reciprocal_ -reflection_pad1d: reflection_pad1d -reflection_pad2d: reflection_pad2d -reflection_pad3d: ReflectionPad3d -relu: relu -relu6: relu6 -relu_: relu_ -remainder: remainder -remainder_: remainder_ -renorm: renorm -renorm_: renorm_ -repeat: repeat -repeat_interleave: repeat_interleave -replication_pad1d: ReplicationPad1d -replication_pad2d: replication_pad2d -replication_pad3d: replication_pad3d -resize_as_: resize_as_ -rnn_relu: RNN -rnn_tanh: RNN -roll: roll -rot90: rot90 -round: round -round_: round_ -rrelu_with_noise: RReLU -rrelu_with_noise_: rrelu_with_noise -rsqrt: rsqrt -rsqrt_: rsqrt_ -rsub: rsub -scalar_tensor: scalar_tensor -scatter: scatter_ -scatter_: scatter_ -scatter_add: scatter_add -scatter_add_: scatter_add_ -searchsorted: searchsorted -select: select -selu: selu -selu_: selu_ -sgn: sgn -sgn_: sgn_ -sigmoid: sigmoid -sigmoid_: sigmoid_ -sign: sign -sign_: sign_ -signbit: signbit -silu: silu -silu_: silu_ -sin: sin -sin_: sin_ -sinc: sinc -sinc_: sinc_ -sinh: sinh -sinh_: sinh_ -slice: slice -smooth_l1_loss: smooth_l1_loss -soft_margin_loss: soft_margin_loss -softplus: softplus -softshrink: softshrink -sort: sort -special_airy_ai: airy_ai -special_bessel_j0: j0 -special_bessel_j1: j1 -special_bessel_y0: y0 -special_bessel_y1: y1 -special_chebyshev_polynomial_t: chebyshev_t -special_chebyshev_polynomial_u: chebyshev_u -special_entr: entr -special_erfcx: erfcx -special_hermite_polynomial_h: hermite -special_hermite_polynomial_he: he -special_i0: i0 -special_i0e: i0e -special_i1: i1 -special_i1e: i1e -special_laguerre_polynomial_l: laguerre_l -special_log_ndtr: log_ndtr -special_modified_bessel_i0: i0 -special_modified_bessel_i1: i1 -special_modified_bessel_k0: k0 -special_modified_bessel_k1: i1 -special_ndtr: ndtr -special_ndtri: ndtri -special_scaled_modified_bessel_k0: i0e -special_scaled_modified_bessel_k1: scaled_modified_bessel_k1 -special_spherical_bessel_j0: spherical_jn -special_xlog1py: xlog1py -special_zeta: zeta -split: split -split_with_sizes: split -sqrt: sqrt -sqrt_: sqrt_ -square: square -square_: square_ -squeeze: squeeze -stack: stack -std: std -std_mean: std_mean -stft: stft -sub: sub -sub_: sub_ -subtract: sub -subtract_: subtract_ -sum: sum -t: t -t_: t_ -take: take -tan: tan -tan_: tan_ -tanh: tanh -tanh_: tanh_ -threshold: threshold -threshold_: threshold_ -to: to -topk: topk -trace: trace -transpose: transpose -transpose_: transpose_ -triangular_solve: triangular_solve -tril: tril -tril_: tril_ -tril_indices: tril_indices -triu: triu -triu_: triu_ -triu_indices: triu_indices -true_divide: true_divide -true_divide_: true_divide_ -trunc: trunc -trunc_: trunc_ -unbind: unbind -unfold: unfold -uniform: Uniform -uniform_: uniform_ -unsafe_chunk: unsafe_chunk -unsafe_split: split -unsafe_split_with_sizes: split_with_sizes -unsqueeze: unsqueeze -unsqueeze_: unsqueeze_ -upsample_bicubic2d: interpolate -upsample_bilinear2d: upsample_bilinear -upsample_nearest1d: interpolate -upsample_nearest2d: interpolate -upsample_nearest3d: interpolate -var: var -var_mean: var_mean -vdot: vdot -view: view -where: where -xlogy: xlogy -xlogy_: xlogy_ -zero: zeros -zero_: zero_ -zeros: zeros -zeros_like: zeros_like - - - diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/match.py b/debug/accuracy_tools/msprobe/mindspore/compare/match.py deleted file mode 100644 index 6347d8887c..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/compare/match.py +++ /dev/null @@ -1,36 +0,0 @@ -import os -import yaml -from msprobe.core.common.file_check import FileOpen -from msprobe.core.common.utils import CompareException - - -class AtenIrMapping(): - def __init__(self): - cur_path = os.path.dirname(os.path.realpath(__file__)) - yaml_path = os.path.join(cur_path, "mapping.yaml") - with FileOpen(yaml_path, 'r') as f: - self.aten_mapping = yaml.safe_load(f) - - def match(self, op1, op2): - if "Aten" in op1 and "Aten" not in op2: - return self.match_op(op1, op2) - else: - return self.match_op(op2, op1) - - def match_op(self, aten_op, torch_op): - try: - aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) - aten_op_raw_name = aten_op_raw_name_overload.split('.')[0] - torch_op_raw_name = '_'.join(torch_op.split("_")[1:-3]).lower() - except IndexError as e: - err_msg = f"Dump op name format error: {aten_op}, {torch_op}. Your dump data may be corrupted." - raise CompareException.INVALID_DATA_ERROR(err_msg) from e - matching_op = self.aten_mapping.get(aten_op_raw_name) - if matching_op is None: - return False - if matching_op.lower() == torch_op_raw_name: - return True - return False - - -graph_mapping = AtenIrMapping() diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 9e93a51590..34d37b4fe1 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -9,7 +9,7 @@ from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory -from msprobe.core.common.const import Const, CompareConst, FileCheckConst +from msprobe.core.common.const import CompareConst, FileCheckConst from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process @@ -133,31 +133,6 @@ class MSComparator (Comparator): if npu_ops_queue: for npu_data in npu_ops_queue: get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) - - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df @@ -253,53 +228,24 @@ class MSComparator (Comparator): advisor.analysis() -# def compare(input_parma, output_path, stack_mode=False, auto_analyze=True, -# fuzzy_match=False): -# try: -# summary_compare, md5_compare = task_dumppath_get(input_parma) -# check_configuration_param(stack_mode, auto_analyze, fuzzy_match) -# create_directory(output_path) -# check_compare_param(input_parma, output_path, summary_compare, md5_compare) -# except CompareException as error: -# logger.error('Compare failed. Please check the arguments and do it again!') -# sys.exit(error.code) -# compare_core(input_parma, output_path, stack_mode=stack_mode, -# auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, -# md5_compare=md5_compare) - -def ms_compare(args): - with FileOpen(args.input_path, "r") as file: - input_param = json.load(file) +def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_param) - check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) - create_directory(args.output_path) - check_compare_param(input_param, args.output_path, summary_compare, md5_compare) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - msComparator= MSComparator() - msComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, - auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) + msComparator=MSComparator() + msComparator.compare_core(input_param, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) -def _compare_parser(parser): - parser.add_argument("-i", "--input_path", dest="input_path", type=str, - help=" The compare input path, a dict json.", required=True) - parser.add_argument("-o", "--output_path", dest="output_path", type=str, - help=" The compare task result out path.", required=True) - parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", - help=" Whether to save stack info.", required=False) - parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", - help=" Whether to give advisor.", required=False) - parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", - help=" Whether to perform a fuzzy match on the api name.", required=False) - - \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py deleted file mode 100644 index 4ebe6296b7..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/compare/npy_compare.py +++ /dev/null @@ -1,244 +0,0 @@ -import abc -import numpy as np -from msprobe.core.common.utils import format_value -from msprobe.core.common.const import Const, CompareConst -from msprobe.mindspore.common.log import logger - - -def handle_inf_nan(n_value, b_value): - """处理inf和nan的数据""" - n_inf = np.isinf(n_value) - b_inf = np.isinf(b_value) - n_nan = np.isnan(n_value) - b_nan = np.isnan(b_value) - n_invalid = np.any(n_inf) or np.any(n_nan) - b_invalid = np.any(b_inf) or np.any(b_nan) - if n_invalid or b_invalid: - if np.array_equal(n_inf, b_inf) and np.array_equal(n_nan, b_nan): - n_value[n_inf] = 0 - b_value[b_inf] = 0 - n_value[n_nan] = 0 - b_value[b_nan] = 0 - else: - return CompareConst.NAN, CompareConst.NAN - return n_value, b_value - - -def get_error_type(n_value, b_value, error_flag): - """判断数据是否有异常并返回异常的n_value, b_value，同时返回error_flag""" - if error_flag: - return CompareConst.READ_NONE, CompareConst.READ_NONE, True - if n_value.size == 0: # 判断读取到的数据是否为空 - return CompareConst.NONE, CompareConst.NONE, True - if n_value.shape != b_value.shape: # 判断NPU和bench的数据结构是否一致 - return CompareConst.SHAPE_UNMATCH, CompareConst.SHAPE_UNMATCH, True - if not n_value.shape: # 判断数据是否为标量 - return n_value, b_value, False - - n_value, b_value = handle_inf_nan(n_value, b_value) # 判断是否有nan/inf数据 - if n_value is CompareConst.NAN or b_value is CompareConst.NAN: - return CompareConst.NAN, CompareConst.NAN, True - return n_value, b_value, False - - -def reshape_value(n_value, b_value): - """返回reshape后的数据""" - if not n_value.shape: # 判断数据是否为标量 - if n_value.dtype == bool: - n_value = n_value.astype(float) - b_value = b_value.astype(float) - return n_value, b_value - - n_value = n_value.reshape(-1).astype(float) - b_value = b_value.reshape(-1).astype(float) - return n_value, b_value - - -def get_error_message(n_value, b_value, op_name, error_flag, error_file=None): - """获取异常情况的错误信息""" - if error_flag: - if n_value == CompareConst.READ_NONE: - if error_file: - return "Dump file: {} not found.".format(error_file) - return CompareConst.NO_BENCH - if n_value == CompareConst.NONE: - return "This is empty data, can not compare." - if n_value == CompareConst.SHAPE_UNMATCH: - return "Shape of NPU and bench Tensor do not match. Skipped." - if n_value == CompareConst.NAN: - return "The position of inf or nan in NPU and bench Tensor do not match." - else: - if not n_value.shape: - return "This is type of scalar data, can not compare." - if n_value.dtype != b_value.dtype: - logger.warning("Dtype of NPU and bench Tensor do not match: {}".format(op_name)) - return "Dtype of NPU and bench Tensor do not match." - return "" - - -class TensorComparisonBasic(abc.ABC): - """NPU和bench中npy数据的比较模板""" - @abc.abstractmethod - def apply(self, n_value, b_value, error_flag, relative_err=None): - raise NotImplementedError - - -class GetCosineSimilarity(TensorComparisonBasic): - """计算cosine相似度""" - @staticmethod - def correct_data(result): - if result == CompareConst.NAN: - return result - if float(result) > CompareConst.COSINE_THRESHOLD: - return 1.0 - return result - - def apply(self, n_value, b_value, error_flag, relative_err=None): - if error_flag: - if n_value == CompareConst.READ_NONE: - return CompareConst.NONE, '' - if n_value == CompareConst.NONE: - return CompareConst.UNSUPPORTED, '' - if n_value == CompareConst.SHAPE_UNMATCH: - return CompareConst.SHAPE_UNMATCH, '' - if n_value == CompareConst.NAN: - return "N/A", '' - - if not n_value.shape: - return CompareConst.UNSUPPORTED, '' - - with np.errstate(divide='ignore', invalid='ignore'): - if len(n_value) == 1: - return CompareConst.UNSUPPORTED, "This tensor is scalar." - num = n_value.dot(b_value) - a_norm = np.linalg.norm(n_value) - b_norm = np.linalg.norm(b_value) - - if a_norm <= Const.FLOAT_EPSILON and b_norm <= Const.FLOAT_EPSILON: - return 1.0, '' - if a_norm <= Const.FLOAT_EPSILON: - return CompareConst.NAN, 'Cannot compare by Cosine Similarity, All the data is Zero in npu dump data.' - if b_norm <= Const.FLOAT_EPSILON: - return CompareConst.NAN, 'Cannot compare by Cosine Similarity, All the data is Zero in Bench dump data.' - - cos = num / (a_norm * b_norm) - if np.isnan(cos): - return CompareConst.NAN, 'Cannot compare by Cosine Similarity, the dump data has NaN.' - result = format_value(cos) - result = self.correct_data(result) - return 1.0 if float(result) > 0.99999 else result, '' - - -class GetMaxAbsErr(TensorComparisonBasic): - """计算最大绝对误差""" - def apply(self, n_value, b_value, error_flag, relative_err=None): - if error_flag: - if n_value == CompareConst.READ_NONE: - return CompareConst.NONE, "" - if n_value == CompareConst.NONE: - return 0, "" - if n_value == CompareConst.SHAPE_UNMATCH: - return CompareConst.SHAPE_UNMATCH, "" - if n_value == CompareConst.NAN: - return "N/A", "" - - temp_res = n_value - b_value - max_value = np.max(np.abs(temp_res)) - return format_value(max_value), "" - - -def get_relative_err(n_value, b_value): - """计算相对误差""" - with np.errstate(divide='ignore', invalid='ignore'): - if b_value.dtype not in CompareConst.FLOAT_TYPE: - n_value, b_value = n_value.astype(float), b_value.astype(float) - zero_mask = (b_value == 0) - b_value[zero_mask] += np.finfo(b_value.dtype).eps - n_value[zero_mask] += np.finfo(b_value.dtype).eps - relative_err = np.divide((n_value - b_value), b_value) - return np.abs(relative_err) - - -class GetMaxRelativeErr(TensorComparisonBasic): - """计算最大相对误差""" - def apply(self, n_value, b_value, error_flag, relative_err=None): - if error_flag: - if n_value == CompareConst.READ_NONE: - return CompareConst.NONE, '' - if n_value == CompareConst.NONE: - return 0, '' - if n_value == CompareConst.SHAPE_UNMATCH: - return CompareConst.SHAPE_UNMATCH, '' - if n_value == CompareConst.NAN: - return "N/A", '' - - if relative_err is None: - relative_err = get_relative_err(n_value, b_value) - max_relative_err = np.max(np.abs(relative_err)) - if np.isnan(max_relative_err): - message = 'Cannot compare by MaxRelativeError, the data contains nan in dump data.' - return CompareConst.NAN, message - return format_value(max_relative_err), '' - - -class GetThousandErrRatio(TensorComparisonBasic): - """计算相对误差小于千分之一的比例""" - def apply(self, n_value, b_value, error_flag, relative_err=None): - if error_flag: - if n_value == CompareConst.READ_NONE: - return CompareConst.NONE, "" - if n_value == CompareConst.NONE: - return 0, "" - if n_value == CompareConst.SHAPE_UNMATCH: - return CompareConst.SHAPE_UNMATCH, "" - if n_value == CompareConst.NAN: - return "N/A", "" - - if not n_value.shape: - return CompareConst.NAN, "" - if relative_err is None: - relative_err = get_relative_err(n_value, b_value) - if not np.size(relative_err): - return CompareConst.NAN, "" - return format_value(np.sum(relative_err < CompareConst.THOUSAND_RATIO_THRESHOLD) / np.size(relative_err)), "" - - -class GetFiveThousandErrRatio(TensorComparisonBasic): - """计算相对误差小于千分之五的比例""" - def apply(self, n_value, b_value, error_flag, relative_err=None): - if error_flag: - if n_value == CompareConst.READ_NONE: - return CompareConst.NONE, "" - if n_value == CompareConst.NONE: - return 0, "" - if n_value == CompareConst.SHAPE_UNMATCH: - return CompareConst.SHAPE_UNMATCH, "" - if n_value == CompareConst.NAN: - return "N/A", "" - - if not n_value.shape: - return CompareConst.NAN, "" - if relative_err is None: - relative_err = get_relative_err(n_value, b_value) - if not np.size(relative_err): - return CompareConst.NAN, "" - return format_value(np.sum(relative_err < CompareConst.FIVE_THOUSAND_RATIO_THRESHOLD) / np.size(relative_err)), "" - - -class CompareOps: - compare_ops = { - "cosine_similarity": GetCosineSimilarity(), - "max_abs_error": GetMaxAbsErr(), - "max_relative_error": GetMaxRelativeErr(), - "one_thousand_err_ratio": GetThousandErrRatio(), - "five_thousand_err_ratio": GetFiveThousandErrRatio() - } - - -def compare_ops_apply(n_value, b_value, error_flag, err_msg, relative_err=None): - result_list = [] - for op in CompareOps.compare_ops.values(): - result, msg = op.apply(n_value, b_value, error_flag, relative_err=relative_err) - err_msg += msg - result_list.append(result) - return result_list, err_msg diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index d829d7b9e9..5146ee1acb 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -22,9 +22,9 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ _api_precision_compare_command from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command -from msprobe.pytorch.compare.acc_compare import _compare_parser +from msprobe.pytorch.compare.pt_compare import _compare_parser from msprobe.pytorch.compare.compare_cli import compare_cli - +from msprobe.mindspore.compare.compare_cli import compare_cli_ms def main(): parser = argparse.ArgumentParser( @@ -68,7 +68,8 @@ def main(): _run_overflow_check_command(args) elif sys.argv[3] == "compare": compare_cli(args) - + else: + compare_cli_ms(args) if __name__ == "__main__": main() diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py deleted file mode 100644 index ee107fab49..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/compare/acc_compare.py +++ /dev/null @@ -1,1051 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2019-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - -import argparse -import json -import multiprocessing -import os.path -import sys -import torch -import numpy as np -import pandas as pd -import openpyxl -from openpyxl.styles import PatternFill -from collections import namedtuple -from dataclasses import dataclass - -from msprobe.pytorch.compare.match import graph_mapping -from msprobe.pytorch.compare.highlight import HighlightRules, get_header_index -from msprobe.pytorch.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ - get_error_message -from msprobe.pytorch.advisor.advisor import Advisor -from msprobe.pytorch.common.log import logger -from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ - format_value, check_file_not_exists, check_configuration_param, task_dumppath_get -from msprobe.core.common.file_check import FileChecker, change_mode, FileOpen, create_directory, check_file_type -from msprobe.core.common.const import Const, CompareConst, FileCheckConst -from msprobe.core.common.exceptions import FileCheckException - - -def check_graph_mode(a_op_name, b_op_name): - if "Aten" in a_op_name and "Aten" not in b_op_name: - return True - if "Aten" not in a_op_name and "Aten" in b_op_name: - return True - return False - - -def check_op(npu_dict, bench_dict, fuzzy_match): - a_op_name = npu_dict["op_name"] - b_op_name = bench_dict["op_name"] - graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) - if graph_mode: - return graph_mapping.match(a_op_name[0], b_op_name[0]) - struct_match = check_struct_match(npu_dict, bench_dict) - if not fuzzy_match: - return a_op_name == b_op_name and struct_match - is_match = True - try: - is_match = fuzzy_check_op(a_op_name, b_op_name) - except Exception as err: - logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) - is_match = False - return is_match and struct_match - - -def check_struct_match(npu_dict, bench_dict): - npu_struct_in = npu_dict.get("input_struct") - bench_struct_in = bench_dict.get("input_struct") - npu_struct_out = npu_dict.get("output_struct") - bench_struct_out = bench_dict.get("output_struct") - is_match = npu_struct_in == bench_struct_in and npu_struct_out == bench_struct_out - if not is_match: - if len(npu_struct_in) == 0 or len(bench_struct_in) == 0 or len(npu_struct_in) != len(bench_struct_in): - return False - struct_in_is_match = check_type_shape_match(npu_struct_in, bench_struct_in) - struct_out_is_match = check_type_shape_match(npu_struct_out, bench_struct_out) - is_match = struct_in_is_match and struct_out_is_match - return is_match - - -def check_type_shape_match(npu_struct, bench_struct): - shape_type_match = False - for npu_type_shape, bench_type_shape in zip(npu_struct, bench_struct): - npu_type = npu_type_shape[0] - npu_shape = npu_type_shape[1] - bench_type = bench_type_shape[0] - bench_shape = bench_type_shape[1] - shape_match = npu_shape == bench_shape - type_match = npu_type == bench_type - if not type_match: - if [npu_type, bench_type] in [["torch.float16", "torch.float32"], ["torch.float32", "torch.float16"], - ["torch.float16", "torch.bfloat16"], ["torch.bfloat16", "torch.float16"]]: - type_match = True - else: - type_match = False - shape_type_match = shape_match and type_match - if not shape_type_match: - return False - return shape_type_match - - -def fuzzy_check_op(npu_name_list, bench_name_list): - if len(npu_name_list) == 0 or len(bench_name_list) == 0 or len(npu_name_list) != len(bench_name_list): - return False - is_match = True - for npu_name, bench_name in zip(npu_name_list, bench_name_list): - is_match = fuzzy_check_name(npu_name, bench_name) - if not is_match: - break - return is_match - - -def fuzzy_check_name(npu_name, bench_name): - if "forward" in npu_name and "forward" in bench_name: - is_match = rename_api(npu_name, "forward") == rename_api(bench_name, "forward") - elif "backward" in npu_name and "backward" in bench_name: - is_match = rename_api(npu_name, "backward") == rename_api(bench_name, "backward") - else: - is_match = npu_name == bench_name - return is_match - - -def rename_api(npu_name, process): - npu_split = npu_name.split(process) - torch_func_index, in_out = npu_split[0], npu_split[1] - torch_func_split = torch_func_index.rsplit(Const.SEP, 2) - torch_func = str(torch_func_split[0]) + str(in_out) - return torch_func - - -def merge_tensor(tensor_list, summary_compare, md5_compare): - op_dict = {} - op_dict["op_name"] = [] - op_dict["input_struct"] = [] - op_dict["kwargs_struct"] = [] - op_dict["output_struct"] = [] - op_dict["summary"] = [] - op_dict["stack_info"] = [] - - all_mode_bool = not (summary_compare or md5_compare) - if all_mode_bool: - op_dict["data_name"] = [] - - for tensor in tensor_list: - if len(tensor) == 2: - op_dict['stack_info'].append(tensor['full_info']) - break - op_dict["op_name"].append(tensor['full_op_name']) - if not md5_compare: - if tensor['full_op_name'].find("input") != -1: - op_dict["input_struct"].append((tensor['dtype'], tensor['shape'])) - elif tensor['full_op_name'].find("kwarg") != -1: - op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'])) - elif tensor['full_op_name'].find("output") != -1: - op_dict["output_struct"].append((tensor['dtype'], tensor['shape'])) - else: - if tensor['full_op_name'].find("input") != -1: - op_dict["input_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) - elif tensor['full_op_name'].find("kwarg") != -1: - op_dict["kwargs_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) - elif tensor['full_op_name'].find("output") != -1: - op_dict["output_struct"].append((tensor['dtype'], tensor['shape'], tensor['md5'])) - - op_dict["summary"].append([tensor['Max'], tensor['Min'], tensor['Mean'], tensor['Norm']]) - - if all_mode_bool: - op_dict["data_name"].append(tensor['data_name']) - - if not op_dict["kwargs_struct"]: - del op_dict["kwargs_struct"] - return op_dict if op_dict["op_name"] else {} - - -def match_op(npu_queue, bench_queue, fuzzy_match): - for b_index, b_op in enumerate(bench_queue[0: -1]): - if check_op(npu_queue[-1], b_op, fuzzy_match): - return len(npu_queue) - 1, b_index - if check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): - return len(npu_queue) - 1, len(bench_queue) - 1 - for n_index, n_op in enumerate(npu_queue[0: -1]): - if check_op(n_op, bench_queue[-1], fuzzy_match): - return n_index, len(bench_queue) - 1 - return -1, -1 - - -def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=False): - def get_accuracy_core(n_start, n_len, b_start, b_len, key): - min_len = min(n_len, b_len) - npu_stack_info = n_dict.get("stack_info", None) - bench_stack_info = b_dict.get("stack_info", None) - has_stack = npu_stack_info and bench_stack_info - - all_mode_bool = not (summary_compare or md5_compare) - if all_mode_bool: - npu_data_name = n_dict.get("data_name", None) - bench_data_name = b_dict.get("data_name", None) - - for index in range(min_len): - - n_name = n_dict['op_name'][n_start + index] - b_name = b_dict['op_name'][b_start + index] - n_struct = n_dict[key][index] - b_struct = b_dict[key][index] - err_msg = "" - if md5_compare: - result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], - n_struct[2], b_struct[2], - CompareConst.PASS if n_struct[2] == b_struct[2] else CompareConst.DIFF] - if has_stack and index == 0 and key == "input_struct": - result_item.extend(npu_stack_info) - else: - result_item.append(CompareConst.NONE) - result.append(result_item) - continue - - if summary_compare: - result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], - " ", " ", " ", " ", " ", " ", " ", " "] - else: - result_item = [n_name, b_name, n_struct[0], b_struct[0], n_struct[1], b_struct[1], - " ", " ", " ", " ", " "] - - npu_summary_data = n_dict.get("summary")[n_start + index] - result_item.extend(npu_summary_data) - bench_summary_data = b_dict.get("summary")[b_start + index] - result_item.extend(bench_summary_data) - - if summary_compare: - start_idx = CompareConst.SUMMARY_COMPARE_RESULT_HEADER.index(CompareConst.MAX_DIFF) - warning_flag = False - for i, (npu_val, bench_val) in enumerate(zip(npu_summary_data, bench_summary_data)): - if isinstance(npu_val, (float, int)) and isinstance(bench_val, (float, int)): - diff = npu_val - bench_val - if bench_val != 0: - relative = str(abs((diff / bench_val) * 100)) + '%' - else: - relative = "N/A" - result_item[start_idx + i] = diff - result_item[start_idx + i + 4] = relative - magnitude_diff = abs(diff) / (max(abs(npu_val), abs(bench_val)) + 1e-10) - if magnitude_diff > 0.5: - warning_flag = True - else: - result_item[start_idx + i] = CompareConst.NONE - accuracy_check = CompareConst.WARNING if warning_flag else "" - err_msg += "Need double check api accuracy." if warning_flag else "" - for i in range(start_idx, len(result_item)): - if str(result_item[i]) in ('inf', '-inf', 'nan'): - result_item[i] = f'{result_item[i]}\t' - - result_item.append(accuracy_check if summary_compare else CompareConst.ACCURACY_CHECK_YES) - result_item.append(err_msg) - if has_stack and index == 0 and key == "input_struct": - result_item.extend(npu_stack_info) - else: - result_item.append(CompareConst.NONE) - if all_mode_bool: - result_item.append(npu_data_name[n_start + index]) - - result.append(result_item) - - if n_len > b_len: - for index in range(b_len, n_len): - n_name = n_dict['op_name'][n_start + index] - n_struct = n_dict[key][index] - if md5_compare: - result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, - n_struct[1], CompareConst.NAN, n_struct[2], CompareConst.NAN, CompareConst.NAN] - result.append(result_item) - continue - result_item = [n_name, CompareConst.NAN, n_struct[0], CompareConst.NAN, - n_struct[1], CompareConst.NAN, " ", " ", " ", " ", " "] - summary_data = n_dict.get("summary")[n_start + index] - result_item.extend(summary_data) - summary_data = [CompareConst.NAN for _ in range(len(n_dict.get("summary")[0]))] - result_item.extend(summary_data) - - err_msg = "" - result_item.append(CompareConst.ACCURACY_CHECK_YES) - result_item.append(err_msg) - - if has_stack and index == 0 and key == "input_struct": - result_item.extend(npu_stack_info) - else: - result_item.append(CompareConst.NONE) - if all_mode_bool: - result_item.append(npu_data_name[n_start + index]) - - result.append(result_item) - - n_num = len(n_dict['op_name']) - b_num = len(b_dict['op_name']) - n_num_input = len([name for name in n_dict['op_name'] if 'input' in name]) - b_num_input = len([name for name in b_dict['op_name'] if 'input' in name]) - n_num_kwarg = len([name for name in n_dict['op_name'] if 'kwarg' in name]) - b_num_kwarg = len([name for name in b_dict['op_name'] if 'kwarg' in name]) - n_num_output = n_num - n_num_input - n_num_kwarg - b_num_output = b_num - b_num_input - b_num_kwarg - get_accuracy_core(0, n_num_input, 0, b_num_input, 'input_struct') - get_accuracy_core(n_num_input, n_num_kwarg, b_num_input, b_num_kwarg, "kwargs_struct") - get_accuracy_core(n_num_input + n_num_kwarg, n_num_output, b_num_input + b_num_kwarg, b_num_output, 'output_struct') - - -def _do_multi_process(input_parma, result_df): - try: - result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - - -def read_dump_data(result_df): - try: - npu_dump_name_list = result_df.iloc[0:, 0].tolist() - npu_dump_tensor_list = result_df.iloc[0:, -1].tolist() - op_name_mapping_dict = {} - for index, _ in enumerate(npu_dump_name_list): - npu_dump_name = npu_dump_name_list[index] - npu_dump_tensor = npu_dump_tensor_list[index] - op_name_mapping_dict[npu_dump_name] = [npu_dump_tensor, npu_dump_tensor] - return op_name_mapping_dict - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - except IndexError as e: - logger.error('result dataframe elements can not be access.') - raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - - -def _handle_multi_process(func, input_parma, result_df, lock): - process_num = int((multiprocessing.cpu_count() + 1) / 2) - op_name_mapping_dict = read_dump_data(result_df) - - df_chunk_size = len(result_df) // process_num - if df_chunk_size > 0: - df_chunks = [result_df.iloc[i:i + df_chunk_size] for i in range(0, len(result_df), df_chunk_size)] - else: - df_chunks = [result_df] - - results = [] - pool = multiprocessing.Pool(process_num) - - def err_call(args): - logger.error('multiprocess compare failed! Reason: {}'.format(args)) - try: - pool.terminate() - except OSError as e: - logger.error("pool terminate failed") - - for process_idx, df_chunk in enumerate(df_chunks): - idx = df_chunk_size * process_idx - result = pool.apply_async(func, - args=(idx, op_name_mapping_dict, df_chunk, lock, input_parma), - error_callback=err_call) - results.append(result) - final_results = [r.get() for r in results] - pool.close() - pool.join() - return pd.concat(final_results, ignore_index=True) - - -def compare_ops(idx, dump_path_dict, result_df, lock, input_parma): - cos_result = [] - max_err_result = [] - max_relative_err_result = [] - err_mess = [] - one_thousand_err_ratio_result = [] - five_thousand_err_ratio_result = [] - is_print_compare_log = input_parma.get("is_print_compare_log") - for i in range(len(result_df)): - op_name = result_df.iloc[i, 0] - if is_print_compare_log: - logger.info("start compare: {}".format(op_name)) - cos_sim, max_abs_err, max_relative_err, one_thousand_err_ratio, five_thousand_err_ratio, err_msg = compare_by_op( - op_name, dump_path_dict, input_parma) - if is_print_compare_log: - logger.info( - "[{}] Compare result: cosine {}, max_abs_err {}, max_relative_err {}, {}, one_thousand_err_ratio {}, " - "five_thousand_err_ratio {}".format(op_name, cos_sim, max_abs_err, max_relative_err, err_msg, - one_thousand_err_ratio, five_thousand_err_ratio)) - cos_result.append(cos_sim) - max_err_result.append(max_abs_err) - max_relative_err_result.append(max_relative_err) - err_mess.append(err_msg) - one_thousand_err_ratio_result.append(one_thousand_err_ratio) - five_thousand_err_ratio_result.append(five_thousand_err_ratio) - - cr = ComparisonResult( - cos_result=cos_result, - max_err_result=max_err_result, - max_relative_err_result=max_relative_err_result, - err_msgs=err_mess, - one_thousand_err_ratio_result=one_thousand_err_ratio_result, - five_thousand_err_ratio_result=five_thousand_err_ratio_result - ) - - return _save_cmp_result(idx, cr, result_df, lock) - - -@dataclass -class ComparisonResult: - cos_result: list - max_err_result: list - max_relative_err_result: list - err_msgs: list - one_thousand_err_ratio_result: list - five_thousand_err_ratio_result: list - - -def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): - """ - Save comparison results into the result DataFrame with thread safety. - Args: - offset: offset for index - result: data struct of ComparisonResult - result_df: result of DataFrame - lock: thread lock - - Returns: - comparison results in DataFrame - """ - - lock.acquire() - try: - for i, _ in enumerate(result.cos_result): - process_index = i + offset - result_df.loc[process_index, CompareConst.COSINE] = result.cos_result[i] - result_df.loc[process_index, CompareConst.MAX_ABS_ERR] = result.max_err_result[i] - result_df.loc[process_index, CompareConst.MAX_RELATIVE_ERR] = result.max_relative_err_result[i] - result_df.loc[process_index, CompareConst.ERROR_MESSAGE] = result.err_msgs[i] - result_df.loc[process_index, CompareConst.ACCURACY] = check_accuracy(result.cos_result[i], result.max_err_result[i]) - result_df.loc[process_index, CompareConst.ONE_THOUSANDTH_ERR_RATIO] = result.one_thousand_err_ratio_result[i] - result_df.loc[process_index, CompareConst.FIVE_THOUSANDTHS_ERR_RATIO] = result.five_thousand_err_ratio_result[i] - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - except IndexError as e: - logger.error('result dataframe elements can not be access.') - raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - finally: - lock.release() - - -def check_accuracy(cos, max_abs_err): - if cos == CompareConst.SHAPE_UNMATCH: - return CompareConst.ACCURACY_CHECK_UNMATCH - if cos == CompareConst.NONE or max_abs_err == CompareConst.NONE: - return CompareConst.NONE - if cos == "N/A" or max_abs_err == "N/A": - return CompareConst.ACCURACY_CHECK_NO - try: - cos, max_abs_err = float(cos), float(max_abs_err) - except ValueError: - logger.warning("Cosine or MaxAbsErr can not get float value.") - return CompareConst.NONE - if cos < CompareConst.COS_THRESHOLD and max_abs_err > CompareConst.MAX_ABS_ERR_THRESHOLD: - return CompareConst.ACCURACY_CHECK_NO - if cos < CompareConst.COS_MAX_THRESHOLD or max_abs_err > CompareConst.MAX_ABS_ERR_MAX_THRESHOLD: - return CompareConst.ACCURACY_CHECK_NO - return CompareConst.ACCURACY_CHECK_YES - - -def read_npy_data(dir_path, file_name): - data_path = os.path.join(dir_path, file_name) - path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, - FileCheckConst.PT_SUFFIX, False) - data_path = path_checker.common_check() - data_value = torch.load(data_path, map_location=torch.device('cpu')).detach() # detach for less memory - if data_value.dtype == torch.bfloat16: - data_value = data_value.to(torch.float32) - data_value = data_value.numpy() - return data_value - - -def compare_by_op(op_name, op_name_mapping_dict, input_parma): - npu_bench_name_list = op_name_mapping_dict[op_name] - data_name = npu_bench_name_list[1] - error_file, relative_err, error_flag = None, None, False - if data_name == '-1' or data_name == -1: # 没有真实数据路径 - n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE - error_flag = True - else: - try: - n_value = read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) - b_value = read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) - except IOError as error: - error_file = error.filename - n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE - error_flag = True - except FileCheckException: - error_file = data_name - n_value, b_value = CompareConst.READ_NONE, CompareConst.READ_NONE - error_flag = True - - n_value, b_value, error_flag = get_error_type(n_value, b_value, error_flag) - if not error_flag: - relative_err = get_relative_err(n_value, b_value) - n_value, b_value = reshape_value(n_value, b_value) - - err_msg = get_error_message(n_value, b_value, op_name, error_flag, error_file=error_file) - result_list, err_msg = compare_ops_apply(n_value, b_value, error_flag, err_msg, relative_err=relative_err) - - if npu_bench_name_list[0] != npu_bench_name_list[1]: - err_msg += " Fuzzy matching data, the comparison accuracy may be affected." - result_list.append(err_msg) - return result_list - - -def handle_inf_nan(n_value, b_value): - n_inf = np.isinf(n_value) - b_inf = np.isinf(b_value) - n_nan = np.isnan(n_value) - b_nan = np.isnan(b_value) - - # merge boolean expressions - any_inf = np.any(n_inf) or np.any(b_inf) - any_nan = np.any(n_nan) or np.any(b_nan) - if any_inf or any_nan: - if np.array_equal(n_inf, b_inf) and np.array_equal(n_nan, b_nan): - n_value[n_inf] = 0 - b_value[b_inf] = 0 - n_value[n_nan] = 0 - b_value[b_nan] = 0 - else: - return CompareConst.NAN, CompareConst.NAN - return n_value, b_value - - -def find_error_rows(result, last_len, n_num_input, highlight_dict, summary_compare=False, md5_compare=False): - """找到单个API中需要高亮的行""" - if md5_compare: - return - npu_max_index = get_header_index('NPU max', summary_compare) - bench_max_index = get_header_index('Bench max', summary_compare) - max_diff_index = get_header_index('Max diff' if summary_compare else 'MaxAbsErr', summary_compare) - - red_lines, yellow_lines = [], [] - LineInfo = namedtuple('LineInfo', ['line_data', 'num_pointer']) - ApiInfo = namedtuple('ApiInfo', ['api_input', 'api_output', 'num_pointer']) - ColorColumns = namedtuple('ColorColumns', ['red', 'yellow']) - color_columns = ColorColumns(red=red_lines, yellow=yellow_lines) - - # 对单行API的输入或输出进行误差判断 - for i, line in enumerate(result): - num = last_len + i - line_info = LineInfo(line_data=line, num_pointer=num) - for rule in HighlightRules.basic_rules.values(): - rule.apply(line_info, color_columns, summary_compare) - - # 对API的输出与输入比较，进行误差判断 - for n, api_out in enumerate(result[n_num_input:len(result)]): - num = last_len + n_num_input + n - if num in red_lines: - continue - if not isinstance(api_out[npu_max_index], (float, int)) \ - or not isinstance(api_out[bench_max_index], (float, int)) \ - or not isinstance(api_out[max_diff_index], (float, int)): - continue - for _, api_in in enumerate(result[0:n_num_input]): - if not isinstance(api_in[npu_max_index], (float, int)) \ - or not isinstance(api_in[bench_max_index], (float, int)) \ - or not isinstance(api_in[max_diff_index], (float, int)): - continue - - api_info = ApiInfo(api_input=api_in, api_output=api_out, num_pointer=num) - if summary_compare: - for rule in HighlightRules.summary_compare_rules.values(): - rule.apply(api_info, color_columns, summary_compare) - else: - for rule in HighlightRules.compare_rules.values(): - rule.apply(api_info, color_columns, summary_compare) - - highlight_dict.get('red_rows', []).extend(list(set(red_lines))) - highlight_dict.get('yellow_rows', []).extend(list(set(yellow_lines) - set(red_lines))) - - -def get_name_and_state(name): - """Get api/module name and state""" - if "input" in name: - api_name = name.split("input")[0] - state = "input" - else: - api_name = name.split("output")[0] - state = "output" - return api_name, state - - -def find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare): - """将dataframe根据API分组，并找到有误差的算子用于高亮""" - result = result_df.values - start, input_num, output_num, end = 0, 0, 0, len(result_df) - last_api_name, last_state = None, None - num, last_len = 0, 0 - for res_i in result: - api_name, state = get_name_and_state(res_i[0]) - if last_api_name: - if api_name == last_api_name: - if state == last_state: - num += 1 - else: - input_num = num - num, last_state = 1, state - else: - output_num = num - find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, - summary_compare, md5_compare) - num, last_api_name, last_state = 1, api_name, state - start += input_num + output_num - input_num, output_num = 1, 0 - else: - num, last_api_name, last_state = 1, api_name, state - if state: - if state == "input": - input_num = num - else: - output_num = num - find_error_rows(result[start:start + input_num + output_num], start, input_num, highlight_dict, summary_compare, md5_compare) - - -def highlight_rows_xlsx(result_df, highlight_dict, file_path): - """Write and highlight results in Excel""" - logger.info('Compare result is %s' % file_path) - - wb = openpyxl.Workbook() - ws = wb.active - - # write header - for j, col_name in enumerate(result_df.columns, start=1): - ws.cell(row=1, column=j, value=col_name) - - for i, row in enumerate(result_df.iterrows(), start=2): - for j, value in enumerate(row[1], start=1): - if not isinstance(value, (float, int)): - value = f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else str(value) - ws.cell(row=i, column=j, value=f'{str(value)}\t' if str(value) in ('inf', '-inf', 'nan') else value) - - if (i - 2) in highlight_dict['red_rows']: - ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.RED, - end_color=CompareConst.RED, fill_type="solid") - elif (i - 2) in highlight_dict['yellow_rows']: - ws.cell(row=i, column=j).fill = PatternFill(start_color=CompareConst.YELLOW, - end_color=CompareConst.YELLOW, fill_type="solid") - try: - wb.save(file_path) - except Exception as e: - logger.error('Save result file failed') - raise CompareException(CompareException.WRITE_FILE_ERROR) from e - change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - - -def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): - try: - summary_compare, md5_compare = task_dumppath_get(input_param) - check_configuration_param(stack_mode, auto_analyze, fuzzy_match) - create_directory(output_path) - check_compare_param(input_param, output_path, summary_compare, md5_compare) - except (CompareException, FileCheckException) as error: - logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) - compare_core(input_param, output_path, stack_mode=stack_mode, - auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) - - -def compare_core(input_parma, output_path, **kwargs): - """ - Compares data from multiple JSON files and generates a comparison report. - - Args: - input_parma (dict): A dictionary containing paths to JSON files ("npu_path", "bench_path", - "stack_path"). - output_path (str): The path where the output Excel report will be saved. - **kwargs: Additional keyword arguments including: - - stack_mode (bool, optional): Enables stack mode comparison. Defaults to False. - - auto_analyze (bool, optional): If True, triggers automatic analysis after comparison. Defaults to True. - - suffix (str, optional): Suffix to append to the output file name. Defaults to ''. - - fuzzy_match (bool, optional): Enables fuzzy matching during comparison. Defaults to False. - - summary_compare (bool, optional): Enables summary comparison mode. Defaults to False. - - md5_compare (bool, optional): Enables MD5 comparison. Defaults to False. - - Returns: - """ - # get kwargs or set default value - stack_mode = kwargs.get('stack_mode', False) - auto_analyze = kwargs.get('auto_analyze', True) - suffix = kwargs.get('suffix', '') - fuzzy_match = kwargs.get('fuzzy_match', False) - summary_compare = kwargs.get('summary_compare', False) - md5_compare = kwargs.get('md5_compare', False) - - logger.info("Please check whether the input data belongs to you. If not, there may be security risks.") - file_name = add_time_with_xlsx("compare_result" + suffix) - file_path = os.path.join(os.path.realpath(output_path), file_name) - check_file_not_exists(file_path) - highlight_dict = {'red_rows': [], 'yellow_rows': []} - - with FileOpen(input_parma.get("npu_path"), "r") as npu_json, \ - FileOpen(input_parma.get("bench_path"), "r") as bench_json, \ - FileOpen(input_parma.get("stack_path"), "r") as stack_json: - result_df = compare_process([npu_json, bench_json, stack_json], stack_mode, fuzzy_match, - summary_compare, md5_compare) - - if not md5_compare and not summary_compare: - result_df = _do_multi_process(input_parma, result_df) - find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare) - highlight_rows_xlsx(result_df, highlight_dict, file_path) - if auto_analyze: - advisor = Advisor(result_df, output_path) - advisor.analysis() - - -def parse(pkl_file, module_name_prefix): - if not isinstance(module_name_prefix, str): - logger.error("The parameter:module_name_prefix is not a string.") - raise CompareException(CompareException.INVALID_PARAM_ERROR) - with FileOpen(pkl_file, "r") as f: - done = False - title_printed = False - while not done: - pkl_line = f.readline() - if pkl_line == '\n': - continue - if len(pkl_line) == 0: - done = True - break - - msg = json.loads(pkl_line) - info_prefix = msg[0] - if not info_prefix.startswith(module_name_prefix): - continue - - if info_prefix.find("stack_info") != -1: - logger.info("\nTrace back({}):".format(msg[0])) - for item in reversed(msg[1]): - logger.info(" File \"{}\", line {}, in {}".format(item[0], item[1], item[2])) - logger.info(" {}".format(item[3])) - continue - if len(msg) > 5: - summary_info = " [{}][dtype: {}][shape: {}][max: {}][min: {}][mean: {}]" \ - .format(msg[0], msg[3], msg[4], msg[5][0], msg[5][1], msg[5][2]) - if not title_printed: - logger.info("\nStatistic Info:") - title_printed = True - logger.info(summary_info) - - -def op_item_parse(item, op_name, index, item_list=None, top_bool=True): - if item_list is None: - item_list = [] - if item is None or (isinstance(item, dict) and not item): - if not top_bool: - tmp = {'full_op_name': op_name + '.' + str(index), 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, - 'dtype': None, 'shape': None, 'md5': None, 'data_name': '-1'} - else: - tmp = {'full_op_name': op_name + '.0', 'Max': None, 'Min': None, 'Mean': None, 'Norm': None, 'dtype': None, - 'shape': None, 'md5': None, 'data_name': '-1'} - item_list.append(tmp) - return item_list - if index is None: - if isinstance(item, dict): - full_op_name = op_name + '.0' - else: - full_op_name = op_name - else: - full_op_name = op_name + Const.SEP + str(index) - if isinstance(item, dict): - if 'type' not in item: - for kwarg in item: - kwarg_parsed_list = op_item_parse(item[kwarg], op_name + Const.SEP + kwarg, None) - item_list += kwarg_parsed_list - kwarg_parsed_list.clear() - elif 'dtype' in item: - parsed_item = item - parsed_item['full_op_name'] = full_op_name - item_list.append(parsed_item) - elif 'type' in item: - parsed_item = {} - if item['type'] == 'torch.Size': - parsed_item['full_op_name'] = full_op_name - parsed_item['dtype'] = 'torch.Size' - parsed_item['shape'] = str(item['value']) - parsed_item['md5'] = None - parsed_item['Max'] = None - parsed_item['Min'] = None - parsed_item['Mean'] = None - parsed_item['Norm'] = None - parsed_item['data_name'] = '-1' - item_list.append(parsed_item) - elif item['type'] == 'slice': - parsed_item['full_op_name'] = full_op_name - parsed_item['dtype'] = 'slice' - parsed_item['shape'] = str(np.shape(np.array(item['value']))) - parsed_item['md5'] = None - parsed_item['Max'] = None - parsed_item['Min'] = None - parsed_item['Mean'] = None - parsed_item['Norm'] = None - parsed_item['data_name'] = '-1' - item_list.append(parsed_item) - else: - parsed_item['full_op_name'] = full_op_name - parsed_item['dtype'] = str(type(item['value'])) - parsed_item['shape'] = '[]' - parsed_item['md5'] = None - parsed_item['Max'] = item['value'] - parsed_item['Min'] = item['value'] - parsed_item['Mean'] = item['value'] - parsed_item['Norm'] = item['value'] - parsed_item['data_name'] = '-1' - item_list.append(parsed_item) - else: - resolve_api_special_parameters(item, full_op_name, item_list) - else: - for j, item_spec in enumerate(item): - op_item_parse(item_spec, full_op_name, j, item_list=item_list, top_bool=False) - return item_list - - -def resolve_api_special_parameters(data_dict, full_op_name, item_list): - """ - Function Description: - 解析下面格式的数据, 是api参数的一种特殊格式 - { - "last_hidden_state": { - "type": "torch.Tensor", - "dtype": "torch.bfloat16", - ... - }, - "loss": { - "type": "torch.Tensor", - "dtype": "torch.float32", - ... - } - } - Parameter: - data_dict: 字典格式的数据 - full_op_name: 参数的全名字符串 - item_list: 参数信息集合 - """ - for key, value in data_dict.items(): - if isinstance(value, dict): - parsed_item = value - parts = full_op_name.split(".") - parts.insert(-1, key) - full_op_name_new = ".".join(parts) - parsed_item['full_op_name'] = full_op_name_new - item_list.append(parsed_item) - - -def read_op(op_data, op_name): - op_parsed_list = [] - if 'forward' in op_name: - if 'input_args' in op_data: - input_item = op_data['input_args'] - input_parsed_list = op_item_parse(input_item, op_name + '_input', None) - op_parsed_list = input_parsed_list.copy() - input_parsed_list.clear() - if 'input_kwargs' in op_data: - kwargs_item = op_data['input_kwargs'] - if isinstance(kwargs_item, dict) and "type" in kwargs_item or isinstance(kwargs_item, list): - kwarg_parsed_list = op_item_parse(kwargs_item, op_name + '_input', None) - op_parsed_list += kwarg_parsed_list - kwarg_parsed_list.clear() - elif kwargs_item: - for kwarg in kwargs_item: - kwarg_parsed_list = op_item_parse(kwargs_item[kwarg], op_name + '_input.' + kwarg, None) - op_parsed_list += kwarg_parsed_list - kwarg_parsed_list.clear() - if 'output' in op_data: - output_item = op_data['output'] - output_parsed_list = op_item_parse(output_item, op_name + '_output', None) - op_parsed_list += output_parsed_list - output_parsed_list.clear() - if 'backward' in op_name: - if 'input' in op_data: - input_item = op_data['input'] - input_parsed_list = op_item_parse(input_item, op_name + '_input', None) - op_parsed_list = input_parsed_list.copy() - input_parsed_list.clear() - if 'output' in op_data: - output_item = op_data['output'] - output_parsed_list = op_item_parse(output_item, op_name + '_output', None) - op_parsed_list += output_parsed_list - output_parsed_list.clear() - return op_parsed_list - - -def compare_process(file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): - npu_json_handle, bench_json_handle, stack_json_handle = file_handles - npu_json_data = json.load(npu_json_handle) - bench_json_data = json.load(bench_json_handle) - stack_json_data = json.load(stack_json_handle) - - if fuzzy_match: - logger.warning("This task uses fuzzy matching, which may affect the accuracy of the comparison.") - - npu_ops_queue = [] - bench_ops_queue = [] - result = [] - - ops_npu_iter = iter(npu_json_data['data']) - ops_bench_iter = iter(bench_json_data['data']) - read_err_npu = True - read_err_bench = True - last_npu_ops_len = 0 - last_bench_ops_len = 0 - - while True: - if not read_err_npu and not read_err_bench: - break - try: - last_npu_ops_len = len(npu_ops_queue) - op_name_npu = next(ops_npu_iter) - read_err_npu = True - - npu_op_data = npu_json_data['data'][op_name_npu] - npu_op_parsed_list = read_op(npu_op_data, op_name_npu) - if op_name_npu in stack_json_data: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': stack_json_data[op_name_npu]}) - else: - npu_op_parsed_list.append({'full_op_name': op_name_npu, 'full_info': None}) - - npu_merge_list = merge_tensor(npu_op_parsed_list, summary_compare, md5_compare) - if npu_merge_list: - npu_ops_queue.append(npu_merge_list) - except StopIteration: - read_err_npu = False - try: - last_bench_ops_len = len(bench_ops_queue) - op_name_bench = next(ops_bench_iter) - - bench_op_data = bench_json_data['data'][op_name_bench] - bench_op_parsed_list = read_op(bench_op_data, op_name_bench) - if op_name_bench in stack_json_data: - bench_op_parsed_list.append( - {'full_op_name': op_name_bench, 'full_info': stack_json_data[op_name_bench]}) - else: - bench_op_parsed_list.append({'full_op_name': op_name_bench, 'full_info': None}) - - bench_merge_list = merge_tensor(bench_op_parsed_list, summary_compare, md5_compare) - if bench_merge_list: - bench_ops_queue.append(bench_merge_list) - except StopIteration: - read_err_bench = False - - # merge all boolean expressions - both_empty = not npu_ops_queue and not bench_ops_queue - no_change = (len(npu_ops_queue) == last_npu_ops_len) and (len(bench_ops_queue) == last_bench_ops_len) - if both_empty or no_change: - continue - - n_match_point, b_match_point = match_op(npu_ops_queue, bench_ops_queue, fuzzy_match) - if n_match_point == -1 and b_match_point == -1: - continue - n_match_data = npu_ops_queue[n_match_point] - b_match_data = bench_ops_queue[b_match_point] - un_match_data = npu_ops_queue[0: n_match_point] - for npu_data in un_match_data: - get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) - get_accuracy(result, n_match_data, b_match_data, summary_compare, md5_compare) - del npu_ops_queue[0: n_match_point + 1] - del bench_ops_queue[0: b_match_point + 1] - if npu_ops_queue: - for npu_data in npu_ops_queue: - get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) - - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - - result_df = pd.DataFrame(result, columns=header) - return result_df - - -def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): - index_out = 0 - npu_stack_info = n_dict.get("stack_info", None) - bench_name, bench_type, bench_shape = CompareConst.NAN, CompareConst.NAN, CompareConst.NAN - err_msg = CompareConst.NO_BENCH - accuracy_check_res = CompareConst.NAN - for index, n_name in enumerate(n_dict["op_name"]): - if n_name.find("input") != -1: - n_struct = n_dict["input_struct"][index] - else: - n_struct = n_dict["output_struct"][index_out] - index_out += 1 - - result_item = [n_name, bench_name, n_struct[0], bench_type, n_struct[1], bench_shape] - if md5_compare: - result_item.extend([CompareConst.NAN] * 3) - if npu_stack_info and index == 0: - result_item.extend(npu_stack_info) - result.append(result_item) - continue - if summary_compare: - result_item.extend([CompareConst.NAN] * 8) - else: - result_item.extend([CompareConst.NAN] * 5) - summary_data = n_dict.get("summary")[index] - result_item.extend(summary_data) - summary_data = [CompareConst.NAN] * 4 - result_item.extend(summary_data) - result_item.append(accuracy_check_res) - result_item.append(err_msg) - if npu_stack_info and index == 0: - result_item.extend(npu_stack_info) - if not md5_compare and not summary_compare and result_item[1] == CompareConst.NAN: - if index == 0: - result_item.extend(["-1"]) - else: - result_item.extend([CompareConst.NONE, "-1"]) - result.append(result_item) - - -def _compare_parser(parser): - parser.add_argument("-i", "--input_path", dest="input_path", type=str, - help=" The compare input path, a dict json.", required=True) - parser.add_argument("-o", "--output_path", dest="output_path", type=str, - help=" The compare task result out path.", required=True) - parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", - help=" Whether to save stack info.", required=False) - parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", - help=" Whether to give advisor.", required=False) - parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", - help=" Whether to perform a fuzzy match on the api name.", required=False) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py index 9443e5ef06..155609f58c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py @@ -2,8 +2,8 @@ import json from msprobe.core.common.file_check import FileOpen, check_file_type from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException -from msprobe.pytorch.common.log import logger -from msprobe.pytorch.compare.acc_compare import compare +from msprobe.core.common.log import logger +from msprobe.pytorch.compare.pt_compare import pt_compare from msprobe.pytorch.compare.distributed_compare import compare_distributed @@ -12,8 +12,9 @@ def compare_cli(args): input_param = json.load(file) npu_path = input_param.get("npu_path", None) bench_path = input_param.get("bench_path", None) + if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: - compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, + pt_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index 11e5193ece..aeea949457 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -57,6 +57,7 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): def extract_json(dirname, stack_json=False): json_path = '' for fname in os.listdir(dirname): + if fname=="construct.json": continue full_path = os.path.join(dirname, fname) if full_path.endswith('.json'): json_path = full_path diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 8207c7d647..b32e6df609 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -9,7 +9,7 @@ from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory -from msprobe.core.common.const import Const, CompareConst, FileCheckConst +from msprobe.core.common.const import CompareConst, FileCheckConst from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process @@ -232,21 +232,19 @@ class PTComparator (Comparator): advisor.analysis() -def pt_compare(args): - with FileOpen(args.input_path, "r") as file: - input_param = json.load(file) +def pt_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_param) - check_configuration_param(args.stack_mode, args.auto_analyze, args.fuzzy_match) - create_directory(args.output_path) - check_compare_param(input_param, args.output_path, summary_compare, md5_compare) + check_configuration_param(stack_mode, auto_analyze, fuzzy_match) + create_directory(output_path) + check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) - ptComparator= PTComparator() - ptComparator.compare_core(input_param, args.output_path, stack_mode=args.stack_mode, - auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) + ptComparator=PTComparator() + ptComparator.compare_core(input_param, output_path, stack_mode=stack_mode, + auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, + md5_compare=md5_compare) def _compare_parser(parser): -- Gitee From fdaacdbc710ba55867b426eec7512c2055016040 Mon Sep 17 00:00:00 2001 From: gitee Date: Tue, 6 Aug 2024 19:50:20 +0800 Subject: [PATCH 063/160] add distributed async --- .../msprobe/pytorch/hook_module/wrap_distributed.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/hook_module/wrap_distributed.py b/debug/accuracy_tools/msprobe/pytorch/hook_module/wrap_distributed.py index 6cf425441c..3ca1db0f50 100644 --- a/debug/accuracy_tools/msprobe/pytorch/hook_module/wrap_distributed.py +++ b/debug/accuracy_tools/msprobe/pytorch/hook_module/wrap_distributed.py @@ -57,7 +57,12 @@ class DistributedOPTemplate(HOOKModule): @torch_device_guard def forward(self, *args, **kwargs): - return distributed_func.get(self.op_name_)(*args, **kwargs) + if kwargs.get("async_op") or self.op_name_ in ["isend", "irecv"]: + handle = distributed_func.get(self.op_name_)(*args, **kwargs) + handle.wait() + return handle + else: + return distributed_func.get(self.op_name_)(*args, **kwargs) def wrap_distributed_op(op_name, hook): -- Gitee From e3e0bba6556479ccc51eb7dac83c72b7ecb9a81a Mon Sep 17 00:00:00 2001 From: gitee Date: Tue, 6 Aug 2024 19:50:32 +0800 Subject: [PATCH 064/160] add distributed --- .../msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 6418e89221..559dfdc0f1 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -282,7 +282,7 @@ def run_torch_api(api_full_name, real_data_path, backward_content, api_info_dict if need_backward: if need_to_backward(grad_index, out): - backward_args = backward_content[api_full_name].get("grad_input") + backward_args = backward_content[api_full_name].get("input") grad = gen_args(backward_args, api_name, real_data_path=real_data_path)[0] bench_grad, _ = generate_cpu_params(grad, {}, False, api_name) bench_grad_out = run_backward(cpu_args, bench_grad, grad_index, out) -- Gitee From 4c23304345096a98c4cb3fc52c310a53a25b4e1f Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Tue, 6 Aug 2024 19:57:33 +0800 Subject: [PATCH 065/160] mindspore free benchmark V1.5 --- .../msprobe/mindspore/free_benchmark/handler/base_handler.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py index 85189a2065..375ed057ac 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py @@ -36,11 +36,10 @@ class BaseHandler(ABC): @staticmethod def get_endless_norm(first_tensor, second_tensor, abs_tol): - try: + if first_tensor.dtype != ms.bfloat16 and second_tensor.dtype != ms.bfloat16: ratio_tensor1 = ops.where(ops.abs(second_tensor) > abs_tol, ops.div(first_tensor, second_tensor), 1) ratio_tensor2 = ops.where(ops.abs(first_tensor) > abs_tol, ops.div(second_tensor, first_tensor), 1) - except Exception as e: - logger.error(str(e)) + else: ratio_tensor1 = ops.where(ops.abs(second_tensor).to(ms.float32) > abs_tol, ops.div(first_tensor.to(ms.float32), second_tensor.to(ms.float32)), 1) ratio_tensor2 = ops.where(ops.abs(first_tensor).to(ms.float32) > abs_tol, -- Gitee From 812979fde516f779c3b68107ecc0296622abdbf9 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Tue, 6 Aug 2024 20:05:01 +0800 Subject: [PATCH 066/160] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E5=AF=BC=E5=85=A5?= =?UTF-8?q?=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 46d465714e..b417fa88d8 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -2,7 +2,7 @@ import functools import os from pathlib import Path -import service +import torch from msprobe.core.common.const import Const, FileCheckConst from msprobe.core.common.exceptions import DistributedNotInitializedError, MsprobeException from msprobe.core.common.file_check import FileChecker, check_path_before_create -- Gitee From 833896e5392e4ab6484d43c744d2521e42daf86a Mon Sep 17 00:00:00 2001 From: pxp1 <958876660@qq.com> Date: Tue, 6 Aug 2024 20:47:25 +0800 Subject: [PATCH 067/160] =?UTF-8?q?grad=20probe=E5=8F=AA=E6=94=AF=E6=8C=81?= =?UTF-8?q?torch2.0=E4=B9=8B=E5=90=8E=E7=9A=84=E7=89=88=E6=9C=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/pytorch/grad_probe/grad_monitor.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py index edd28635da..5f9ba8a46d 100644 --- a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py +++ b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py @@ -2,7 +2,8 @@ import os from collections import defaultdict import torch -from torch.optim.optimizer import register_optimizer_step_pre_hook +if int(torch.__version__.split('.')[0]) >= 2: + from torch.optim.optimizer import register_optimizer_step_pre_hook from msprobe.pytorch.grad_probe.grad_stat_csv import GradStatCsv from msprobe.core.grad_probe.utils import check_numeral_list_ascend, data_in_list_target from msprobe.core.grad_probe.constant import GradConst @@ -102,5 +103,5 @@ class GradientMonitor: header_result = GradStatCsv.generate_csv_header(self._level_adp, self._bounds) output_lines.insert(0, header_result) write_csv(output_lines, output_path) - - register_optimizer_step_pre_hook(optimizer_pre_step_hook) + if int(torch.__version__.split('.')[0]) >= 2: + register_optimizer_step_pre_hook(optimizer_pre_step_hook) -- Gitee From 90d5caeb1b6ef202c9e251071b4836475b2ccb3c Mon Sep 17 00:00:00 2001 From: wuyulong11 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z^Pc8Q-_0D$(dZk{_QdhEV2CW#{9`&USQB)>D(1d$=nH*kD|l^A*p&0S=ow@9%f=DN z|9i3duHK(+sHnPXb?BibUNGzBI@#x_?WkfWdG)%q>arw$e0((P!8ic;5xIhtlv9f< z4rp%a0(^X4hNAIm#0A}+i7BnS09#1ncI^oQzN4CS=1p#dtE`LQa0nVjclu!(8Gs_W zvaI@ye#se@W=cqwsbh~M?%nhrV?P{6tqVr`AuGaa4WiX6tl=A8C?cU+THj9?<-zsV zF}4C>BxBGHkis-!HbGS#jDyv%mJ6XNv$Oh6kpJua}CvhS~p$9Z=-$LR)@XHy@YyCtu)_fzB zKIy*UE#trGkJqmHm=Ue*`V{p__PfF3-k(%ZeCbg1QfF~H%~li{PgJ1OC;m-`Dam@J z?LooLweCh*DF}w+iAR@NN3gG-K-M=ux`bd9(X`OFHZyWV%y;AM-&47+kM03F5eB#J zhSLffcIP|~{{(EpO#>RY?fHVze-_*xJn8Q|70W7_Y1p3wsqlp|V*pv3!prHUH)Rjz z>g2ek=%ZwZbe_?SEUmPh&7f1;ntf3==b=Sme&n2i>p(k0XUU0hIB$%GMvalKW;i=* zB%Rm!AvaV1fzBDxJjaB@uz?z4>_`{=0q#JZ_2!2}kuLfiv4efA4|s2!_vI$gWuxSF zRe14Ux1$kYme zf+Bdg{}gB_viG)~6Wk_zLiE4Bc%Y#EQ9S)q{tc*M0QZVe6aDvvp9U1vyF}wZ<==o< zGBBJd51{xHSVWWqF#ZXwM1TX16{QC#v4LAeJpr3s;4U6qu(TLG0Gs>0O9lQZ_VIt$ Pden*W!(H?L!}vb{h$=q7 -- Gitee From 66feb734d34737b9a3445214e62c007078d94ee8 Mon Sep 17 00:00:00 2001 From: zyy Date: Wed, 7 Aug 2024 09:59:19 +0800 Subject: [PATCH 069/160] 87 --- .../compare_backend/profiling_parser/npu_profiling_parser.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 1ae5b1fe6d..58f44f7f89 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -131,7 +131,7 @@ class NPUProfilingParser(BaseProfilingParser): print("[ERROR] Failed to read communication.json.") return if not communication_json: - print("[WARNING] The JSON file is empty.") + print("[WARNING] The communication.json file is empty.") return for _, group_dict in communication_json.items(): step_dict = group_dict.get("collective", {}) -- Gitee From a9df1860bc1552aea00940c53e836501665e927e Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Wed, 7 Aug 2024 10:24:39 +0800 Subject: [PATCH 070/160] mindspore free benchmark V1.6 --- .../msprobe/core/common/const.py | 87 ------------------- .../msprobe/mindspore/common/const.py | 85 ++++++++++++++++++ .../mindspore/debugger/debugger_config.py | 16 ++-- .../mindspore/debugger/precision_debugger.py | 3 +- .../free_benchmark/api_pynative_self_check.py | 15 ++-- .../mindspore/free_benchmark/common/config.py | 10 +-- .../mindspore/free_benchmark/common/utils.py | 8 +- .../free_benchmark/decorator/dec_forward.py | 8 +- .../free_benchmark/handler/base_handler.py | 12 +-- .../free_benchmark/handler/handler_factory.py | 6 +- .../free_benchmark/perturbation/add_noise.py | 4 +- .../free_benchmark/perturbation/bit_noise.py | 14 +-- .../perturbation/improve_precision.py | 4 +- .../perturbation/perturbation_factory.py | 10 +-- .../free_benchmark/self_check_tool_factory.py | 26 +++--- .../msprobe/mindspore/ms_config.py | 13 +-- .../msprobe/mindspore/task_handler_factory.py | 3 +- .../mindspore_ut/test_task_handler_factory.py | 4 +- 18 files changed, 166 insertions(+), 162 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/mindspore/common/const.py diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index b4baf47338..3fbd0ab37b 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -2,10 +2,6 @@ import os import stat import numpy as np -try: - import mindspore as ms -except ImportError: - pass class Const: @@ -258,86 +254,3 @@ class OverflowConst: OVERFLOW_DEBUG_MODE_ENABLE = "OVERFLOW_DEBUG_MODE_ENABLE" OVERFLOW_ORIGINAL_MODE = 0 OVERFLOW_DEBUG_MODE = 1 - - -class MsConst: - CELL = "cell" - API = "api" - KERNEL = "kernel" - TOOL_LEVEL_DICT = { - "L0": CELL, - "L1": API, - "L2": KERNEL - } - PYNATIVE_MODE = "pynative" - GRAPH_GE_MODE = "graph_ge" - GRAPH_KBYK_MODE = "graph_kbyk" - - -class MsFreeBenchmarkConst: - DEFAULT_DEVICE = "npu" - DEFAULT_STAGE = "forward" - DEFAULT_DUMP_LEVEL = "L1" - DEFAULT_PERT_TYPE = "improve_precision" - DEFAULT_HANDLER_TYPE = "check" - FIX_HANDLER_MODE = "fix" - ADD_NOISE = "add_noise" - BIT_NOISE = "bit_noise" - NO_CHANGE = "no_change" - IMPROVE_PRECISION = "improve_precision" - CHECK = "check" - FIX = "fix" - DEVICE_LIST = ["npu"] - STAGE_LIST = ["forward"] - DUMP_LEVEL_LIST = ["L1"] - PERT_TYPE_LIST = [IMPROVE_PRECISION, ADD_NOISE, BIT_NOISE, NO_CHANGE] - HANDLER_TYPE_LIST = [CHECK, FIX] - COMMUNICATION_API_LIST = [ - "mindspore.communication.comm_func.all_gather_into_tensor", - "mindspore.communication.comm_func.gather_into_tensor", - "mindspore.communication.comm_func.all_reduce", - "mindspore.communication.comm_func.reduce", - "mindspore.communication.comm_func.reduce_scatter_tensor" - ] - NO_CHANGE_ERROR_THRESHOLD = 1.0 - SYMBOL_FLIPPING_RATIO = 8.0 - OPS_PREFIX = "mindspore.ops." - Tensor_PREFIX = "mindspore.Tensor." - MINT_PREFIX = "mindspore.mint." - MINT_NN_FUNC_PREFIX = "mindspore.mint.nn.functional." - COMM_PREFIX = "mindspore.communication.comm_func." - - API_PREFIX_DICT = { - "ops": OPS_PREFIX, - "Tensor": Tensor_PREFIX, - "mint": MINT_PREFIX, - "mint.nn.functional": MINT_NN_FUNC_PREFIX, - "communication": COMM_PREFIX - } - - PERT_VALUE_DICT = { - ms.bfloat16: 1e-4, - ms.float16: 1e-6, - ms.float32: 1e-8, - ms.float64: 1e-16 - } - - ERROR_THRESHOLD = { - ms.float16: 1.002, - ms.float32: 1.0002 - } - - PERT_BIT_DICT = { - ms.float16: np.int16, - ms.float32: np.int32, - ms.float64: np.int64 - } - - MS_NUMPY_DTYPE_DICT = { - ms.int16: np.int16, - ms.int32: np.int32, - ms.int64: np.int64, - ms.float16: np.float16, - ms.float32: np.float32, - ms.float64: np.float64 - } diff --git a/debug/accuracy_tools/msprobe/mindspore/common/const.py b/debug/accuracy_tools/msprobe/mindspore/common/const.py new file mode 100644 index 0000000000..08bb976493 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/common/const.py @@ -0,0 +1,85 @@ +import numpy as np +import mindspore as ms + + +class Const: + CELL = "cell" + API = "api" + KERNEL = "kernel" + TOOL_LEVEL_DICT = { + "L0": CELL, + "L1": API, + "L2": KERNEL + } + PYNATIVE_MODE = "pynative" + GRAPH_GE_MODE = "graph_ge" + GRAPH_KBYK_MODE = "graph_kbyk" + + +class FreeBenchmarkConst: + DEFAULT_DEVICE = "npu" + DEFAULT_STAGE = "forward" + DEFAULT_DUMP_LEVEL = "L1" + DEFAULT_PERT_TYPE = "improve_precision" + DEFAULT_HANDLER_TYPE = "check" + FIX_HANDLER_MODE = "fix" + ADD_NOISE = "add_noise" + BIT_NOISE = "bit_noise" + NO_CHANGE = "no_change" + IMPROVE_PRECISION = "improve_precision" + CHECK = "check" + FIX = "fix" + DEVICE_LIST = ["npu"] + STAGE_LIST = ["forward"] + DUMP_LEVEL_LIST = ["L1"] + PERT_TYPE_LIST = [IMPROVE_PRECISION, ADD_NOISE, BIT_NOISE, NO_CHANGE] + HANDLER_TYPE_LIST = [CHECK, FIX] + COMMUNICATION_API_LIST = [ + "mindspore.communication.comm_func.all_gather_into_tensor", + "mindspore.communication.comm_func.gather_into_tensor", + "mindspore.communication.comm_func.all_reduce", + "mindspore.communication.comm_func.reduce", + "mindspore.communication.comm_func.reduce_scatter_tensor" + ] + NO_CHANGE_ERROR_THRESHOLD = 1.0 + SYMBOL_FLIPPING_RATIO = 8.0 + OPS_PREFIX = "mindspore.ops." + Tensor_PREFIX = "mindspore.Tensor." + MINT_PREFIX = "mindspore.mint." + MINT_NN_FUNC_PREFIX = "mindspore.mint.nn.functional." + COMM_PREFIX = "mindspore.communication.comm_func." + + API_PREFIX_DICT = { + "ops": OPS_PREFIX, + "Tensor": Tensor_PREFIX, + "mint": MINT_PREFIX, + "mint.nn.functional": MINT_NN_FUNC_PREFIX, + "communication": COMM_PREFIX + } + + PERT_VALUE_DICT = { + ms.bfloat16: 1e-4, + ms.float16: 1e-6, + ms.float32: 1e-8, + ms.float64: 1e-16 + } + + ERROR_THRESHOLD = { + ms.float16: 1.002, + ms.float32: 1.0002 + } + + PERT_BIT_DICT = { + ms.float16: np.int16, + ms.float32: np.int32, + ms.float64: np.int64 + } + + MS_NUMPY_DTYPE_DICT = { + ms.int16: np.int16, + ms.int32: np.int32, + ms.int64: np.int64, + ms.float16: np.float16, + ms.float32: np.float32, + ms.float64: np.float64 + } diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py index b5c23ddf00..54f640703c 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py @@ -1,7 +1,9 @@ import os from pathlib import Path -from msprobe.core.common.const import Const, MsConst, MsFreeBenchmarkConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import Const as MsConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.core.common.file_check import FileChecker, FileCheckConst, check_path_before_create @@ -28,16 +30,16 @@ class DebuggerConfig: self._make_dump_path_if_not_exists() if self.task == Const.FREE_BENCHMARK: - self.pert_type = (MsFreeBenchmarkConst.DEFAULT_PERT_TYPE + self.pert_type = (FreeBenchmarkConst.DEFAULT_PERT_TYPE if not task_config.pert_mode else task_config.pert_mode) - self.handler_type = (MsFreeBenchmarkConst.DEFAULT_HANDLER_TYPE + self.handler_type = (FreeBenchmarkConst.DEFAULT_HANDLER_TYPE if not task_config.handler_type else task_config.handler_type) - if self.handler_type == MsFreeBenchmarkConst.FIX_HANDLER_MODE and \ - self.pert_type != MsFreeBenchmarkConst.DEFAULT_PERT_TYPE: + if self.handler_type == FreeBenchmarkConst.FIX_HANDLER_MODE and \ + self.pert_type != FreeBenchmarkConst.DEFAULT_PERT_TYPE: raise ValueError("pert_mode must be improve_precision or empty when handler_type is fix, " f"but got {self.pert_type}.") - self.dump_level = MsFreeBenchmarkConst.DEFAULT_DUMP_LEVEL - self.stage = MsFreeBenchmarkConst.DEFAULT_STAGE + self.dump_level = FreeBenchmarkConst.DEFAULT_DUMP_LEVEL + self.stage = FreeBenchmarkConst.DEFAULT_STAGE def check(self): if not self.dump_path: diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py index fb2b906ce9..6ef1966bc2 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py @@ -6,7 +6,8 @@ from msprobe.mindspore.service import Service from msprobe.mindspore.ms_config import parse_json_config from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.task_handler_factory import TaskHandlerFactory -from msprobe.core.common.const import Const, MsConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import Const as MsConst from msprobe.mindspore.runtime import Runtime diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py index 541ba14f4e..bcfa31520d 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py @@ -6,7 +6,8 @@ import yaml import mindspore as ms from mindspore.communication import comm_func -from msprobe.core.common.const import Const, MsFreeBenchmarkConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.free_benchmark.common.config import Config from msprobe.core.common.file_check import check_path_length, FileOpen from msprobe.mindspore.common.log import logger @@ -43,7 +44,7 @@ def get_supported_ops(): cur_path = os.path.dirname(os.path.realpath(__file__)) yaml_path = os.path.join(cur_path, "data", "support_wrap_ops.yaml") - for k, v in MsFreeBenchmarkConst.API_PREFIX_DICT.items(): + for k, v in FreeBenchmarkConst.API_PREFIX_DICT.items(): with FileOpen(yaml_path, 'r') as f: ops = yaml.safe_load(f).get(k) if ops: @@ -52,23 +53,23 @@ def get_supported_ops(): _all_functional_ops = [] ms_ops = dir(ms.ops) - ms_ops = [MsFreeBenchmarkConst.OPS_PREFIX + i for i in ms_ops] + ms_ops = [FreeBenchmarkConst.OPS_PREFIX + i for i in ms_ops] _all_functional_ops += ms_ops ms_tensor = dir(ms.Tensor) - ms_tensor = [MsFreeBenchmarkConst.Tensor_PREFIX + i for i in ms_tensor] + ms_tensor = [FreeBenchmarkConst.Tensor_PREFIX + i for i in ms_tensor] _all_functional_ops += ms_tensor ms_mint = dir(ms.mint) - ms_mint = [MsFreeBenchmarkConst.MINT_PREFIX + i for i in ms_mint] + ms_mint = [FreeBenchmarkConst.MINT_PREFIX + i for i in ms_mint] _all_functional_ops += ms_mint ms_mint_nn_func = dir(ms.mint.nn.functional) - ms_mint_nn_func = [MsFreeBenchmarkConst.MINT_NN_FUNC_PREFIX + i for i in ms_mint_nn_func] + ms_mint_nn_func = [FreeBenchmarkConst.MINT_NN_FUNC_PREFIX + i for i in ms_mint_nn_func] _all_functional_ops += ms_mint_nn_func ms_communication = dir(comm_func) - ms_communication = [MsFreeBenchmarkConst.COMM_PREFIX + i for i in ms_communication] + ms_communication = [FreeBenchmarkConst.COMM_PREFIX + i for i in ms_communication] _all_functional_ops += ms_communication return set(supported_ops) & set(_all_functional_ops) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py index 4a22e203d7..85f684d816 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py @@ -1,12 +1,12 @@ -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst class Config: is_enable: bool = False - handler_type = MsFreeBenchmarkConst.DEFAULT_HANDLER_TYPE - pert_type = MsFreeBenchmarkConst.DEFAULT_PERT_TYPE - stage = MsFreeBenchmarkConst.DEFAULT_STAGE - dump_level = MsFreeBenchmarkConst.DEFAULT_DUMP_LEVEL + handler_type = FreeBenchmarkConst.DEFAULT_HANDLER_TYPE + pert_type = FreeBenchmarkConst.DEFAULT_PERT_TYPE + stage = FreeBenchmarkConst.DEFAULT_STAGE + dump_level = FreeBenchmarkConst.DEFAULT_DUMP_LEVEL steps: list = [] ranks: list = [] dump_path: str = "" diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py index 3cc0f0789b..3bb062800b 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py @@ -6,7 +6,7 @@ import mindspore as ms from mindspore import Tensor from msprobe.mindspore.runtime import Runtime -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from .config import Config from .handler_params import HandlerParams @@ -25,9 +25,9 @@ class Tools: @staticmethod def get_default_error_threshold(dtype): - if Config.pert_type == MsFreeBenchmarkConst.NO_CHANGE: - return MsFreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD - return MsFreeBenchmarkConst.ERROR_THRESHOLD.get(dtype, MsFreeBenchmarkConst.ERROR_THRESHOLD.get(ms.float32)) + if Config.pert_type == FreeBenchmarkConst.NO_CHANGE: + return FreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return FreeBenchmarkConst.ERROR_THRESHOLD.get(dtype, FreeBenchmarkConst.ERROR_THRESHOLD.get(ms.float32)) @dataclass diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py index f745f711ca..78661d7fca 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py @@ -1,5 +1,5 @@ from msprobe.mindspore.free_benchmark.common.config import Config -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams from msprobe.mindspore.free_benchmark.handler.handler_factory import HandlerFactory from msprobe.mindspore.free_benchmark.perturbation.perturbation_factory import PerturbationFactory @@ -23,11 +23,11 @@ class ForwardSelfChecker: return params.original_result def get_compare_data(self, params: HandlerParams): - if self.api_name not in MsFreeBenchmarkConst.COMMUNICATION_API_LIST: + if self.api_name not in FreeBenchmarkConst.COMMUNICATION_API_LIST: return # 以下为通讯类api处理逻辑 params.fuzzed_result = params.fuzzed_value - if Config.pert_type == MsFreeBenchmarkConst.IMPROVE_PRECISION: + if Config.pert_type == FreeBenchmarkConst.IMPROVE_PRECISION: params.original_result = params.args else: params.original_result = params.args[params.index] @@ -37,6 +37,6 @@ class ForwardSelfChecker: self.get_compare_data(params) handler = HandlerFactory.create(self.api_name) result = handler.handle(params) - if self.api_name in MsFreeBenchmarkConst.COMMUNICATION_API_LIST: + if self.api_name in FreeBenchmarkConst.COMMUNICATION_API_LIST: result = original_result return result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py index 375ed057ac..f35d23498d 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py @@ -7,7 +7,7 @@ from mindspore import Tensor, ops from msprobe.mindspore.common.log import logger from msprobe.mindspore.free_benchmark.common.utils import Tools -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams @@ -18,8 +18,8 @@ class BaseHandler(ABC): @staticmethod def pre_calculate(original_output, fuzzed_output): - abs_tol = MsFreeBenchmarkConst.PERT_VALUE_DICT.get(fuzzed_output.dtype, - MsFreeBenchmarkConst.PERT_VALUE_DICT.get(ms.float32)) + abs_tol = FreeBenchmarkConst.PERT_VALUE_DICT.get(fuzzed_output.dtype, + FreeBenchmarkConst.PERT_VALUE_DICT.get(ms.float32)) return original_output.to(fuzzed_output.dtype), fuzzed_output, abs_tol @@ -31,7 +31,7 @@ class BaseHandler(ABC): @staticmethod def convert_overflow_ratio_to_consistent(ratio): if math.isnan(ratio) or math.isinf(ratio): - return MsFreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return FreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD return ratio @staticmethod @@ -47,7 +47,7 @@ class BaseHandler(ABC): norm1 = BaseHandler.convert_overflow_ratio_to_consistent(ops.max(ratio_tensor1)[0].to(ms.float32).item()) norm2 = BaseHandler.convert_overflow_ratio_to_consistent(ops.max(ratio_tensor2)[0].to(ms.float32).item()) norm3 = BaseHandler.convert_overflow_ratio_to_consistent(ops.min(ratio_tensor1)[0].to(ms.float32).item()) - ratio = MsFreeBenchmarkConst.SYMBOL_FLIPPING_RATIO if norm3 < 0 else max(norm1, norm2) + ratio = FreeBenchmarkConst.SYMBOL_FLIPPING_RATIO if norm3 < 0 else max(norm1, norm2) return ratio @@ -57,7 +57,7 @@ class BaseHandler(ABC): original_output, fuzzed_output, abs_tol = BaseHandler.pre_calculate(original_output, fuzzed_output) except Exception as e: logger.error(f"When computing ratio, y1 or y2 dtype is not supported {str(e)}") - return MsFreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return FreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD abs_tol = abs_tol ** 0.5 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py index 8d709cb0d7..bf8c681e54 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py @@ -1,14 +1,14 @@ from msprobe.mindspore.common.log import logger from msprobe.mindspore.free_benchmark.common.config import Config -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from .check_handler import CheckHandler from .fix_handler import FixHandler class HandlerFactory: result_handlers = { - MsFreeBenchmarkConst.CHECK: CheckHandler, - MsFreeBenchmarkConst.FIX: FixHandler, + FreeBenchmarkConst.CHECK: CheckHandler, + FreeBenchmarkConst.FIX: FixHandler, } @staticmethod diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py index 3d645a6f1f..2764d3d490 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py @@ -5,7 +5,7 @@ from mindspore import Tensor, ops from msprobe.mindspore.common.log import logger from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst class AddNoisePerturbation(BasePerturbation): @@ -53,7 +53,7 @@ class AddNoisePerturbation(BasePerturbation): if not ops.is_floating_point(input) or ops.numel(input) == 0: return False - pert_value = MsFreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) + pert_value = FreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) if not pert_value: return False else: diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py index b682edf09c..65202e0f66 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py @@ -4,7 +4,7 @@ import numpy as np from mindspore import Tensor, ops from msprobe.mindspore.common.log import logger -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation @@ -15,10 +15,10 @@ class BitNoisePerturbation(BasePerturbation): if isinstance(inputs, Tensor): bit_len_type = self._get_bit_len_type(inputs) if bit_len_type is not False: - sub_normal_np = np.finfo(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)).smallest_normal + sub_normal_np = np.finfo(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)).smallest_normal sub_normal = Tensor(sub_normal_np) - noise_type = list(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.keys())[ - list(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.values()).index(bit_len_type)] + noise_type = list(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.keys())[ + list(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.values()).index(bit_len_type)] noise = ops.full(inputs.shape, 1, dtype=noise_type) input_np = inputs.asnumpy() input_np_int = input_np.view(bit_len_type) @@ -26,7 +26,7 @@ class BitNoisePerturbation(BasePerturbation): result = ops.where(ops.abs(inputs) > sub_normal, ops.bitwise_xor(result, noise), result) result_np = result.asnumpy() - result_np_float = result_np.view(MsFreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)) + result_np_float = result_np.view(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)) self.is_fuzzed = True return Tensor(result_np_float) @@ -51,10 +51,10 @@ class BitNoisePerturbation(BasePerturbation): if not isinstance(input, Tensor) or not ops.is_floating_point(input) or \ input.numel() == 0: return False - bit_len_type = MsFreeBenchmarkConst.PERT_BIT_DICT.get(input.dtype) + bit_len_type = FreeBenchmarkConst.PERT_BIT_DICT.get(input.dtype) if not bit_len_type: return False - pert_value = MsFreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) + pert_value = FreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) if not pert_value: return False max_val = ops.max(ops.abs(input))[0].item() diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py index c325361879..f55a96aca3 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py @@ -5,7 +5,7 @@ from mindspore import Tensor, ops from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.common.log import logger @@ -26,7 +26,7 @@ class ImprovePrecisionPerturbation(BasePerturbation): args = self.improve_tensor_precision(params.args) kwargs = self.improve_tensor_precision(params.kwargs) fuzzed_value = args - if self.api_name in MsFreeBenchmarkConst.COMMUNICATION_API_LIST: + if self.api_name in FreeBenchmarkConst.COMMUNICATION_API_LIST: params.fuzzed_value = fuzzed_value if not self.is_fuzzed: logger.warning(f"{self.api_name} can not improve precision.") diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py index 01d1fa6e78..6c8328dc2e 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py @@ -1,4 +1,4 @@ -from msprobe.core.common.const import MsFreeBenchmarkConst +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.free_benchmark.common.config import Config from .add_noise import AddNoisePerturbation from .bit_noise import BitNoisePerturbation @@ -12,10 +12,10 @@ class PerturbationFactory: """ perturbations = { - MsFreeBenchmarkConst.IMPROVE_PRECISION: ImprovePrecisionPerturbation, - MsFreeBenchmarkConst.ADD_NOISE: AddNoisePerturbation, - MsFreeBenchmarkConst.BIT_NOISE: BitNoisePerturbation, - MsFreeBenchmarkConst.NO_CHANGE: NoChangePerturbation, + FreeBenchmarkConst.IMPROVE_PRECISION: ImprovePrecisionPerturbation, + FreeBenchmarkConst.ADD_NOISE: AddNoisePerturbation, + FreeBenchmarkConst.BIT_NOISE: BitNoisePerturbation, + FreeBenchmarkConst.NO_CHANGE: NoChangePerturbation, } @staticmethod diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py index c9a0d8a65a..e485887ce6 100644 --- a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py @@ -1,24 +1,24 @@ -from msprobe.core.common.const import MsConst +from msprobe.mindspore.common.const import Const from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.free_benchmark.api_pynative_self_check import ApiPyNativeSelFCheck class SelfCheckToolFactory: tools = { - MsConst.CELL: { - MsConst.GRAPH_KBYK_MODE: None, - MsConst.GRAPH_GE_MODE: None, - MsConst.PYNATIVE_MODE: None + Const.CELL: { + Const.GRAPH_KBYK_MODE: None, + Const.GRAPH_GE_MODE: None, + Const.PYNATIVE_MODE: None }, - MsConst.API: { - MsConst.GRAPH_KBYK_MODE: None, - MsConst.GRAPH_GE_MODE: None, - MsConst.PYNATIVE_MODE: ApiPyNativeSelFCheck + Const.API: { + Const.GRAPH_KBYK_MODE: None, + Const.GRAPH_GE_MODE: None, + Const.PYNATIVE_MODE: ApiPyNativeSelFCheck }, - MsConst.KERNEL: { - MsConst.GRAPH_KBYK_MODE: None, - MsConst.GRAPH_GE_MODE: None, - MsConst.PYNATIVE_MODE: None + Const.KERNEL: { + Const.GRAPH_KBYK_MODE: None, + Const.GRAPH_GE_MODE: None, + Const.PYNATIVE_MODE: None } } diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index ad5de0bf34..05beeea32c 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -2,7 +2,8 @@ import json from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.core.common.file_check import FileOpen -from msprobe.core.common.const import Const, MsFreeBenchmarkConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.common.log import logger @@ -59,15 +60,15 @@ class FreeBenchmarkConfig(BaseConfig): self._check_config() def _check_config(self): - if self.fuzz_device and self.fuzz_device not in MsFreeBenchmarkConst.DEVICE_LIST: + if self.fuzz_device and self.fuzz_device not in FreeBenchmarkConst.DEVICE_LIST: raise Exception("fuzz_device must be npu or empty") - if self.pert_mode and self.pert_mode not in MsFreeBenchmarkConst.PERT_TYPE_LIST: + if self.pert_mode and self.pert_mode not in FreeBenchmarkConst.PERT_TYPE_LIST: raise Exception("pert_mode must be improve_precision, add_noise, bit_noise , no_change or empty") - if self.handler_type and self.handler_type not in MsFreeBenchmarkConst.HANDLER_TYPE_LIST: + if self.handler_type and self.handler_type not in FreeBenchmarkConst.HANDLER_TYPE_LIST: raise Exception("handler_type must be check, fix or empty") - if self.fuzz_level and self.fuzz_level not in MsFreeBenchmarkConst.DUMP_LEVEL_LIST: + if self.fuzz_level and self.fuzz_level not in FreeBenchmarkConst.DUMP_LEVEL_LIST: raise Exception("fuzz_level must be L1 or empty") - if self.fuzz_stage and self.fuzz_stage not in MsFreeBenchmarkConst.STAGE_LIST: + if self.fuzz_stage and self.fuzz_stage not in FreeBenchmarkConst.STAGE_LIST: raise Exception("fuzz_stage must be forward or empty") if self.if_preheat or self.preheat_step or self.max_sample: logger.warning("'if_preheat', 'preheat_step' and 'max_sample' settings " diff --git a/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py b/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py index 45fff4cd48..dfe2fbe2cd 100644 --- a/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py @@ -1,4 +1,5 @@ -from msprobe.core.common.const import Const, MsConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import Const as MsConst from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.dump.dump_tool_factory import DumpToolFactory from msprobe.mindspore.overflow_check.overflow_check_tool_factory import OverflowCheckToolFactory diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py index 699df3baec..cdc88a3beb 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py @@ -21,7 +21,7 @@ from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.dump.kernel_graph_dump import KernelGraphDump from msprobe.mindspore.task_handler_factory import TaskHandlerFactory -from msprobe.core.common.const import MsConst +from msprobe.mindspore.common.const import Const class TestTaskHandlerFactory(TestCase): @@ -44,7 +44,7 @@ class TestTaskHandlerFactory(TestCase): common_config = CommonConfig(json_config) task_config = BaseConfig(json_config) config = DebuggerConfig(common_config, task_config) - config.execution_mode = MsConst.GRAPH_GE_MODE + config.execution_mode = Const.GRAPH_GE_MODE handler = TaskHandlerFactory.create(config) self.assertTrue(isinstance(handler, KernelGraphDump)) -- Gitee From 5b64ac0fca7f1683de94cde1954c791639c58835 Mon Sep 17 00:00:00 2001 From: makai Date: Wed, 7 Aug 2024 10:27:58 +0800 Subject: [PATCH 071/160] =?UTF-8?q?=E5=B0=86is=5Fterminated=E6=8F=90?= =?UTF-8?q?=E5=8F=96=E5=88=B0BaseDataProcessor=E7=B1=BB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/data_dump/data_processor/base.py | 7 +++++++ .../data_dump/data_processor/mindspore_processor.py | 11 ----------- .../data_dump/data_processor/pytorch_processor.py | 11 ----------- 3 files changed, 7 insertions(+), 22 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index e15000008b..80db0104bd 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -65,6 +65,8 @@ class BaseDataProcessor: self.current_iter = 0 self._return_forward_new_output = False self._forward_new_output = None + self.real_overflow_dump_times = 0 + self.overflow_nums = config.overflow_nums @property def data_path(self): @@ -72,6 +74,11 @@ class BaseDataProcessor: @property def is_terminated(self): + if self.overflow_nums == -1: + return False + if self.real_overflow_dump_times >= self.overflow_nums: + logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") + return True return False @staticmethod diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index d8f7093fed..877fc3a01a 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -154,18 +154,7 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): def __init__(self, config, data_writer): super().__init__(config, data_writer) self.cached_tensors_and_file_paths = {} - self.real_overflow_dump_times = 0 - self.overflow_nums = config.overflow_nums - @property - def is_terminated(self): - if self.overflow_nums == -1: - return False - if self.real_overflow_dump_times >= self.overflow_nums: - logger.warning(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") - return True - return False - def analyze_forward(self, name, module, module_input_output: ModuleForwardInputsOutputs): self.has_overflow = False api_info_struct = super().analyze_forward(name, module, module_input_output) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index f8bf381190..191a33f9f7 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -183,19 +183,8 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): def __init__(self, config, data_writer): super().__init__(config, data_writer) self.cached_tensors_and_file_paths = {} - self.real_overflow_dump_times = 0 - self.overflow_nums = config.overflow_nums self.bits_for_overflow = 8 - @property - def is_terminated(self): - if self.overflow_nums == -1: - return False - if self.real_overflow_dump_times >= self.overflow_nums: - logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") - return True - return False - @staticmethod def overflow_debug_mode_enable(): overflow_mode = os.getenv(OverflowConst.OVERFLOW_DEBUG_MODE_ENABLE, Const.ENV_DISABLE) -- Gitee From 0fbac448466a36a3d81e03261dc9a4cd62d596e6 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 10:42:47 +0800 Subject: [PATCH 072/160] =?UTF-8?q?=E4=BF=AE=E5=A4=8Dhook=E6=B3=A8?= =?UTF-8?q?=E5=86=8C=E9=A1=BA=E5=BA=8F=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index b417fa88d8..79abfdc9e6 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -175,10 +175,6 @@ class Service: prefix = BaseScope.Module_Type_Module + Const.SEP + name + Const.SEP + \ module.__class__.__name__ + Const.SEP - module.register_forward_pre_hook( - self.module_processor.node_hook(prefix + Const.FORWARD, Const.START)) - module.register_forward_hook( - self.module_processor.node_hook(prefix + Const.FORWARD, Const.STOP)) module.register_full_backward_hook( self.module_processor.node_hook(prefix + Const.BACKWARD, Const.STOP)) @@ -190,6 +186,11 @@ class Service: module.register_forward_hook(forward_hook_torch_version_below_2) module.register_full_backward_hook(backward_hook) + module.register_forward_pre_hook( + self.module_processor.node_hook(prefix + Const.FORWARD, Const.START)) + module.register_forward_hook( + self.module_processor.node_hook(prefix + Const.FORWARD, Const.STOP)) + if self.config.level in ["mix", "L1", "L2"]: api_register.initialize_hook(functools.partial(self.build_hook, BaseScope.Module_Type_API)) api_register.api_modularity() -- Gitee From 5438d75958a2b0c5483fd864be60461b3e8d303f Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 7 Aug 2024 10:46:59 +0800 Subject: [PATCH 073/160] =?UTF-8?q?=E3=80=90BugFix=E3=80=91=E5=90=88?= =?UTF-8?q?=E5=B9=B6=E5=88=86=E6=94=AF=E5=AF=BC=E8=87=B4=E9=83=A8=E5=88=86?= =?UTF-8?q?=E6=94=B9=E5=8A=A8=E6=9C=AA=E8=AE=B0=E5=BD=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/utils.py | 20 ++++++++++++---- .../mindspore/compare/distributed_compare.py | 23 +++++++++---------- debug/accuracy_tools/msprobe/msprobe.py | 2 +- .../msprobe/pytorch/compare/pt_compare.py | 11 --------- 4 files changed, 27 insertions(+), 29 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index d213e0b46d..de4047fd9c 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -38,13 +38,13 @@ def read_op(op_data, op_name): op_parsed_list += output_parsed_list output_parsed_list.clear() if 'backward' in op_name: - if 'grad_input' in op_data: - input_item = op_data['grad_input'] + if 'input' in op_data: + input_item = op_data['input'] input_parsed_list = op_item_parse(input_item, op_name + '_input', None) op_parsed_list = input_parsed_list.copy() input_parsed_list.clear() - if 'grad_output' in op_data: - output_item = op_data['grad_output'] + if 'output' in op_data: + output_item = op_data['output'] output_parsed_list = op_item_parse(output_item, op_name + '_output', None) op_parsed_list += output_parsed_list output_parsed_list.clear() @@ -352,7 +352,17 @@ def merge_tensor(tensor_list, summary_compare, md5_compare): return op_dict if op_dict["op_name"] else {} - +def _compare_parser(parser): + parser.add_argument("-i", "--input_path", dest="input_path", type=str, + help=" The compare input path, a dict json.", required=True) + parser.add_argument("-o", "--output_path", dest="output_path", type=str, + help=" The compare task result out path.", required=True) + parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", + help=" Whether to save stack info.", required=False) + parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", + help=" Whether to give advisor.", required=False) + parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", + help=" Whether to perform a fuzzy match on the api name.", required=False) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 94d03f4f21..cab07daec2 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -20,10 +20,10 @@ import re from msprobe.core.common.utils import CompareException, check_compare_param, \ check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid from msprobe.core.common.file_check import create_directory +from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import MSComparator - def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): def check_and_return_dir_contents(dump_dir, prefix): """ @@ -87,25 +87,24 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): 'or use compare() api and manually match the ranks.') raise CompareException(CompareException.INVALID_PATH_ERROR) for nr, br in zip(npu_ranks, bench_ranks): - n_dir = os.path.join(npu_dump_dir, nr) - b_dir = os.path.join(bench_dump_dir, br) - s_dir = b_dir - npu_json_path = extract_json(n_dir, stack_json=False) - bench_json_path = extract_json(b_dir, stack_json=False) - stack_json_path = extract_json(s_dir, stack_json=True) + npu_data_dir = os.path.join(npu_dump_dir, nr) + bench_data_dir = os.path.join(bench_dump_dir, br) + npu_path = extract_json(npu_data_dir, stack_json=False) + bench_path = extract_json(bench_data_dir, stack_json=False) + stack_path = extract_json(npu_data_dir, stack_json=True) dump_result_param = { - 'npu_json_path': npu_json_path, - 'bench_json_path': bench_json_path, - 'stack_json_path': stack_json_path, + 'npu_path': npu_path, + 'bench_path': bench_path, + 'stack_path': stack_path, 'is_print_compare_log': True } try: summary_compare, md5_compare = task_dumppath_get(dump_result_param) check_configuration_param(stack_mode, auto_analyze, fuzzy_match) create_directory(output_path) - check_compare_param(dump_result_param, output_path, stack_mode=stack_mode, summary_compare=summary_compare) - except CompareException as error: + check_compare_param(dump_result_param, output_path, summary_compare=summary_compare, md5_compare=md5_compare) + except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') sys.exit(error.code) msComparator=MSComparator() diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 5146ee1acb..4bc841654e 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -22,7 +22,7 @@ from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _ _api_precision_compare_command from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ _run_overflow_check_command -from msprobe.pytorch.compare.pt_compare import _compare_parser +from msprobe.core.compare.utils import _compare_parser from msprobe.pytorch.compare.compare_cli import compare_cli from msprobe.mindspore.compare.compare_cli import compare_cli_ms diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index b32e6df609..75bc9d4f34 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -247,17 +247,6 @@ def pt_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu md5_compare=md5_compare) -def _compare_parser(parser): - parser.add_argument("-i", "--input_path", dest="input_path", type=str, - help=" The compare input path, a dict json.", required=True) - parser.add_argument("-o", "--output_path", dest="output_path", type=str, - help=" The compare task result out path.", required=True) - parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", - help=" Whether to save stack info.", required=False) - parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", - help=" Whether to give advisor.", required=False) - parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", - help=" Whether to perform a fuzzy match on the api name.", required=False) -- Gitee From 848bec725e419784d40c6e9a2032d7ca7cdb3165 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 10:52:37 +0800 Subject: [PATCH 074/160] =?UTF-8?q?=E4=BD=BF=E7=94=A8const=E5=B8=B8?= =?UTF-8?q?=E9=87=8F=E6=9B=BF=E6=8D=A2=E5=AD=97=E7=AC=A6=E4=B8=B2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/module_processer.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/module_processer.py b/debug/accuracy_tools/msprobe/pytorch/module_processer.py index c18288ef2a..688c0b8c5b 100644 --- a/debug/accuracy_tools/msprobe/pytorch/module_processer.py +++ b/debug/accuracy_tools/msprobe/pytorch/module_processer.py @@ -121,9 +121,9 @@ class ModuleProcesser: if self.scope: self.scope.begin_module(full_name) - if 'forward' in name_prefix and Const.START in start_or_stop: + if Const.FORWARD in name_prefix and Const.START in start_or_stop: return pre_hook - elif 'backward' in name_prefix: + elif Const.BACKWARD in name_prefix: return backward_hook else: return end_hook -- Gitee From d3e579bd4f3521c9bc1d32f6fa284e0d1ad6192b Mon Sep 17 00:00:00 2001 From: stby <295887736@qq.com> Date: Tue, 6 Aug 2024 20:06:44 +0800 Subject: [PATCH 075/160] bugfix: handle raise error --- profiler/cli/compare_cli.py | 5 +-- .../compare_backend/comparison_generator.py | 35 ++++++++++++++----- .../disaggregate/overall_perf_interface.py | 15 ++++++-- .../compare_backend/utils/args_manager.py | 11 +++--- .../compare_interface/comparison_interface.py | 1 - profiler/compare_tools/performance_compare.py | 1 - 6 files changed, 45 insertions(+), 23 deletions(-) diff --git a/profiler/cli/compare_cli.py b/profiler/cli/compare_cli.py index f9add948ea..3a36d2cd9b 100644 --- a/profiler/cli/compare_cli.py +++ b/profiler/cli/compare_cli.py @@ -44,7 +44,4 @@ from profiler.compare_tools.compare_backend.comparison_generator import Comparis @click.option('--gpu_flow_cat', type=str, default='', help="Identifier of the GPU connection.") def compare_cli(**kwargs) -> None: args = AnalyzeDict(kwargs) - try: - ComparisonGenerator(args).run() - except RuntimeError as e: - print(f"[ERROR] {e}") + ComparisonGenerator(args).run() diff --git a/profiler/compare_tools/compare_backend/comparison_generator.py b/profiler/compare_tools/compare_backend/comparison_generator.py index b07170b648..b4d17f88ed 100644 --- a/profiler/compare_tools/compare_backend/comparison_generator.py +++ b/profiler/compare_tools/compare_backend/comparison_generator.py @@ -12,13 +12,22 @@ class ComparisonGenerator: INTERFACE_DICT = {Constant.OVERALL_COMPARE: OverallInterface} def __init__(self, args): - self._args_manager = ArgsManager() - self._args_manager.init(args) + self._args_manager = ArgsManager(args) self._data_dict = {} def run(self): - self.load_data() - self.generate_compare_result() + try: + self._args_manager.init() + self.load_data() + self.generate_compare_result() + except NotImplementedError as e: + print(f"[ERROR] {e}") + except RuntimeError as e: + print(f"[ERROR] {e}") + except FileNotFoundError as e: + print(f"[ERROR] {e}") + except Exception as e: + print(f"[ERROR] {e}") def load_data(self): self._data_dict[Constant.BASE_DATA] = self.PARSER_DICT.get(self._args_manager.base_profiling_type)( @@ -37,8 +46,18 @@ class ComparisonGenerator: generator.join() def run_interface(self, compare_type: str) -> dict: - self.load_data() - interface = self.INTERFACE_DICT.get(compare_type) - if interface: - return interface(self._data_dict).run() + try: + self._args_manager.init() + self.load_data() + interface = self.INTERFACE_DICT.get(compare_type) + if interface: + return interface(self._data_dict).run() + except NotImplementedError as e: + print(f"[ERROR] {e}") + except RuntimeError as e: + print(f"[ERROR] {e}") + except FileNotFoundError as e: + print(f"[ERROR] {e}") + except Exception as e: + print(f"[ERROR] {e}") return {} diff --git a/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py b/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py index 7bac2b0335..65524664ee 100644 --- a/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py +++ b/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py @@ -15,9 +15,18 @@ class OverallPerfInterface: self._result_data = {} def run(self): - self._check_path() - self._load_data() - self._generate_result() + try: + self._check_path() + self._load_data() + self._generate_result() + except NotImplementedError as e: + print(f"[ERROR] {e}") + except RuntimeError as e: + print(f"[ERROR] {e}") + except FileNotFoundError as e: + print(f"[ERROR] {e}") + except Exception as e: + print(f"[ERROR] {e}") return self._result_data def _check_path(self): diff --git a/profiler/compare_tools/compare_backend/utils/args_manager.py b/profiler/compare_tools/compare_backend/utils/args_manager.py index ab9fb43a96..579bf9b997 100644 --- a/profiler/compare_tools/compare_backend/utils/args_manager.py +++ b/profiler/compare_tools/compare_backend/utils/args_manager.py @@ -11,17 +11,17 @@ class Singleton(object): self._cls = cls self._instance = {} - def __call__(self): + def __call__(self, args): if self._cls not in self._instance: - self._instance[self._cls] = self._cls() + self._instance[self._cls] = self._cls(args) return self._instance[self._cls] @Singleton class ArgsManager: - def __init__(self): - self._args = None + def __init__(self, args: any): + self._args = args self._base_path_dict = {} self._comparison_path_dict = {} @@ -114,8 +114,7 @@ class ArgsManager: path_dict.update({Constant.INFO_JSON_PATH: os.path.join(file_path, dir_name)}) return path_dict - def init(self, args: any): - self._args = args + def init(self): if self._args.max_kernel_num is not None and self._args.max_kernel_num <= Constant.LIMIT_KERNEL: msg = f"Invalid param, --max_kernel_num has to be greater than {Constant.LIMIT_KERNEL}" raise RuntimeError(msg) diff --git a/profiler/compare_tools/compare_interface/comparison_interface.py b/profiler/compare_tools/compare_interface/comparison_interface.py index 919095b310..b747aae478 100644 --- a/profiler/compare_tools/compare_interface/comparison_interface.py +++ b/profiler/compare_tools/compare_interface/comparison_interface.py @@ -21,7 +21,6 @@ class ComparisonInterface: def compare(self, compare_type: str) -> dict: if compare_type == Constant.OVERALL_COMPARE: self._args.enable_profiling_compare = True - return ComparisonGenerator(self._args).run_interface(compare_type) def disaggregate_perf(self, compare_type: str) -> dict: diff --git a/profiler/compare_tools/performance_compare.py b/profiler/compare_tools/performance_compare.py index 7c9d60aac0..7c3fcdb6ec 100644 --- a/profiler/compare_tools/performance_compare.py +++ b/profiler/compare_tools/performance_compare.py @@ -31,7 +31,6 @@ def main(): ComparisonGenerator(args).run() - if __name__ == "__main__": start_time = datetime.datetime.now() main() -- Gitee From 739fe519dfc685eaa3c2b50479e834845069b527 Mon Sep 17 00:00:00 2001 From: cai-weiwei1989 <734267852@qq.com> Date: Wed, 7 Aug 2024 11:43:14 +0800 Subject: [PATCH 076/160] =?UTF-8?q?[compare=5Ftools]=E8=B5=84=E6=96=99?= =?UTF-8?q?=E6=B5=8B=E8=AF=95=E6=84=8F=E8=A7=81=E4=BF=AE=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- profiler/compare_tools/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/profiler/compare_tools/README.md b/profiler/compare_tools/README.md index b40f19e92f..99559728d5 100644 --- a/profiler/compare_tools/README.md +++ b/profiler/compare_tools/README.md @@ -196,7 +196,7 @@ MindSpore场景仅支持**总体性能**和**通信性能**的对比。 | Lccl Time(Num) | Lccl算子耗时，Num表示计算的次数。 | | Computing Time | 计算流耗时，计算流所有event耗时总和。如果有多条并发计算，计算流耗时对重叠部分只会计算一次。 | | Mem Usage | 内存使用。GPU上的内存使用可以使用nvidia-smi查看，NPU上的内存使用可以使用npu-smi查看，Profiling信息采集时打开profile_memory=True开关，mem usage显示的是memory_record里面的最大resevered值，一般来说是进程级内存。 | -| Uncovered Communication Time(Wait Time) | 通信未掩盖耗时，包含Wait Time（只有采集性能数据的Level等级为L1以上并且采集NPU数据时才会存在）为同步时间。 | +| Uncovered Communication Time(Wait Time) | 通信未掩盖耗时。Wait Time为卡间等待时间（Wait Time仅NPU场景才会存在）。 | | SDMA Time(Num) | 拷贝类任务耗时，Num表示计算的次数。 | | Free Time | 调度耗时 = E2E耗时 - 算子耗时 - 通信不可掩盖耗时。Free的定义为Device侧既不在通信又不在计算的时间，因此包含拷贝时间（SDMA Time）。 | | E2E Time(Not minimal profiling) | E2E总耗时，计算流端到端耗时。当存在Not minimal profiling时，表示该时间存在性能膨胀，会影响通信和调度耗时。 | @@ -221,7 +221,7 @@ Index列字段说明： | 字段 | | | 说明 | | ---------------------------- | ------------------ | ----------------------------------- | ------------------------------------------------------------ | -| Computing Time | | | 计算流耗时，计算流所有event耗时总和。如果有多条并发计算，计算流耗时对重叠部分只会计算一次。 | +| Computing Time | | | 计算流耗时，计算流所有event耗时总和。如果有多条并发计算，计算流耗时对重叠部分只会计算一次。
NPU场景下，仅当采集性能数据的Level等级为L1及以上且aic_metrics取值为PipeUtilization时才可拆分出Computing Time的二级字段Flash Attention、Conv等。 | | | Flash Attention | | Flash Attention算子。 | | | | Flash Attention (Forward) (Cube) | Flash Attention前向算子下发的所有Cube类Kernel的总耗时，一般为执行该算子核心计算的算子。 | | | | Flash Attention (Forward) (Vector) | Flash Attention前向算子下发的所有Vector类Kernel的总耗时，一般为插入的转换类算子，如TransData。 | -- Gitee From 0de005cf96e5be201ce780ffbaf9d2632ba43753 Mon Sep 17 00:00:00 2001 From: zyy Date: Wed, 7 Aug 2024 11:49:11 +0800 Subject: [PATCH 077/160] profiling_compare_print --- .../compare_bean/profiling_info.py | 175 +++++++++--------- .../profiling_parser/gpu_profiling_parser.py | 19 -- .../profiling_parser/npu_profiling_parser.py | 24 --- .../compare_bean/test_profiling_info.py | 73 +++----- .../test_gpu_profiling_parser.py | 12 +- 5 files changed, 123 insertions(+), 180 deletions(-) diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index fe5781426e..9454064c0e 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -8,31 +8,15 @@ class ProfilingInfo: def __init__(self, profiling_type: str): self.profiling_type = profiling_type - self.cube_time = 0.0 self.other_time = 0.0 - self.vec_time = 0.0 - self.cube_num = 0 - self.vec_num = 0 - self.sdma_num = 0 - self.fa_num_fwd = 0 - self.fa_num_bwd = 0 - self.pa_num = 0 self.lccl_num = 0 - self.conv_time_fwd = 0.0 - self.conv_time_bwd = 0.0 - self.conv_num_fwd = 0 - self.conv_num_bwd = 0 self.compute_time = 0.0 self.communication_not_overlapped = 0.0 self.wait_time = 0.0 self.memory_used = 0.0 self.e2e_time = 0.0 - self.sdma_time = 0.0 self.scheduling_time = 0.0 - self.fa_time_bwd = 0.0 - self.pa_time = 0.0 self.lccl_time = 0.0 - self.fa_time_fwd = 0.0 self.minimal_profiling = False self.hide_op_details = False self.is_level0 = False @@ -138,61 +122,78 @@ class ProfilingInfo: def vector_total_num(self): return sum((self.vector_num_trans, self.vector_num_notrans)) - def trans_time_to_s(self): - self.cube_time = self.cube_time / 10 ** 6 - self.other_time = self.other_time / 10 ** 6 - self.vec_time = self.vec_time / 10 ** 6 - self.compute_time = self.compute_time / 10 ** 6 - self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 - self.wait_time = self.wait_time / 10 ** 6 - self.e2e_time = self.e2e_time / 10 ** 6 - self.sdma_time = self.sdma_time / 10 ** 6 - self.scheduling_time = self.scheduling_time / 10 ** 6 - self.fa_time_bwd = self.fa_time_bwd / 10 ** 6 - self.fa_time_fwd = self.fa_time_fwd / 10 ** 6 - self.pa_time = self.pa_time / 10 ** 6 - self.lccl_time = self.lccl_time / 10 ** 6 - self.conv_time_fwd = self.conv_time_fwd / 10 ** 6 - self.conv_time_bwd = self.conv_time_bwd / 10 ** 6 + @property + def cube_time(self): + return (self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time) / 1000 - # 新指标单位为ms - self.fa_time_fwd_cube /= 10 ** 3 - self.fa_time_bwd_cube /= 10 ** 3 - self.fa_time_fwd_vector /= 10 ** 3 - self.fa_time_bwd_vector /= 10 ** 3 - self.conv_time_fwd_cube /= 10 ** 3 - self.conv_time_bwd_cube /= 10 ** 3 - self.conv_time_fwd_vector /= 10 ** 3 - self.conv_time_bwd_vector /= 10 ** 3 - self.matmul_time_cube /= 10 ** 3 - self.matmul_time_vector /= 10 ** 3 - self.vector_time_trans /= 10 ** 3 - self.vector_time_notrans /= 10 ** 3 - self.sdma_time_tensor_move /= 10 ** 3 - self.sdma_time_stream /= 10 ** 3 - self.page_attention_time /= 10 ** 3 - self.other_cube_time /= 10 ** 3 + @property + def vec_time(self): + return (self.vector_time_trans + self.vector_time_notrans) / 1000 + + @property + def cube_num(self): + return self.matmul_num_cube + self.matmul_num_vector + self.other_cube_num + + @property + def vec_num(self): + return self.vector_num_trans + self.vector_num_notrans + + @property + def sdma_num(self): + return self.sdma_num_tensor_move + self.sdma_num_stream + + @property + def fa_num_fwd(self): + return self.fa_num_fwd_cube + self.fa_num_fwd_vector + + @property + def fa_num_bwd(self): + return self.fa_num_bwd_cube + self.fa_num_bwd_vector + + @property + def pa_num(self): + return self.page_attention_num + + @property + def pa_time(self): + return self.page_attention_time / 1000 + + @property + def conv_time_fwd(self): + return (self.conv_time_fwd_cube + self.conv_time_fwd_vector) / 1000 + + @property + def conv_time_bwd(self): + return (self.conv_time_bwd_cube + self.conv_time_bwd_vector) / 1000 + + @property + def conv_num_fwd(self): + return self.conv_num_fwd_cube + self.conv_num_fwd_vector + + @property + def conv_num_bwd(self): + return self.conv_num_bwd_cube + self.conv_num_bwd_vector + + @property + def sdma_time(self): + return (self.sdma_time_tensor_move + self.sdma_time_stream) / 1000 + + @property + def fa_time_fwd(self): + return (self.fa_time_fwd_cube + self.fa_time_fwd_vector) / 1000 + + @property + def fa_time_bwd(self): + return (self.fa_time_bwd_cube + self.fa_time_bwd_vector) / 1000 def calculate_other_time(self): self.other_time = max( [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - self.pa_time - self.vec_time - self.conv_time_fwd - self.conv_time_bwd]) - def calculate_vec_time(self): - self.vec_time = self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd \ - - self.conv_time_fwd - self.conv_time_bwd - def calculate_schedule_time(self): self.scheduling_time = (self.e2e_time - self.compute_time - self.lccl_time - self.communication_not_overlapped) - def update_fa_fwd_info(self, time: float): - self.fa_time_fwd += time - self.fa_num_fwd += 1 - - def update_fa_bwd_info(self, time: float): - self.fa_time_bwd += time - self.fa_num_bwd += 1 - def update_fa_fwd_cube_info(self, time: float): self.fa_time_fwd_cube += time self.fa_num_fwd_cube += 1 @@ -217,22 +218,10 @@ class ProfilingInfo: self.sdma_time_stream += time self.sdma_num_stream += num - def update_pa_info(self, time: float): - self.pa_time += time - self.pa_num += 1 - def update_lccl_info(self, time: float): self.lccl_time += time self.lccl_num += 1 - def update_conv_fwd_info(self, time: float): - self.conv_time_fwd += time - self.conv_num_fwd += 1 - - def update_conv_bwd_info(self, time: float): - self.conv_time_bwd += time - self.conv_num_bwd += 1 - def update_conv_bwd_cube_info(self, time: float): self.conv_time_bwd_cube += time self.conv_num_bwd_cube += 1 @@ -269,18 +258,6 @@ class ProfilingInfo: self.vector_time_notrans += time self.vector_num_notrans += 1 - def update_sdma_info(self, time: float, num: int = 1): - self.sdma_time += time - self.sdma_num += num - - def update_cube_info(self, time: float): - self.cube_time += time - self.cube_num += 1 - - def update_vec_info(self, time: float): - self.vec_time += time - self.vec_num += 1 - def update_other_cube_info(self, time: float): self.other_cube_time += time self.other_cube_num += 1 @@ -313,4 +290,30 @@ class ProfilingInfo: self.RDMA_bandwidth = bandwidth def set_SDMA_bandwidth(self, bandwidth: float): - self.SDMA_bandwidth = bandwidth \ No newline at end of file + self.SDMA_bandwidth = bandwidth + + def trans_time_to_s(self): + # 新指标单位为ms + self.fa_time_fwd_cube /= 10 ** 3 + self.fa_time_bwd_cube /= 10 ** 3 + self.fa_time_fwd_vector /= 10 ** 3 + self.fa_time_bwd_vector /= 10 ** 3 + self.conv_time_fwd_cube /= 10 ** 3 + self.conv_time_bwd_cube /= 10 ** 3 + self.conv_time_fwd_vector /= 10 ** 3 + self.conv_time_bwd_vector /= 10 ** 3 + self.matmul_time_cube /= 10 ** 3 + self.matmul_time_vector /= 10 ** 3 + self.vector_time_trans /= 10 ** 3 + self.vector_time_notrans /= 10 ** 3 + self.sdma_time_tensor_move /= 10 ** 3 + self.sdma_time_stream /= 10 ** 3 + self.page_attention_time /= 10 ** 3 + self.other_cube_time /= 10 ** 3 + self.other_time = self.other_time / 10 ** 6 + self.compute_time = self.compute_time / 10 ** 6 + self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 + self.wait_time = self.wait_time / 10 ** 6 + self.e2e_time = self.e2e_time / 10 ** 6 + self.scheduling_time = self.scheduling_time / 10 ** 6 + self.lccl_time = self.lccl_time / 10 ** 6 diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 0aeeba83ef..07943ba738 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -76,7 +76,6 @@ class GPUProfilingParser(BaseProfilingParser): min_ts = min(event.start_time, min_ts) max_ts = max(event.end_time, max_ts) if event.stream == self._compute_stream_id and self.__is_sdma_time(event.name): - self._result_data.overall_metrics.update_sdma_info(event.dur) self._result_data.overall_metrics.update_sdma_stream_info(event.dur) continue if not event.is_kernel_cat(): @@ -84,7 +83,6 @@ class GPUProfilingParser(BaseProfilingParser): self.__add_marks(event) if event.is_nccl_name(): continue - self.__add_compute_time(event, aten_events, flow_dict_new) self.categorize_computing_performance_data(event, flow_dict_new) self._aten_events = None self._result_data.overall_metrics.set_e2e_time(float(max_ts - min_ts)) @@ -104,23 +102,6 @@ class GPUProfilingParser(BaseProfilingParser): for timestep in range(int(event.start_time + 1), int(event.end_time + 1)): self._marks[str(timestep)] += -100 # mark this timestep in compute stream - def __add_compute_time(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict): - if self.__is_flash_attention(event.name): - if event.is_backward(): - self._result_data.overall_metrics.update_fa_bwd_info(event.dur) - else: - self._result_data.overall_metrics.update_fa_fwd_info(event.dur) - elif any(cube_mark in event.lower_name for cube_mark in self.CUBE_MARK): - is_conv = self.__check_is_conv(event, aten_events, flow_dict_new) - if is_conv == "conv_fwd": - self._result_data.overall_metrics.update_conv_fwd_info(event.dur) - elif is_conv == "conv_bwd": - self._result_data.overall_metrics.update_conv_bwd_info(event.dur) - else: - self._result_data.overall_metrics.update_cube_info(event.dur) - else: - self._result_data.overall_metrics.update_vec_info(event.dur) - def __check_is_conv(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict) -> str: flow_start_time = flow_dict_new.get(event.start_time) if not flow_start_time: diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 58f44f7f89..29e9fea8d7 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -301,28 +301,6 @@ class NPUProfilingParser(BaseProfilingParser): self._result_data.overall_metrics.update_lccl_info(event.dur) def __parse_kernel_csv(self): - def __screen_data(kernel: KernelDetailsBean): - if kernel.is_flash_attention(): - if kernel.is_fa_bwd(): - self._result_data.overall_metrics.update_fa_bwd_info(kernel.duration) - else: - self._result_data.overall_metrics.update_fa_fwd_info(kernel.duration) - elif kernel.is_conv(): - if kernel.is_conv_bwd(): - self._result_data.overall_metrics.update_conv_bwd_info(kernel.duration) - else: - self._result_data.overall_metrics.update_conv_fwd_info(kernel.duration) - elif kernel.is_matmul(): - self._result_data.overall_metrics.update_cube_info(kernel.duration) - elif kernel.is_sdma(): - self._result_data.overall_metrics.update_sdma_info(kernel.duration) - elif kernel.is_page_attention(): - self._result_data.overall_metrics.update_pa_info(kernel.duration) - elif kernel.is_vector(): - self._result_data.overall_metrics.update_vec_info(kernel.duration) - else: - self._result_data.overall_metrics.update_cube_info(kernel.duration) - try: kernel_details = FileReader.read_csv_file(self._kernel_detail_path, KernelDetailsBean) except Exception: @@ -336,7 +314,6 @@ class NPUProfilingParser(BaseProfilingParser): for kernel in kernel_details: if kernel.is_invalid(): continue - __screen_data(kernel) self.categorize_computing_performance_data(kernel, flow_dict_new) def __parse_mem_csv(self): @@ -383,5 +360,4 @@ class NPUProfilingParser(BaseProfilingParser): compute_stream = event_wait_stream & ai_core_stream if event_wait_stream else ai_core_stream for stream in compute_stream: dur_list = sdma_dict.get(stream, []) - self._result_data.overall_metrics.update_sdma_info(sum(dur_list), len(dur_list)) self._result_data.overall_metrics.update_sdma_stream_info(sum(dur_list), len(dur_list)) diff --git a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py index dc85b0af0a..59525f18f9 100644 --- a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py +++ b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py @@ -4,28 +4,6 @@ from compare_backend.compare_bean.profiling_info import ProfilingInfo class TestProfilingInfo(unittest.TestCase): - def test_calculate_other_time(self): - info = ProfilingInfo("NPU") - info.compute_time = 10 - info.cube_time = 1 - info.fa_time_fwd = 2 - info.fa_time_bwd = 2 - info.vec_time = 3 - info.calculate_other_time() - self.assertEqual(info.other_time, 2) - info.vec_time = 7 - info.calculate_other_time() - self.assertEqual(info.other_time, 0) - - def test_calculate_vec_time(self): - info = ProfilingInfo("NPU") - info.compute_time = 10 - info.cube_time = 1 - info.fa_time_fwd = 2 - info.fa_time_bwd = 2 - info.calculate_vec_time() - self.assertEqual(info.vec_time, 5) - def test_calculate_schedule_time(self): info = ProfilingInfo("NPU") info.e2e_time = 10 @@ -36,41 +14,50 @@ class TestProfilingInfo(unittest.TestCase): def test_update_fa_fwd_info(self): info = ProfilingInfo("NPU") - info.update_fa_fwd_info(5) - info.update_fa_fwd_info(5) - self.assertEqual(info.fa_time_fwd, 10) + info.fa_time_fwd_cube = 5 + info.fa_time_fwd_vector = 5 + info.fa_num_fwd_cube = 1 + info.fa_num_fwd_vector = 1 + self.assertEqual(info.fa_time_fwd, 0.01) self.assertEqual(info.fa_num_fwd, 2) def test_update_fa_bwd_info(self): info = ProfilingInfo("NPU") - info.update_fa_bwd_info(5) - info.update_fa_bwd_info(5) - self.assertEqual(info.fa_time_bwd, 10) + info.fa_time_bwd_cube = 5 + info.fa_time_bwd_vector = 5 + info.fa_num_bwd_cube = 1 + info.fa_num_bwd_vector = 1 + self.assertEqual(info.fa_time_bwd, 0.01) self.assertEqual(info.fa_num_bwd, 2) def test_update_sdma_info(self): info = ProfilingInfo("NPU") - info.update_sdma_info(5) - self.assertEqual(info.sdma_time, 5) - self.assertEqual(info.sdma_num, 1) - info.update_sdma_info(5, 5) - self.assertEqual(info.sdma_time, 10) - self.assertEqual(info.sdma_num, 6) + info.sdma_time_tensor_move = 5 + info.sdma_time_stream = 5 + info.sdma_num_tensor_move = 5 + info.sdma_num_stream = 5 + self.assertEqual(info.sdma_time, 0.01) + self.assertEqual(info.sdma_num, 10) def test_update_cube_info(self): info = ProfilingInfo("NPU") - info.update_cube_info(5) - info.update_cube_info(5) - self.assertEqual(info.cube_time, 10) - self.assertEqual(info.cube_num, 2) + info.matmul_time_cube = 1 + info.matmul_time_vector = 1 + info.other_cube_time = 1 + info.matmul_num_cube = 5 + info.matmul_num_vector = 5 + info.other_cube_num = 5 + self.assertEqual(info.cube_time, 0.003) + self.assertEqual(info.cube_num, 15) def test_update_vec_info(self): info = ProfilingInfo("NPU") - info.update_vec_info(5) - info.update_vec_info(5) - self.assertEqual(info.vec_time, 10) - self.assertEqual(info.vec_num, 2) - + info.vector_time_trans = 1 + info.vector_time_notrans = 1 + info.vector_num_trans = 2 + info.vector_num_notrans = 2 + self.assertEqual(info.vec_time, 0.002) + self.assertEqual(info.vec_num, 4) def test_set_compute_time(self): info = ProfilingInfo("NPU") info.update_compute_time(1) diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index d7cb3d0588..25293d64a2 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -76,16 +76,12 @@ class TestGpuProfilingParser(unittest.TestCase): res._marks = defaultdict(int) res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) - self.assertEqual(res._result_data.overall_metrics.sdma_time, 4) + self.assertEqual(res._result_data.overall_metrics.sdma_time, 0.004) self.assertEqual(res._result_data.overall_metrics.sdma_num, 4) - self.assertEqual(res._result_data.overall_metrics.cube_time, 1) + self.assertEqual(res._result_data.overall_metrics.cube_time, 0.001) self.assertEqual(res._result_data.overall_metrics.cube_num, 1) - self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_num_fwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_time_bwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_num_bwd, 2) - self.assertEqual(res._result_data.overall_metrics.vec_time, 2) - self.assertEqual(res._result_data.overall_metrics.vec_num, 2) # cun yi + self.assertEqual(res._result_data.overall_metrics.vec_time, 0.006) + self.assertEqual(res._result_data.overall_metrics.vec_num, 6) # cun yi self.assertEqual(res._result_data.overall_metrics.communication_not_overlapped, 2) self.assertEqual(res._result_data.overall_metrics.compute_time, 7) -- Gitee From 2ea4b74ebf1b1a4c80054a7dd8533bd92ebd7de0 Mon Sep 17 00:00:00 2001 From: zyy Date: Wed, 7 Aug 2024 15:24:51 +0800 Subject: [PATCH 078/160] 86 --- .../compare_bean/profiling_info.py | 64 +++++++++---------- .../compare_backend/utils/constant.py | 2 + 2 files changed, 34 insertions(+), 32 deletions(-) diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index 9454064c0e..c639aba5c0 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -124,11 +124,12 @@ class ProfilingInfo: @property def cube_time(self): - return (self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time) / 1000 + return ( + self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time) / Constant.MILLISECONDS_TO_SECONDS @property def vec_time(self): - return (self.vector_time_trans + self.vector_time_notrans) / 1000 + return (self.vector_time_trans + self.vector_time_notrans) / Constant.MILLISECONDS_TO_SECONDS @property def cube_num(self): @@ -156,15 +157,15 @@ class ProfilingInfo: @property def pa_time(self): - return self.page_attention_time / 1000 + return self.page_attention_time / Constant.MILLISECONDS_TO_SECONDS @property def conv_time_fwd(self): - return (self.conv_time_fwd_cube + self.conv_time_fwd_vector) / 1000 + return (self.conv_time_fwd_cube + self.conv_time_fwd_vector) / Constant.MILLISECONDS_TO_SECONDS @property def conv_time_bwd(self): - return (self.conv_time_bwd_cube + self.conv_time_bwd_vector) / 1000 + return (self.conv_time_bwd_cube + self.conv_time_bwd_vector) / Constant.MILLISECONDS_TO_SECONDS @property def conv_num_fwd(self): @@ -176,16 +177,15 @@ class ProfilingInfo: @property def sdma_time(self): - return (self.sdma_time_tensor_move + self.sdma_time_stream) / 1000 + return (self.sdma_time_tensor_move + self.sdma_time_stream) / Constant.MILLISECONDS_TO_SECONDS @property def fa_time_fwd(self): - return (self.fa_time_fwd_cube + self.fa_time_fwd_vector) / 1000 + return (self.fa_time_fwd_cube + self.fa_time_fwd_vector) / Constant.MILLISECONDS_TO_SECONDS @property def fa_time_bwd(self): - return (self.fa_time_bwd_cube + self.fa_time_bwd_vector) / 1000 - + return (self.fa_time_bwd_cube + self.fa_time_bwd_vector) / Constant.MILLISECONDS_TO_SECONDS def calculate_other_time(self): self.other_time = max( [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - @@ -294,26 +294,26 @@ class ProfilingInfo: def trans_time_to_s(self): # 新指标单位为ms - self.fa_time_fwd_cube /= 10 ** 3 - self.fa_time_bwd_cube /= 10 ** 3 - self.fa_time_fwd_vector /= 10 ** 3 - self.fa_time_bwd_vector /= 10 ** 3 - self.conv_time_fwd_cube /= 10 ** 3 - self.conv_time_bwd_cube /= 10 ** 3 - self.conv_time_fwd_vector /= 10 ** 3 - self.conv_time_bwd_vector /= 10 ** 3 - self.matmul_time_cube /= 10 ** 3 - self.matmul_time_vector /= 10 ** 3 - self.vector_time_trans /= 10 ** 3 - self.vector_time_notrans /= 10 ** 3 - self.sdma_time_tensor_move /= 10 ** 3 - self.sdma_time_stream /= 10 ** 3 - self.page_attention_time /= 10 ** 3 - self.other_cube_time /= 10 ** 3 - self.other_time = self.other_time / 10 ** 6 - self.compute_time = self.compute_time / 10 ** 6 - self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 - self.wait_time = self.wait_time / 10 ** 6 - self.e2e_time = self.e2e_time / 10 ** 6 - self.scheduling_time = self.scheduling_time / 10 ** 6 - self.lccl_time = self.lccl_time / 10 ** 6 + self.fa_time_fwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.fa_time_bwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.fa_time_fwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.fa_time_bwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_fwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_bwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_fwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_bwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.matmul_time_cube /= Constant.MILLISECONDS_TO_SECONDS + self.matmul_time_vector /= Constant.MILLISECONDS_TO_SECONDS + self.vector_time_trans /= Constant.MILLISECONDS_TO_SECONDS + self.vector_time_notrans /= Constant.MILLISECONDS_TO_SECONDS + self.sdma_time_tensor_move /= Constant.MILLISECONDS_TO_SECONDS + self.sdma_time_stream /= Constant.MILLISECONDS_TO_SECONDS + self.page_attention_time /= Constant.MILLISECONDS_TO_SECONDS + self.other_cube_time /= Constant.MILLISECONDS_TO_SECONDS + self.other_time /= Constant.MICROSECONDS_TO_SECONDS + self.compute_time /= Constant.MICROSECONDS_TO_SECONDS + self.communication_not_overlapped /= Constant.MICROSECONDS_TO_SECONDS + self.wait_time /= Constant.MICROSECONDS_TO_SECONDS + self.e2e_time /= Constant.MICROSECONDS_TO_SECONDS + self.scheduling_time /= Constant.MICROSECONDS_TO_SECONDS + self.lccl_time /= Constant.MICROSECONDS_TO_SECONDS diff --git a/profiler/compare_tools/compare_backend/utils/constant.py b/profiler/compare_tools/compare_backend/utils/constant.py index 80d7d5ee4f..7247199202 100644 --- a/profiler/compare_tools/compare_backend/utils/constant.py +++ b/profiler/compare_tools/compare_backend/utils/constant.py @@ -16,6 +16,8 @@ class Constant(object): US_TO_MS = 1000 KB_TO_MB = 1024 INVALID_VALUE = -1 + MILLISECONDS_TO_SECONDS = 10 ** 3 + MICROSECONDS_TO_SECONDS = 10 ** 6 # epsilon EPS = 1e-15 -- Gitee From 75409358d6420e9ec63183fda5678b505f936198 Mon Sep 17 00:00:00 2001 From: zhaolei Date: Mon, 5 Aug 2024 11:45:34 +0800 Subject: [PATCH 079/160] =?UTF-8?q?1.=E5=B0=8F=E5=8C=85=E6=A3=80=E6=B5=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- profiler/advisor/README.md | 12 +- profiler/advisor/analyzer/base_analyzer.py | 6 +- .../analyzer/communication/packet_analyzer.py | 46 +++++ .../analyzer/communication/packet_checker.py | 148 +++++++++++++++ profiler/advisor/common/analyzer_scopes.py | 15 ++ profiler/advisor/common/constant.py | 15 ++ .../dataset/cluster/hccl_collection.py | 78 ++++++++ .../advisor/dataset/communication/__init__.py | 0 .../communication/communication_dataset.py | 109 +++++++++++ .../html/templates/packet_analysis.html | 23 +++ profiler/advisor/img/cluster_2.png | Bin 0 -> 66543 bytes profiler/advisor/img/communication.png | Bin 0 -> 58862 bytes profiler/advisor/interface/interface.py | 19 +- profiler/advisor/rules/packet.yaml | 14 ++ .../test_packet_advice.py | 175 ++++++++++++++++++ 15 files changed, 656 insertions(+), 4 deletions(-) create mode 100644 profiler/advisor/analyzer/communication/packet_analyzer.py create mode 100644 profiler/advisor/analyzer/communication/packet_checker.py create mode 100644 profiler/advisor/dataset/cluster/hccl_collection.py create mode 100644 profiler/advisor/dataset/communication/__init__.py create mode 100644 profiler/advisor/dataset/communication/communication_dataset.py create mode 100644 profiler/advisor/display/html/templates/packet_analysis.html create mode 100644 profiler/advisor/img/cluster_2.png create mode 100644 profiler/advisor/img/communication.png create mode 100644 profiler/advisor/rules/packet.yaml create mode 100644 profiler/test/ut/advisor/communication_advice/test_packet_advice.py diff --git a/profiler/advisor/README.md b/profiler/advisor/README.md index 7702711055..3d0bd2b0ca 100644 --- a/profiler/advisor/README.md +++ b/profiler/advisor/README.md @@ -67,12 +67,14 @@ msprof-analyze的advisor功能是将Ascend PyTorch Profiler或者msprof采集的 | overall | overall_summary | 计算、通信、空闲等维度对性能数据进行拆解 | | cluster | slow_rank | 慢卡识别 | | | slow_link | 慢链路识别 | +| | rdma_retransmission_analysis|RDMA通信重传检测 | | computing | aicpu | AI CPU调优 | | | dynamic_shape_analysis | 识别动态Shape算子 | | | block_dim_analysis | block dim算子调优 | | | operator_no_bound_analysis | operator no bound | | | graph | 融合算子图调优 | | | freq_analysis | AI Core算子降频分析 | +|communication|packet_analysis |通信小包检测 | | scheduling | timeline_fusion_ops | 亲和API替换调优 | | | timeline_op_dispatch | 识别算子下发问题(路径3/路径5) | @@ -126,11 +128,14 @@ msprof-analyze的advisor功能是将Ascend PyTorch Profiler或者msprof采集的 ![输入图片说明](./img/cluster.png) -cluster模块的分析包含快慢卡和快慢链路分析，仅识别问题，不提供调优建议。 +cluster模块的分析 +1. 包含快慢卡和快慢链路分析，仅识别问题，不提供调优建议。 +2. RDMA重传检测分析，识别发生重传的通信域并提供调优建议。 如下图示例，识别到当前训练任务的通信和下发（free较多说明存在任务下发存在问题）存在问题。 ![cluster_1](./img/cluster_1.png) - +如下图所示，识别到当前训练任务存在RDMA重传问题，并提供调优建议 +![cluster_2](./img/cluster_2.png) overall模块的分析包含当前训练任务慢卡的性能拆解，按照计算、通信和下发三个维度进行耗时的统计，可以基于该分析识别到训练性能瓶颈是计算、通信还是下发问题，同样不提供调优建议。 ![输入图片说明](./img/overall_0.png) @@ -159,6 +164,9 @@ computation模块从device计算性能维度进行分析，能够识别AI CPU、 ![computation_1](./img/computation_1.png) +communication模块从通信维度进行分析，目前支持通信小算子检测。 +![communication](./img/communication.png) + ## 工具使用（Jupyter Notebook方式） Jupyter Notebook使用方式如下： diff --git a/profiler/advisor/analyzer/base_analyzer.py b/profiler/advisor/analyzer/base_analyzer.py index ada1b0bf4f..80368e1d60 100644 --- a/profiler/advisor/analyzer/base_analyzer.py +++ b/profiler/advisor/analyzer/base_analyzer.py @@ -81,7 +81,11 @@ class BaseAnalyzer(VersionControl, metaclass=ABCMeta): for dataset_cls in dataset_cls_list: if dataset_cls and callable(dataset_cls): - dataset = dataset_cls(collection_path=self.collection_path, data=self.dataset_list, **self.kwargs) + try: + dataset = dataset_cls(collection_path=self.collection_path, data=self.dataset_list, **self.kwargs) + except Exception as e: + logger.error(e) + continue key = dataset_cls.get_key() if key not in self.dataset_list: self.dataset_list[key] = [] diff --git a/profiler/advisor/analyzer/communication/packet_analyzer.py b/profiler/advisor/analyzer/communication/packet_analyzer.py new file mode 100644 index 0000000000..73e5bc2bc9 --- /dev/null +++ b/profiler/advisor/analyzer/communication/packet_analyzer.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging + +from profiler.advisor.analyzer.base_analyzer import BaseAnalyzer +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.analyzer.communication.packet_checker import PacketChecker +from profiler.advisor.display.html.render import HTMLRender +from profiler.advisor.dataset.communication.communication_dataset import CommunicationDataset + +logger = logging.getLogger() + + +class PacketAnalyzer(BaseAnalyzer): + dataset_cls_list = [CommunicationDataset] + + def __init__(self, collection_path, n_processes: int = 1, **kwargs) -> None: + super().__init__(collection_path, n_processes, **kwargs) + key = CommunicationDataset.get_key() + self.dataset = self.get_first_data_by_key(self.dataset_list, key) + self.result = OptimizeResult() + self.html_render = HTMLRender() + self.html = None + + @BaseAnalyzer.check_data((CommunicationDataset.get_key(),)) + def optimize(self, **kwargs): + add_render_list = kwargs.get("add_render_list", True) + packet_checker = PacketChecker(**kwargs) + packet_checker.check_packet(self.dataset) + if not packet_checker.packet_issues: + return self.result + packet_checker.make_record(self.result) + self.html = packet_checker.make_render(self.html_render, add_render_list) + return self.result diff --git a/profiler/advisor/analyzer/communication/packet_checker.py b/profiler/advisor/analyzer/communication/packet_checker.py new file mode 100644 index 0000000000..3d9ac81ffd --- /dev/null +++ b/profiler/advisor/analyzer/communication/packet_checker.py @@ -0,0 +1,148 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import os +from profiler.advisor.dataset.communication.communication_dataset import CommunicationDataset +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.result.item import OptimizeItem, OptimizeRecord +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.utils.utils import convert_to_float + +logger = logging.getLogger() + + +class Statistic: + def __init__(self, min_ratio, min_size, desc, type_): + self.issue = False + self.count = 0 + self.abnormal_count = 0 + self.abnormal_duration = 0 + self.abnormal_ratio = 0 + self.min_ratio = min_ratio + self.min_size = min_size + self.desc = desc + self.type = type_ + + def check_threshold(self): + if self.count and self.abnormal_count: + self.abnormal_ratio = self.abnormal_count / self.count + if self.abnormal_ratio > self.min_ratio: + self.issue = True + return self.issue + + def process(self, hccl_info): + info = dict() + if self.type == "SDMA": + info = hccl_info.sdma_info + elif self.type == "RDMA": + info = hccl_info.rdma_info + if info.get('Transit Size(MB)', 0): + packet_size = info.get('Transit Size(MB)', 0) + if packet_size < self.min_size: + self.abnormal_count += 1 + self.abnormal_duration += info.get('Transit Time(ms)', 0) + self.count += 1 + + def adapt(self, dst_headers: list, src_headers, datas: list): + if not self.issue: + return False + dst_headers.extend(src_headers) + datas.extend([self.count, self.abnormal_count, self.abnormal_ratio, self.abnormal_duration]) + self.desc = self.desc.format( + abnormal_sdma_ratio=f"{round(self.abnormal_ratio, 4):.2%}", + min_sdma_size=self.min_size, + abnormal_sdma_time=round(self.abnormal_duration, 4)) + return True + + +class PacketChecker: + def __init__(self, **kwargs): + self.packet_issues = False + self.desc = "" + self.sdma_desc = "" + self.rdma_desc = "" + self.suggestions = [] + self.min_sdma_size = 0 + self.min_rdma_size = 0 + self.min_sdma_ratio = 0 + self.min_rdma_ratio = 0 + self.step_id = kwargs.get("step") + self.stage = None + self.packet_issues = False + self._init_rule() + self.sdma_statistic = Statistic(self.min_sdma_ratio, self.min_sdma_size, self.sdma_desc, "SDMA") + self.rdma_statistic = Statistic(self.min_rdma_ratio, self.min_rdma_size, self.rdma_desc, "RDMA") + self.small_packet_detail = [] + self.headers = [] + self.sdma_headers = ["SDMA total count", "Small SDMA count", "Small SDMA ratio", "Small SDMA duration(ms)"] + self.rdma_headers = ["RDMA total count", "Small RDMA count", "Small RDMA ratio", "Small RDMA duration(ms)"] + + def check_packet(self, hccl_dataset: CommunicationDataset): + for step_id, hccl_list in hccl_dataset.hccl_dict.items(): + if self.step_id and step_id != self.step_id: + continue + for hccl_info in hccl_list: + self.sdma_statistic.process(hccl_info) + self.rdma_statistic.process(hccl_info) + self.sdma_statistic.check_threshold() + self.rdma_statistic.check_threshold() + if self.sdma_statistic.adapt(self.headers, self.sdma_headers, self.small_packet_detail): + self.packet_issues = True + self.desc += self.sdma_statistic.desc + if self.rdma_statistic.adapt(self.headers, self.rdma_headers, self.small_packet_detail): + self.packet_issues = True + self.desc += self.rdma_statistic.desc + + def make_record(self, result: OptimizeResult): + """ + make record for what and how to optimize + """ + optimization_item = OptimizeItem("Packet analysis", self.desc, self.suggestions) + result.add(OptimizeRecord(optimization_item)) + + sub_table_name = "Packet Analysis" if not self.stage else f"Stage-{self.stage}: Packet Analysis" + result.add_detail(sub_table_name, headers=self.headers) + result.add_detail(sub_table_name, detail=self.small_packet_detail) + + def make_render(self, html_render, add_render_list=True): + return html_render.render_template(key="communication", + template_dir="templates", + template_name="packet_analysis.html", + desc=self.desc, + solutions=self.solutions, + headers=self.headers, + data=self.small_packet_detail + ) + + def _init_rule(self): + syncbn_rule_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))), + "rules", + "packet.yaml" + ) + + syncbn_rule = FileManager.read_yaml_file(syncbn_rule_path) + self.desc = syncbn_rule.get("problem") + self.sdma_desc = syncbn_rule.get("sdma_problem") + self.rdma_desc = syncbn_rule.get("rdma_problem") + self.min_sdma_size = convert_to_float(syncbn_rule.get("min_sdma_size")) + self.min_rdma_size = convert_to_float(syncbn_rule.get("min_rdma_size")) + self.min_sdma_ratio = convert_to_float(syncbn_rule.get("min_sdma_ratio")) + self.min_rdma_ratio = convert_to_float(syncbn_rule.get("min_rdma_ratio")) + + self.solutions = syncbn_rule.get("solutions") + for solution in self.solutions: + for key, val in solution.items(): + self.suggestions.append(f"{key}, {val.get('desc')}") diff --git a/profiler/advisor/common/analyzer_scopes.py b/profiler/advisor/common/analyzer_scopes.py index 52e3e07554..3876c0bac4 100644 --- a/profiler/advisor/common/analyzer_scopes.py +++ b/profiler/advisor/common/analyzer_scopes.py @@ -1,3 +1,17 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. class SupportedScopes: # used for specify fourth-level commands and define the key of the result dict @@ -6,6 +20,7 @@ class SupportedScopes: GRAPH = "graph" SLOW_RANK = "slow_rank" SLOW_LINK = "slow_link" + PACKET = "packet_analysis" OVER_ALL = "over_all" DYNAMIC_SHAPE_ANALYSIS = "dynamic_shape_analysis" AICPU_ANALYSIS = "aicpu_analysis" diff --git a/profiler/advisor/common/constant.py b/profiler/advisor/common/constant.py index 87245a43ea..1399ca32c0 100644 --- a/profiler/advisor/common/constant.py +++ b/profiler/advisor/common/constant.py @@ -123,6 +123,20 @@ MAX_RETRIES = 3 TIMEOUT = 3 ADVISOR_RULE_PATH = "ADVISOR_RULE_PATH" +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. CLOUD_RULE_PATH = "rules/cloud/" DEFAULT_RULE_PATH = "./rules/" @@ -137,6 +151,7 @@ CLUSTER_ANALYSIS_OUTPUT = "cluster_analysis_output" KERNEL_DETAILS_CSV = "kernel_details.csv" CLUSTER_STEP_TIME_CSV = "cluster_step_trace_time.csv" CLUSTER_COMM_JSON = "cluster_communication.json" +COMMUNICATION_JSON = "communication.json" BOTTLENECK = "bottleneck" DATA = "data" diff --git a/profiler/advisor/dataset/cluster/hccl_collection.py b/profiler/advisor/dataset/cluster/hccl_collection.py new file mode 100644 index 0000000000..a9fa536efd --- /dev/null +++ b/profiler/advisor/dataset/cluster/hccl_collection.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +hccl info +""" +import logging + +logger = logging.getLogger() + + +class HcclInfo(): + def __init__(self, group: str, step: str, rank: str, op: str, rank_dict: dict) -> None: + self._group = group + self._step = step + self._rank = rank + self._name = op.split("@")[0] + self._elapse_time = self.get_elapse_time(rank_dict, "Elapse Time(ms)") + self._sdma_info = self.get_communication_info(rank_dict, "SDMA") + self._rdma_info = self.get_communication_info(rank_dict, "RDMA") + + @property + def group(self): + return self._group + + @property + def step(self): + return self._step + + @property + def rank(self): + return self._rank + + @property + def name(self): + return self._name + + @property + def rdma_info(self): + return self._rdma_info + + @property + def sdma_info(self): + return self._sdma_info + + @property + def elapse_time(self): + return self._elapse_time + + @staticmethod + def get_communication_info(rank_dict: dict, name: str): + communication_bandwidth_info = rank_dict.get('Communication Bandwidth Info', dict()) + return communication_bandwidth_info.get(name, dict()) + + @staticmethod + def get_elapse_time(rank_dict: dict, name: str): + communication_time_info = rank_dict.get('Communication Time Info', dict()) + return communication_time_info.get(name, "") + + def get_rdma_transmit_time(self): + return self.rdma_info.get('Transit Time(ms)', 0) + + def get_rdma_transit_size(self): + return self.rdma_info.get('Transit Size(MB)', 0) + + def get_rdma_bandwidth(self): + return self.rdma_info.get('Bandwidth(GB/s)', 0) diff --git a/profiler/advisor/dataset/communication/__init__.py b/profiler/advisor/dataset/communication/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/profiler/advisor/dataset/communication/communication_dataset.py b/profiler/advisor/dataset/communication/communication_dataset.py new file mode 100644 index 0000000000..6cfc870836 --- /dev/null +++ b/profiler/advisor/dataset/communication/communication_dataset.py @@ -0,0 +1,109 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import os +from collections import defaultdict +from profiler.advisor.utils.utils import singleton +from profiler.advisor.common import constant as const +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.dataset.cluster.hccl_collection import HcclInfo +from profiler.advisor.utils.utils import CheckPathAccess + +logger = logging.getLogger() + + +@singleton +class CommunicationDataset: + RANK = "rank" + + def __init__(self, collection_path, data: dict, **kwargs) -> None: + self.timeline_dir = collection_path + self.timeline_data_list = self.get_file_path_from_directory(self.timeline_dir, + lambda file: file.endswith(const.COMMUNICATION_JSON)) + self.hccl_dict = defaultdict(list) + self.step = kwargs.get("step") + if self.parse(): + key = self.get_key() + if key not in data: + data[key] = [] + data[key].append(self) + + @staticmethod + def load_json_data(json_path): + if not os.path.exists(json_path): + msg = "[ERROR] cluster_communication.json doesn't exist, terminate analysis." + raise RuntimeError(msg) + data = FileManager.read_json_file(json_path) + return data + + @staticmethod + @CheckPathAccess + def get_file_path_from_directory(path, check_func): + """ + get file from directory + """ + file_list = [] + + if not path: + return file_list + + if not os.path.isdir(path): + logger.warning("Expected existed directory, but got %s", path) + + for root, _, files in os.walk(path): + if root.endswith("cluster_analysis_output"): + continue + for filename in files: + filepath = os.path.join(root, filename) + if check_func(filename): + file_list.append(filepath) + return file_list + + @classmethod + def get_key(cls): + """ + get key of dataset + :return: key + """ + return cls.__module__.rsplit('.', maxsplit=1)[-1] + + def parse(self): + if len(self.timeline_data_list) == 0: + logger.warning("Please ensure communication.json in %s, skip timeline analysis.", self.timeline_dir) + return False + + if len(self.timeline_data_list) > 1: + logger.warning("Found multiple communication.json in %s, load the file of device 0 for analysis .", + self.timeline_dir) + + json_data = self.load_json_data(sorted(self.timeline_data_list)[0]) + self.process(json_data) + return True + + def process(self, communication_json: dict): + for step, step_dict in communication_json.items(): + for group, group_dict in step_dict.items(): + for op, op_dict in group_dict.items(): + self.process_hccl_info(group, step, op, op_dict) + + def process_hccl_info(self, group, step, op, op_dict): + try: + hccl_info = HcclInfo(group, step, "None", op, op_dict) + if self.hccl_dict.get(step) is None: + self.hccl_dict.setdefault(step, list()) + self.hccl_dict[step].append(hccl_info) + except ValueError as e: + msg = "[ERROR] Cluster_communication.json has invalid structure." + raise ValueError(msg) from e diff --git a/profiler/advisor/display/html/templates/packet_analysis.html b/profiler/advisor/display/html/templates/packet_analysis.html new file mode 100644 index 0000000000..07189a9263 --- /dev/null +++ b/profiler/advisor/display/html/templates/packet_analysis.html @@ -0,0 +1,23 @@ +
+

Packet Analysis

+
+ {{ desc }} + + + + + + + {% for item in solutions %} + {% set rowloop = loop %} + {% for key, value in item.items() %} + + + + + {% endfor %} + {% endfor %} +
Suggestions
{{ rowloop.index }}. {{ value.desc }}
+ +
+
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z2Ml}mRqKm!CBMJty)=j`RIxjF?;_XCRVAQCcu4s4g};6QCjnJGfgLy_3kwUe4FaHh z0YIQ(acKC;6{}Z!uMF`5O=`S;9W1pn Date: Wed, 7 Aug 2024 15:35:53 +0800 Subject: [PATCH 080/160] =?UTF-8?q?=E4=BD=BF=E5=BD=93=E5=89=8D=E6=9A=82?= =?UTF-8?q?=E7=89=88=E6=9C=ACmindspore=E6=9A=82=E4=B8=8D=E6=94=AF=E6=8C=81?= =?UTF-8?q?dump=E6=95=B0=E6=8D=AE=E7=9A=84=E5=A4=9A=E5=8D=A1=E6=AF=94?= =?UTF-8?q?=E5=AF=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/core/common/exceptions.py | 2 +- debug/accuracy_tools/msprobe/core/compare/acc_compare.py | 2 +- debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py | 4 ++-- debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py | 2 +- debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py | 2 +- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/exceptions.py b/debug/accuracy_tools/msprobe/core/common/exceptions.py index ea61f8cd58..eb314c7c64 100644 --- a/debug/accuracy_tools/msprobe/core/common/exceptions.py +++ b/debug/accuracy_tools/msprobe/core/common/exceptions.py @@ -85,4 +85,4 @@ class DistributedNotInitializedError(Exception): self.msg = msg def __str__(self): - return self.msg + return self.msg \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 7d2be9c4c0..240c18f1fb 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -1,5 +1,5 @@ from msprobe.core.compare.check import check_op -from msprobe.core.common.const import CompareConst +from msprobe.core.common.const import CompareConst from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ get_error_message from msprobe.core.common.exceptions import FileCheckException diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py index 361e957f2c..175f52adef 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py @@ -17,8 +17,8 @@ def compare_cli_ms(args): ms_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: - kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} - compare_distributed(npu_path, bench_path, args.output_path, **kwargs) + logger.error('This function is not supported at this time.') + raise Exception("Mindspore Unsupport function compare_distributed.") else: logger.error("The npu_path and bench_path need to be of the same type.") raise CompareException(CompareException.INVALID_COMPARE_MODE) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 34d37b4fe1..267aabff63 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -12,7 +12,7 @@ from msprobe.core.common.file_check import FileChecker, FileOpen, create_directo from msprobe.core.common.const import CompareConst, FileCheckConst from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op -from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 75bc9d4f34..a43b2c2a1a 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -12,7 +12,7 @@ from msprobe.core.common.file_check import FileChecker, FileOpen, create_directo from msprobe.core.common.const import CompareConst, FileCheckConst from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op -from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger -- Gitee From 5cb77eae5b483c807b2abeac11f1fab77f509de0 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 7 Aug 2024 15:53:36 +0800 Subject: [PATCH 081/160] =?UTF-8?q?=E8=B0=83=E6=95=B4=E5=87=BD=E6=95=B0?= =?UTF-8?q?=E9=97=B4=E7=A9=BA=E8=A1=8C=EF=BC=8C=E7=A9=BA=E6=A0=BC=E6=95=B0?= =?UTF-8?q?=E9=87=8F=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/Multiprocessing_compute.py | 8 +++++--- debug/accuracy_tools/msprobe/core/compare/acc_compare.py | 2 ++ debug/accuracy_tools/msprobe/core/compare/check.py | 4 +++- debug/accuracy_tools/msprobe/core/compare/highlight.py | 5 +++-- debug/accuracy_tools/msprobe/core/compare/match.py | 2 ++ debug/accuracy_tools/msprobe/core/compare/utils.py | 6 ++++-- .../msprobe/mindspore/compare/compare_cli.py | 1 - .../msprobe/mindspore/compare/distributed_compare.py | 1 + .../msprobe/mindspore/compare/ms_compare.py | 5 +++++ .../msprobe/pytorch/compare/distributed_compare.py | 2 ++ .../accuracy_tools/msprobe/pytorch/compare/pt_compare.py | 4 ++++ 11 files changed, 31 insertions(+), 9 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py index 9d8e9744ec..20e3c1d0c7 100644 --- a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py +++ b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py @@ -3,8 +3,8 @@ import multiprocessing import pandas as pd from dataclasses import dataclass from msprobe.core.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.const import CompareConst +from msprobe.core.common.utils import CompareException +from msprobe.core.common.const import CompareConst def _handle_multi_process(func, input_parma, result_df, lock): @@ -38,6 +38,7 @@ def _handle_multi_process(func, input_parma, result_df, lock): pool.join() return pd.concat(final_results, ignore_index=True) + def read_dump_data(result_df): try: npu_dump_name_list = result_df.iloc[0:, 0].tolist() @@ -55,7 +56,6 @@ def read_dump_data(result_df): logger.error('result dataframe elements can not be access.') raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - @dataclass class ComparisonResult: cos_result: list @@ -65,6 +65,7 @@ class ComparisonResult: one_thousand_err_ratio_result: list five_thousand_err_ratio_result: list + def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): """ Save comparison results into the result DataFrame with thread safety. @@ -99,6 +100,7 @@ def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): finally: lock.release() + def check_accuracy(cos, max_abs_err): if cos == CompareConst.SHAPE_UNMATCH: return CompareConst.ACCURACY_CHECK_UNMATCH diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 240c18f1fb..1d11f120b7 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -9,6 +9,7 @@ class Comparator: def __init__(self): pass + def match_op(self,npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): if check_op(npu_queue[-1], b_op, fuzzy_match): @@ -20,6 +21,7 @@ class Comparator: return n_index, len(bench_queue) - 1 return -1, -1 + def compare_by_op(self,op_name, op_name_mapping_dict, input_parma): npu_bench_name_list = op_name_mapping_dict[op_name] data_name = npu_bench_name_list[1] diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py index a8ee3638a2..97ddc26cd0 100644 --- a/debug/accuracy_tools/msprobe/core/compare/check.py +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -3,7 +3,6 @@ from msprobe.core.common.log import logger from msprobe.core.compare.utils import rename_api - def check_struct_match(npu_dict, bench_dict): npu_struct_in = npu_dict.get("input_struct") bench_struct_in = bench_dict.get("input_struct") @@ -18,6 +17,7 @@ def check_struct_match(npu_dict, bench_dict): is_match = struct_in_is_match and struct_out_is_match return is_match + def check_type_shape_match(npu_struct, bench_struct): shape_type_match = False for npu_type_shape, bench_type_shape in zip(npu_struct, bench_struct): @@ -38,6 +38,7 @@ def check_type_shape_match(npu_struct, bench_struct): return False return shape_type_match + def check_graph_mode(a_op_name, b_op_name): if "Aten" in a_op_name and "Aten" not in b_op_name: return True @@ -75,6 +76,7 @@ def fuzzy_check_op(npu_name_list, bench_name_list): break return is_match + def fuzzy_check_name(npu_name, bench_name): if "forward" in npu_name and "forward" in bench_name: is_match = rename_api(npu_name, "forward") == rename_api(bench_name, "forward") diff --git a/debug/accuracy_tools/msprobe/core/compare/highlight.py b/debug/accuracy_tools/msprobe/core/compare/highlight.py index 17dee2f500..21cab08398 100644 --- a/debug/accuracy_tools/msprobe/core/compare/highlight.py +++ b/debug/accuracy_tools/msprobe/core/compare/highlight.py @@ -9,8 +9,8 @@ from msprobe.core.common.utils import get_header_index from msprobe.core.common.const import CompareConst from msprobe.core.common.log import logger from msprobe.core.common.utils import CompareException -from msprobe.core.common.file_check import change_mode -from msprobe.core.common.const import CompareConst, FileCheckConst +from msprobe.core.common.file_check import change_mode +from msprobe.core.common.const import CompareConst, FileCheckConst class HighlightCheck(abc.ABC): @@ -166,6 +166,7 @@ def get_name_and_state(name): state = "output" return api_name, state + def find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare): """将dataframe根据API分组，并找到有误差的算子用于高亮""" result = result_df.values diff --git a/debug/accuracy_tools/msprobe/core/compare/match.py b/debug/accuracy_tools/msprobe/core/compare/match.py index 6347d8887c..acab425852 100644 --- a/debug/accuracy_tools/msprobe/core/compare/match.py +++ b/debug/accuracy_tools/msprobe/core/compare/match.py @@ -11,12 +11,14 @@ class AtenIrMapping(): with FileOpen(yaml_path, 'r') as f: self.aten_mapping = yaml.safe_load(f) + def match(self, op1, op2): if "Aten" in op1 and "Aten" not in op2: return self.match_op(op1, op2) else: return self.match_op(op2, op1) + def match_op(self, aten_op, torch_op): try: aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index de4047fd9c..55c1abd41b 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -4,8 +4,6 @@ import numpy as np from msprobe.core.common.const import Const, CompareConst - - def rename_api(npu_name, process): npu_split = npu_name.split(process) torch_func_index, in_out = npu_split[0], npu_split[1] @@ -13,6 +11,7 @@ def rename_api(npu_name, process): torch_func = str(torch_func_split[0]) + str(in_out) return torch_func + def read_op(op_data, op_name): op_parsed_list = [] if 'forward' in op_name: @@ -50,6 +49,7 @@ def read_op(op_data, op_name): output_parsed_list.clear() return op_parsed_list + def op_item_parse(item, op_name, index, item_list=None, top_bool=True): if item_list is None: item_list = [] @@ -121,6 +121,7 @@ def op_item_parse(item, op_name, index, item_list=None, top_bool=True): op_item_parse(item_spec, full_op_name, j, item_list=item_list, top_bool=False) return item_list + def resolve_api_special_parameters(data_dict, full_op_name, item_list): """ Function Description: @@ -269,6 +270,7 @@ def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=Fals get_accuracy_core(n_num_input, n_num_kwarg, b_num_input, b_num_kwarg, "kwargs_struct") get_accuracy_core(n_num_input + n_num_kwarg, n_num_output, b_num_input + b_num_kwarg, b_num_output, 'output_struct') + def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): index_out = 0 npu_stack_info = n_dict.get("stack_info", None) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py index 175f52adef..368a953108 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py @@ -4,7 +4,6 @@ from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import ms_compare -from msprobe.mindspore.compare.distributed_compare import compare_distributed def compare_cli_ms(args): diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index cab07daec2..0973e7ffe8 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -24,6 +24,7 @@ from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import MSComparator + def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): def check_and_return_dir_contents(dump_dir, prefix): """ diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 267aabff63..b8f29745a5 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -72,6 +72,7 @@ class MSComparator (Comparator): merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) return merge_list + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles npu_json_data = json.load(npu_json_handle) @@ -136,6 +137,7 @@ class MSComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df + def make_result_table(self,result,md5_compare,summary_compare,stack_mode): header = [] if md5_compare: @@ -163,6 +165,7 @@ class MSComparator (Comparator): result_df = pd.DataFrame(result, columns=header) return result_df + def _do_multi_process(self,input_parma, result_df): try: result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) @@ -171,6 +174,7 @@ class MSComparator (Comparator): logger.error('result dataframe is not found.') raise CompareException(CompareException.INVALID_DATA_ERROR) from e + def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -182,6 +186,7 @@ class MSComparator (Comparator): return data_value + def compare_core(self,input_parma, output_path, **kwargs): """ Compares data from multiple JSON files and generates a comparison report. diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index aeea949457..f4596ba49d 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -24,6 +24,7 @@ from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.pytorch.compare.pt_compare import PTComparator + def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): def check_and_return_dir_contents(dump_dir, prefix): """ @@ -54,6 +55,7 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): raise CompareException(CompareException.INVALID_PATH_ERROR) return contents + def extract_json(dirname, stack_json=False): json_path = '' for fname in os.listdir(dirname): diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index a43b2c2a1a..fe2d4fd76f 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -18,6 +18,7 @@ from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger from msprobe.core.common.exceptions import FileCheckException + class PTComparator (Comparator): def __init__(self): super().__init__() @@ -138,6 +139,7 @@ class PTComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df + def make_result_table(self,result,md5_compare,summary_compare,stack_mode): header = [] if md5_compare: @@ -165,6 +167,7 @@ class PTComparator (Comparator): result_df = pd.DataFrame(result, columns=header) return result_df + def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -185,6 +188,7 @@ class PTComparator (Comparator): logger.error('result dataframe is not found.') raise CompareException(CompareException.INVALID_DATA_ERROR) from e + def compare_core(self,input_parma, output_path, **kwargs): """ Compares data from multiple JSON files and generates a comparison report. -- Gitee From 0236e1f6af51262858c4cf1c1a457592014da5a6 Mon Sep 17 00:00:00 2001 From: yangxinxian <947098055@qq.com> Date: Wed, 7 Aug 2024 16:06:52 +0800 Subject: [PATCH 082/160] primitive op dump --- .../msprobe/core/common/const.py | 1 + .../msprobe/core/data_dump/data_collector.py | 16 ++ .../core/data_dump/data_processor/base.py | 40 +++++ .../data_processor/mindspore_processor.py | 5 +- .../mindspore/debugger/precision_debugger.py | 4 +- .../msprobe/mindspore/doc/dump.md | 12 +- .../msprobe/mindspore/service.py | 152 +++++++++++++++++- .../test/mindspore_ut/test_primitive_dump.py | 82 ++++++++++ 8 files changed, 304 insertions(+), 8 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index 35946ca7c0..929686920e 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -16,6 +16,7 @@ class Const: OFF = 'OFF' BACKWARD = 'backward' FORWARD = 'forward' + PRIMITIVE_PREFIX = 'Primitive' DEFAULT_LIST = [] DEFAULT_PATH = './' WHITE_LIST = 'white_list' diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py b/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py index db437539af..7acc607f19 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py @@ -106,6 +106,22 @@ class DataCollector: raise Exception("[msprobe] exit") self.handle_data(name, data_info) + def backward_input_data_collect(self, name, module, pid, module_input_output): + self.update_construct(name) + if not self.check_scope_and_pid(self.scope, name, pid): + return + + data_info = self.data_processor.analyze_backward_input(name, module, module_input_output) + self.handle_data(name, data_info) + + def backward_output_data_collect(self, name, module, pid, module_input_output): + self.update_construct(name) + if not self.check_scope_and_pid(self.scope, name, pid): + return + + data_info = self.data_processor.analyze_backward_output(name, module, module_input_output) + self.handle_data(name, data_info) + def update_construct(self, name): if self.config.level not in DataCollector.level_without_construct: self.data_writer.update_construct({name: self.module_processor.api_parent_node}) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index 2fbc86b565..fcb522d117 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -41,6 +41,24 @@ class ModuleBackwardInputsOutputs: return convert_tuple(self.grad_output) +@dataclass +class ModuleBackwardInputs: + grad_input: Optional[Tuple] + + @property + def grad_input_tuple(self): + return convert_tuple(self.grad_input) + + +@dataclass +class ModuleBackwardOutputs: + grad_output: Optional[Tuple] + + @property + def grad_output_tuple(self): + return convert_tuple(self.grad_output) + + class TensorStatInfo: def __init__(self, max_val=None, min_val=None, mean_val=None, norm_val=None): self.max = max_val @@ -228,6 +246,28 @@ class BaseDataProcessor: return api_info_struct + def analyze_backward_input(self, name, module, + module_input_output: ModuleBackwardInputs): + api_info_struct = {} + if self.is_dump_for_data_mode(Const.BACKWARD, Const.INPUT): + api_info_struct[name] = {} + self.api_data_category = Const.INPUT + + input_info_list = self.analyze_element(module_input_output.grad_input_tuple) + api_info_struct[name][Const.INPUT] = input_info_list + return api_info_struct + + def analyze_backward_output(self, name, module, + module_input_output: ModuleBackwardOutputs): + api_info_struct = {} + if self.is_dump_for_data_mode(Const.BACKWARD, Const.OUTPUT): + api_info_struct[name] = {} + self.api_data_category = Const.OUTPUT + + output_info_list = self.analyze_element(module_input_output.grad_output_tuple) + api_info_struct[name][Const.OUTPUT] = output_info_list + return api_info_struct + def get_save_file_path(self, suffix): file_format = Const.PT_SUFFIX if self.config.framework == Const.PT_FRAMEWORK else Const.NUMPY_SUFFIX dump_data_name = (self.current_api_or_module_name + Const.SEP + self.api_data_category + Const.SEP + diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index c208df7d90..b28817e4aa 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -74,8 +74,9 @@ class MindsporeDataProcessor(BaseDataProcessor): if data.numel() == 0: return tensor_stat elif data.dtype == ms.bool_: - tensor_stat.max = self.mint_ops_func["max"](data).item() - tensor_stat.min = self.mint_ops_func["min"](data).item() + data_np = data.asnumpy() + tensor_stat.max = np.max(data_np) + tensor_stat.min = np.min(data_np) elif not data.shape: tensor_stat.max = tensor_stat.min = tensor_stat.mean = tensor_stat.norm = data.item() elif data.dtype == ms.complex64 or data.dtype == ms.complex128: diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py index 5475dc3586..40b44c57ec 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py @@ -41,7 +41,7 @@ class PrecisionDebugger: return MsConst.PYNATIVE_MODE @classmethod - def start(cls): + def start(cls, target=None): instance = cls._instance if not instance: raise Exception("No instance of PrecisionDebugger found.") @@ -50,7 +50,7 @@ class PrecisionDebugger: if instance.config.execution_mode == MsConst.PYNATIVE_MODE and instance.config.level == MsConst.API: if not instance.service: instance.service = Service(instance.config) - instance.service.start() + instance.service.start(target) else: if not instance.first_start: handler = TaskHandlerFactory.create(instance.config) diff --git a/debug/accuracy_tools/msprobe/mindspore/doc/dump.md b/debug/accuracy_tools/msprobe/mindspore/doc/dump.md index 425d0683a2..ef2431b9c1 100644 --- a/debug/accuracy_tools/msprobe/mindspore/doc/dump.md +++ b/debug/accuracy_tools/msprobe/mindspore/doc/dump.md @@ -35,10 +35,18 @@ PrecisionDebugger(config_path=None) **原型** ```Python -debugger.start() +debugger.start(model = None) ``` -该函数为类函数，可以使用debugger.start()也可以使用PrecisionDebugger.start()。 +该函数为类函数，可以使用debugger.start(model = None)也可以使用PrecisionDebugger.start(model = None) + + +**参数说明** + +| 参数名 | 说明 | 是否必选 | +| ----------- |---------------------------------------------------------------------------------------| -------- | +| model | 指具体的mindspore.nn.Cell，默认未配置，L1级别下传入model可以使能对primitive op的dump，否则无法dump primitive op。 | 否 | + ## 示例代码 diff --git a/debug/accuracy_tools/msprobe/mindspore/service.py b/debug/accuracy_tools/msprobe/mindspore/service.py index 50776aaf10..4c2a4ef693 100644 --- a/debug/accuracy_tools/msprobe/mindspore/service.py +++ b/debug/accuracy_tools/msprobe/mindspore/service.py @@ -19,6 +19,9 @@ from pathlib import Path import functools from collections import defaultdict +from mindspore.common.tensor import Tensor +from mindspore import ops +from mindspore import nn from msprobe.core.data_dump.data_collector import build_data_collector from msprobe.core.data_dump.scope import BaseScope from msprobe.mindspore.common.utils import get_rank_if_initialized @@ -27,7 +30,9 @@ from msprobe.mindspore.common.log import logger from msprobe.core.common.utils import Const from msprobe.core.common.exceptions import DistributedNotInitializedError from msprobe.mindspore.dump.hook_cell.api_registry import api_register -from msprobe.core.data_dump.data_processor.base import ModuleForwardInputsOutputs, ModuleBackwardInputsOutputs +from msprobe.core.data_dump.data_processor.base import ModuleBackwardInputsOutputs, ModuleForwardInputsOutputs,\ + ModuleBackwardInputs, ModuleBackwardOutputs +from msprobe.core.common.exceptions import MsprobeException from msprobe.mindspore.dump.hook_cell.hook_cell import HOOKCell @@ -41,9 +46,18 @@ class Service: self.current_iter = 0 self.first_start = True self.current_rank = None + self.primitive_counters = {} self.dump_iter_dir = None self.start_call = False + @staticmethod + def check_model_valid(model): + if not model or isinstance(model, nn.Cell): + return model + raise MsprobeException( + MsprobeException.INVALID_PARAM_ERROR, "model 参数必须是 mindspore.nn.Cell 类型。" + ) + def build_hook(self, module_type, name): def forward_hook(api_or_module_name, module, input, output): self.data_collector.visit_and_clear_overflow_status(api_or_module_name) @@ -79,13 +93,145 @@ class Service: return wrap_forward_hook, wrap_backward_hook + + def wrap_primitive(self, origin_func, primitive_name): + service_instance = self + + def create_backward_hook(captured_grads, num_tensors, updated_primitive_name, hook_type): + def backward_hook(grad): + captured_grads.append(grad) + backward_primitive_name = f"{updated_primitive_name}.{Const.BACKWARD}" + try: + if len(captured_grads) == num_tensors and hook_type == Const.INPUT: + service_instance.data_collector.visit_and_clear_overflow_status(backward_primitive_name) + new_module_input_output = ModuleBackwardOutputs(grad_output=tuple(captured_grads)) + service_instance.data_collector.backward_output_data_collect( + backward_primitive_name, service_instance, os.getpid(), new_module_input_output + ) + captured_grads.clear() + elif len(captured_grads) == num_tensors and hook_type == Const.OUTPUT: + service_instance.data_collector.visit_and_clear_overflow_status(backward_primitive_name) + new_module_input_output = ModuleBackwardInputs(grad_input=tuple(captured_grads)) + service_instance.data_collector.backward_input_data_collect( + backward_primitive_name, service_instance, os.getpid(), new_module_input_output + ) + captured_grads.clear() + + except Exception as exception: + raise Exception( + "This is a primitive op {hook_type}_backward dump error: {exception}," + " updated_primitive_name: {updated_primitive_name}".format( + hook_type=hook_type, exception=exception, backward_primitive_name=backward_primitive_name + ) + ) from exception + + return backward_hook + + def hook_primitive_inputs(args, captured_grads_input, updated_primitive_name): + hooked_inputs = [] + num_tensors = sum(isinstance(arg, Tensor) for arg in args) + input_backward_hook = create_backward_hook(captured_grads_input, num_tensors, updated_primitive_name, + Const.INPUT) + for _, arg in enumerate(args): + if isinstance(arg, Tensor): + arg_hooked = ops.HookBackward(input_backward_hook)(arg) + hooked_inputs.append(arg_hooked) + else: + hooked_inputs.append(arg) + return hooked_inputs + + def hook_primitive_outputs(out, captured_grads_output, updated_primitive_name): + if isinstance(out, tuple): + num_output_tensors = sum(isinstance(tensor, Tensor) for tensor in out) + else: + num_output_tensors = 1 + output_backward_hook = create_backward_hook(captured_grads_output, num_output_tensors, + updated_primitive_name, Const.OUTPUT) + + if isinstance(out, Tensor): + return ops.HookBackward(output_backward_hook)(out) + elif isinstance(out, tuple): + hooked_outputs = [] + for tensor in out: + if isinstance(tensor, Tensor): + hooked_outputs.append(ops.HookBackward(output_backward_hook)(tensor)) + else: + hooked_outputs.append(tensor) + return tuple(hooked_outputs) + return out + + def wrapped_primitive_call(instance_self, *args, **kwargs): + service_instance.update_primitive_counters(primitive_name) + current_count = service_instance.primitive_counters.get(primitive_name, 0) + updated_primitive_name = f"{Const.PRIMITIVE_PREFIX}.{primitive_name}.{current_count}" + + if not service_instance.switch: + return origin_func(*args, **kwargs) + + captured_grads_input, captured_grads_output = [], [] + + try: + hooked_inputs = hook_primitive_inputs(args, captured_grads_input, updated_primitive_name) + except Exception as exception: + raise Exception("This is a primitive op dump error during input hooking: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + try: + out = origin_func(*hooked_inputs, **kwargs) + except Exception as exception: + raise Exception("This is a primitive op dump error during function call: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + forward_primitive_name = f"{updated_primitive_name}.{Const.FORWARD}" + service_instance.data_collector.visit_and_clear_overflow_status(forward_primitive_name) + if service_instance.data_collector: + module_input_output = ModuleForwardInputsOutputs(args=hooked_inputs, kwargs=kwargs, output=out) + try: + service_instance.data_collector.forward_data_collect(forward_primitive_name, instance_self, + os.getpid(), module_input_output) + except Exception as exception: + raise Exception("This is a primitive op dump error during forward data collection: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + if service_instance.data_collector.if_return_forward_new_output(): + out = service_instance.data_collector.get_forward_new_output() + + try: + out = hook_primitive_outputs(out, captured_grads_output, updated_primitive_name) + except Exception as exception: + raise Exception("This is a primitive op dump error during output hooking: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + return out + + return wrapped_primitive_call + + def update_primitive_counters(self, primitive_name): + if primitive_name not in self.primitive_counters: + self.primitive_counters[primitive_name] = 0 + else: + self.primitive_counters[primitive_name] += 1 + + def register_hooks(self): + primitive_set = set() + for _, cell in self.model.cells_and_names(): + for pname, primitive in cell._primitives.items(): + primitive_set.add((pname, primitive)) + + for pname, primitive in primitive_set: + NewPrimitive = type('NewPrimitive', (primitive.__class__,), + {'__call__': self.wrap_primitive(primitive.__call__, pname)}) + primitive.__class__ = NewPrimitive + + def step(self): self.current_iter += 1 self.data_collector.update_iter(self.current_iter) HOOKCell.cell_count = defaultdict(int) + self.primitive_counters.clear() def start(self, model=None): - self.model = model + self.model = Service.check_model_valid(model) self.start_call = True logger.info("msprobe: debugger.start() is set successfully") if self.config.step and self.current_iter > max(self.config.step): @@ -150,3 +296,5 @@ class Service: if self.config.level == "L1": api_register.initialize_hook(functools.partial(self.build_hook, BaseScope.Module_Type_API)) api_register.api_set_hook_func() + if self.model: + self.register_hooks() \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py new file mode 100644 index 0000000000..25189a9b65 --- /dev/null +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py @@ -0,0 +1,82 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import os + +import unittest +from unittest.mock import Mock, patch +import copy +from msprobe.core.common.utils import Const +from msprobe.mindspore.service import Service +import mindspore +from mindspore.common.tensor import Tensor +from mindspore import ops +from mindspore import nn +from msprobe.core.common.exceptions import MsprobeException +from msprobe.core.common_config import CommonConfig, BaseConfig +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from unittest.mock import MagicMock +import numpy as np + + +class DummyModel(nn.Cell): + def __init__(self): + super(DummyModel, self).__init__() + self.dense = nn.Dense(2, 2) + + def construct(self, x): + return self.dense(x) +class TestService(unittest.TestCase): + def setUp(self): + json_config = { + "task": "statistics", + "dump_path": "/absolute_path", + "rank": [], + "step": [0, 2], + "level": "L1" + } + + common_config = CommonConfig(json_config) + task_config = BaseConfig(json_config) + config = DebuggerConfig(common_config, task_config) + self.service = Service(config) + self.service.model = Mock() + self.service.data_collector = Mock() + self.service.switch = True # Make sure the switch is on for testing + + def test_check_model_valid_none(self): + model = None + self.assertIsNone(self.service.check_model_valid(model)) + + def test_check_model_valid_valid_model(self): + model = DummyModel() + self.assertEqual(self.service.check_model_valid(model), model) + + def test_check_model_valid_invalid_model(self): + model = "invalid_model" + with self.assertRaises(MsprobeException) as context: + self.service.check_model_valid(model) + + # For the purpose of the test, let's also verify the expected exception message + expected_message = "[msprobe] 无效参数： model 参数必须是 mindspore.nn.Cell 类型。" + self.assertEqual(str(context.exception), expected_message) + + def test_update_primitive_counters(self): + primitive_name = "test_primitive" + self.service.update_primitive_counters(primitive_name) + self.assertEqual(self.service.primitive_counters[primitive_name], 0) + self.service.update_primitive_counters(primitive_name) + self.assertEqual(self.service.primitive_counters[primitive_name], 1) -- Gitee From 26c95c1f488917e7148d8a0f13a756863fe2a654 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 16:11:39 +0800 Subject: [PATCH 083/160] =?UTF-8?q?=E4=BD=BF=E7=94=A8construct.json?= =?UTF-8?q?=E4=B8=AD=E7=9A=84=E5=8F=8D=E5=90=91=E6=98=A0=E5=B0=84=E5=85=B3?= =?UTF-8?q?=E7=B3=BB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/module_processer.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/module_processer.py b/debug/accuracy_tools/msprobe/pytorch/module_processer.py index 688c0b8c5b..cd91eedc09 100644 --- a/debug/accuracy_tools/msprobe/pytorch/module_processer.py +++ b/debug/accuracy_tools/msprobe/pytorch/module_processer.py @@ -116,7 +116,9 @@ class ModuleProcesser: index = None pass module.mindstudio_reserved_name = full_name = name_prefix + Const.SEP + str(index) - ModuleProcesser.module_node[full_name] = None + forward_full_name = full_name.replace(Const.BACKWARD, Const.FORWARD) + ModuleProcesser.module_node[full_name] = ModuleProcesser.module_node[forward_full_name].replace( + Const.FORWARD, Const.BACKWARD) if ModuleProcesser.module_node[forward_full_name] else None ModuleProcesser.api_parent_node = None if self.scope: self.scope.begin_module(full_name) -- Gitee From 588c50d542733d935db96713f24ae6ac65f4112f Mon Sep 17 00:00:00 2001 From: pxp1 <958876660@qq.com> Date: Wed, 7 Aug 2024 11:06:00 +0800 Subject: [PATCH 084/160] =?UTF-8?q?mindspore=E4=BE=A7=E6=A2=AF=E5=BA=A6?= =?UTF-8?q?=E5=B7=A5=E5=85=B7=E6=90=AC=E8=BF=81=E8=87=B3msprobe?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../accuracy_tools/msprobe/config/config.json | 7 +- .../msprobe/core/common/utils.py | 24 +- .../msprobe/core/grad_probe/constant.py | 19 +- .../msprobe/core/grad_probe/grad_compare.py | 9 +- .../msprobe/core/grad_probe/utils.py | 43 ++++ .../mindspore/debugger/precision_debugger.py | 29 ++- .../msprobe/mindspore/grad_probe/__init__.py | 0 .../mindspore/grad_probe/global_context.py | 91 +++++++ .../mindspore/grad_probe/grad_analyzer.py | 231 ++++++++++++++++++ .../mindspore/grad_probe/grad_monitor.py | 27 ++ .../mindspore/grad_probe/grad_stat_csv.py | 132 ++++++++++ .../msprobe/mindspore/grad_probe/hook.py | 92 +++++++ .../msprobe/mindspore/grad_probe/utils.py | 29 +++ .../msprobe/mindspore/ms_config.py | 9 +- .../pytorch/debugger/precision_debugger.py | 10 +- .../pytorch/grad_probe/grad_monitor.py | 49 ++-- .../pytorch/grad_probe/grad_stat_csv.py | 14 +- .../msprobe/pytorch/pt_config.py | 4 +- .../pytorch_ut/grad_probe/test_grad_csv.py | 13 +- .../grad_probe/test_grad_monitor.py | 22 +- 20 files changed, 782 insertions(+), 72 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py diff --git a/debug/accuracy_tools/msprobe/config/config.json b/debug/accuracy_tools/msprobe/config/config.json index 8603771f8b..bc9789a38e 100644 --- a/debug/accuracy_tools/msprobe/config/config.json +++ b/debug/accuracy_tools/msprobe/config/config.json @@ -31,12 +31,9 @@ "error_data_path": "./" }, "grad_probe": { - "level": "L1", + "grad_level": "L1", "param_list": [], - "rank": [], - "step": [], - "bounds": [-1, 0, 1], - "output_path": "./grad_output" + "bounds": [-1, 0, 1] }, "free_benchmark": { "scope": [], diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index cde65dd0e4..7a34a24118 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -27,7 +27,7 @@ from datetime import datetime, timezone from pathlib import Path import numpy as np -from msprobe.core.common.file_check import FileOpen, FileChecker +from msprobe.core.common.file_check import FileOpen, FileChecker, change_mode from msprobe.core.common.const import Const, FileCheckConst, CompareConst, OverflowConst from msprobe.core.common.log import logger @@ -258,6 +258,17 @@ def remove_path(path): raise CompareException(CompareException.INVALID_PATH_ERROR) from err +def move_file(src_path, dst_path): + check_file_or_directory_path(src_path) + check_path_before_create(dst_path) + try: + shutil.move(src_path, dst_path) + except Exception as e: + logger.error(f"move file {src_path} to {dst_path} failed") + raise RuntimeError(f"move file {src_path} to {dst_path} failed") from e + change_mode(dst_path, FileCheckConst.DATA_FILE_AUTHORITY) + + def get_dump_data_path(dump_dir): """ Function Description: @@ -515,10 +526,19 @@ def write_csv(data, filepath): def load_npy(filepath): - filepath = os.path.realpath(filepath) check_file_or_directory_path(filepath) try: npy = np.load(filepath) except Exception as e: raise RuntimeError(f"load npy file {filepath} failed") from e return npy + + +def save_npy(data, filepath): + filepath = os.path.realpath(filepath) + check_path_before_create(filepath) + try: + npy = np.save(filepath, data) + except Exception as e: + raise RuntimeError(f"save npy file {filepath} failed") from e + change_mode(filepath, FileCheckConst.DATA_FILE_AUTHORITY) diff --git a/debug/accuracy_tools/msprobe/core/grad_probe/constant.py b/debug/accuracy_tools/msprobe/core/grad_probe/constant.py index 38d33e9886..189ec2d11b 100644 --- a/debug/accuracy_tools/msprobe/core/grad_probe/constant.py +++ b/debug/accuracy_tools/msprobe/core/grad_probe/constant.py @@ -39,7 +39,7 @@ class GradConst: DIRECTORY_LENGTH = 4096 FILE_NAME_LENGTH = 255 FILE_VALID_PATTERN = r"^[a-zA-Z0-9_.:/-]+$" - PARAM_VALID_PATTERN = r"^[a-zA-Z0-9.]+$" + PARAM_VALID_PATTERN = r"^[a-zA-Z0-9_.]+$" DIR = "dir" FILE = "file" @@ -53,4 +53,19 @@ class GradConst: SHAPE = "shape" MAX = "max" MIN = "min" - NORM = "norm" \ No newline at end of file + NORM = "norm" + +level_adp = { + "L0": { + "header": [GradConst.MD5, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], + "have_grad_direction": False + }, + "L1": { + "header": [GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], + "have_grad_direction": True + }, + "L2": { + "header": [GradConst.DISTRIBUTION, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], + "have_grad_direction": True + }, + } \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py b/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py index 26cba34f07..22acdf2fbe 100644 --- a/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py +++ b/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py @@ -10,7 +10,6 @@ from msprobe.core.common.file_check import create_directory from msprobe.core.common.log import logger from msprobe.core.common.utils import remove_path, write_csv, load_npy from msprobe.core.grad_probe.constant import GradConst -from msprobe.pytorch.common.utils import load_pt class GradComparator: @@ -163,12 +162,8 @@ class GradComparator: @classmethod def _load_grad_files(cls, grad_file1: str, grad_file2: str): - if grad_file1.endswith('pt'): - grad1 = load_pt(grad_file1).numpy() - grad2 = load_pt(grad_file2).numpy() - else: - grad1 = load_npy(grad_file1) - grad2 = load_npy(grad_file2) + grad1 = load_npy(grad_file1) + grad2 = load_npy(grad_file2) if grad1.shape != grad2.shape: raise RuntimeError(f"tensor shape is not equal: {grad_file1}, {grad_file2}") if grad1.dtype != bool: diff --git a/debug/accuracy_tools/msprobe/core/grad_probe/utils.py b/debug/accuracy_tools/msprobe/core/grad_probe/utils.py index 05dd9a568e..f5db74baaf 100644 --- a/debug/accuracy_tools/msprobe/core/grad_probe/utils.py +++ b/debug/accuracy_tools/msprobe/core/grad_probe/utils.py @@ -1,3 +1,8 @@ +import re +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger +from msprobe.core.common.utils import write_csv + def data_in_list_target(data, lst): return not lst or len(lst) == 0 or data in lst @@ -7,3 +12,41 @@ def check_numeral_list_ascend(lst): raise Exception("The input list should only contain numbers") if lst != sorted(lst): raise Exception("The input list should be ascending") + + +def check_param(param_name): + if not re.match(GradConst.PARAM_VALID_PATTERN, param_name): + raise RuntimeError("The parameter name contains special characters.") + + +def check_str(string, variable_name): + if not isinstance(string, str): + raise ValueError(f'The variable: "{variable_name}" is not a string.') + + +class ListCache(list): + threshold = 1000 + + def __init__(self, *args): + super().__init__(*args) + self._output_file = None + + def __del__(self): + self.flush() + + def flush(self): + if len(self) == 0: + return + if not self._output_file: + logger.warning("dumpfile path is not setted") + write_csv(self, self._output_file) + logger.info(f"write {len(self)} items to {self._output_file}.") + self.clear() + + def append(self, data): + list.append(self, data) + if len(self) >= ListCache.threshold: + self.flush() + + def set_output_file(self, output_file): + self._output_file = output_file diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py index 6ef1966bc2..957af56435 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py @@ -10,11 +10,14 @@ from msprobe.core.common.const import Const from msprobe.mindspore.common.const import Const as MsConst from msprobe.mindspore.runtime import Runtime +from msprobe.mindspore.grad_probe.grad_monitor import GradientMonitor + class PrecisionDebugger: _instance = None + task_not_need_service = [Const.GRAD_PROBE] - def __new__(cls, config_path=None): + def __new__(cls, config_path=None, opt=None): if not cls._instance: cls._instance = super().__new__(cls) cls._instance.initialized = False @@ -26,11 +29,16 @@ class PrecisionDebugger: def __init__(self, config_path=None): if self.initialized: return + self.initialized = True if not config_path: config_path = os.path.join(os.path.dirname(__file__), "../../config/config.json") common_config, task_config = parse_json_config(config_path) + self.task = common_config.task + if self.task == Const.GRAD_PROBE: + self.gm = GradientMonitor(common_config, task_config) + return self.config = DebuggerConfig(common_config, task_config) - self.initialized = True + Runtime.step_count = 0 Runtime.is_running = False @@ -49,6 +57,8 @@ class PrecisionDebugger: instance = cls._instance if not instance: raise Exception("No instance of PrecisionDebugger found.") + if instance.task in PrecisionDebugger.task_not_need_service: + return instance.config.execution_mode = instance._get_execution_mode() if instance.config.execution_mode == MsConst.PYNATIVE_MODE and instance.config.level == MsConst.API and \ @@ -69,6 +79,10 @@ class PrecisionDebugger: instance = cls._instance if not instance: raise Exception("PrecisionDebugger instance is not created.") + if instance.task == Const.GRAD_PROBE: + instance.gm.stop() + if instance.task in PrecisionDebugger.task_not_need_service: + return if instance.service: instance.service.stop() Runtime.is_running = False @@ -78,6 +92,17 @@ class PrecisionDebugger: instance = cls._instance if not instance: raise Exception("PrecisionDebugger instance is not created.") + if instance.task in PrecisionDebugger.task_not_need_service: + return if instance.service: instance.service.step() Runtime.step_count += 1 + + @classmethod + def monitor(cls, opt): + instance = cls._instance + if not instance: + raise Exception("PrecisionDebugger instance is not created.") + if instance.task != Const.GRAD_PROBE: + return + instance.gm.monitor(opt) diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/__init__.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py new file mode 100644 index 0000000000..16d0bd0b86 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py @@ -0,0 +1,91 @@ +import os +import threading +from typing import Dict, Union + +from msprobe.core.grad_probe.utils import check_str +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger +from msprobe.core.common.file_check import create_directory +from msprobe.core.common.utils import check_path_before_create + + +class GlobalContext: + + _instance = None + _instance_lock = threading.Lock() + _setting = { + GradConst.LEVEL: None, + GradConst.PARAM_LIST: None, + GradConst.STEP: None, + GradConst.RANK: None, + GradConst.CURRENT_STEP: 0, + GradConst.BOUNDS: [-10, -1, -0.1, -0.01, -0.001, 0, 0.001, 0.01, 0.1, 1, 10], + GradConst.OUTPUT_PATH: None + } + + def __new__(cls, *args, **kwargs): + if cls._instance is None: + cls._instance_lock.acquire() + cls._instance = object.__new__(cls) + cls._instance_lock.release() + return cls._instance + + def init_context(self, config_dict: Dict): + level = config_dict.get(GradConst.LEVEL) + check_str(level, variable_name = "level in yaml") + if level in GradConst.SUPPORTED_LEVEL: + self._setting[GradConst.LEVEL] = config_dict.get(GradConst.LEVEL) + else: + raise ValueError("Invalid level set in config yaml file, level option: L0, L1, L2") + + self._set_input_list(config_dict, GradConst.PARAM_LIST, str) + self._set_input_list(config_dict, GradConst.BOUNDS, float) + self._set_input_list(config_dict, GradConst.STEP, int) + self._set_input_list(config_dict, GradConst.RANK, int) + + output_path = config_dict.get(GradConst.OUTPUT_PATH) + check_str(output_path, variable_name = "output_path in yaml") + try: + check_path_before_create(output_path) + except RuntimeError as err: + raise ValueError(f"Invalid output_path: {output_path}. The error message is {err}.") from err + self._setting[GradConst.OUTPUT_PATH] = output_path + if not os.path.isdir(self._setting.get(GradConst.OUTPUT_PATH)): + create_directory(self._setting.get(GradConst.OUTPUT_PATH)) + else: + logger.warning("The output_path exists, the data will be covered.") + + def get_context(self, key: str): + if key not in self._setting: + logger.warning(f"Unrecognized {key}.") + return self._setting.get(key) + + def update_step(self): + self._setting[GradConst.CURRENT_STEP] += 1 + + def step_need_dump(self, step): + dump_step_list = self.get_context(GradConst.STEP) + return (not dump_step_list) or (step in dump_step_list) + + def rank_need_dump(self, rank): + dump_rank_list = self.get_context(GradConst.RANK) + return (not dump_rank_list) or (rank in dump_rank_list) + + def _set_input_list(self, config_dict: Dict, name: str, dtype: Union[int, str, float]): + value = config_dict.get(name) + if dtype == int: + type_str = "integer" + elif dtype == float: + type_str = "float" + else: + type_str = "string" + if value and isinstance(value, list): + for val in value: + if not isinstance(val, dtype): + logger.warning(f"Invalid {name} which must be None or list of {type_str}") + return + self._setting[name] = value + else: + logger.warning(f"{name} is None or not a list with valid items, use default value.") + +grad_context = GlobalContext() diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py new file mode 100644 index 0000000000..2bdc11114c --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py @@ -0,0 +1,231 @@ +import os +import time +from typing import List, Tuple +import multiprocessing +from multiprocessing import Process + +import numpy as np +import mindspore as ms +from mindspore.communication import get_rank +from mindspore.ops import operations as P +from mindspore.common.parameter import Parameter + +from msprobe.core.grad_probe.utils import ListCache +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger +from msprobe.core.common.file_check import create_directory +from msprobe.core.common.utils import check_file_or_directory_path, write_csv, remove_path, move_file +from msprobe.mindspore.grad_probe.global_context import grad_context, GlobalContext + + +def get_rank_id(): + try: + rank_id = get_rank() + except Exception as err: + rank_id = 0 + return rank_id + + +@ms.jit +def grad_dump(dump_dir: str, g_name: str, dump_step: Parameter, grad: ms.Tensor, level: str, bounds: List): + ''' + Dump gradient statistic data. + level0: [step, max, min, norm, shape_dim, shape] + level1: [step, max, min, norm, shape_dim, shape] + grad_bool_data + level2: [step, max, min, norm, shape_dim, shape, dist_dim, dist] + grad_bool_data + ''' + dump_path = os.path.join(dump_dir, g_name) + dump_dir_path = dump_path + "_dir" + save_op = ms.ops.TensorDump() + + grad_flat = grad.reshape(-1) + max_val = grad_flat.max(axis=0).float() + min_val = grad_flat.min(axis=0).float() + norm_val = grad_flat.norm(ord=2).float() + shape = grad.shape + extrem_list = [dump_step[0].float(), max_val, min_val, norm_val] + extrem_stat = ms.ops.stack(extrem_list) + shape_list = [len(shape)] + list(shape) + shape_stat = ms.Tensor(shape_list).float() + level0_stat = ms.ops.concat((extrem_stat, shape_stat), axis=0) + level_stat = level0_stat + + if level == GradConst.LEVEL2: + zero_grad = (grad == 0).sum() + dist_dim = ms.Tensor([len(bounds) + 2]).float() + bucket_result = ms.ops.bucketize(grad.float(), bounds) + bucket_result = bucket_result.astype(ms.int8) + dist_stat = [(bucket_result == i).sum() for i in range(len(bounds) + 1)] + dist_stat.append(zero_grad) + dist_stat.append(ms.Tensor(1, dtype=ms.int64)) # make sure dist_stat is not empty + dist_stat = ms.ops.stack(dist_stat, axis=0).float() + level2_stat = ms.ops.concat((level0_stat, dist_dim, dist_stat), axis=0) + level_stat = level2_stat + + save_op(dump_path, level_stat) + if level == GradConst.LEVEL1 or level == GradConst.LEVEL2: + grad_direction = grad > 0 + save_op(dump_dir_path, grad_direction) + + +class CSVGenerator(Process): + + def __init__(self) -> None: + super().__init__() + self.dump_dir = None + self.save_dir = None + self.level = GradConst.LEVEL0 + self.cache_list = ListCache() + self.current_step = None + self.stop_event = None + self.last_finish = False + self.bounds = [-0.1, 0.0, 0.1], + + def init(self, context: GlobalContext): + rank_id = get_rank_id() + output_path = context.get_context(GradConst.OUTPUT_PATH) + self.level = context.get_context(GradConst.LEVEL) + self.bounds = context.get_context(GradConst.BOUNDS) + self.dump_dir = f"{output_path}/rank{rank_id}/Dump/" + self.save_dir = f"{output_path}/rank{rank_id}/" + self.current_step = None + self.stop_event = multiprocessing.Event() + self.last_finish = False + + def run(self): + while True: + if not os.path.exists(self.dump_dir): + time.sleep(0.1) + if self.stop_event.is_set(): + break + continue + npy_files = os.listdir(self.dump_dir) + npy_files.sort(key=lambda x: int(x.split("_")[0])) + self.traverse_files(npy_files) + empty = len(os.listdir(self.dump_dir)) == 0 + if self.stop_event.is_set() and empty and self.last_finish: + break + if os.path.exists(self.dump_dir): + remove_path(self.dump_dir) + + def stop(self): + self.stop_event.set() + + def traverse_files(self, npy_files: List): + for npy_file in npy_files: + file_path = os.path.join(self.dump_dir, npy_file) + while not os.path.exists(file_path): + time.sleep(0.01) + check_file_or_directory_path(file_path) + if GradConst.STEP_FINISH in npy_file: + self.cache_list.flush() + remove_path(file_path) + self.last_finish = True + elif file_path.split("_")[-1] == GradConst.DIR_SUFFIX: + prefix_idx = len(npy_file.split("_")[0]) + new_name = npy_file[prefix_idx + 1:].replace("_" + GradConst.DIR_SUFFIX, "." + GradConst.NPY_SUFFIX) + if not new_name: + raise RuntimeError("Invalid dump data name.") + if self.current_step is None: + raise RuntimeError("Current record step is None.") + step_dir = os.path.join(self.save_dir, f"step{self.current_step}") + if not os.path.exists(step_dir): + create_directory(step_dir) + dst_file = os.path.join(step_dir, new_name) + move_file(file_path, dst_file) + self.last_finish = False + elif file_path.split(".")[-1] == GradConst.NPY_SUFFIX: + stat_data = self.load_npy_data(file_path) + if stat_data is None: + continue + if not self.check_valid(stat_data): + os.remove(file_path) + continue + step = int(stat_data[GradConst.STEP_IDX]) + update_step = self.current_step is None or step != self.current_step + self.current_step = step + if update_step: + self.create_csv_file() + self.gen_csv_line(file_path, stat_data) + os.remove(file_path) + self.last_finish = False + + def check_valid(self, stat_data): + level = grad_context.get_context(GradConst.LEVEL) + try: + shape_dim = int(stat_data[GradConst.SHAPE_DIM_IDX]) + if level == GradConst.LEVEL2: + dist_dim = int(stat_data[shape_dim + GradConst.SHAPE_DIM_IDX + 1]) + length = shape_dim + dist_dim + 7 + else: + length = shape_dim + 5 + except IndexError as err: + return False + if length != len(stat_data): + return False + return True + + def load_npy_data(self, file_path: str): + stat_data = None + max_try = 10 + while max_try: + try: + stat_data = np.load(file_path) + return stat_data + except Exception as err: + logger.warning(f"load numpy file failed, retry...") + max_try -= 1 + time.sleep(0.1) + return stat_data + + def gen_csv_line(self, file_path: str, stat_data) -> None: + shape_dim = int(stat_data[GradConst.SHAPE_DIM_IDX]) + file_name = os.path.basename(file_path) + prefix_idx = len(file_name.split("_")[0]) + param_name = file_name[(prefix_idx + 1) : -(len(GradConst.NPY_SUFFIX) + 1)] + if not param_name: + raise RuntimeError("Invalid gradient statistic file name.") + csv_line = [param_name] + if self.level == GradConst.LEVEL2: + csv_line.extend(self.get_dist_data(shape_dim, stat_data)) + csv_line.extend(self.get_extrem_data(shape_dim, stat_data)) + self.cache_list.append(csv_line) + + def get_dist_data(self, shape_dim: int, stat_data: np.ndarray): + dist_data = stat_data[(shape_dim + GradConst.SHAPE_DIM_IDX + 2):-1] + element_num = dist_data.sum() - dist_data[-1] + if element_num != 0: + dist_data = dist_data / element_num + return list(dist_data) + + def get_extrem_data(self, shape_dim: int, stat_data: np.ndarray): + extrem_data = list(stat_data[(GradConst.STEP_IDX + 1):(GradConst.STEP_IDX + 4)]) + shape_data = stat_data[(GradConst.SHAPE_DIM_IDX + 1):(GradConst.SHAPE_DIM_IDX + shape_dim + 1)] + shape_data = list(shape_data.astype(int)) + extrem_data.append(shape_data) + return extrem_data + + def create_csv_file(self): + headers = ["Param_name"] + if self.level == GradConst.LEVEL2: + headers.extend(self.get_dist_header()) + headers.extend(self.get_extrem_headers()) + output_path = f"{self.save_dir}/grad_summary_{self.current_step}.csv" + write_csv([headers], output_path) + self.cache_list.set_output_file(output_path) + self.cache_list.clear() + + def get_extrem_headers(self) -> List[str]: + return ["Max", "Min", "Norm", "Shape"] + + def get_dist_header(self) -> List[str]: + intervals = [] + for i, _ in enumerate(self.bounds): + if i == 0: + intervals.append(f"(-inf, {self.bounds[i]}]") + else: + intervals.append(f"({self.bounds[i-1]}, {self.bounds[i]}]") + intervals.extend([f"({self.bounds[-1]}, inf)", "=0"]) + return intervals + +csv_generator = CSVGenerator() diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py new file mode 100644 index 0000000000..f1e082688a --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py @@ -0,0 +1,27 @@ +from msprobe.mindspore.grad_probe.global_context import grad_context +from msprobe.mindspore.grad_probe.grad_analyzer import csv_generator +from msprobe.mindspore.grad_probe.hook import hook_optimizer +from msprobe.core.grad_probe.constant import GradConst + + +class GradientMonitor: + + def __init__(self, common_dict, task_config): + config = {} + config[GradConst.OUTPUT_PATH] = common_dict.dump_path + config[GradConst.STEP] = common_dict.step + config[GradConst.RANK] = common_dict.rank + config[GradConst.PARAM_LIST] = task_config.param_list + config[GradConst.LEVEL] = task_config.grad_level + config[GradConst.BOUNDS] = task_config.bounds + self.config = config + grad_context.init_context(self.config) + + @staticmethod + def monitor(opt): + csv_generator.init(grad_context) + hook_optimizer(opt) + + @staticmethod + def stop(): + csv_generator.stop() diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py new file mode 100644 index 0000000000..1c2b0ee3bf --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py @@ -0,0 +1,132 @@ +from abc import ABC, abstractmethod +import hashlib + +import mindspore +from mindspore import ops, Tensor +from msprobe.core.grad_probe.constant import GradConst + + +class CsvInput: + def __init__(self, param_name, grad, bounds): + self.param_name = param_name + self.grad = grad + self.bounds = bounds + +class GradStatCsv: + csv = {} + + @staticmethod + def get_csv_header(level, csv_input): + header = ["param_name"] + for key in level["header"]: + header.extend(GradStatCsv.csv[key].generate_csv_header(csv_input)) + return header + + @staticmethod + def get_csv_line(level, csv_input): + line = [csv_input.param_name] + for key in level["header"]: + line.extend(GradStatCsv.csv[key].generate_csv_content(csv_input)) + return line + + +def register_csv_item(key, cls=None): + if cls is None: + # 无参数时，返回装饰器函数 + return lambda cls: register_csv_item(key, cls) + GradStatCsv.csv[key] = cls + return cls + + +class CsvItem(ABC): + @staticmethod + @abstractmethod + def generate_csv_header(csv_input): + pass + + @staticmethod + @abstractmethod + def generate_csv_content(csv_input): + pass + + +@register_csv_item(GradConst.MD5) +class CsvMd5(CsvItem): + def generate_csv_header(csv_input): + return ["MD5"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + tensor_bytes = grad.float().numpy().tobytes() + md5_hash = hashlib.md5(tensor_bytes) + return [md5_hash.hexdigest()] + + +@register_csv_item(GradConst.DISTRIBUTION) +class CsvDistribution(CsvItem): + def generate_csv_header(csv_input): + bounds = csv_input.bounds + intervals = [] + if bounds: + intervals.append(f"(-inf, {bounds[0]}]") + for i in range(1, len(bounds)): + intervals.append(f"({bounds[i-1]}, {bounds[i]}]") + if intervals: + intervals.append(f"({bounds[-1]}, inf)") + intervals.append("=0") + + return intervals + + def generate_csv_content(csv_input): + grad = csv_input.grad + bounds = csv_input.bounds + if grad.dtype == mindspore.bfloat16: + grad = grad.to(mindspore.float32) + element_num = grad.numel() + grad_equal_0_num = (grad == 0).sum().item() + bucketsize_result = ops.bucketize(grad.float(), bounds) + bucketsize_result = bucketsize_result.astype(mindspore.int8) + interval_nums = [(bucketsize_result == i).sum().item() for i in range(len(bounds) + 1)] + interval_nums.append(grad_equal_0_num) + return_list = [x / element_num if element_num != 0 else 0 for x in interval_nums] + return return_list + + +@register_csv_item(GradConst.MAX) +class CsvMax(CsvItem): + def generate_csv_header(csv_input): + return ["max"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [ops.amax(grad).float().numpy().tolist()] + + +@register_csv_item(GradConst.MIN) +class CsvMin(CsvItem): + def generate_csv_header(csv_input): + return ["min"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [ops.amin(grad).float().numpy().tolist()] + + +@register_csv_item(GradConst.NORM) +class CsvNorm(CsvItem): + def generate_csv_header(csv_input): + return ["norm"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [ops.norm(grad).float().numpy().tolist()] + + +@register_csv_item(GradConst.SHAPE) +class CsvShape(CsvItem): + def generate_csv_header(csv_input): + return ["shape"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [list(grad.shape)] \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py new file mode 100644 index 0000000000..243fb33de1 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py @@ -0,0 +1,92 @@ + +import os + +import mindspore +import mindspore as ms +from mindspore.common.api import jit +from mindspore.nn.optim.optimizer import Optimizer +from mindspore.common.parameter import Parameter +from mindspore.common.initializer import initializer + +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger + +from msprobe.core.common.utils import write_csv, remove_path +from msprobe.mindspore.grad_probe.global_context import grad_context +from msprobe.mindspore.grad_probe.grad_analyzer import grad_dump, get_rank_id +from msprobe.mindspore.grad_probe.grad_analyzer import csv_generator +from msprobe.mindspore.grad_probe.grad_stat_csv import GradStatCsv, CsvInput +from msprobe.mindspore.grad_probe.utils import save_grad_direction, get_adapted_level + +class HookInput: + + ''' + HookInput is a class wrapping all the variables used for hooking optimizer + ''' + + def __init__(self, opt) -> None: + self.func = opt.construct + self.g_names = [param.name for param in opt._parameters] + self.param_list = grad_context.get_context(GradConst.PARAM_LIST) + self.rank_id = get_rank_id() + output_path = grad_context.get_context(GradConst.OUTPUT_PATH) + self.dump_dir = os.path.join(output_path, f"rank{self.rank_id}", "Dump") + self.save_dir = os.path.join(output_path, f"rank{self.rank_id}") + self.step_finish_flag = os.path.join(self.dump_dir, GradConst.STEP_FINISH) + if os.path.exists(self.save_dir): + logger.warning(f"Delete existing path {self.save_dir}.") + remove_path(self.save_dir) + self.level = grad_context.get_context(GradConst.LEVEL) + self.bounds = grad_context.get_context(GradConst.BOUNDS) + self.mode = mindspore.get_context("mode") + +def hook_graph_mode_optimizer(opt, hook_input): + @jit + def new_construct(self, gradients): + for index, grad_value in enumerate(gradients): + if hook_input.param_list and hook_input.g_names[index] not in hook_input.param_list: + continue + grad_dump(hook_input.dump_dir, hook_input.g_names[index], self.dump_step, + grad_value, hook_input.level, hook_input.bounds) + ms.ops.TensorDump()(hook_input.step_finish_flag, self.dump_step) + self.assignadd(self.dump_step, self.global_step_increase_tensor) + out = hook_input.func(gradients) + return out + + opt.dump_step = Parameter(initializer(0, [1], ms.int32), name="dump_step") + opt.construct = new_construct.__get__(opt, type(opt)) + csv_generator.start() + +def hook_pynative_optimizer(opt, hook_input): + level_adapted = get_adapted_level(hook_input.level) + + def hook_fn(cell, input): + gradients, = input + cur_step = grad_context.get_context(GradConst.CURRENT_STEP) + if grad_context.step_need_dump(cur_step) and grad_context.rank_need_dump(hook_input.rank_id): + output_lines = [] + for index, grad_value in enumerate(gradients): + param_name = hook_input.g_names[index] + if hook_input.param_list and param_name not in hook_input.param_list: + continue + csv_input = CsvInput(param_name, grad_value, hook_input.bounds) + grad_info = GradStatCsv.get_csv_line(level_adapted, csv_input) + output_lines.append(grad_info) + if level_adapted["have_grad_direction"]: + save_grad_direction(param_name, grad_value, os.path.join(hook_input.save_dir, f'step{cur_step}')) + output_csv_path = os.path.join(hook_input.save_dir, f"grad_summary_{cur_step}.csv") + dummy_csv_input = CsvInput(None, None, hook_input.bounds) + output_lines.insert(0, GradStatCsv.get_csv_header(level_adapted, dummy_csv_input)) + write_csv(output_lines, output_csv_path) + grad_context.update_step() + + opt.register_forward_pre_hook(hook_fn) + + +def hook_optimizer(opt: Optimizer): + hook_input = HookInput(opt) + + if hook_input.mode == mindspore.GRAPH_MODE: + hook_graph_mode_optimizer(opt, hook_input) + else: + hook_pynative_optimizer(opt, hook_input) diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py new file mode 100644 index 0000000000..db0a36a022 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py @@ -0,0 +1,29 @@ +import os + +import numpy as np +import mindspore +from msprobe.core.grad_probe.constant import GradConst, level_adp +from msprobe.core.grad_probe.utils import check_param +from msprobe.core.common.file_check import create_directory +from msprobe.core.common.utils import check_path_before_create, change_mode, check_file_or_directory_path, save_npy + + +def save_grad_direction(param_name, grad, save_path): + if not os.path.exists(save_path): + create_directory(save_path) + check_file_or_directory_path(save_path, isdir=True) + check_param(param_name) + save_filepath = os.path.join(save_path, f"{param_name}.npy") + check_path_before_create(save_filepath) + + if grad.dtype == mindspore.bfloat16: + grad = grad.to(mindspore.float32) + grad_direction_tensor = grad > 0 + grad_direction_ndarray = grad_direction_tensor.numpy() + + save_npy(grad_direction_ndarray, save_filepath) + + +def get_adapted_level(level: str): + level_adapted = level_adp.get(level) + return level_adapted \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index 05beeea32c..0e7ce15292 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -73,13 +73,20 @@ class FreeBenchmarkConfig(BaseConfig): if self.if_preheat or self.preheat_step or self.max_sample: logger.warning("'if_preheat', 'preheat_step' and 'max_sample' settings " "are not supported for mindspore free benchmark task.") +class GradProbeConfig(BaseConfig): + def __init__(self, json_config): + super().__init__(json_config) + self.grad_level = json_config.get("grad_level") + self.param_list = json_config.get("param_list") + self.bounds = json_config.get("bounds") TaskDict = { Const.TENSOR: TensorConfig, Const.STATISTICS: StatisticsConfig, Const.OVERFLOW_CHECK: OverflowCheckConfig, - Const.FREE_BENCHMARK: FreeBenchmarkConfig + Const.FREE_BENCHMARK: FreeBenchmarkConfig, + Const.GRAD_PROBE: GradProbeConfig, } diff --git a/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py index 012d42fafe..8433f0af69 100644 --- a/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py @@ -36,7 +36,7 @@ class PrecisionDebugger: common_config, task_config = parse_json_config(config_path, task) self.task = common_config.task if self.task == Const.GRAD_PROBE: - GradientMonitor(task_config, model) + self.gm = GradientMonitor(common_config, task_config) return if step: common_config.step = step @@ -102,6 +102,14 @@ class PrecisionDebugger: raise Exception("PrecisionDebugger instance is not created.") cls._instance.service.step() + @classmethod + def monitor(cls, model): + if not cls._instance: + raise Exception("PrecisionDebugger instance is not created.") + if cls._instance.task != Const.GRAD_PROBE: + return + cls._instance.gm.monitor(model) + def iter_tracer(func): def func_wrapper(*args, **kwargs): diff --git a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py index edd28635da..4bed1cc047 100644 --- a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py +++ b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py @@ -5,51 +5,34 @@ import torch from torch.optim.optimizer import register_optimizer_step_pre_hook from msprobe.pytorch.grad_probe.grad_stat_csv import GradStatCsv from msprobe.core.grad_probe.utils import check_numeral_list_ascend, data_in_list_target -from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.grad_probe.constant import GradConst, level_adp from msprobe.core.common.file_check import create_directory from msprobe.core.common.log import logger -from msprobe.core.common.utils import remove_path, write_csv +from msprobe.core.common.utils import remove_path, write_csv, save_npy from msprobe.pytorch.common.utils import get_rank_id, print_rank_0, save_pt class GradientMonitor: - level_adp = { - "L0": { - "header": [GradConst.MD5, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], - "have_grad_direction": False - }, - "L1": { - "header": [GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], - "have_grad_direction": True - }, - "L2": { - "header": [GradConst.DISTRIBUTION, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], - "have_grad_direction": True - }, - } - def __init__(self, config, model): - self._config = config._config - self._model = model - level = self._config.get("level") - if level not in GradientMonitor.level_adp: - raise Exception(f"level is valid, not in {GradientMonitor.level_adp.keys()}") - self._level_adp = GradientMonitor.level_adp[level] - self._param_list = self._config.get('param_list') - self._target_ranks = self._config.get("rank") + def __init__(self, common_config, task_config): + level = task_config.grad_level + if level not in level_adp: + raise Exception(f"level is valid, not in {level_adp.keys()}") + self._level_adp = level_adp[level] + self._param_list = task_config.param_list + self._target_ranks = common_config.rank logger.info(f"target rank {self._target_ranks}") - self._target_step = self._config.get("step") + self._target_step = common_config.step logger.info(f"target step {self._target_step}") - self._bounds = self._config.get("bounds") + self._bounds = task_config.bounds check_numeral_list_ascend(self._bounds) - self._output_path = self._config.get("output_path") + self._output_path = common_config.dump_path if not os.path.exists(self._output_path): create_directory(self._output_path) else: logger.warning(f"the file in {self._output_path} will be recoverd") self._step = -1 self._param2name = defaultdict(str) - self._monitor() @property def output_path(self): @@ -61,12 +44,12 @@ class GradientMonitor: create_directory(save_path) param_grad = grad.clone().detach() is_positive = param_grad > 0 - save_filepath = os.path.join(save_path, f"{param_name}.pt") - save_pt(is_positive, save_filepath) + save_filepath = os.path.join(save_path, f"{param_name}.npy") + save_npy(is_positive.numpy(), save_filepath) - def _monitor(self): + def monitor(self, model): print_rank_0("> parameter names:") - for name, param in self._model.named_parameters(): + for name, param in model.named_parameters(): self._param2name[param] = name print_rank_0(f"\t{name}") setattr(self, "_rank", get_rank_id()) diff --git a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py index ae01b75ee1..757a1aebf7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py +++ b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py @@ -63,13 +63,15 @@ class CSV_distribution(CsvItem): def generate_csv_header(csv_header_input): bounds = csv_header_input.bounds intervals = [] - for i, _ in enumerate(bounds): - if i == 0: - intervals.append(f"(-inf, {bounds[i]}]") - else: + if bounds: + intervals.append(f"(-inf, {bounds[0]}]") + for i in range(1, len(bounds)): intervals.append(f"({bounds[i-1]}, {bounds[i]}]") - intervals.extend([f"({bounds[-1]}, inf)", "=0"]) - return intervals + if intervals: + intervals.append(f"({bounds[-1]}, inf)") + intervals.append("=0") + + return intervals def generate_csv_content(csv_content_input): grad = csv_content_input.grad diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index daba5476ca..2db6980bbc 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -96,7 +96,9 @@ class RunUTConfig(BaseConfig): class GradToolConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) - self._config = json_config + self.grad_level = json_config.get("grad_level") + self.param_list = json_config.get("param_list") + self.bounds = json_config.get("bounds") def parse_task_config(task, json_config): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py index bd569f5a29..f39d3f091f 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py @@ -4,6 +4,7 @@ import os import torch from msprobe.pytorch.grad_probe.grad_stat_csv import GradStatCsv from msprobe.pytorch.grad_probe.grad_monitor import GradientMonitor +from msprobe.core.grad_probe.constant import level_adp grad_tensor = torch.tensor([[-2, 2], [0.2, 0.3]]) @@ -11,27 +12,27 @@ grad_tensor = torch.tensor([[-2, 2], [0.2, 0.3]]) class TestGradCSV(unittest.TestCase): def test_level_L0_header(self): self.assertEqual(['param_name', 'MD5', 'max', 'min', 'norm', 'shape'], - GradStatCsv.generate_csv_header(GradientMonitor.level_adp["L0"], [-1, 0, 1])) + GradStatCsv.generate_csv_header(level_adp["L0"], [-1, 0, 1])) def test_level_L1_header(self): self.assertEqual(['param_name', 'max', 'min', 'norm', 'shape'], - GradStatCsv.generate_csv_header(GradientMonitor.level_adp["L1"], [-1, 0, 1])) + GradStatCsv.generate_csv_header(level_adp["L1"], [-1, 0, 1])) def test_level_L2_header(self): self.assertEqual(['param_name', '(-inf, -1]', '(-1, 0]', '(0, 1]', '(1, inf)', '=0', 'max', 'min', 'norm', 'shape'], - GradStatCsv.generate_csv_header(GradientMonitor.level_adp["L2"], [-1, 0, 1])) + GradStatCsv.generate_csv_header(level_adp["L2"], [-1, 0, 1])) def test_level_L0_content(self): - generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", GradientMonitor.level_adp["L0"], grad_tensor, [-1, 0, 1]) + generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", level_adp["L0"], grad_tensor, [-1, 0, 1]) self.assertEqual(['model.conv2d', '678a6c7d9d9716682b56fda097d0936c', 2.0, -2.0, 2.851315498352051, [2, 2]], generated_csv_line) def test_level_L1_content(self): - generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", GradientMonitor.level_adp["L1"], grad_tensor, [-1, 0, 1]) + generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", level_adp["L1"], grad_tensor, [-1, 0, 1]) self.assertEqual(['model.conv2d', 2.0, -2.0, 2.851315498352051, [2, 2]], generated_csv_line) def test_level_L2_content(self): - generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", GradientMonitor.level_adp["L2"], grad_tensor, [-1, 0, 1]) + generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", level_adp["L2"], grad_tensor, [-1, 0, 1]) self.assertEqual(['model.conv2d', 0.25, 0.0, 0.5, 0.25, 0.0, 2.0, -2.0, 2.851315498352051, [2, 2]], generated_csv_line) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py index d79cca5028..607addd69b 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py @@ -10,15 +10,24 @@ from msprobe.core.grad_probe.grad_compare import GradComparator from msprobe.pytorch.grad_probe.grad_monitor import GradientMonitor from msprobe.pytorch.pt_config import GradToolConfig +class config: + def __init__(self, config_dict): + for key, value in config_dict.items(): + setattr(self, key, value) -config_dict = { - "level": "L1", - "param_list": "", +common_config_dict = { "rank": [], "step": [], - "bounds": [-1,0,1], - "output_path": "./grad_output" + "dump_path": "./grad_output" +} +common_config = config(common_config_dict) + +task_config_dict = { + "grad_level": "L1", + "param_list": "", + "bounds": [-1,0,1] } +task_config = config(task_config_dict) def seed_all(seed=1234, mode=False): random.seed(seed) @@ -53,7 +62,8 @@ def get_grad_monitor(): nn.init.constant_(test_module.linear.bias, 1.0) optimizer = torch.optim.SGD(test_module.parameters(), lr=1e-2) - gm = GradientMonitor(GradToolConfig(config_dict), test_module) + gm = GradientMonitor(common_config, task_config) + gm.monitor(test_module) for input_data, label in zip(inputs, labels): output = test_module(input_data) -- Gitee From 7f7b1f6ee65a1d9ef7e029af39198bd3041d728d Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 7 Aug 2024 16:32:49 +0800 Subject: [PATCH 085/160] =?UTF-8?q?=E9=97=A8=E7=A6=81=E8=A6=81=E6=B1=82?= =?UTF-8?q?=E4=BF=AE=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../core/compare/Multiprocessing_compute.py | 2 +- .../msprobe/core/compare/acc_compare.py | 6 ++-- .../msprobe/core/compare/highlight.py | 3 +- .../msprobe/core/compare/match.py | 2 -- .../msprobe/mindspore/compare/ms_compare.py | 34 ++++++++----------- .../msprobe/pytorch/__init__.py | 1 + .../msprobe/pytorch/compare/compare_cli.py | 4 +-- .../msprobe/pytorch/compare/pt_compare.py | 31 +++++++---------- 8 files changed, 33 insertions(+), 50 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py index 20e3c1d0c7..da63005e5d 100644 --- a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py +++ b/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py @@ -1,7 +1,7 @@ import multiprocessing -import pandas as pd from dataclasses import dataclass +import pandas as pd from msprobe.core.common.log import logger from msprobe.core.common.utils import CompareException from msprobe.core.common.const import CompareConst diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 1d11f120b7..084f8c9e9b 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -6,10 +6,10 @@ from msprobe.core.common.exceptions import FileCheckException class Comparator: + def __init__(self): pass - def match_op(self,npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): if check_op(npu_queue[-1], b_op, fuzzy_match): @@ -21,7 +21,6 @@ class Comparator: return n_index, len(bench_queue) - 1 return -1, -1 - def compare_by_op(self,op_name, op_name_mapping_dict, input_parma): npu_bench_name_list = op_name_mapping_dict[op_name] data_name = npu_bench_name_list[1] @@ -55,7 +54,6 @@ class Comparator: err_msg += " Fuzzy matching data, the comparison accuracy may be affected." result_list.append(err_msg) return result_list - - + testComparator= Comparator() diff --git a/debug/accuracy_tools/msprobe/core/compare/highlight.py b/debug/accuracy_tools/msprobe/core/compare/highlight.py index 21cab08398..802376347b 100644 --- a/debug/accuracy_tools/msprobe/core/compare/highlight.py +++ b/debug/accuracy_tools/msprobe/core/compare/highlight.py @@ -1,10 +1,9 @@ import math import abc -import numpy as np from collections import namedtuple +import numpy as np import openpyxl from openpyxl.styles import PatternFill -from collections import namedtuple from msprobe.core.common.utils import get_header_index from msprobe.core.common.const import CompareConst from msprobe.core.common.log import logger diff --git a/debug/accuracy_tools/msprobe/core/compare/match.py b/debug/accuracy_tools/msprobe/core/compare/match.py index acab425852..2a46105bdf 100644 --- a/debug/accuracy_tools/msprobe/core/compare/match.py +++ b/debug/accuracy_tools/msprobe/core/compare/match.py @@ -10,7 +10,6 @@ class AtenIrMapping(): yaml_path = os.path.join(cur_path, "mapping.yaml") with FileOpen(yaml_path, 'r') as f: self.aten_mapping = yaml.safe_load(f) - def match(self, op1, op2): if "Aten" in op1 and "Aten" not in op2: @@ -18,7 +17,6 @@ class AtenIrMapping(): else: return self.match_op(op2, op1) - def match_op(self, aten_op, torch_op): try: aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index b8f29745a5..23764a49d4 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -19,10 +19,10 @@ from msprobe.core.common.log import logger from msprobe.core.common.exceptions import FileCheckException class MSComparator (Comparator): + def __init__(self): super().__init__() - def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] max_err_result = [] @@ -60,7 +60,6 @@ class MSComparator (Comparator): return _save_cmp_result(idx, cr, result_df, lock) - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): op_data = json_data['data'][op_name] op_parsed_list = read_op(op_data, op_name) @@ -71,8 +70,7 @@ class MSComparator (Comparator): merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) return merge_list - - + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles npu_json_data = json.load(npu_json_handle) @@ -135,8 +133,7 @@ class MSComparator (Comparator): for npu_data in npu_ops_queue: get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) - return result_df - + return result_df def make_result_table(self,result,md5_compare,summary_compare,stack_mode): header = [] @@ -163,17 +160,7 @@ class MSComparator (Comparator): for row in result: del row[-1] result_df = pd.DataFrame(result, columns=header) - return result_df - - - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - + return result_df def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) @@ -184,8 +171,7 @@ class MSComparator (Comparator): if data_value.dtype == np.float16: data_value=data_value.astype(np.float32) - return data_value - + return data_value def compare_core(self,input_parma, output_path, **kwargs): """ @@ -232,7 +218,15 @@ class MSComparator (Comparator): advisor = Advisor(result_df, output_path) advisor.analysis() - + def _do_multi_process(self,input_parma, result_df): + try: + result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + + def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_param) diff --git a/debug/accuracy_tools/msprobe/pytorch/__init__.py b/debug/accuracy_tools/msprobe/pytorch/__init__.py index c14d9701a3..c4e4267726 100644 --- a/debug/accuracy_tools/msprobe/pytorch/__init__.py +++ b/debug/accuracy_tools/msprobe/pytorch/__init__.py @@ -1,3 +1,4 @@ from .debugger.precision_debugger import PrecisionDebugger from .common.utils import seed_all from .compare.distributed_compare import compare_distributed +from .compare.pt_compare import compare \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py index 155609f58c..b344d4efbf 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py @@ -3,7 +3,7 @@ from msprobe.core.common.file_check import FileOpen, check_file_type from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException from msprobe.core.common.log import logger -from msprobe.pytorch.compare.pt_compare import pt_compare +from msprobe.pytorch.compare.pt_compare import compare from msprobe.pytorch.compare.distributed_compare import compare_distributed @@ -14,7 +14,7 @@ def compare_cli(args): bench_path = input_param.get("bench_path", None) if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: - pt_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, + compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index fe2d4fd76f..43f628dd02 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -23,7 +23,6 @@ class PTComparator (Comparator): def __init__(self): super().__init__() - def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] max_err_result = [] @@ -61,7 +60,6 @@ class PTComparator (Comparator): return _save_cmp_result(idx, cr, result_df, lock) - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): op_data = json_data['data'][op_name] op_parsed_list = read_op(op_data, op_name) @@ -71,8 +69,7 @@ class PTComparator (Comparator): op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) - return merge_list - + return merge_list def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles @@ -139,7 +136,6 @@ class PTComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df - def make_result_table(self,result,md5_compare,summary_compare,stack_mode): header = [] if md5_compare: @@ -167,7 +163,6 @@ class PTComparator (Comparator): result_df = pd.DataFrame(result, columns=header) return result_df - def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -177,17 +172,7 @@ class PTComparator (Comparator): if data_value.dtype == torch.bfloat16: data_value = data_value.to(torch.float32) data_value = data_value.numpy() - return data_value - - - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - + return data_value def compare_core(self,input_parma, output_path, **kwargs): """ @@ -235,8 +220,16 @@ class PTComparator (Comparator): advisor = Advisor(result_df, output_path) advisor.analysis() - -def pt_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): + def _do_multi_process(self,input_parma, result_df): + try: + result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + + +def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_param) check_configuration_param(stack_mode, auto_analyze, fuzzy_match) -- Gitee From f523d2ac2450bb0fd4095075c6da450fd3f7ecee Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Wed, 7 Aug 2024 16:47:43 +0800 Subject: [PATCH 086/160] msprobe add online run_ut --- .../api_accuracy_checker/compare/compare.py | 39 ++++-- .../api_accuracy_checker/run_ut/run_ut.py | 132 ++++++++++++++++-- .../pytorch/debugger/debugger_config.py | 8 +- .../msprobe/pytorch/pt_config.py | 4 + .../accuracy_tools/msprobe/pytorch/service.py | 54 ++++++- 5 files changed, 204 insertions(+), 33 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/compare/compare.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/compare/compare.py index ee49588288..20f04b0cd7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/compare/compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/compare/compare.py @@ -33,16 +33,30 @@ class Comparator: COLUMN_BACKWARD_SUCCESS = "Backward Test Success" COLUMN_STACK_INFO = "Traceback callstack info" - def __init__(self, result_csv_path, details_csv_path, is_continue_run_ut, stack_info_json_path=None): - self.save_path = result_csv_path - self.detail_save_path = details_csv_path - if not is_continue_run_ut and not os.path.exists(self.save_path) and not os.path.exists(self.detail_save_path): + def __init__(self, result_csv_path, details_csv_path, is_continue_run_ut, stack_info_json_path=None, config=None): + self.save_path_str = result_csv_path + self.detail_save_path_str = details_csv_path + self.save_path_list = [result_csv_path] + self.detail_save_path_list = [details_csv_path] + + if config and config.online_config.is_online: + self.save_path_str = result_csv_path.replace(".csv", "_rank{}.csv") + self.detail_save_path_str = details_csv_path.replace(".csv", "_rank{}.csv") + self.save_path_list = [self.save_path_str.format(rank) for rank in config.online_config.rank_list] + self.detail_save_path_list = \ + [self.detail_save_path_str.format(rank) for rank in config.online_config.rank_list] + + if not is_continue_run_ut: self.write_csv_title() if stack_info_json_path: self.stack_info = get_json_contents(stack_info_json_path) else: self.stack_info = None + @staticmethod + def get_path_from_rank(rank, path_list, path_pattern): + return path_list[-1] if len(path_list) == 1 else path_pattern.format(rank) + @staticmethod def print_pretest_result(): logger.info("Successfully completed run_ut/multi_run_ut.") @@ -86,10 +100,11 @@ class Comparator: def write_csv_title(self): summary_test_rows = [[self.COLUMN_API_NAME, self.COLUMN_FORWARD_SUCCESS, self.COLUMN_BACKWARD_SUCCESS, "Message"]] - if not os.path.exists(self.save_path): - write_csv(summary_test_rows, self.save_path) - if not os.path.exists(self.detail_save_path): - write_csv(DETAIL_TEST_ROWS, self.detail_save_path) + for save_path, detail_save_path in zip(self.save_path_list, self.detail_save_path_list): + if not os.path.exists(save_path): + write_csv(summary_test_rows, save_path) + if not os.path.exists(detail_save_path): + write_csv(DETAIL_TEST_ROWS, detail_save_path) def write_summary_csv(self, test_result): test_rows = [] @@ -104,7 +119,8 @@ class Comparator: stack_info = "\n".join(self.stack_info[name]) df_row.append(stack_info) test_rows.append(df_row) - write_csv(test_rows, self.save_path) + save_path = self.get_path_from_rank(test_result[-1], self.save_path_list, self.save_path_str) + write_csv(test_rows, save_path) def write_detail_csv(self, test_result): test_rows = [] @@ -125,7 +141,10 @@ class Comparator: if isinstance(item, float) else item for item in test_subject] test_rows.append([subject] + list(test_subject)) - write_csv(test_rows, self.detail_save_path) + detail_save_path = self.get_path_from_rank(test_result[-1], + self.detail_save_path_list, + self.detail_save_path_str) + write_csv(test_rows, detail_save_path) def record_results(self, args): self.write_summary_csv(args) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index bca9711161..04ad039b24 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -36,14 +36,20 @@ from msprobe.core.common.file_check import FileOpen, FileChecker, \ from msprobe.pytorch.common.log import logger from msprobe.pytorch.pt_config import parse_json_config from msprobe.core.common.const import Const, FileCheckConst, CompareConst +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.attl import ATTL, ATTLConfig, ApiData, move2device_exec +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.device_dispatch import ConsumerDispatcher + current_time = time.strftime("%Y%m%d%H%M%S") UT_ERROR_DATA_DIR = 'ut_error_data' + current_time RESULT_FILE_NAME = "accuracy_checking_result_" + current_time + ".csv" DETAILS_FILE_NAME = "accuracy_checking_details_" + current_time + ".csv" RunUTConfig = namedtuple('RunUTConfig', ['forward_content', 'backward_content', 'result_csv_path', 'details_csv_path', - 'save_error_data', 'is_continue_run_ut', 'real_data_path', 'white_list', - 'black_list', 'error_data_path']) + 'save_error_data', 'is_continue_run_ut', 'real_data_path', 'white_list', + 'black_list', 'error_data_path', 'online_config']) + +OnlineConfig = namedtuple('OnlineConfig', ['is_online', 'nfs_path', 'host', 'port', 'rank_list']) + not_backward_list = ['repeat_interleave'] not_detach_set = {'resize_', 'resize_as_', 'set_', 'transpose_', 't_', 'squeeze_', 'unsqueeze_'} not_raise_dtype_set = {'type_as'} @@ -140,7 +146,7 @@ def generate_cpu_params(input_args, input_kwargs, need_backward, api_name): elif isinstance(arg_in, torch.Tensor): if need_backward and arg_in.requires_grad: arg_in = deal_detach(raise_bench_data_dtype( - api_name, arg_in.clone(), raise_dtype=raise_dtype), to_detach).requires_grad_() + api_name, arg_in.clone(), raise_dtype=raise_dtype), to_detach).requires_grad_() temp_arg_in = arg_in * 1 arg_in = temp_arg_in.type_as(arg_in) arg_in.retain_grad() @@ -187,11 +193,25 @@ def run_ut(config): logger.info(f"UT task details will be saved in {config.details_csv_path}") if config.save_error_data: logger.info(f"UT task error_datas will be saved in {config.error_data_path}") - compare = Comparator(config.result_csv_path, config.details_csv_path, config.is_continue_run_ut) - with FileOpen(config.result_csv_path, 'r') as file: - csv_reader = csv.reader(file) - next(csv_reader) - api_name_set = {row[0] for row in csv_reader} + compare = Comparator(config.result_csv_path, config.details_csv_path, config.is_continue_run_ut, config=config) + + if config.online_config.is_online: + run_api_online(config, compare) + else: + with FileOpen(config.result_csv_path, 'r') as file: + csv_reader = csv.reader(file) + next(csv_reader) + api_name_set = {row[0] for row in csv_reader} + run_api_offline(config, compare, api_name_set) + for result_csv_path, details_csv_path in zip(compare.save_path_list, compare.detail_save_path_list): + change_mode(result_csv_path, FileCheckConst.DATA_FILE_AUTHORITY) + change_mode(details_csv_path, FileCheckConst.DATA_FILE_AUTHORITY) + logger.info()(f"UT task result csv is saved in {result_csv_path}") + logger.info()(f"UT task details csv is saved in {details_csv_path}") + compare.print_pretest_result() + + +def run_api_offline(config, compare, api_name_set): for _, (api_full_name, api_info_dict) in enumerate(tqdm(config.forward_content.items(), **tqdm_params)): if api_full_name in api_name_set: continue @@ -223,9 +243,55 @@ def run_ut(config): else: torch.npu.empty_cache() gc.collect() - change_mode(compare.save_path, FileCheckConst.DATA_FILE_AUTHORITY) - change_mode(compare.detail_save_path, FileCheckConst.DATA_FILE_AUTHORITY) - compare.print_pretest_result() + + +def run_api_online(config, compare): + attl = init_attl(config.online_config) + dispatcher = ConsumerDispatcher(compare=compare) + dispatcher.start(handle_func=run_torch_api_online, config=config) + + def tcp_communication_flow(): + while True: + api_data = attl.recv() + if api_data == 'STOP_': + continue + if api_data == 'KILL_': + time.sleep(1) + logger.info("==========接收到STOP信号==========") + dispatcher.stop() + attl.stop_serve() + time.sleep(1) + break + if not isinstance(api_data, ApiData): + continue + api_full_name = api_data.name + + if config.white_list: + [_, api_name, _] = api_full_name.split(Const.SEP) + if api_name not in set(config.white_list): + continue + dispatcher.update_consume_queue(api_data) + + def shared_storage_communication_flow(): + flag_num = -1 + while True: + api_data = attl.download() + if api_data == "start": + if flag_num == -1: + flag_num += 1 + flag_num += 1 + if api_data == "end": + flag_num -= 1 + if flag_num == 0: + dispatcher.stop() + break + if isinstance(api_data, ApiData): + dispatcher.update_consume_queue(api_data) + + if config.nfs_path: + shared_storage_communication_flow() + else: + tcp_communication_flow() def is_unsupported_api(api_name): @@ -294,6 +360,20 @@ def run_torch_api(api_full_name, real_data_path, backward_content, api_info_dict return UtDataInfo(bench_grad_out, device_grad_out, device_out, out, bench_grad, in_fwd_data_list, backward_message) +def run_torch_api_online(api_full_name, api_data, backward_content): + in_fwd_data_list = [] + [api_type, api_name, _] = api_full_name.split(Const.SEP) + args, kwargs, out = api_data.args, api_data.kwargs, api_data.result + in_fwd_data_list.append(args) + in_fwd_data_list.append(kwargs) + if kwargs.get("device"): + del kwargs["device"] + + device_out = exec_api(api_type, api_name, args, kwargs) + device_out = move2device_exec(device_out, "cpu") + return UtDataInfo(None, None, out, device_out, None, in_fwd_data_list, None, rank=api_data.rank) + + def get_api_info(api_info_dict, api_name, real_data_path): convert_type, api_info_dict = api_info_preprocess(api_name, api_info_dict) need_grad = True @@ -357,11 +437,20 @@ def get_validated_details_csv_path(validated_result_csv_path): return validated_details_csv_path +def init_attl(config): + """config: OnlineConfig""" + attl = ATTL('gpu', ATTLConfig(is_benchmark_device=True, + connect_ip=config.host, + connect_port=config.port, + nfs_path=config.nfs_path)) + return attl + + def _run_ut_parser(parser): parser.add_argument("-api_info", "--api_info_file", dest="api_info_file", default="", type=str, - help=" The api param tool result file: generate from api param tool, " + help=" The api param tool result file: generate from api param tool, " "a json file.", - required=True) + required=False) parser.add_argument("-o", "--out_path", dest="out_path", default="", type=str, help=" The ut task result out path.", required=False) @@ -478,24 +567,37 @@ def run_ut_command(args): white_list = msCheckerConfig.white_list black_list = msCheckerConfig.black_list error_data_path = msCheckerConfig.error_data_path + is_online = msCheckerConfig.is_online + nfs_path = msCheckerConfig.nfs_path + host = msCheckerConfig.host + port = msCheckerConfig.port + rank_list = msCheckerConfig.rank_list if args.config_path: _, task_config = parse_json_config(args.config_path, Const.RUN_UT) white_list = task_config.white_list black_list = task_config.black_list error_data_path = task_config.error_data_path + is_online = task_config.is_online + nfs_path = task_config.nfs_path + host = task_config.host + port = task_config.port + rank_list = task_config.rank_list + if save_error_data: if args.result_csv_path: time_info = result_csv_path.split('.')[0].split('_')[-1] global UT_ERROR_DATA_DIR UT_ERROR_DATA_DIR = 'ut_error_data' + time_info error_data_path = initialize_save_error_data(error_data_path) + online_config = OnlineConfig(is_online, nfs_path, host, port, rank_list) run_ut_config = RunUTConfig(forward_content, backward_content, result_csv_path, details_csv_path, save_error_data, - args.result_csv_path, real_data_path, set(white_list), set(black_list), error_data_path) + args.result_csv_path, real_data_path, set(white_list), set(black_list), error_data_path, + online_config) run_ut(run_ut_config) class UtDataInfo: - def __init__(self, bench_grad, device_grad, device_output, bench_output, grad_in, in_fwd_data_list, + def __init__(self, bench_grad, device_grad, device_output, bench_output, grad_in, in_fwd_data_list, backward_message, rank=0): self.bench_grad = bench_grad self.device_grad = device_grad diff --git a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py index cfc588e1e9..04303c4f23 100644 --- a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py @@ -35,7 +35,13 @@ class DebuggerConfig: "preheat_step": task_config.preheat_step if task_config.preheat_step else 15, "max_sample": task_config.max_sample if task_config.max_sample else 20, } - + + # dump api tensor and collaborate with online run_ut + self.online_run_ut = task_config.online_run_ut if task_config.online_run_ut else False + self.nfs_path = task_config.nfs_path if task_config.nfs_path else "" + self.host = task_config.host if task_config.host else "" + self.port = task_config.port if task_config.port else -1 + self.check() if self.step: self.step.sort() diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index 8fbe5dea03..6bcd1a05e1 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -10,6 +10,10 @@ from msprobe.pytorch.hook_module.utils import WrapFunctionalOps, WrapTensorOps, class TensorConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) + self.online_run_ut = json_config.get("online_run_ut", False) + self.nfs_path = json_config.get("nfs_path", "") + self.host = json_config.get("host", "") + self.port = json_config.get("port", -1) self.check_config() self._check_file_format() diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index daeda88987..d74a9dc255 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -1,5 +1,6 @@ import functools import os +import time from pathlib import Path from msprobe.pytorch.common.log import logger @@ -13,6 +14,7 @@ from msprobe.pytorch.common.utils import get_rank_if_initialized from msprobe.pytorch.module_processer import ModuleProcesser from msprobe.pytorch.hook_module import remove_dropout from msprobe.pytorch.hook_module.api_registry import api_register +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.attl import ATTLConfig, ATTL, ApiData class Service: @@ -24,8 +26,20 @@ class Service: self.switch = False self.current_iter = 0 self.first_start = True - self.current_rank = None + try: + self.current_rank = get_rank_if_initialized() + except DistributedNotInitializedError: + self.current_rank = None self.dump_iter_dir = None + if self.config.online_run_ut: + attl_config = ATTLConfig(is_benchmark_device=False, + connect_ip=self.config.host, + connect_port=self.config.port, + nfs_path=self.config.nfs_path) + need_dump = self.current_rank in self.config.rank + self.attl = ATTL('npu', attl_config, need_dump=need_dump) + if self.config.nfs_path: + self.attl.upload("start") @staticmethod def forward_backward_dump_end(): @@ -52,6 +66,12 @@ class Service: if not self.switch: return None + + if self.config.online_run_ut: + api_data = ApiData(api_or_module_name, args, kwargs, output, self.current_iter, self.current_rank) + self.attl_send(api_data) + return None + if self.data_collector: module_input_output = ModuleForwardInputsOutputs(args=args, kwargs=kwargs, output=output) self.data_collector.forward_data_collect(api_or_module_name, module, pid, module_input_output) @@ -66,6 +86,13 @@ class Service: if not self.switch: return + + if self.config.online_run_ut: + api_data = ApiData(api_or_module_name, grad_input, None, grad_output, self.current_iter, + self.current_rank) + self.attl_send(api_data) + return None + if self.data_collector: module_input_output = ModuleBackwardInputsOutputs(grad_input=grad_input, grad_output=grad_output) self.data_collector.backward_data_collect(api_or_module_name, module, pid, module_input_output) @@ -85,16 +112,22 @@ class Service: def start(self, model, api_origin=False): self.model = model if self.config.step and self.current_iter > max(self.config.step): + # send end or step signal + if self.config.online_run_ut: + if self.config.nfs_path: + self.attl.upload("end") + elif self.attl.socket_manager is not None: + logger.debug(f"进程{os.getpid()} 已完成,准备发送STOP信号") + self.attl.socket_manager.send_stop_signal() + else: + # current rank not need dump, wait + while True: + time.sleep(2) self.stop() raise Exception("msprobe: exit after iteration {}".format(max(self.config.step))) if self.config.step and self.current_iter not in self.config.step: return if self.first_start: - try: - self.current_rank = get_rank_if_initialized() - except DistributedNotInitializedError: - self.current_rank = None - if self.config.rank and self.current_rank not in self.config.rank: return self.register_hook_new() @@ -171,4 +204,11 @@ class Service: api_register.api_modularity() if Const.STATISTICS == self.config.task or Const.TENSOR == self.config.task: - remove_dropout() \ No newline at end of file + remove_dropout() + + def attl_send(self, api_data): + logger.info(f"tools is dumping api: {api_data.name}, rank: {self.current_rank}") + if self.config.nfs_path: + self.attl.upload(api_data) + else: + self.attl.send(api_data) -- Gitee From 2706526e790dc56ff76f07f856d5614c6cc8f633 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 17:12:18 +0800 Subject: [PATCH 087/160] =?UTF-8?q?=E4=BF=AE=E5=A4=8Dtorch2.x=E4=B8=8B?= =?UTF-8?q?=E7=9A=84construct.json=E4=B8=AD=E7=9A=84=E5=8F=8D=E5=90=91?= =?UTF-8?q?=E6=98=A0=E5=B0=84=E5=85=B3=E7=B3=BB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/pytorch/module_processer.py | 17 ++++++++++++----- debug/accuracy_tools/msprobe/pytorch/service.py | 11 +++++++++-- 2 files changed, 21 insertions(+), 7 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/module_processer.py b/debug/accuracy_tools/msprobe/pytorch/module_processer.py index cd91eedc09..8303ea8140 100644 --- a/debug/accuracy_tools/msprobe/pytorch/module_processer.py +++ b/debug/accuracy_tools/msprobe/pytorch/module_processer.py @@ -5,6 +5,7 @@ from torch.utils.hooks import BackwardHook from msprobe.core.common.const import Const from msprobe.core.data_dump.scope import ModuleRangeScope +torch_version_above_2 = torch.__version__.split('+')[0] > '2.0' class ModuleProcesser: @@ -123,9 +124,15 @@ class ModuleProcesser: if self.scope: self.scope.begin_module(full_name) - if Const.FORWARD in name_prefix and Const.START in start_or_stop: - return pre_hook - elif Const.BACKWARD in name_prefix: - return backward_hook + if torch_version_above_2: + if Const.START in start_or_stop: + return pre_hook + else: + return end_hook else: - return end_hook + if Const.FORWARD in name_prefix and Const.START in start_or_stop: + return pre_hook + elif Const.BACKWARD in name_prefix: + return backward_hook + else: + return end_hook diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 79abfdc9e6..840f97b9a4 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -15,7 +15,7 @@ from msprobe.pytorch.hook_module import remove_dropout from msprobe.pytorch.hook_module.api_registry import api_register from msprobe.pytorch.hook_module.hook_module import HOOKModule from msprobe.pytorch.module_processer import ModuleProcesser -torch_vsrsion_above_2 = torch.__version__.split('+')[0] > '2.0' +torch_version_above_2 = torch.__version__.split('+')[0] > '2.0' class Service: @@ -180,9 +180,11 @@ class Service: pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 \ = self.build_hook(BaseScope.Module_Type_Module, prefix) - if torch_vsrsion_above_2: + if torch_version_above_2: module.register_forward_hook(forward_hook, with_kwargs=True) else: + module.register_full_backward_hook( + self.module_processor.node_hook(prefix + Const.BACKWARD, Const.STOP)) module.register_forward_hook(forward_hook_torch_version_below_2) module.register_full_backward_hook(backward_hook) @@ -190,6 +192,11 @@ class Service: self.module_processor.node_hook(prefix + Const.FORWARD, Const.START)) module.register_forward_hook( self.module_processor.node_hook(prefix + Const.FORWARD, Const.STOP)) + if torch_version_above_2: + module.register_full_backward_pre_hook( + self.module_processor.node_hook(prefix + Const.BACKWARD, Const.START)) + module.register_full_backward_hook( + self.module_processor.node_hook(prefix + Const.BACKWARD, Const.STOP)) if self.config.level in ["mix", "L1", "L2"]: api_register.initialize_hook(functools.partial(self.build_hook, BaseScope.Module_Type_API)) -- Gitee From c7cc3ac5e8588bd574e221e0f2cad7ddc45beef1 Mon Sep 17 00:00:00 2001 From: zhaolei Date: Mon, 5 Aug 2024 15:10:24 +0800 Subject: [PATCH 088/160] =?UTF-8?q?rdma=E9=80=9A=E4=BF=A1=E9=87=8D?= =?UTF-8?q?=E4=BC=A0=E6=A3=80=E6=B5=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../Communication_retransmission_analyzer.py | 46 +++++ .../Communication_retransmission_checker.py | 128 +++++++++++++ profiler/advisor/common/analyzer_scopes.py | 15 ++ .../dataset/cluster/cluster_dataset.py | 33 ++++ .../dataset/cluster/hccl_collection.py | 64 +++++++ ...communication_retransmission_analysis.html | 40 +++++ profiler/advisor/interface/interface.py | 16 ++ profiler/advisor/rules/rdma_analysis.yaml | 9 + .../test_rdma_retransmission_advice.py | 170 ++++++++++++++++++ 9 files changed, 521 insertions(+) create mode 100644 profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py create mode 100644 profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py create mode 100644 profiler/advisor/dataset/cluster/hccl_collection.py create mode 100644 profiler/advisor/display/html/templates/communication_retransmission_analysis.html create mode 100644 profiler/advisor/rules/rdma_analysis.yaml create mode 100644 profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py diff --git a/profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py b/profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py new file mode 100644 index 0000000000..3683ef1b44 --- /dev/null +++ b/profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging + +from profiler.advisor.analyzer.base_analyzer import BaseAnalyzer +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.analyzer.cluster.Communication_retransmission_checker import CommunicationRetransmissionChecker +from profiler.advisor.display.html.render import HTMLRender +from profiler.advisor.dataset.cluster.cluster_dataset import ClusterCommunicationDataset + +logger = logging.getLogger() + + +class RDMARetransmissionAnalyzer(BaseAnalyzer): + dataset_cls_list = [ClusterCommunicationDataset] + + def __init__(self, collection_path, n_processes: int = 1, **kwargs) -> None: + super().__init__(collection_path, n_processes, **kwargs) + key = ClusterCommunicationDataset.get_key() + self.dataset = self.get_first_data_by_key(self.dataset_list, key) + self.result = OptimizeResult() + self.html_render = HTMLRender() + self.html = None + + @BaseAnalyzer.check_data((ClusterCommunicationDataset.get_key(),)) + def optimize(self, **kwargs): + add_render_list = kwargs.get("add_render_list", True) + rdma_checker = CommunicationRetransmissionChecker(**kwargs) + rdma_checker.check_retransmission(self.dataset) + if not rdma_checker.rdma_issues: + return self.result + rdma_checker.make_record(self.result) + self.html = rdma_checker.make_render(self.html_render, add_render_list) + return self.result diff --git a/profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py b/profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py new file mode 100644 index 0000000000..cc0f688e84 --- /dev/null +++ b/profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py @@ -0,0 +1,128 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import os +from typing import Dict, List +from collections import defaultdict +from profiler.advisor.dataset.cluster.cluster_dataset import ClusterCommunicationDataset +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.result.item import OptimizeItem, OptimizeRecord +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.dataset.cluster.hccl_collection import HcclInfo + +logger = logging.getLogger() + + +class GroupStatistic: + def __init__(self, min_transmission_time): + self.retransmission_issue = False + self.abnormal_op_dict: Dict[str, List] = dict() + + def add_op(self, op_name: str, hccl_info: HcclInfo): + if self.abnormal_op_dict.get(op_name) is None: + self.abnormal_op_dict.setdefault(op_name, []) + self.abnormal_op_dict.get(op_name).append([hccl_info.group, op_name, hccl_info.step, hccl_info.rank, + hccl_info.get_rdma_transit_size(), + hccl_info.get_rdma_transmit_time(), hccl_info.get_rdma_bandwidth()]) + + +class CommunicationRetransmissionChecker: + def __init__(self, **kwargs): + self.rdma_issues = False + self.desc = "" + self.sdma_desc = "" + self.rdma_desc = "" + self.suggestions = [] + self.abnormal_group_count = 0 + self.abnormal_rdma_list = [] + self.step_id = kwargs.get("step") + self.stage = None + self.group_statistics = defaultdict(GroupStatistic) + self.headers = ["Communication group", "Op name", "Step id", "Rank id", "RDMA transmit size(MB)", + "RDMA transmit time(ms)", "RDMA bandwidth"] + self._init_rule() + + def check_possible_retransmission_occurrence(self, hccl_list: List[HcclInfo]): + min_elapse_time = min(hccl.elapse_time for hccl in hccl_list) + max_transit_time = max(hccl.rdma_info.get('Transit Time(ms)', 0) for hccl in hccl_list) + if min_elapse_time < self.min_retransmission_time: # 检测是否是卡间不同步问题，而不是重传 + return False + return max_transit_time > self.min_retransmission_time + + def check_retransmission(self, hccl_dataset: ClusterCommunicationDataset): + """ + :Param event_dataset: dataset of timeline event + """ + for group_name, hccl_group_dict in hccl_dataset.hccl_dict.items(): + for op_name, hccl_op_dict in hccl_group_dict.items(): + for step_id, hccl_list in hccl_op_dict.items(): + if self.step_id and step_id != self.step_id: # 传输指定step（self.step_id）情况下，非目标step跳过 + continue + if not self.check_possible_retransmission_occurrence(hccl_list): + continue + self.rdma_issues = True + if self.group_statistics.get(group_name) is None: + self.group_statistics.setdefault(group_name, GroupStatistic(self.min_retransmission_time)) + self.abnormal_group_count += 1 + for hccl_info in hccl_list: + if hccl_info.rdma_info.get('Transit Size(MB)', 0): + transit_time = hccl_info.rdma_info.get('Transit Time(ms)', 0) + if transit_time > self.min_retransmission_time: + self.group_statistics.get(group_name).add_op(op_name, hccl_info) + if self.rdma_issues: + self.desc = self.desc.format(group_count=self.abnormal_group_count) + for _, group_statistic in self.group_statistics.items(): + for _, op_list in group_statistic.abnormal_op_dict.items(): + for op in op_list: + self.abnormal_rdma_list.append(op) + + def make_record(self, result: OptimizeResult): + """ + make record for what and how to optimize + """ + optimization_item = OptimizeItem("Communication retransmission analysis", self.desc, self.suggestions) + result.add(OptimizeRecord(optimization_item)) + + sub_table_name = "Comm Retransmission Analysis" if not self.stage else f"Stage-{self.stage}: Comm Retransmission Analysis" + result.add_detail(sub_table_name, headers=self.headers) + + for row in self.abnormal_rdma_list: + result.add_detail(sub_table_name, detail=row) + + def make_render(self, html_render, add_render_list=True): + return html_render.render_template(key="cluster", + template_dir="templates", + template_name="communication_retransmission_analysis.html", + desc=self.desc, + solutions=self.solutions, + headers=self.headers, + data=self.abnormal_rdma_list + ) + + def _init_rule(self): + syncbn_rule_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))), + "rules", + "rdma_analysis.yaml" + ) + + syncbn_rule = FileManager.read_yaml_file(syncbn_rule_path) + self.desc = syncbn_rule.get("problem") + self.min_retransmission_time = syncbn_rule.get("min_retransmission_time") + + self.solutions = syncbn_rule.get("solutions") + for solution in self.solutions: + for key, val in solution.items(): + self.suggestions.append(f"{key}, {val.get('desc')}") diff --git a/profiler/advisor/common/analyzer_scopes.py b/profiler/advisor/common/analyzer_scopes.py index 52e3e07554..db76aaa957 100644 --- a/profiler/advisor/common/analyzer_scopes.py +++ b/profiler/advisor/common/analyzer_scopes.py @@ -1,3 +1,17 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. class SupportedScopes: # used for specify fourth-level commands and define the key of the result dict @@ -6,6 +20,7 @@ class SupportedScopes: GRAPH = "graph" SLOW_RANK = "slow_rank" SLOW_LINK = "slow_link" + COMMUNICATION_RETRANSMISSION_DETECTION = "communication_retransmission_analysis" OVER_ALL = "over_all" DYNAMIC_SHAPE_ANALYSIS = "dynamic_shape_analysis" AICPU_ANALYSIS = "aicpu_analysis" diff --git a/profiler/advisor/dataset/cluster/cluster_dataset.py b/profiler/advisor/dataset/cluster/cluster_dataset.py index e1163f1cdd..b4956139c5 100644 --- a/profiler/advisor/dataset/cluster/cluster_dataset.py +++ b/profiler/advisor/dataset/cluster/cluster_dataset.py @@ -1,3 +1,17 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import logging import os @@ -10,6 +24,7 @@ from profiler.cluster_analyse.common_func.constant import Constant from collections import defaultdict from profiler.cluster_analyse.cluster_analysis import Interface from profiler.advisor.dataset.cluster.cluster_step_trace_time_bean import ClusterStepTraceTimeBean +from profiler.advisor.dataset.cluster.hccl_collection import HcclInfo logger = logging.getLogger() @@ -114,6 +129,7 @@ class ClusterCommunicationDataset(ClusterDataset): self.SDMA_TIME_MS: 0, self.SDMA_SIZE_MB: 0, }) + self.hccl_dict = defaultdict(lambda: defaultdict(lambda: defaultdict(list))) super().__init__(collection_path, data) @staticmethod @@ -136,9 +152,26 @@ class ClusterCommunicationDataset(ClusterDataset): def process(self, communication_json: dict): for comm_group, group_dict in communication_json.items(): + if self.hccl_dict.get(comm_group) is None: + self.hccl_dict.setdefault(comm_group, defaultdict(lambda: defaultdict(list))) for step, step_dict in group_dict.items(): for op, op_dict in step_dict.items(): self.compute_bandwidth(op_dict) + self.process_hccl_info(comm_group, step, op, op_dict) + + def process_hccl_info(self, group, step, op, op_dict): + op_name = op.split("@")[0] + for rank_id, rank_dict in op_dict.items(): + try: + hccl_info = HcclInfo(group, step, rank_id, op, rank_dict) + if self.hccl_dict[group].get(op_name) is None: + self.hccl_dict[group].setdefault(op_name, defaultdict(list)) + if self.hccl_dict[group][op_name].get(step) is None: + self.hccl_dict[group][op_name].setdefault(step, list()) + self.hccl_dict[group][op_name][step].append(hccl_info) + except ValueError as e: + msg = "[ERROR] Cluster_communication.json has invalid structure." + raise ValueError(msg) from e def compute_bandwidth(self, op_dict: dict): for rank_id, rank_dict in op_dict.items(): diff --git a/profiler/advisor/dataset/cluster/hccl_collection.py b/profiler/advisor/dataset/cluster/hccl_collection.py new file mode 100644 index 0000000000..bd6de81f13 --- /dev/null +++ b/profiler/advisor/dataset/cluster/hccl_collection.py @@ -0,0 +1,64 @@ +""" +hccl info +""" +import logging + +logger = logging.getLogger() + + +class HcclInfo(): + def __init__(self, group: str, step: str, rank: str, op: str, rank_dict: dict) -> None: + self._group = group + self._step = step + self._rank = rank + self._name = op.split("@")[0] + self._elapse_time = self.get_elapse_time(rank_dict, "Elapse Time(ms)") + self._sdma_info = self.get_communication_info(rank_dict, "SDMA") + self._rdma_info = self.get_communication_info(rank_dict, "RDMA") + + @property + def group(self): + return self._group + + @property + def step(self): + return self._step + + @property + def rank(self): + return self._rank + + @property + def name(self): + return self._name + + @property + def rdma_info(self): + return self._rdma_info + + @property + def sdma_info(self): + return self._sdma_info + + @property + def elapse_time(self): + return self._elapse_time + + @staticmethod + def get_communication_info(rank_dict: dict, name: str): + communication_bandwidth_info = rank_dict.get('Communication Bandwidth Info', dict()) + return communication_bandwidth_info.get(name, dict()) + + @staticmethod + def get_elapse_time(rank_dict: dict, name: str): + communication_time_info = rank_dict.get('Communication Time Info', dict()) + return communication_time_info.get(name, "") + + def get_rdma_transmit_time(self): + return self.rdma_info.get('Transit Time(ms)', 0) + + def get_rdma_transit_size(self): + return self.rdma_info.get('Transit Size(MB)', 0) + + def get_rdma_bandwidth(self): + return self.rdma_info.get('Bandwidth(GB/s)', 0) diff --git a/profiler/advisor/display/html/templates/communication_retransmission_analysis.html b/profiler/advisor/display/html/templates/communication_retransmission_analysis.html new file mode 100644 index 0000000000..75754fde72 --- /dev/null +++ b/profiler/advisor/display/html/templates/communication_retransmission_analysis.html @@ -0,0 +1,40 @@ + diff --git a/profiler/advisor/interface/interface.py b/profiler/advisor/interface/interface.py index 1d3872a178..61b5729503 100644 --- a/profiler/advisor/interface/interface.py +++ b/profiler/advisor/interface/interface.py @@ -1,3 +1,17 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import os from collections import OrderedDict import sys @@ -11,6 +25,7 @@ from profiler.advisor.analyzer.graph_fusion.graph_fusion_analyzer import FusionO from profiler.advisor.common.analyzer_scopes import SupportedScopes from profiler.advisor.analyzer.cluster.slow_rank_analyser import SlowRankAnalyzer from profiler.advisor.analyzer.cluster.slow_link_analyser import SlowLinkAnalyzer +from profiler.advisor.analyzer.cluster.Communication_retransmission_analyzer import RDMARetransmissionAnalyzer from profiler.advisor.analyzer.overall.overall_summary_analyzer import OverallSummaryAnalyzer from profiler.advisor.analyzer.schedule.dispatch.timeline_op_dispatch_analyzer import OpDispatchAnalyzer from profiler.advisor.analyzer.schedule.syncbn.syncbn_analyzer import SyncBNAnalyzer @@ -39,6 +54,7 @@ class Interface: "overall": OrderedDict({SupportedScopes.OVER_ALL: OverallSummaryAnalyzer}), "dataloader": OrderedDict({SupportedScopes.DATALOADER: DataloaderAnalyzer}), "cluster": OrderedDict({ + SupportedScopes.COMMUNICATION_RETRANSMISSION_DETECTION: RDMARetransmissionAnalyzer, SupportedScopes.SLOW_RANK: SlowRankAnalyzer, SupportedScopes.SLOW_LINK: SlowLinkAnalyzer }) diff --git a/profiler/advisor/rules/rdma_analysis.yaml b/profiler/advisor/rules/rdma_analysis.yaml new file mode 100644 index 0000000000..6c60627757 --- /dev/null +++ b/profiler/advisor/rules/rdma_analysis.yaml @@ -0,0 +1,9 @@ +problem: "RDMA communication retransmission occurs. A single retransmission takes more than 4s. Retransmission problems +are detected in {group_count} communication domains. \n +Advised to perform the following suggestions" +min_retransmission_time: 4000 #ms +solutions: + - check RDMA transmission time: + desc: "Check whether the transmission time of the RDMA operator that is suspected to be retransmitted is correct." + - Check the network configuration.: + desc: "Check the network configuration of the switch and compute node server." \ No newline at end of file diff --git a/profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py b/profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py new file mode 100644 index 0000000000..eb383a6599 --- /dev/null +++ b/profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py @@ -0,0 +1,170 @@ +import os +import shutil +import stat +import json + +import unittest +from profiler.advisor.interface.interface import Interface +from profiler.advisor.common.analyzer_scopes import SupportedScopes + + +class TestRdmaAdvice(unittest.TestCase): + TMP_DIR = "./tmp/" + OUTPUT_DIR = "./tmp/cluster_analysis_output" + interface = None + err_interface = None + + def tearDown(self): + if os.path.exists(TestRdmaAdvice.TMP_DIR): + shutil.rmtree(TestRdmaAdvice.TMP_DIR) + if os.path.exists(TestRdmaAdvice.OUTPUT_DIR): + shutil.rmtree(TestRdmaAdvice.OUTPUT_DIR) + self.clear_htmls() + + def setUp(self): + if os.path.exists(TestRdmaAdvice.TMP_DIR): + shutil.rmtree(TestRdmaAdvice.TMP_DIR) + if not os.path.exists(TestRdmaAdvice.TMP_DIR): + os.makedirs(TestRdmaAdvice.TMP_DIR) + if not os.path.exists(TestRdmaAdvice.OUTPUT_DIR): + os.makedirs((TestRdmaAdvice.OUTPUT_DIR)) + self.clear_htmls() + + @classmethod + def clear_htmls(cls): + current_path = os.path.dirname(os.path.abspath(__file__)) + for filename in os.listdir(current_path): + # 检查文件是否以“mstt”开头 + if filename.startswith("mstt"): + # 构建文件的完整路径 + file_path = os.path.join(current_path, filename) + # 删除文件 + os.remove(file_path) + + @classmethod + def get_cluster_communication_view(cls): + data = {"p2p":{"step1" : { + "hcom_broadcast__844_0_1@13681369207305868844": { + "0": { + "Communication Time Info": { + "Start Timestamp(us)": 1713174287354248.0, + "Elapse Time(ms)": 4688, + "Transit Time(ms)": 0, + "Wait Time(ms)": 0.01162, + "Synchronization Time(ms)": 0.01162, + "Idle Time(ms)": 39.0606, + "Wait Time Ratio": 1.0, + "Synchronization Time Ratio": 1.0 + }, + "Communication Bandwidth Info": { + "RDMA": { + "Transit Size(MB)": 80, + "Transit Time(ms)": 4600, + "Bandwidth(GB/s)": 0.003, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "HCCS": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "PCIE": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SDMA": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SIO": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + } + } + }, + "16": { + "Communication Time Info": { + "Start Timestamp(us)": 1713174287186619.8, + "Elapse Time(ms)": 4788, + "Transit Time(ms)": 0.0013, + "Wait Time(ms)": 39.037240000000004, + "Synchronization Time(ms)": 39.03034, + "Idle Time(ms)": 167.66008000000002, + "Wait Time Ratio": 1.0, + "Synchronization Time Ratio": 1.0 + }, + "Communication Bandwidth Info": { + "RDMA": { + "Transit Size(MB)": 80, + "Transit Time(ms)": 4700, + "Bandwidth(GB/s)": 0.0033, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "HCCS": { + "Transit Size(MB)": 4e-05, + "Transit Time(ms)": 0.0013, + "Bandwidth(GB/s)": 0.0308, + "Large Packet Ratio": 0.0, + "Size Distribution": { + "4e-05": [ + 1, + 0.0013 + ] + } + }, + "PCIE": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SDMA": { + "Transit Size(MB)": 4e-05, + "Transit Time(ms)": 0.0013, + "Bandwidth(GB/s)": 0.0308, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SIO": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + } + } + }, + } + }}} + return data + + @classmethod + def create_communicaton_json(cls): + raw_data = cls.get_cluster_communication_view() + with os.fdopen(os.open(f"{TestRdmaAdvice.OUTPUT_DIR}/cluster_communication.json", + os.O_WRONLY | os.O_CREAT, stat.S_IWUSR | stat.S_IRUSR), 'w') as fp: + fp.write(json.dumps(raw_data)) + + def test_run_should_run_success_when_contain_cluster_communication_json(self): + self.create_communicaton_json() + interface = Interface(profiling_path=self.TMP_DIR) + dimension = "cluster" + scope = SupportedScopes.COMMUNICATION_RETRANSMISSION_DETECTION + result = interface.get_result(dimension, scope, render_html=1, output_dict=False, profiling_path=self.TMP_DIR) + self.assertEqual(2, len(result.data.get("Comm Retransmission Analysis", []))) + self.assertEqual(2, len(result.data.get("Comm Retransmission Analysis", []).get('data'))) + result.clear() -- Gitee From 5a3c1f2bdb2850967a8e4c04ccb93a026bde5ea2 Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Wed, 7 Aug 2024 17:19:04 +0800 Subject: [PATCH 089/160] rename multiprocess_compute --- .../{Multiprocessing_compute.py => multiprocessing_compute.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename debug/accuracy_tools/msprobe/core/compare/{Multiprocessing_compute.py => multiprocessing_compute.py} (100%) diff --git a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py b/debug/accuracy_tools/msprobe/core/compare/multiprocessing_compute.py similarity index 100% rename from debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py rename to debug/accuracy_tools/msprobe/core/compare/multiprocessing_compute.py -- Gitee From 94f3f887b8b8fec384899810f3af928cd76413c2 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Wed, 7 Aug 2024 17:30:46 +0800 Subject: [PATCH 090/160] add online run_ut --- .../api_accuracy_checker/run_ut/run_ut.py | 20 +++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 04ad039b24..3e5fae413e 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -544,20 +544,24 @@ def run_ut_command(args): except Exception as error: logger.error(f"Set device id failed. device id is: {args.device_id}") raise NotImplementedError from error - check_link(args.api_info_file) - api_info = os.path.realpath(args.api_info_file) - check_file_suffix(api_info, FileCheckConst.JSON_SUFFIX) + + forward_content, backward_content, real_data_path = None, None, None + if args.api_info_file: + check_link(args.api_info_file) + api_info = os.path.realpath(args.api_info_file) + check_file_suffix(api_info, FileCheckConst.JSON_SUFFIX) + forward_content, backward_content, real_data_path = parse_json_info_forward_backward(api_info) + if args.filter_api: + logger.info("Start filtering the api in the forward_input_file.") + forward_content = preprocess_forward_content(forward_content) + logger.info("Finish filtering the api in the forward_input_file.") + out_path = os.path.realpath(args.out_path) if args.out_path else "./" check_path_before_create(out_path) create_directory(out_path) out_path_checker = FileChecker(out_path, FileCheckConst.DIR, ability=FileCheckConst.WRITE_ABLE) out_path = out_path_checker.common_check() save_error_data = args.save_error_data - forward_content, backward_content, real_data_path = parse_json_info_forward_backward(api_info) - if args.filter_api: - logger.info("Start filtering the api in the forward_input_file.") - forward_content = preprocess_forward_content(forward_content) - logger.info("Finish filtering the api in the forward_input_file.") result_csv_path = os.path.join(out_path, RESULT_FILE_NAME) details_csv_path = os.path.join(out_path, DETAILS_FILE_NAME) -- Gitee From e2120d0bce572fed561462caebca1b5bcba7a8a3 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 17:42:22 +0800 Subject: [PATCH 091/160] =?UTF-8?q?=E5=88=A0=E9=99=A4=E9=87=8D=E5=A4=8D?= =?UTF-8?q?=E4=BB=A3=E7=A0=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 840f97b9a4..a7c8ea72cc 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -175,9 +175,6 @@ class Service: prefix = BaseScope.Module_Type_Module + Const.SEP + name + Const.SEP + \ module.__class__.__name__ + Const.SEP - module.register_full_backward_hook( - self.module_processor.node_hook(prefix + Const.BACKWARD, Const.STOP)) - pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 \ = self.build_hook(BaseScope.Module_Type_Module, prefix) if torch_version_above_2: -- Gitee From 72874dc0f3d3c85ca1ad3f6f80aa9b18f3a832a2 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Wed, 7 Aug 2024 18:20:56 +0800 Subject: [PATCH 092/160] add online run_ut --- .../msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 3e5fae413e..a3cd6c81b2 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -288,7 +288,7 @@ def run_api_online(config, compare): if isinstance(api_data, ApiData): dispatcher.update_consume_queue(api_data) - if config.nfs_path: + if config.online_config.nfs_path: shared_storage_communication_flow() else: tcp_communication_flow() -- Gitee From 1b938e42518b8296068ae01e3d294597cdedf25c Mon Sep 17 00:00:00 2001 From: Linwei-Ying Date: Wed, 7 Aug 2024 18:27:34 +0800 Subject: [PATCH 093/160] ptdbg dump bugfix when distributed api --- .../ptdbg_ascend/src/python/ptdbg_ascend/dump/utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/utils.py b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/utils.py index 80798ff415..583829074a 100644 --- a/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/utils.py +++ b/debug/accuracy_tools/ptdbg_ascend/src/python/ptdbg_ascend/dump/utils.py @@ -21,7 +21,7 @@ range_begin_flag, range_end_flag = False, False def check_list_or_acl_mode(name_prefix): global dump_count for item in DumpUtil.dump_switch_scope: - if PRE_FORWARD in name_prefix: + if Const.PRE_FORWARD in name_prefix: rename = item.rsplit(Const.DOT, 1)[0] if name_prefix.startswith(rename): return True -- Gitee From 5f8c61f98986b9f2451fa87cf44a83769b8de87b Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 7 Aug 2024 18:36:50 +0800 Subject: [PATCH 094/160] =?UTF-8?q?clean=20code=E4=BB=A3=E7=A0=81=E4=BC=98?= =?UTF-8?q?=E5=8C=96=EF=BC=8Cut=E9=80=82=E9=85=8D?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/acc_compare.py | 1 + .../msprobe/mindspore/__init__.py | 1 + .../msprobe/mindspore/compare/compare_cli.py | 4 +-- .../msprobe/mindspore/compare/ms_compare.py | 2 +- .../msprobe/pytorch/compare/pt_compare.py | 2 +- .../test/pytorch_ut/advisor/test_advisor.py | 4 +-- .../pytorch_ut/compare/test_acc_compare.py | 33 ++++++++++--------- .../test/pytorch_ut/compare/test_match.py | 2 +- 8 files changed, 27 insertions(+), 22 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 084f8c9e9b..015e332283 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -10,6 +10,7 @@ class Comparator: def __init__(self): pass + @classmethod def match_op(self,npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): if check_op(npu_queue[-1], b_op, fuzzy_match): diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index 70be414976..dfe872c526 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1,2 +1,3 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger from .compare.distributed_compare import compare_distributed +from .compare.ms_compare import ms_compare \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py index 368a953108..23582592f7 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py @@ -16,8 +16,8 @@ def compare_cli_ms(args): ms_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: - logger.error('This function is not supported at this time.') - raise Exception("Mindspore Unsupport function compare_distributed.") + logger.error('Mindspore Unsupport function compare_distributed.') + raise Exception() else: logger.error("The npu_path and bench_path need to be of the same type.") raise CompareException(CompareException.INVALID_COMPARE_MODE) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 23764a49d4..ddf51e314c 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -235,7 +235,7 @@ def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise Exception(error.code) msComparator=MSComparator() msComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 43f628dd02..88821f6fd6 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -237,7 +237,7 @@ def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise Exception(error.code) ptComparator=PTComparator() ptComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py index 176b80068f..e140f82638 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py @@ -7,8 +7,8 @@ from unittest.mock import patch import pandas -from msprobe.pytorch.advisor.advisor import Advisor -from msprobe.pytorch.advisor.advisor_const import AdvisorConst +from msprobe.core.advisor.advisor import Advisor +from msprobe.core.advisor.advisor_const import AdvisorConst class TestAdvisor(unittest.TestCase): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py index 288e259c0a..b97dcc5d94 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py @@ -1,7 +1,10 @@ # coding=utf-8 import unittest import pandas as pd -from msprobe.pytorch.compare import acc_compare as compare +from msprobe.core.compare.check import check_graph_mode, check_op +from msprobe.core.compare.utils import merge_tensor, read_op, get_accuracy, rename_api +from msprobe.core.compare.acc_compare import Comparator +from msprobe.core.compare.highlight import find_error_rows,find_compare_result_error_rows npu_dict = {'op_name': ['Functional_conv2d_0_forward_input.0', 'Functional_conv2d_0_forward_input.1', 'Functional_conv2d_0_forward_input.2', 'Functional_conv2d_0_forward_output'], @@ -208,60 +211,60 @@ class TestUtilsMethods(unittest.TestCase): def test_check_graph_mode(self): op1 = "Aten" op2 = "torch" - self.assertTrue(compare.check_graph_mode(op1, op2)) - self.assertTrue(compare.check_graph_mode(op2, op1)) - self.assertFalse(compare.check_graph_mode(op1, op1)) - self.assertFalse(compare.check_graph_mode(op2, op2)) + self.assertTrue(check_graph_mode(op1, op2)) + self.assertTrue(check_graph_mode(op2, op1)) + self.assertFalse(check_graph_mode(op1, op1)) + self.assertFalse(check_graph_mode(op2, op2)) def test_check_op(self): fuzzy_match = False - result = compare.check_op(npu_dict, bench_dict, fuzzy_match) + result = check_op(npu_dict, bench_dict, fuzzy_match) self.assertEqual(result, True) def test_merge_tensor(self): - op_dict = compare.merge_tensor(tensor_list, True, False) + op_dict = merge_tensor(tensor_list, True, False) self.assertEqual(op_dict, result_op_dict) def test_read_op(self): - result = compare.read_op(op_data, op_name) + result = read_op(op_data, op_name) self.assertEqual(result, op_result) def test_match_op(self): fuzzy_match = False - a, b = compare.match_op([npu_dict], [bench_dict], fuzzy_match) + a, b = Comparator.match_op([npu_dict], [bench_dict], fuzzy_match) self.assertEqual(a, 0) self.assertEqual(b, 0) def test_get_accuracy(self): result = [] - compare.get_accuracy(result, npu_dict, bench_dict, highlight_dict) + get_accuracy(result, npu_dict, bench_dict, highlight_dict) self.assertEqual(result, o_result) def test_get_accuracy_graph_mode(self): result = [] - compare.get_accuracy(result, npu_dict_aten, bench_dict_functional, highlight_dict) + get_accuracy(result, npu_dict_aten, bench_dict_functional, highlight_dict) self.assertEqual(result, aten_result) def test_find_error_rows(self): summary_result = [summary_line_input, summary_line_1, summary_line_2, summary_line_3] highlight_dict = {'red_rows': [], 'yellow_rows': []} - compare.find_error_rows(summary_result, 0, 1, highlight_dict, summary_compare=True) + find_error_rows(summary_result, 0, 1, highlight_dict, summary_compare=True) self.assertEqual(highlight_dict, {'red_rows': [], 'yellow_rows': []}) def test_find_compare_result_error_rows(self): result = [line_input, line_1, line_2, line_3] result_df = pd.DataFrame(result) highlight_dict = {'red_rows': [], 'yellow_rows': []} - compare.find_compare_result_error_rows(result_df, highlight_dict, False, False) + find_compare_result_error_rows(result_df, highlight_dict, False, False) self.assertEqual(highlight_dict, {'red_rows': [num_1, num_3], 'yellow_rows': [num_2]}) def test_rename_api(self): test_name_1 = "Distributed.broadcast.0.forward.input.0" expect_name_1 = "Distributed.broadcast.input.0" - actual_name_1 = compare.rename_api(test_name_1, "forward") + actual_name_1 = rename_api(test_name_1, "forward") self.assertEqual(actual_name_1, expect_name_1) test_name_2 = "Torch.sum.0.backward.output.0" expect_name_2 = "Torch.sum.output.0" - actual_name_2 = compare.rename_api(test_name_2, "backward") + actual_name_2 = rename_api(test_name_2, "backward") self.assertEqual(actual_name_2, expect_name_2) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py index ac28e994e9..5dbe4453a0 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py @@ -1,6 +1,6 @@ # coding=utf-8 import unittest -from msprobe.pytorch.compare import match +from msprobe.core.compare import match class TestMatch(unittest.TestCase): -- Gitee From 339f87beeb1c36913f58c1b613717e78dc238a78 Mon Sep 17 00:00:00 2001 From: makai Date: Wed, 7 Aug 2024 18:48:29 +0800 Subject: [PATCH 095/160] replace self.real_overflow_dump_times with self.real_overflow_dump_nums --- .../msprobe/core/data_dump/data_processor/base.py | 6 +++--- .../core/data_dump/data_processor/mindspore_processor.py | 2 +- .../core/data_dump/data_processor/pytorch_processor.py | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index 80db0104bd..c6dfcda2cb 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -65,7 +65,7 @@ class BaseDataProcessor: self.current_iter = 0 self._return_forward_new_output = False self._forward_new_output = None - self.real_overflow_dump_times = 0 + self.real_overflow_dump_nums = 0 self.overflow_nums = config.overflow_nums @property @@ -76,8 +76,8 @@ class BaseDataProcessor: def is_terminated(self): if self.overflow_nums == -1: return False - if self.real_overflow_dump_times >= self.overflow_nums: - logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_times}") + if self.real_overflow_dump_nums >= self.overflow_nums: + logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_nums}") return True return False diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index 877fc3a01a..dd385209ef 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -173,7 +173,7 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): tensor = convert_bf16_to_fp32(tensor) np.save(file_path, tensor.asnumpy()) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - self.real_overflow_dump_times += 1 + self.real_overflow_dump_nums += 1 self.cached_tensors_and_file_paths = {} def _analyze_maybe_overflow_tensor(self, tensor_json): diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 191a33f9f7..3c0305348b 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -207,7 +207,7 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): for file_path, tensor in self.cached_tensors_and_file_paths.items(): torch.save(tensor, file_path) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - self.real_overflow_dump_times += 1 + self.real_overflow_dump_nums += 1 self.cached_tensors_and_file_paths = {} def check_overflow_npu(self): -- Gitee From aa41dbf108fa0fb3f96209e83095f4e0b1f926ab Mon Sep 17 00:00:00 2001 From: makai Date: Wed, 7 Aug 2024 18:53:23 +0800 Subject: [PATCH 096/160] replace self.real_overflow_dump_nums with self.real_overflow_nums --- .../msprobe/core/data_dump/data_processor/base.py | 6 +++--- .../core/data_dump/data_processor/mindspore_processor.py | 2 +- .../core/data_dump/data_processor/pytorch_processor.py | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index c6dfcda2cb..9acac5e8ef 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -65,7 +65,7 @@ class BaseDataProcessor: self.current_iter = 0 self._return_forward_new_output = False self._forward_new_output = None - self.real_overflow_dump_nums = 0 + self.real_overflow_nums = 0 self.overflow_nums = config.overflow_nums @property @@ -76,8 +76,8 @@ class BaseDataProcessor: def is_terminated(self): if self.overflow_nums == -1: return False - if self.real_overflow_dump_nums >= self.overflow_nums: - logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_dump_nums}") + if self.real_overflow_nums >= self.overflow_nums: + logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_nums}") return True return False diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index dd385209ef..1a31f935e7 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -173,7 +173,7 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): tensor = convert_bf16_to_fp32(tensor) np.save(file_path, tensor.asnumpy()) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - self.real_overflow_dump_nums += 1 + self.real_overflow_nums += 1 self.cached_tensors_and_file_paths = {} def _analyze_maybe_overflow_tensor(self, tensor_json): diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 3c0305348b..f54d971552 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -207,7 +207,7 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): for file_path, tensor in self.cached_tensors_and_file_paths.items(): torch.save(tensor, file_path) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - self.real_overflow_dump_nums += 1 + self.real_overflow_nums += 1 self.cached_tensors_and_file_paths = {} def check_overflow_npu(self): -- Gitee From 780ae4373a80d835ef8f1903bf5187ed5a368a22 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Wed, 7 Aug 2024 19:07:10 +0800 Subject: [PATCH 097/160] =?UTF-8?q?compare=E5=87=BD=E6=95=B0=E4=B8=AD?= =?UTF-8?q?=E5=A2=9E=E5=8A=A0=E5=BC=82=E5=B8=B8=E6=8D=95=E8=8E=B7?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/mindspore/compare/distributed_compare.py | 2 +- debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py | 2 +- .../msprobe/pytorch/compare/distributed_compare.py | 2 +- debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 0973e7ffe8..1e9586fbab 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -107,7 +107,7 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): check_compare_param(dump_result_param, output_path, summary_compare=summary_compare, md5_compare=md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise CompareException(error.code) from error msComparator=MSComparator() msComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index ddf51e314c..b42881ed44 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -235,7 +235,7 @@ def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - raise Exception(error.code) + raise CompareException(error.code) from error msComparator=MSComparator() msComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index f4596ba49d..05c274b154 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -108,7 +108,7 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): check_compare_param(dump_result_param, output_path, summary_compare=summary_compare, md5_compare=md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise CompareException(error.code) from error ptComparator=PTComparator() ptComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 88821f6fd6..dd7f8fc177 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -237,7 +237,7 @@ def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - raise Exception(error.code) + raise CompareException(error.code) from error ptComparator=PTComparator() ptComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, -- Gitee From 68ae7ed988ef6703a640c1144d658af3e0de4022 Mon Sep 17 00:00:00 2001 From: wangqihui01 Date: Tue, 6 Aug 2024 10:21:15 +0800 Subject: [PATCH 098/160] =?UTF-8?q?=E6=94=AF=E6=8C=81=E7=8E=AF=E5=A2=83?= =?UTF-8?q?=E5=8F=98=E9=87=8F=E5=88=86=E6=9E=90=EF=BC=8C=E7=BB=99=E5=87=BA?= =?UTF-8?q?=E7=9B=B8=E5=85=B3=E5=BB=BA=E8=AE=AE?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- profiler/advisor/README.md | 4 + .../overall/environment_variable_analyzer.py | 47 ++++++++ .../overall/environment_variable_checker.py | 102 ++++++++++++++++++ profiler/advisor/common/analyzer_scopes.py | 1 + profiler/advisor/common/constant.py | 1 + .../dataset/environment_variable_dataset.py | 47 ++++++++ .../html/templates/environment_variable.html | 21 ++++ profiler/advisor/img/env_var.png | Bin 0 -> 61753 bytes profiler/advisor/interface/interface.py | 6 +- .../rules/environment_variable_info.yaml | 42 ++++++++ ...347\275\221URL\350\257\264\346\230\216.md" | 1 + 11 files changed, 271 insertions(+), 1 deletion(-) create mode 100644 profiler/advisor/analyzer/overall/environment_variable_analyzer.py create mode 100644 profiler/advisor/analyzer/overall/environment_variable_checker.py create mode 100644 profiler/advisor/dataset/environment_variable_dataset.py create mode 100644 profiler/advisor/display/html/templates/environment_variable.html create mode 100644 profiler/advisor/img/env_var.png create mode 100644 profiler/advisor/rules/environment_variable_info.yaml diff --git a/profiler/advisor/README.md b/profiler/advisor/README.md index 04dd0b8434..0f6a038077 100644 --- a/profiler/advisor/README.md +++ b/profiler/advisor/README.md @@ -65,6 +65,7 @@ msprof-analyze的advisor功能是将Ascend PyTorch Profiler或者msprof采集的 | dimension | mode | 参数释义 | | ---------- |---------------------------------------| ------------------------------------ | | overall | overall_summary | 计算、通信、空闲等维度对性能数据进行拆解 | +| | environment_variable_analysis | 环境变量设置推荐 | | cluster | slow_rank | 慢卡识别 | | | slow_link | 慢链路识别 | | | communication_retransmission_analysis |通信重传检测 | @@ -142,6 +143,9 @@ overall模块的分析包含当前训练任务慢卡的性能拆解，按照计 ![输入图片说明](./img/overall.png) +overall模块的environment_variable_analysis是对环境变量的设置做出推荐 +![env_var.png](img%2Fenv_var.png) + schedule模块包含亲和API、aclOpCompile、syncBatchNorm、SynchronizeStream等多项检测。 如下图示例，Operator Dispatch Issues提示需要在运行脚本的最开头添加如下代码用于消除aclOpCompile： diff --git a/profiler/advisor/analyzer/overall/environment_variable_analyzer.py b/profiler/advisor/analyzer/overall/environment_variable_analyzer.py new file mode 100644 index 0000000000..3daaa34609 --- /dev/null +++ b/profiler/advisor/analyzer/overall/environment_variable_analyzer.py @@ -0,0 +1,47 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging + +from profiler.advisor.analyzer.base_analyzer import BaseAnalyzer +from profiler.prof_common.path_manager import PathManager +from profiler.advisor.dataset.environment_variable_dataset import EnvironmentVariableDataset +from profiler.advisor.analyzer.overall.environment_variable_checker import EnvironmentVariabelChecker + + +class EnvironmentVariabelAnalyzer(BaseAnalyzer): + dataset_cls_list = [EnvironmentVariableDataset] + + def __init__(self, collection_path: str, n_processes: int = 1, **kwargs): + super().__init__(collection_path, n_processes, **kwargs) + self.dataset = self.get_first_data_by_key(self.dataset_list, EnvironmentVariableDataset.get_key()) + + def optimize(self, **kwargs): + try: + PathManager.check_input_directory_path(self.collection_path) + except RuntimeError as e: + logging.error("Invalid path: %s", str(e)) + return self.result + self.collection_path = PathManager.get_realpath(self.collection_path) + checker = EnvironmentVariabelChecker() + checker.format_env_suggest(self.dataset) + checker.make_record(self.result) + checker.make_render(self.html_render) + return self.result + + def make_record(self): + pass + + def make_render(self): + pass diff --git a/profiler/advisor/analyzer/overall/environment_variable_checker.py b/profiler/advisor/analyzer/overall/environment_variable_checker.py new file mode 100644 index 0000000000..ca316530d7 --- /dev/null +++ b/profiler/advisor/analyzer/overall/environment_variable_checker.py @@ -0,0 +1,102 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os + +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.result.item import OptimizeItem +from profiler.advisor.result.item import OptimizeRecord +from profiler.advisor.common.analyzer_scopes import SupportedScopes +from profiler.advisor.display.html.render import HTMLRender + + +class EnvironmentVariabelChecker: + ENV_SUGGEST_CONDITION = { + "ASCEND_GLOBAL_LOG_LEVEL": lambda x: x != "" and x != 3, + "HCCL_RDAM_TC": lambda x: x != "", + "HCCL_RDMA_SL": lambda x: x != "", + "ACLNN_CACHE_LIMIT": lambda x: x == "" or (isinstance(x, int) and x < 10000), + "HOST_CACHE_CAPACITY": lambda x: x == "" or x == 0, + "ASCEND_ENHANCE_ENABLE": lambda x: x == 0, + "PYTORCH_NPU_ALLOC_CONF": lambda x: "expandable_segments:True" not in x, + "ASCEND_LAUNCH_BLOCKING": lambda x: x != 1, + } + + HEADERS = ["Environment", "Value", "Description", "Suggestion"] + + def __init__(self): + self.environment_info = self.read_environment_info() + self.env_suggest_csv = [] + self.env_suggest_html = [] + + @staticmethod + def read_environment_info(): + environment_variable_info_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))), + "rules", + "environment_variable_info.yaml" + ) + return FileManager.read_yaml_file(environment_variable_info_path) + + def format_env_suggest(self, data): + data = data.env_data.get('ENV_VARIABLES', {}) + for env, value in data.items(): + if not self.ENV_SUGGEST_CONDITION.get(env, lambda x: False)(value): + continue + desc = self.environment_info.get(env, {}).get("desc", "") + suggest = self.environment_info.get(env, {}).get("suggest", "") + self.env_suggest_csv += [ + [ + env, + value, + desc, + suggest, + ] + ] + self.env_suggest_html += [ + [ + env, + value, + desc.replace('\n', '
'), + self.environment_info.get(env, {}).get("suggest_html", suggest), + ] + ] + + def make_record(self, result: OptimizeResult): + if not self.env_suggest_csv: + return + desc = f"Describe and suggest the optimal environment variable settings" + suggestion = "Please set the optimal environment variable" + + optimization_item = OptimizeItem( + SupportedScopes.ENVIRONMENT_VARIABLE_ANALYSIS, + desc, + [suggestion] + ) + result.add(OptimizeRecord(optimization_item)) + result.add_detail(SupportedScopes.ENVIRONMENT_VARIABLE_ANALYSIS, headers=self.HEADERS) + for env_suggest in self.env_suggest_csv: + result.add_detail(SupportedScopes.ENVIRONMENT_VARIABLE_ANALYSIS, detail=env_suggest) + + def make_render(self, html_render: HTMLRender): + if not self.env_suggest_html: + return + html_render.render_template(key="overall", + template_dir="templates", + template_name="environment_variable.html", + result={ + "headers": self.HEADERS, + "data": self.env_suggest_html, + }) diff --git a/profiler/advisor/common/analyzer_scopes.py b/profiler/advisor/common/analyzer_scopes.py index 3d20374d49..b947798c9e 100644 --- a/profiler/advisor/common/analyzer_scopes.py +++ b/profiler/advisor/common/analyzer_scopes.py @@ -23,6 +23,7 @@ class SupportedScopes: COMMUNICATION_RETRANSMISSION_DETECTION = "communication_retransmission_analysis" PACKET = "packet_analysis" OVER_ALL = "over_all" + ENVIRONMENT_VARIABLE_ANALYSIS = "environment_variable_analysis" DYNAMIC_SHAPE_ANALYSIS = "dynamic_shape_analysis" AICPU_ANALYSIS = "aicpu_analysis" BLOCK_DIM_ANALYSIS = "block_dim_analysis" diff --git a/profiler/advisor/common/constant.py b/profiler/advisor/common/constant.py index cdc0dd4e5d..c97cfbfd11 100644 --- a/profiler/advisor/common/constant.py +++ b/profiler/advisor/common/constant.py @@ -75,6 +75,7 @@ CANN_VERSION_C17 = '8.0.RC1' SUPPORTED_CANN_VERSION = [CANN_VERSION_C30, CANN_VERSION_C13, CANN_VERSION_C15, CANN_VERSION_C17] DEFAULT_CANN_VERSION = CANN_VERSION_C17 ASCEND_PYTORCH_PROFILER = "ascend_pytorch_profiler" +PROFILER_METADATA = "profiler_metadata.json" MSLITE = "mslite" MSPROF = "msprof" SUPPORTED_PROFILING_TYPE = [ASCEND_PYTORCH_PROFILER, MSLITE, MSPROF] diff --git a/profiler/advisor/dataset/environment_variable_dataset.py b/profiler/advisor/dataset/environment_variable_dataset.py new file mode 100644 index 0000000000..577273ffe8 --- /dev/null +++ b/profiler/advisor/dataset/environment_variable_dataset.py @@ -0,0 +1,47 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import os +import logging + +from profiler.advisor.common import constant +from profiler.cluster_analyse.common_func.file_manager import FileManager + + +class EnvironmentVariableDataset: + def __init__(self, collection_path, data: dict, **kwargs): + self.collection_path = collection_path + self.env_data = {} + self.read_data() + + @staticmethod + def get_env_data_file(collection_path: str) -> str: + for root, _, files in os.walk(collection_path): + for file_name in files: + if file_name == constant.PROFILER_METADATA: + return os.path.join(root, file_name) + return "" + + @classmethod + def get_key(cls): + return cls.__module__.rsplit('.', maxsplit=1)[-1] + + def read_data(self): + data_path = self.get_env_data_file(self.collection_path) + if not data_path: + return + try: + self.env_data = FileManager.read_json_file(data_path) + except RuntimeError as e: + logging.error("Read json failed. %s", str(e)) diff --git a/profiler/advisor/display/html/templates/environment_variable.html b/profiler/advisor/display/html/templates/environment_variable.html new file mode 100644 index 0000000000..ab95096393 --- /dev/null +++ b/profiler/advisor/display/html/templates/environment_variable.html @@ -0,0 +1,21 @@ +
+

Environment Variable Issues

+
+ + + {% for header in result.get("headers") %} + + {% endfor %} + + + {% for row in result.get("data") %} + + {% for value in row %} + + {% endfor %} + + {% endfor %} + +
{{ header }}
{{ value|safe }}
+
+
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a/profiler/advisor/interface/interface.py +++ b/profiler/advisor/interface/interface.py @@ -27,6 +27,7 @@ from profiler.advisor.analyzer.cluster.slow_rank_analyser import SlowRankAnalyze from profiler.advisor.analyzer.cluster.slow_link_analyser import SlowLinkAnalyzer from profiler.advisor.analyzer.cluster.Communication_retransmission_analyzer import RDMARetransmissionAnalyzer from profiler.advisor.analyzer.overall.overall_summary_analyzer import OverallSummaryAnalyzer +from profiler.advisor.analyzer.overall.environment_variable_analyzer import EnvironmentVariabelAnalyzer from profiler.advisor.analyzer.schedule.dispatch.timeline_op_dispatch_analyzer import OpDispatchAnalyzer from profiler.advisor.analyzer.schedule.syncbn.syncbn_analyzer import SyncBNAnalyzer from profiler.advisor.analyzer.schedule.synchronize_stream.synchronize_stream_analyzer import SynchronizeStreamAnalyzer @@ -54,7 +55,10 @@ class Interface: "communication": OrderedDict({ SupportedScopes.PACKET: PacketAnalyzer }), - "overall": OrderedDict({SupportedScopes.OVER_ALL: OverallSummaryAnalyzer}), + "overall": OrderedDict({ + SupportedScopes.ENVIRONMENT_VARIABLE_ANALYSIS: EnvironmentVariabelAnalyzer, + SupportedScopes.OVER_ALL: OverallSummaryAnalyzer, + }), "dataloader": OrderedDict({SupportedScopes.DATALOADER: DataloaderAnalyzer}), "cluster": OrderedDict({ SupportedScopes.COMMUNICATION_RETRANSMISSION_DETECTION: RDMARetransmissionAnalyzer, diff --git a/profiler/advisor/rules/environment_variable_info.yaml b/profiler/advisor/rules/environment_variable_info.yaml new file mode 100644 index 0000000000..b91f827ef4 --- /dev/null +++ b/profiler/advisor/rules/environment_variable_info.yaml @@ -0,0 +1,42 @@ +ASCEND_GLOBAL_LOG_LEVEL: + desc: "log level: 0-debug, 1-info, 2-warning, 3-error.\nDefault is error level." + suggest: "Debug or info level may lead to training performance degradation,\n + recommended setting error level by execute command 'export ASCEND_GLOBAL_LOG_LEVEL=3." +HCCL_RDAM_TC: + desc: "Configure the DSCP value of RoCE packets sent by the network port.\n + In the DS field of IP datagram header, the rightmost 6 bits are DSCP, and leftmost 2 bits are 0.\n + It should be set to DSCP * 4. Default value is 132, that is, DSCP is 33 (132=33*4)." + suggest: "Please refer to https://support.huawei.com/enterprise/zh/doc/EDOC1100371278/5eeeed85?idPath=23710424" + suggest_html: "Please refer to LINK" +HCCL_RDMA_SL: + desc: "Specify the priority of the RDMA NIC.\n + The value must be the same as the PFC priority for the NIC.\n + Otherwise, the performance may deteriorate.\n + The value range is [0, 7], and default value is 4." + suggest: "Please refer to https://support.huawei.com/enterprise/zh/doc/EDOC1100371278/5eeeed85?idPath=23710424" + suggest_html: "Please refer to LINK" +ACLNN_CACHE_LIMIT: + desc: "Number of cached aclnn operators." + suggest: "Setting a large number when alcnn and host bound, such as 'export ACLNN_CACHE_LIMIT=100000'" +HOST_CACHE_CAPACITY: + desc: "Enable dynamic shape cache.\n + The default value is 0, indicating that the data cache is disabled.\n + If it is set to a non-zero positive integer, for example, 10, the system caches the execution data of 10 inputs shapes that frequently occur recently.\n + When the cached shapes appear again, the host execution performance will be improved, but the host memory usage increase.\n + The specific increase is proportional to the value of the HOST_CACHE_CAPACITY and size of the model." + suggest: "Setting a non-zero number, such as 'export HOST_CACHE_CAPACITY=20'" +ASCEND_ENHANCE_ENABLE: + desc: "Enable hccl ffts+ mode. 0-disable, 1-enable" + suggest: "Recommend enable hccl ffts+ mode by execute command 'export ASCEND_ENHANCE_ENABLE=1'" +PYTORCH_NPU_ALLOC_CONF: + desc: "Controlling cache allocator behavior.\n + The optional parameter is max_split_size_mb, garbage_collection_threshold and expandable_segments.\n + 1. max_split_size_mb:v--the memory block that is greater than v will be not split.\n + 2. garbage_collection_threshold:t--after the threshold is set, if the NPU memory usage exceed threshold, the cached allocator starts to reclaim memory block. The range of t is (0.0, 1.0).\n + 3. expandable_segments:True/False--The default value is False. If True, this setting instructs cache allocator to create specific memory blocks that can be expanded later to better handle frequent changed in memory usage." + suggest: "export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True" +ASCEND_LAUNCH_BLOCKING: + desc: "Whether to enable the synchronization mode during operation execution.\n + When set to 1, force the operator to run in synchronous mode, making it easier to debug and track down problems in the code.\n + If the set to 0, the task is executed in asynchronous mode." + suggest: "export ASCEND_LAUNCH_BLOCKING=1" \ No newline at end of file diff --git "a/\345\205\254\347\275\221URL\350\257\264\346\230\216.md" "b/\345\205\254\347\275\221URL\350\257\264\346\230\216.md" index abf8e10555..2db9b87864 100644 --- "a/\345\205\254\347\275\221URL\350\257\264\346\230\216.md" +++ "b/\345\205\254\347\275\221URL\350\257\264\346\230\216.md" @@ -7,4 +7,5 @@ | 开源软件 | MindStudio Training Tools - msprof-analyze advisor | /profiler/advisor/common/constant.py | 公网地址 | ["https://www.hiascend.com/document/detail/zh/canncommercial/70RC1/devtools/auxiliarydevtool/aoe_16_045.html"] | Advisor优化手段参考示例 | | 开源软件 | MindStudio Training Tools - msprof-analyze advisor | /profiler/advisor/common/constant.py | 公网地址 | ["https://www.mindspore.cn/lite/docs/en/master/use/cloud_infer/converter_tool_ascend.html#aoe-auto-tuning"] | Advisor优化手段参考示例 | | 开源软件 | MindStudio Training Tools - msprof-analyze advisor | /profiler/advisor/common/constant.py | 公网地址 | ["https://www.hiascend.com/document/detail/zh/canncommercial/70RC1/modeldevpt/ptmigr/AImpug_0059.html"] | Advisor优化手段参考示例 | +| 文档 | MindStudio Training Tools - msprof-analyze advisor | /profiler/advisor/common/constant.py | 公网地址 | ["https://support.huawei.com/enterprise/zh/doc/EDOC1100371278/5eeeed85?idPath=23710424"] | Advisor优化手段参考示例 | -- Gitee From c0c04a0dd2204a42ca3e2e006950115ba6c08082 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 19:42:42 +0800 Subject: [PATCH 099/160] =?UTF-8?q?=E4=BF=AE=E5=A4=8Dut=E9=94=99=E8=AF=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../pytorch_ut/hook_module/test_hook_module.py | 14 ++++++++++++-- .../test/pytorch_ut/hook_module/test_wrap_aten.py | 5 +++++ .../hook_module/test_wrap_distributed.py | 6 ++++++ .../pytorch_ut/hook_module/test_wrap_tensor.py | 6 ++++++ .../test/pytorch_ut/hook_module/test_wrap_torch.py | 6 ++++++ 5 files changed, 35 insertions(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_hook_module.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_hook_module.py index 50783e5d73..96f4b4df29 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_hook_module.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_hook_module.py @@ -7,13 +7,18 @@ class TestHookModule(unittest.TestCase): def test_call_1(self): def forward_pre_hook(): return "result_input", "result_kwargs" + def forward_hook(): return 2 + def backward_hook(): pass + def forward_hook_torch_version_below_2(): + pass + def hook(prefix): - return forward_pre_hook, forward_hook, backward_hook + return forward_pre_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 HOOKModule.prefix_op_name_ = "123" test = HOOKModule(hook) test._call_func = Mock(return_value=1) @@ -23,13 +28,18 @@ class TestHookModule(unittest.TestCase): def test_call_2(self): def forward_pre_hook(nope, input, kwargs): return input, kwargs + def forward_hook(nope, input, kwargs, result): return input + def backward_hook(): pass + def forward_hook_torch_version_below_2(): + pass + def hook(prefix): - return forward_pre_hook, forward_hook, backward_hook + return forward_pre_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 HOOKModule.prefix_op_name_ = "123" input = 2 test = HOOKModule(hook) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py index 4940b07cb0..aa559dbded 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py @@ -6,10 +6,15 @@ from msprobe.pytorch.hook_module.wrap_aten import AtenOPTemplate, AtenOPPacketTe def hook(name): def forward_pre_hook(nope, input, kwargs): return input, kwargs + def forward_hook(nope, input, kwargs, result): return 2 + def backward_hook(): pass + + def forward_hook_torch_version_below_2(): + pass return forward_pre_hook, forward_hook, backward_hook diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py index 9a375e45bf..84b1ff9932 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py @@ -6,10 +6,16 @@ class TestWrapDistributed(unittest.TestCase): def hook(name, prefix): def forward_pre_hook(nope, input, kwargs): return input, kwargs + def forward_hook(nope, input, kwargs, result): return 2 + def backward_hook(): pass + + def forward_hook_torch_version_below_2(): + pass + return forward_pre_hook, forward_hook, backward_hook def test_get_distributed_ops(self): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py index 61f76b0ca0..ba9656f111 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py @@ -8,10 +8,16 @@ class TestWrapTensor(unittest.TestCase): def hook(name, prefix): def forward_pre_hook(nope, input, kwargs): return input, kwargs + def forward_hook(nope, input, kwargs, result): return 2 + def backward_hook(): pass + + def forward_hook_torch_version_below_2(): + pass + return forward_pre_hook, forward_hook, backward_hook def test_get_tensor_ops(self): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py index e1a3e77983..9bbd1e0722 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py @@ -8,10 +8,16 @@ class TestWrapTorch(unittest.TestCase): def hook(name, prefix): def forward_pre_hook(nope, input, kwargs): return input, kwargs + def forward_hook(nope, input, kwargs, result): return 2 + def backward_hook(): pass + + def forward_hook_torch_version_below_2(): + pass + return forward_pre_hook, forward_hook, backward_hook def setUp(self): -- Gitee From becae25a860d128e1d79d8b7626f021699599d71 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 19:53:41 +0800 Subject: [PATCH 100/160] =?UTF-8?q?=E4=BF=AE=E6=94=B9torch=E7=89=88?= =?UTF-8?q?=E6=9C=AC=E5=8F=98=E9=87=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/pytorch/hook_module/hook_module.py | 4 ++-- debug/accuracy_tools/msprobe/pytorch/module_processer.py | 4 ++-- debug/accuracy_tools/msprobe/pytorch/service.py | 6 +++--- 3 files changed, 7 insertions(+), 7 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py b/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py index 4d8f48a4e3..aa724b50fd 100644 --- a/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py +++ b/debug/accuracy_tools/msprobe/pytorch/hook_module/hook_module.py @@ -23,7 +23,7 @@ import torch.nn as nn import torch.utils.hooks as full_hooks from msprobe.core.common.const import Const -torch_vsrsion_above_2 = torch.__version__.split('+')[0] > '2.0' +torch_version_above_or_equal_2 = torch.__version__.split('+')[0] >= '2.0' class HOOKModule(nn.Module): @@ -50,7 +50,7 @@ class HOOKModule(nn.Module): HOOKModule.module_count[self.prefix] += 1 self.prefix = self.prefix + str(HOOKModule.module_count[self.prefix] - 1) + Const.SEP forward_pre_hook, forward_hook, backward_hook, _ = build_hook(self.prefix) - if torch_vsrsion_above_2: + if torch_version_above_or_equal_2: self.register_forward_pre_hook(forward_pre_hook, with_kwargs=True) self.register_forward_hook(forward_hook, with_kwargs=True) else: diff --git a/debug/accuracy_tools/msprobe/pytorch/module_processer.py b/debug/accuracy_tools/msprobe/pytorch/module_processer.py index 8303ea8140..e6d2125e42 100644 --- a/debug/accuracy_tools/msprobe/pytorch/module_processer.py +++ b/debug/accuracy_tools/msprobe/pytorch/module_processer.py @@ -5,7 +5,7 @@ from torch.utils.hooks import BackwardHook from msprobe.core.common.const import Const from msprobe.core.data_dump.scope import ModuleRangeScope -torch_version_above_2 = torch.__version__.split('+')[0] > '2.0' +torch_version_above_or_equal_2 = torch.__version__.split('+')[0] >= '2.0' class ModuleProcesser: @@ -124,7 +124,7 @@ class ModuleProcesser: if self.scope: self.scope.begin_module(full_name) - if torch_version_above_2: + if torch_version_above_or_equal_2: if Const.START in start_or_stop: return pre_hook else: diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index a7c8ea72cc..bbf432a722 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -15,7 +15,7 @@ from msprobe.pytorch.hook_module import remove_dropout from msprobe.pytorch.hook_module.api_registry import api_register from msprobe.pytorch.hook_module.hook_module import HOOKModule from msprobe.pytorch.module_processer import ModuleProcesser -torch_version_above_2 = torch.__version__.split('+')[0] > '2.0' +torch_version_above_or_equal_2 = torch.__version__.split('+')[0] >= '2.0' class Service: @@ -177,7 +177,7 @@ class Service: pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 \ = self.build_hook(BaseScope.Module_Type_Module, prefix) - if torch_version_above_2: + if torch_version_above_or_equal_2: module.register_forward_hook(forward_hook, with_kwargs=True) else: module.register_full_backward_hook( @@ -189,7 +189,7 @@ class Service: self.module_processor.node_hook(prefix + Const.FORWARD, Const.START)) module.register_forward_hook( self.module_processor.node_hook(prefix + Const.FORWARD, Const.STOP)) - if torch_version_above_2: + if torch_version_above_or_equal_2: module.register_full_backward_pre_hook( self.module_processor.node_hook(prefix + Const.BACKWARD, Const.START)) module.register_full_backward_hook( -- Gitee From 61a9e32e86ab0efc7a6de19d75ce7509cc5cb026 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Wed, 7 Aug 2024 19:56:49 +0800 Subject: [PATCH 101/160] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E5=86=92=E7=83=9F?= =?UTF-8?q?=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py | 2 +- .../test/pytorch_ut/hook_module/test_wrap_distributed.py | 2 +- .../msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py | 2 +- .../msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py index aa559dbded..f219e22e86 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_aten.py @@ -16,7 +16,7 @@ def hook(name): def forward_hook_torch_version_below_2(): pass - return forward_pre_hook, forward_hook, backward_hook + return forward_pre_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py index 84b1ff9932..246feb56be 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_distributed.py @@ -16,7 +16,7 @@ class TestWrapDistributed(unittest.TestCase): def forward_hook_torch_version_below_2(): pass - return forward_pre_hook, forward_hook, backward_hook + return forward_pre_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 def test_get_distributed_ops(self): ops = get_distributed_ops() diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py index ba9656f111..2aadc358a9 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_tensor.py @@ -18,7 +18,7 @@ class TestWrapTensor(unittest.TestCase): def forward_hook_torch_version_below_2(): pass - return forward_pre_hook, forward_hook, backward_hook + return forward_pre_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 def test_get_tensor_ops(self): result = get_tensor_ops() diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py index 9bbd1e0722..14b156e3b6 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/hook_module/test_wrap_torch.py @@ -18,7 +18,7 @@ class TestWrapTorch(unittest.TestCase): def forward_hook_torch_version_below_2(): pass - return forward_pre_hook, forward_hook, backward_hook + return forward_pre_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 def setUp(self): -- Gitee From 07749dae2c6bf4ba4111a0ee6b16e7e79e8292c4 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 00:45:53 +0800 Subject: [PATCH 102/160] add online run_ut --- .../tensor_transport_layer/attl.py | 6 +++++- debug/accuracy_tools/msprobe/pytorch/service.py | 12 ++++++++---- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index c4d5b76c53..796d27728d 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -86,7 +86,11 @@ class ATTL: rank = buffer.rank if hasattr(buffer, "rank") else 0 step = buffer.step if hasattr(buffer, "step") else 0 io_buff = io.BytesIO() - torch.save(buffer, io_buff) + try: + torch.save(buffer, io_buff) + except Exception as e: + logger.warning(f"buffer save failed: {e}") + return data = io_buff.getvalue() self.socket_manager.add_to_sending_queue(data, rank=rank, step=step) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index d74a9dc255..9b4afb7566 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -36,7 +36,7 @@ class Service: connect_ip=self.config.host, connect_port=self.config.port, nfs_path=self.config.nfs_path) - need_dump = self.current_rank in self.config.rank + need_dump = len(self.config.rank) == 0 or self.current_rank in self.config.rank self.attl = ATTL('npu', attl_config, need_dump=need_dump) if self.config.nfs_path: self.attl.upload("start") @@ -68,7 +68,9 @@ class Service: return None if self.config.online_run_ut: - api_data = ApiData(api_or_module_name, args, kwargs, output, self.current_iter, self.current_rank) + if not self.data_collector.scope or self.data_collector.scope.check(api_or_module_name): + return None + api_data = ApiData(name[:-1], args, kwargs, output, self.current_iter, self.current_rank) self.attl_send(api_data) return None @@ -88,8 +90,9 @@ class Service: return if self.config.online_run_ut: - api_data = ApiData(api_or_module_name, grad_input, None, grad_output, self.current_iter, - self.current_rank) + if not self.data_collector.scope or self.data_collector.scope.check(api_or_module_name): + return None + api_data = ApiData(name[:-1], grad_input, None, grad_output, self.current_iter, self.current_rank) self.attl_send(api_data) return None @@ -208,6 +211,7 @@ class Service: def attl_send(self, api_data): logger.info(f"tools is dumping api: {api_data.name}, rank: {self.current_rank}") + api_data.rank = api_data.rank if api_data.rank else 0 if self.config.nfs_path: self.attl.upload(api_data) else: -- Gitee From a6fd8721767ea0b6bdb0a5f6d16af29cf89be2ad Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 09:16:19 +0800 Subject: [PATCH 103/160] add online run_ut --- .../pytorch/api_accuracy_checker/tensor_transport_layer/attl.py | 2 +- debug/accuracy_tools/msprobe/pytorch/service.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index 796d27728d..e83fd2ecb6 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -83,7 +83,7 @@ class ATTL: if 'device' in buffer.kwargs: buffer.kwargs.pop('device') - rank = buffer.rank if hasattr(buffer, "rank") else 0 + rank = buffer.rank if hasattr(buffer, "rank") and buffer.rank is not None else 0 step = buffer.step if hasattr(buffer, "step") else 0 io_buff = io.BytesIO() try: diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 9b4afb7566..681a444c00 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -211,7 +211,6 @@ class Service: def attl_send(self, api_data): logger.info(f"tools is dumping api: {api_data.name}, rank: {self.current_rank}") - api_data.rank = api_data.rank if api_data.rank else 0 if self.config.nfs_path: self.attl.upload(api_data) else: -- Gitee From 052de6de0de2a2de81f3ec84b0ff72dd273eec80 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 09:19:03 +0800 Subject: [PATCH 104/160] add online run_ut --- debug/accuracy_tools/msprobe/pytorch/service.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 681a444c00..e18a0295f4 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -92,7 +92,7 @@ class Service: if self.config.online_run_ut: if not self.data_collector.scope or self.data_collector.scope.check(api_or_module_name): return None - api_data = ApiData(name[:-1], grad_input, None, grad_output, self.current_iter, self.current_rank) + api_data = ApiData(name[:-1], grad_input, {}, grad_output, self.current_iter, self.current_rank) self.attl_send(api_data) return None -- Gitee From 40eed90a6edce10fb77bce07a89e8f6268459128 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Thu, 8 Aug 2024 09:35:22 +0800 Subject: [PATCH 105/160] =?UTF-8?q?=E4=BC=98=E5=8C=96build=5Fhook=E5=87=BD?= =?UTF-8?q?=E6=95=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 13 +------------ 1 file changed, 1 insertion(+), 12 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index bbf432a722..bc41dad151 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -63,18 +63,7 @@ class Service: return output def forward_hook_torch_version_below_2(api_or_module_name, module, args, output): - if module_type == BaseScope.Module_Type_Module: - api_or_module_name = module.mindstudio_reserved_name - self.data_collector.visit_and_clear_overflow_status(api_or_module_name) - - if not self.switch: - return None - if self.data_collector: - module_input_output = ModuleForwardInputsOutputs(args=args, kwargs={}, output=output) - self.data_collector.forward_data_collect(api_or_module_name, module, pid, module_input_output) - if self.data_collector.if_return_forward_new_output(): - return self.data_collector.get_forward_new_output() - return output + return forward_hook(api_or_module_name, module, args, {}, output) def backward_hook(api_or_module_name, module, grad_input, grad_output): if module_type == BaseScope.Module_Type_Module: -- Gitee From 2564181cbed75c5fec875fedbf233114f0e73f62 Mon Sep 17 00:00:00 2001 From: zyy Date: Thu, 8 Aug 2024 09:35:32 +0800 Subject: [PATCH 106/160] 86 --- .../compare_backend/profiling_parser/gpu_profiling_parser.py | 1 - 1 file changed, 1 deletion(-) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 07943ba738..91b4094c2a 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -61,7 +61,6 @@ class GPUProfilingParser(BaseProfilingParser): def _update_overall_metrics(self): self._calculate_performance_time() self.__parse_memory_reserved() - self._result_data.overall_metrics.calculate_vec_time() self._result_data.overall_metrics.calculate_schedule_time() self._result_data.overall_metrics.trans_time_to_s() -- Gitee From e4891794ba650e15280a476cd55d94a843e683ff Mon Sep 17 00:00:00 2001 From: h00613304 Date: Thu, 8 Aug 2024 09:52:59 +0800 Subject: [PATCH 107/160] =?UTF-8?q?=E4=BC=98=E5=8C=96build=5Fhook=E5=87=BD?= =?UTF-8?q?=E6=95=B0=E8=BF=94=E5=9B=9E=E4=B8=AA=E6=95=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index bc41dad151..d264ab70da 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -3,6 +3,7 @@ import os from pathlib import Path import torch +from collections import namedtuple from msprobe.core.common.const import Const, FileCheckConst from msprobe.core.common.exceptions import DistributedNotInitializedError, MsprobeException from msprobe.core.common.file_check import FileChecker, check_path_before_create @@ -17,6 +18,8 @@ from msprobe.pytorch.hook_module.hook_module import HOOKModule from msprobe.pytorch.module_processer import ModuleProcesser torch_version_above_or_equal_2 = torch.__version__.split('+')[0] >= '2.0' +HookFn = namedtuple('hookFn', ['pre_hook', 'forward_hook', 'backward_hook', 'forward_hook_torch_version_below_2']) + class Service: def __init__(self, config): @@ -84,7 +87,7 @@ class Service: forward_hook = functools.partial(forward_hook, forward_name_template) backward_hook = functools.partial(backward_hook, backward_name_template) forward_hook_torch_version_below_2 = functools.partial(forward_hook_torch_version_below_2, forward_name_template) - return pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2 + return HookFn(pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2) def step(self): self.current_iter += 1 -- Gitee From b602d05ae57fbacec9380eebcdba3c3c4e809906 Mon Sep 17 00:00:00 2001 From: h00613304 Date: Thu, 8 Aug 2024 10:19:45 +0800 Subject: [PATCH 108/160] =?UTF-8?q?=E4=BF=AE=E5=A4=8Dbuild=5Fhook=20bug?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index d264ab70da..eb5fb861bf 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -83,11 +83,11 @@ class Service: pid = os.getpid() forward_name_template = name + Const.FORWARD backward_name_template = name + Const.BACKWARD - pre_forward_hook = functools.partial(pre_hook, forward_name_template) - forward_hook = functools.partial(forward_hook, forward_name_template) - backward_hook = functools.partial(backward_hook, backward_name_template) - forward_hook_torch_version_below_2 = functools.partial(forward_hook_torch_version_below_2, forward_name_template) - return HookFn(pre_forward_hook, forward_hook, backward_hook, forward_hook_torch_version_below_2) + pre_forward_hook_fn = functools.partial(pre_hook, forward_name_template) + forward_hook_fn = functools.partial(forward_hook, forward_name_template) + backward_hook_fn = functools.partial(backward_hook, backward_name_template) + forward_hook_torch_version_below_2_fn = functools.partial(forward_hook_torch_version_below_2, forward_name_template) + return HookFn(pre_forward_hook_fn, forward_hook_fn, backward_hook_fn, forward_hook_torch_version_below_2_fn) def step(self): self.current_iter += 1 -- Gitee From 62892977d6bbb69003e94bae75d037c99218d537 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 10:29:47 +0800 Subject: [PATCH 109/160] fix reviews --- debug/accuracy_tools/msprobe/core/common/const.py | 3 --- .../api_accuracy_checker/tensor_transport_layer/attl.py | 8 ++++++-- debug/accuracy_tools/msprobe/pytorch/pt_config.py | 6 +++--- 3 files changed, 9 insertions(+), 8 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index 34512ce049..2fe424a437 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -20,9 +20,6 @@ class Const: DEFAULT_PATH = './' WHITE_LIST = 'white_list' BLACK_LIST = 'black_list' - IS_ONLINE = False - NFS_PATH = "" - IS_BENCHMARK_DEVICE = True DUMP_TENSOR_DATA = 'dump_tensor_data' # dump mode diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index c4d5b76c53..21c5dafba8 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -121,7 +121,7 @@ class ATTL: try: buffer = torch.load(buffer, map_location="cpu") except Exception as e: - self.logger.error("there is something error. please check it. %s", e) + self.logger.warning("there is something error. please check it. %s", e) if isinstance(buffer, bytes): return None if isinstance(buffer, str): @@ -147,7 +147,11 @@ class ATTL: if cur_file is None: return None else: - buffer = torch.load(cur_file) + buffer = None + try: + buffer = torch.load(cur_file) + except Exception as e: + self.logger.warning("there is something error. please check it. %s", e) remove_path(cur_file) return buffer diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index 9dcd12c6eb..5612a87348 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -71,9 +71,9 @@ class RunUTConfig(BaseConfig): self.white_list = json_config.get("white_list", Const.DEFAULT_LIST) self.black_list = json_config.get("black_list", Const.DEFAULT_LIST) self.error_data_path = json_config.get("error_data_path", Const.DEFAULT_PATH) - self.is_online = json_config.get("is_online", Const.IS_ONLINE) - self.nfs_path = json_config.get("nfs_path", Const.NFS_PATH) - self.is_benchmark_device = json_config.get("is_benchmark_device", Const.IS_BENCHMARK_DEVICE) + self.is_online = json_config.get("is_online", False) + self.nfs_path = json_config.get("nfs_path", "") + self.is_benchmark_device = json_config.get("is_benchmark_device", True) self.host = json_config.get("host", "") self.port = json_config.get("port", -1) self.rank_list = json_config.get("rank_list", Const.DEFAULT_LIST) -- Gitee From 9b08f2da4e4aa98fde5440b1e45e2b8d5ee9620a Mon Sep 17 00:00:00 2001 From: h00613304 Date: Thu, 8 Aug 2024 10:49:25 +0800 Subject: [PATCH 110/160] =?UTF-8?q?=E4=BF=AE=E6=94=B9service=20import?= =?UTF-8?q?=E6=A8=A1=E5=9D=97=E5=AF=BC=E5=85=A5=E9=A1=BA=E5=BA=8F?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/pytorch/service.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index eb5fb861bf..bc363926fe 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -2,8 +2,8 @@ import functools import os from pathlib import Path -import torch from collections import namedtuple +import torch from msprobe.core.common.const import Const, FileCheckConst from msprobe.core.common.exceptions import DistributedNotInitializedError, MsprobeException from msprobe.core.common.file_check import FileChecker, check_path_before_create -- Gitee From e4e661b16491c78a82b26f87b31496fffcdff8a5 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 10:29:47 +0800 Subject: [PATCH 111/160] fix reviews --- debug/accuracy_tools/msprobe/core/common/const.py | 4 +--- .../api_accuracy_checker/tensor_transport_layer/attl.py | 8 ++++++-- debug/accuracy_tools/msprobe/pytorch/pt_config.py | 6 +++--- 3 files changed, 10 insertions(+), 8 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index 119ad7d626..573838d1e4 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -20,9 +20,7 @@ class Const: DEFAULT_PATH = './' WHITE_LIST = 'white_list' BLACK_LIST = 'black_list' - IS_ONLINE = False - NFS_PATH = "" - IS_BENCHMARK_DEVICE = True + DUMP_TENSOR_DATA = 'dump_tensor_data' # dump mode ALL = "all" diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index e83fd2ecb6..18099a3d38 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -125,7 +125,7 @@ class ATTL: try: buffer = torch.load(buffer, map_location="cpu") except Exception as e: - self.logger.error("there is something error. please check it. %s", e) + self.logger.warning("there is something error. please check it. %s", e) if isinstance(buffer, bytes): return None if isinstance(buffer, str): @@ -151,7 +151,11 @@ class ATTL: if cur_file is None: return None else: - buffer = torch.load(cur_file) + buffer = None + try: + buffer = torch.load(cur_file) + except Exception as e: + self.logger.warning("there is something error. please check it. %s", e) remove_path(cur_file) return buffer diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index 6bcd1a05e1..ea84d5ca36 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -75,9 +75,9 @@ class RunUTConfig(BaseConfig): self.white_list = json_config.get("white_list", Const.DEFAULT_LIST) self.black_list = json_config.get("black_list", Const.DEFAULT_LIST) self.error_data_path = json_config.get("error_data_path", Const.DEFAULT_PATH) - self.is_online = json_config.get("is_online", Const.IS_ONLINE) - self.nfs_path = json_config.get("nfs_path", Const.NFS_PATH) - self.is_benchmark_device = json_config.get("is_benchmark_device", Const.IS_BENCHMARK_DEVICE) + self.is_online = json_config.get("is_online", False) + self.nfs_path = json_config.get("nfs_path", "") + self.is_benchmark_device = json_config.get("is_benchmark_device", True) self.host = json_config.get("host", "") self.port = json_config.get("port", -1) self.rank_list = json_config.get("rank_list", Const.DEFAULT_LIST) -- Gitee From a16fb75dd2c131659ad7c5f33dffd0383cc15bf3 Mon Sep 17 00:00:00 2001 From: zhouxianqi <13165993773@163.com> Date: Tue, 6 Aug 2024 10:41:16 +0800 Subject: [PATCH 112/160] optimize_longest_common_subsequence --- .../data_prepare/operator_data_prepare.py | 27 ++- .../data_prepare/sequence_pre_matching.py | 162 ++++++++++++++++++ .../generator/detail_performance_generator.py | 158 ++++++----------- .../profiling_parser/base_profiling_parser.py | 7 +- .../compare_backend/utils/common_func.py | 17 +- .../compare_backend/utils/constant.py | 3 + .../compare_backend/utils/torch_op_node.py | 6 +- .../compare_backend/utils/tree_builder.py | 6 +- .../test_base_profiling_parser.py | 1 + .../compare_tools/utils/test_tree_builder.py | 8 +- 10 files changed, 258 insertions(+), 137 deletions(-) create mode 100644 profiler/compare_tools/compare_backend/data_prepare/sequence_pre_matching.py diff --git a/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py b/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py index 3106527c41..59913528a5 100644 --- a/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py +++ b/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py @@ -5,11 +5,11 @@ from compare_backend.utils.tree_builder import TreeBuilder class OperatorDataPrepare: def __init__(self, profiling_data: ProfilingResult): self.profiling_data = profiling_data + self._all_nodes = self._build_tree() + self._root_node = self._all_nodes[0] def get_top_layer_ops(self) -> any: - root_node = TreeBuilder.build_tree(self.profiling_data.torch_op_data, self.profiling_data.kernel_dict, - self.profiling_data.memory_list) - level1_child_nodes = root_node.child_nodes + level1_child_nodes = self._root_node.child_nodes result_data = [] for level1_node in level1_child_nodes: if level1_node.is_step_profiler(): @@ -19,18 +19,11 @@ class OperatorDataPrepare: return result_data def get_all_layer_ops(self) -> any: - root_node = TreeBuilder.build_tree(self.profiling_data.torch_op_data, [], []) - level1_child_nodes = root_node.child_nodes - node_queue = [] result_data = [] - for level1_node in level1_child_nodes: - if level1_node.is_step_profiler(): - node_queue.extend(level1_node.child_nodes) - else: - node_queue.append(level1_node) - while len(node_queue) > 0: - node = node_queue.pop(0) - result_data.append(node) - if node.child_nodes: - node_queue.extend(node.child_nodes) - return result_data \ No newline at end of file + if len(self._all_nodes) < 1: + return result_data + return list(filter(lambda x: not x.is_step_profiler(), self._all_nodes[1:])) + + def _build_tree(self): + return TreeBuilder.build_tree(self.profiling_data.torch_op_data, self.profiling_data.kernel_dict, + self.profiling_data.memory_list) diff --git a/profiler/compare_tools/compare_backend/data_prepare/sequence_pre_matching.py b/profiler/compare_tools/compare_backend/data_prepare/sequence_pre_matching.py new file mode 100644 index 0000000000..c04d4c2b69 --- /dev/null +++ b/profiler/compare_tools/compare_backend/data_prepare/sequence_pre_matching.py @@ -0,0 +1,162 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from collections import deque + +from compare_backend.utils.name_function import NameFunction +from compare_backend.utils.common_func import longest_common_subsequence_matching +from compare_backend.utils.torch_op_node import TorchOpNode +from compare_backend.utils.module_node import ModuleNode + +from compare_backend.utils.constant import Constant + + +class SequencePreMatching: + OP_TYPE = 1 + MODULE_TYPE = 2 + + def __init__(self, args, base_bwd_tid=None, comparison_bwd_tid=None): + self._args = args + self._base_bwd_tid = base_bwd_tid + self._comparison_bwd_tid = comparison_bwd_tid + + @staticmethod + def _match_none_subsequence(base_ops: list, comparison_ops: list) -> list: + op_compare_result = [[op, None] for op in iter(base_ops)] + op_compare_result.extend([[None, op] for op in iter(comparison_ops)]) + return op_compare_result + + @staticmethod + def _split_operator_data(data_list, bwd_tid): + split_result = [] + if not data_list: + return split_result + data_list.sort(key=lambda x: x.start_time) + pre_tid = data_list[0].tid + part_data_dict = {Constant.IS_BWD: pre_tid == bwd_tid, Constant.OPS: []} + for op in data_list: + if op.tid == pre_tid or (pre_tid != bwd_tid and op.tid != bwd_tid): + part_data_dict[Constant.OPS].append(op) + else: + split_result.append(part_data_dict) + part_data_dict = {Constant.IS_BWD: op.tid == bwd_tid, Constant.OPS: [op]} + pre_tid = op.tid + split_result.append(part_data_dict) + return split_result + + def run(self, matching_type, base_data, comparison_data): + if matching_type == self.MODULE_TYPE: + return self._match_nn_module(base_data, comparison_data) + + if self._base_bwd_tid is None or self._comparison_bwd_tid is None: + return self._match_torch_op(base_data, comparison_data) + + base_data = self._split_operator_data(base_data, self._base_bwd_tid) + comparison_data = self._split_operator_data(comparison_data, self._comparison_bwd_tid) + if not base_data: + comparison_data_list = [] + for data in comparison_data: + comparison_data_list.extend(data.get(Constant.OPS, [])) + return self._match_torch_op([], comparison_data_list) + if not comparison_data: + base_data_list = [] + for data in base_data: + base_data_list.extend(data.get(Constant.OPS, [])) + return self._match_torch_op(base_data_list, []) + + result_data = [] + base_data_len, comparison_data_len = len(base_data), len(comparison_data) + if base_data[0].get(Constant.IS_BWD) == comparison_data[0].get(Constant.IS_BWD): + base_index, comparison_index = 0, 0 + elif base_data_len > comparison_data_len: + result_data.extend(self._match_torch_op(base_data[0].get(Constant.OPS, []), [])) + base_index, comparison_index = 1, 0 + else: + result_data.extend(self._match_torch_op([], comparison_data[0].get(Constant.OPS, []))) + base_index, comparison_index = 0, 1 + while base_index < base_data_len: + comparison_ops = [] if comparison_index >= comparison_data_len else comparison_data[ + comparison_index].get(Constant.OPS, []) + result_data.extend(self._match_torch_op(base_data[base_index].get(Constant.OPS, []), comparison_ops)) + base_index += 1 + comparison_index += 1 + while comparison_index < comparison_data_len: + result_data.extend(self._match_torch_op([], comparison_data[0].get(Constant.OPS, []))) + comparison_index += 1 + return result_data + + def _match_torch_op(self, base_ops, comparison_ops) -> list: + if not base_ops and not comparison_ops: + return [] + name_func = NameFunction(self._args).get_name_func() + op_compare_result = longest_common_subsequence_matching(base_ops, comparison_ops, name_func) \ + if not self._args.disable_details else self._match_none_subsequence(base_ops, comparison_ops) + if self._args.max_kernel_num is not None: + op_compare_result = self._drill_down(op_compare_result, name_func) + return op_compare_result + + def _drill_down(self, compare_result_data: list, name_func: any) -> list: + drill_down_result = [] + compare_result_data.reverse() + op_deque = deque(compare_result_data) + while op_deque: + match_data = op_deque.pop() + base_op = match_data[0] if match_data[0] else TorchOpNode() + comparison_op = match_data[1] if match_data[1] else TorchOpNode() + if not base_op.child_nodes or not comparison_op.child_nodes: + drill_down_result.append(match_data) + continue + if max(base_op.kernel_num, comparison_op.kernel_num) <= self._args.max_kernel_num: + drill_down_result.append(match_data) + continue + match_list = longest_common_subsequence_matching(base_op.child_nodes, + comparison_op.child_nodes, + name_func) \ + if not self._args.disable_details else self._match_none_subsequence(base_op.child_nodes, + comparison_op.child_nodes) + match_list.reverse() + op_deque.extend(match_list) + + return drill_down_result + + def _match_nn_module(self, base_root_node, comparison_root_node) -> list: + module_compare_result = [] + for index, base_node in enumerate(base_root_node): + comparison_node = comparison_root_node[index] if index < len(comparison_root_node) else None + if not base_node or not comparison_node: + continue + module_compare_result.extend(self._matching_all_modules(base_node, comparison_node)) + return module_compare_result + + def _matching_all_modules(self, base_node: ModuleNode, comparison_node: ModuleNode): + all_matched_modules = [] + matched_queue = deque() + matched_queue.append([base_node, comparison_node]) + while matched_queue: + matched_base_node, matched_comparison_node = matched_queue.popleft() + matched_node_list = self._matching_common_subsequence(matched_base_node, matched_comparison_node) + all_matched_modules.extend(matched_node_list) + for matched_node in matched_node_list: + matched_queue.append(matched_node) + return all_matched_modules + + def _matching_common_subsequence(self, base_node: ModuleNode, comparison_node: ModuleNode): + base_modules = base_node.child_nodes if base_node else [] + comparison_modules = comparison_node.child_nodes if comparison_node else [] + if not base_modules and not comparison_modules: + return [] + name_func = NameFunction(self._args).get_module_name + result = longest_common_subsequence_matching(base_modules, comparison_modules, name_func) \ + if not self._args.disable_details else self._match_none_subsequence(base_modules, comparison_modules) + return result diff --git a/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py b/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py index 6fe693fb06..c0da4b65bd 100644 --- a/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py +++ b/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py @@ -1,7 +1,5 @@ import os -from collections import deque from datetime import datetime -from queue import Queue from compare_backend.comparator.communication_comparator import CommunicationComparator from compare_backend.comparator.module_comparetor import ModuleComparator @@ -24,39 +22,25 @@ from compare_backend.compare_bean.overall_metrics_bean import OverallMetricsBean from compare_backend.data_prepare.module_data_prepare import ModuleDataPrepare from compare_backend.data_prepare.operator_data_prepare import OperatorDataPrepare from compare_backend.generator.base_generator import BaseGenerator -from compare_backend.utils.common_func import longest_common_subsequence_matching from compare_backend.utils.constant import Constant -from compare_backend.utils.module_node import ModuleNode -from compare_backend.utils.name_function import NameFunction -from compare_backend.utils.torch_op_node import TorchOpNode from compare_backend.view.excel_view import ExcelView +from compare_backend.data_prepare.sequence_pre_matching import SequencePreMatching + class DetailPerformanceGenerator(BaseGenerator): def __init__(self, profiling_data_dict: dict, args: any): super().__init__(profiling_data_dict, args) - @classmethod - def _match_none_subsequence(cls, base_ops: list, comparison_ops: list) -> list: - op_compare_result = [[op, None] for op in iter(base_ops)] - op_compare_result.extend([[None, op] for op in iter(comparison_ops)]) - return op_compare_result - def compare(self): enable_compare = [self._args.enable_operator_compare, self._args.enable_memory_compare, self._args.enable_communication_compare, self._args.enable_api_compare, - self._args.enable_kernel_compare] + self._args.enable_kernel_compare, self._args.enable_profiling_compare] if any(enable_compare): print("[INFO] Start to compare performance detail data, please wait.") comparator_list = self._create_comparator() else: comparator_list = [] - if self._args.enable_profiling_compare: - overall_data = {Constant.BASE_DATA: self._profiling_data_dict.get(Constant.BASE_DATA).overall_metrics, - Constant.COMPARISON_DATA: self._profiling_data_dict.get( - Constant.COMPARISON_DATA).overall_metrics} - # overall 数据在最前面 - comparator_list.insert(0, OverallMetricsComparator(overall_data, OverallMetricsBean)) for comparator in comparator_list: self._result_data.update(comparator.generate_data()) @@ -71,45 +55,60 @@ class DetailPerformanceGenerator(BaseGenerator): def _create_comparator(self): comparator_list = [] - - op_compare_result = [] - - if self._args.enable_operator_compare: - module_compare_result = self.match_nn_module() if self._profiling_data_dict.get( - Constant.BASE_DATA).python_function_data and self._profiling_data_dict.get( - Constant.COMPARISON_DATA).python_function_data else [] - if not module_compare_result: - op_compare_result = self.match_torch_op() - - if self._args.enable_memory_compare and not op_compare_result: - op_compare_result = self.match_torch_op() - + # 总体性能拆解 + if self._args.enable_profiling_compare: + overall_data = { + Constant.BASE_DATA: self._profiling_data_dict.get(Constant.BASE_DATA).overall_metrics, + Constant.COMPARISON_DATA: self._profiling_data_dict.get(Constant.COMPARISON_DATA).overall_metrics + } + comparator_list.append(OverallMetricsComparator(overall_data, OverallMetricsBean)) + # 通信性能比对 if self._args.enable_communication_compare: communication_data = { Constant.BASE_DATA: self._profiling_data_dict.get(Constant.BASE_DATA).communication_dict, Constant.COMPARISON_DATA: self._profiling_data_dict.get(Constant.COMPARISON_DATA).communication_dict} comparator_list.append(CommunicationComparator(communication_data, CommunicationBean)) + # 算子性能比对-module级 + enable_operator_compare = False if self._args.enable_operator_compare: + module_compare_result = self._module_match() if module_compare_result: comparator_list.append(ModuleStatisticComparator(module_compare_result, ModuleStatisticBean)) if not self._args.disable_details: comparator_list.append(ModuleComparator(module_compare_result, ModuleCompareBean)) else: - comparator_list.append(OperatorStatisticComparator(op_compare_result, OperatorStatisticBean)) - if not self._args.disable_details: - comparator_list.append(OperatorComparator(op_compare_result, OperatorCompareBean)) + enable_operator_compare = True + + # build tree for operator_compare memory_compare and api_compare + base_op_prepare, comparison_op_prepare = None, None + if self._args.enable_memory_compare or self.enable_api_compare or enable_operator_compare: + base_op_prepare = OperatorDataPrepare(self._profiling_data_dict.get(Constant.BASE_DATA)) + comparison_op_prepare = OperatorDataPrepare(self._profiling_data_dict.get(Constant.COMPARISON_DATA)) + + # 算子性能比对-operator级 + op_compare_result = [] + if enable_operator_compare: + op_compare_result = self._operator_match(base_op_prepare.get_top_layer_ops(), + comparison_op_prepare.get_top_layer_ops()) + comparator_list.append(OperatorStatisticComparator(op_compare_result, OperatorStatisticBean)) + if not self._args.disable_details: + comparator_list.append(OperatorComparator(op_compare_result, OperatorCompareBean)) + # 算子内存比对 if self._args.enable_memory_compare: + if not op_compare_result: + op_compare_result = self._operator_match(base_op_prepare.get_top_layer_ops(), + comparison_op_prepare.get_top_layer_ops()) comparator_list.append(OperatorStatisticComparator(op_compare_result, MemoryStatisticBean)) if not self._args.disable_details: comparator_list.append(OperatorComparator(op_compare_result, MemoryCompareBean)) + # host api比对 if self._args.enable_api_compare: api_compare_result = { - Constant.BASE_DATA: OperatorDataPrepare( - self._profiling_data_dict.get(Constant.BASE_DATA)).get_all_layer_ops(), - Constant.COMPARISON_DATA: OperatorDataPrepare( - self._profiling_data_dict.get(Constant.COMPARISON_DATA)).get_all_layer_ops()} + Constant.BASE_DATA: base_op_prepare.get_all_layer_ops(), + Constant.COMPARISON_DATA: comparison_op_prepare.get_all_layer_ops()} comparator_list.append(ApiCompareComparator(api_compare_result, ApiCompareBean)) + # kernel比对 if self._args.enable_kernel_compare: kernel_compare_result = { Constant.BASE_DATA: self._profiling_data_dict.get(Constant.BASE_DATA).kernel_details, @@ -117,74 +116,19 @@ class DetailPerformanceGenerator(BaseGenerator): comparator_list.append(KernelCompareComparator(kernel_compare_result, KernelCompareBean)) return comparator_list - def match_torch_op(self) -> list: - base_ops = OperatorDataPrepare(self._profiling_data_dict.get(Constant.BASE_DATA)).get_top_layer_ops() - comparison_ops = OperatorDataPrepare( - self._profiling_data_dict.get(Constant.COMPARISON_DATA)).get_top_layer_ops() - if not base_ops and not comparison_ops: + def _module_match(self): + if not self._profiling_data_dict.get(Constant.BASE_DATA).python_function_data or not \ + self._profiling_data_dict.get(Constant.COMPARISON_DATA).python_function_data: return [] - name_func = NameFunction(self._args).get_name_func() - op_compare_result = longest_common_subsequence_matching(base_ops, comparison_ops, name_func) \ - if not self._args.disable_details else self._match_none_subsequence(base_ops, comparison_ops) - if self._args.max_kernel_num is not None: - op_compare_result = self._drill_down(op_compare_result, name_func) - return op_compare_result - - def _drill_down(self, compare_result_data: list, name_func: any) -> list: - drill_down_result = [] - compare_result_data.reverse() - op_deque = deque(compare_result_data) - while op_deque: - match_data = op_deque.pop() - base_op = match_data[0] if match_data[0] else TorchOpNode() - comparison_op = match_data[1] if match_data[1] else TorchOpNode() - if not base_op.child_nodes or not comparison_op.child_nodes: - drill_down_result.append(match_data) - continue - if max(base_op.kernel_num, comparison_op.kernel_num) <= self._args.max_kernel_num: - drill_down_result.append(match_data) - continue - match_list = longest_common_subsequence_matching(base_op.child_nodes, - comparison_op.child_nodes, - name_func) \ - if not self._args.disable_details else self._match_none_subsequence(base_op.child_nodes, - comparison_op.child_nodes) - match_list.reverse() - for data in match_list: - op_deque.append(data) - - return drill_down_result - - def match_nn_module(self) -> list: - module_compare_result = [] - base_root_node = ModuleDataPrepare(self._profiling_data_dict.get(Constant.BASE_DATA)).build_module_tree() + base_root_node = ModuleDataPrepare( + self._profiling_data_dict.get(Constant.BASE_DATA)).build_module_tree() comparison_root_node = ModuleDataPrepare( self._profiling_data_dict.get(Constant.COMPARISON_DATA)).build_module_tree() - for index, base_node in enumerate(base_root_node): - comparison_node = comparison_root_node[index] if index < len(comparison_root_node) else None - if not base_node or not comparison_node: - continue - module_compare_result.extend(self._matching_all_modules(base_node, comparison_node)) - return module_compare_result - - def _matching_all_modules(self, base_node: ModuleNode, comparison_node: ModuleNode): - all_matched_modules = [] - matched_queue = Queue() - matched_queue.put([base_node, comparison_node]) - while not matched_queue.empty(): - matched_base_node, matched_comparison_node = matched_queue.get() - matched_node_list = self._matching_common_subsequence(matched_base_node, matched_comparison_node) - all_matched_modules.extend(matched_node_list) - for matched_node in matched_node_list: - matched_queue.put(matched_node) - return all_matched_modules - - def _matching_common_subsequence(self, base_node: ModuleNode, comparison_node: ModuleNode): - base_modules = base_node.child_nodes if base_node else [] - comparison_modules = comparison_node.child_nodes if comparison_node else [] - if not base_modules and not comparison_modules: - return [] - name_func = NameFunction(self._args).get_module_name - result = longest_common_subsequence_matching(base_modules, comparison_modules, name_func) \ - if not self._args.disable_details else self._match_none_subsequence(base_modules, comparison_modules) - return result + return SequencePreMatching(self._args).run(SequencePreMatching.MODULE_TYPE, base_root_node, + comparison_root_node) + + def _operator_match(self, base_ops, comparison_ops): + base_bwd_tid = self._profiling_data_dict.get(Constant.BASE_DATA).bwd_tid + comparison_bwd_tid = self._profiling_data_dict.get(Constant.COMPARISON_DATA).bwd_tid + return SequencePreMatching(self._args, base_bwd_tid, comparison_bwd_tid).run(SequencePreMatching.OP_TYPE, + base_ops, comparison_ops) diff --git a/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py index 9daaa55ef1..a2591dd0f9 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py @@ -21,6 +21,7 @@ class ProfilingResult: self.python_function_data = [] self.fwdbwd_dict = {} self.kernel_details = {} + self.bwd_tid = None def update_torch_op_data(self, event: TraceEventBean): event.is_torch_op = True @@ -44,10 +45,13 @@ class ProfilingResult: def update_comm_task_data(self, comm_name: str, task_event: TraceEventBean): self.communication_dict.setdefault(comm_name, {}).setdefault("comm_task", {}).setdefault( task_event.name, []).append(task_event.dur) - + def update_kernel_details(self, kernels: dict): self.kernel_details = kernels + def update_bwd_tid(self, bwd_tid): + self.bwd_tid = bwd_tid + class BaseProfilingParser(ABC): @@ -115,6 +119,7 @@ class BaseProfilingParser(ABC): raise NotImplementedError("Function _get_dispatch_func need to be implemented.") def load_data(self) -> ProfilingResult: + self._result_data.update_bwd_tid(self._bwd_tid) self._dispatch_events() self._update_kernel_dict() self._update_communication_dict() diff --git a/profiler/compare_tools/compare_backend/utils/common_func.py b/profiler/compare_tools/compare_backend/utils/common_func.py index 68a1ab584f..1ced3c0f8d 100644 --- a/profiler/compare_tools/compare_backend/utils/common_func.py +++ b/profiler/compare_tools/compare_backend/utils/common_func.py @@ -41,6 +41,11 @@ def longest_common_subsequence_matching(base_ops: list, comparison_ops: list, na for index, value in enumerate(base_ops): result_data[index] = [value, None] return result_data + if not base_ops: + result_data = [None] * len(comparison_ops) + for index, value in enumerate(comparison_ops): + result_data[index] = [None, value] + return result_data comparison_len, base_len = len(comparison_ops), len(base_ops) if comparison_len * base_len > 50 * 10 ** 8: @@ -51,12 +56,12 @@ def longest_common_subsequence_matching(base_ops: list, comparison_ops: list, na cur_list = [0] * (base_len + 1) comparison_index = 1 - iter_comparison_data = iter(comparison_ops) - for comparison_data in iter_comparison_data: + all_base_data = [hash(name_func(op)) for op in base_ops] + all_comparison_data = [hash(name_func(op)) for op in comparison_ops] + for comparison_data in iter(all_comparison_data): base_index = 1 - iter_base_data = iter(base_ops) - for base_data in iter_base_data: - if name_func(comparison_data) == name_func(base_data): + for base_data in all_base_data: + if comparison_data == base_data: cur_list[base_index] = pre_list[base_index - 1] + 1 else: only_base = cur_list[base_index - 1] @@ -75,7 +80,7 @@ def longest_common_subsequence_matching(base_ops: list, comparison_ops: list, na while comparison_index > 0 and base_index > 0: base_data = base_ops[base_index - 1] comparison_data = comparison_ops[comparison_index - 1] - if name_func(base_data) == name_func(comparison_data): + if all_base_data[base_index - 1] == all_comparison_data[comparison_index - 1]: matched_op.append([base_data, comparison_data]) comparison_index -= 1 base_index -= 1 diff --git a/profiler/compare_tools/compare_backend/utils/constant.py b/profiler/compare_tools/compare_backend/utils/constant.py index 252aa536e1..256dec1174 100644 --- a/profiler/compare_tools/compare_backend/utils/constant.py +++ b/profiler/compare_tools/compare_backend/utils/constant.py @@ -91,3 +91,6 @@ class Constant(object): CPU_OP_MATMUL_MASK = ("aten::addmm", "aten::bmm", "aten::mm", "aten::matmul") KERNEL_CUBE_MASK = ("gemm", "conv", "cutlass", "wgrad") KERNEL_TRANS_MASK = ("cast", "transdata", "transpose") + + IS_BWD = "is_bwd" + OPS = "ops" diff --git a/profiler/compare_tools/compare_backend/utils/torch_op_node.py b/profiler/compare_tools/compare_backend/utils/torch_op_node.py index 69ee92d123..bb116a60c2 100644 --- a/profiler/compare_tools/compare_backend/utils/torch_op_node.py +++ b/profiler/compare_tools/compare_backend/utils/torch_op_node.py @@ -24,6 +24,10 @@ class TorchOpNode: def name(self): return self._event.name + @property + def tid(self): + return self._event.tid + @property def input_shape(self): return str(self._event.args.get("Input Dims", Constant.NA)) @@ -67,7 +71,7 @@ class TorchOpNode: @property def api_dur(self): return self._event.dur - + @property def api_self_time(self): return self.api_dur - sum(child.api_dur for child in self._child_nodes) diff --git a/profiler/compare_tools/compare_backend/utils/tree_builder.py b/profiler/compare_tools/compare_backend/utils/tree_builder.py index d5aa787ac2..b770115795 100644 --- a/profiler/compare_tools/compare_backend/utils/tree_builder.py +++ b/profiler/compare_tools/compare_backend/utils/tree_builder.py @@ -9,11 +9,13 @@ class TreeBuilder: @classmethod def build_tree(cls, event_list: list, kernel_dict: dict, memory_list: list) -> TorchOpNode: root_node = TorchOpNode() + all_nodes = [root_node] + ([None] * len(event_list)) all_event_list = [] all_event_list.extend(event_list) all_event_list.extend(memory_list) all_event_list.sort(key=lambda x: x.start_time) last_node = root_node + index = 1 for event in all_event_list: while last_node: if last_node != root_node and event.start_time > last_node.end_time: @@ -21,6 +23,8 @@ class TreeBuilder: continue if event.is_torch_op: tree_node = TorchOpNode(event, last_node) + all_nodes[index] = tree_node + index += 1 last_node.add_child_node(tree_node) last_node = tree_node if kernel_dict: @@ -29,7 +33,7 @@ class TreeBuilder: event.set_name(last_node.name) last_node.set_memory_allocated(event) break - return root_node + return all_nodes[:index] @classmethod def get_total_kernels(cls, root_node: TorchOpNode) -> list: diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py index 8073463592..e84cfe0484 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py @@ -26,6 +26,7 @@ class ProfilingParser(BaseProfilingParser): self._enable_communication_compare = True self._enable_kernel_compare = True self._enable_api_compare = True + self._bwd_tid = 1 def _update_kernel_details(self): pass diff --git a/profiler/test/ut/compare_tools/utils/test_tree_builder.py b/profiler/test/ut/compare_tools/utils/test_tree_builder.py index b9565b45ed..326a424d3d 100644 --- a/profiler/test/ut/compare_tools/utils/test_tree_builder.py +++ b/profiler/test/ut/compare_tools/utils/test_tree_builder.py @@ -18,11 +18,11 @@ class TestUtils(unittest.TestCase): for event in event_list: event.is_torch_op = True tree = TreeBuilder.build_tree(event_list, flow_kernel_dict, memory_allocated_list) - child_nodes = tree.child_nodes - self.assertEqual(len(tree._child_nodes), 2) + child_nodes = tree[0].child_nodes + self.assertEqual(len(tree[0].child_nodes), 2) self.assertEqual(child_nodes[0].start_time, 0) self.assertEqual(child_nodes[0].end_time, 1) self.assertEqual(child_nodes[0].kernel_num, 2) self.assertEqual(child_nodes[1].kernel_num, 0) - self.assertEqual(len(TreeBuilder.get_total_kernels(tree)), 2) - self.assertEqual(TreeBuilder.get_total_memory(tree)[0].size, 1) + self.assertEqual(len(TreeBuilder.get_total_kernels(tree[0])), 2) + self.assertEqual(TreeBuilder.get_total_memory(tree[0])[0].size, 1) -- Gitee From f9d3e0b8f55aa5a4a9a3d9a85a02c91cc5aca9f2 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 11:29:50 +0800 Subject: [PATCH 113/160] commit conflict --- debug/accuracy_tools/msprobe/pytorch/service.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 8d3e8fba24..c2749ecdf0 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -13,6 +13,9 @@ from msprobe.pytorch.common.log import logger from msprobe.pytorch.common.utils import get_rank_if_initialized from msprobe.pytorch.hook_module import remove_dropout from msprobe.pytorch.hook_module.api_registry import api_register +from msprobe.pytorch.hook_module.hook_module import HOOKModule +from msprobe.pytorch.module_processer import ModuleProcesser +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.attl import ATTLConfig, ATTL, ApiData class Service: -- Gitee From 4a5629b81e91ae156fb2d896d6fe7e5de2d214f2 Mon Sep 17 00:00:00 2001 From: gitee Date: Thu, 8 Aug 2024 11:39:04 +0800 Subject: [PATCH 114/160] change save tensor --- .../data_dump/data_processor/pytorch_processor.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 5672c3f9a5..1c8ce67ce8 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -12,6 +12,8 @@ from msprobe.core.common.const import Const, OverflowConst, FileCheckConst from msprobe.core.data_dump.data_processor.base import BaseDataProcessor, ModuleBackwardInputsOutputs, \ ModuleForwardInputsOutputs, TensorStatInfo from msprobe.pytorch.free_benchmark import FreeBenchmarkCheck, UnequalRow +from msprobe.pytorch.common.utils import save_pt + try: import torch_npu @@ -167,12 +169,9 @@ class StatisticsDataProcessor(PytorchDataProcessor): class TensorDataProcessor(PytorchDataProcessor): def _analyze_tensor(self, tensor, suffix): dump_data_name, file_path = self.get_save_file_path(suffix) - if not path_len_exceeds_limit(file_path): - saved_tensor = tensor.contiguous().detach() - torch.save(saved_tensor, file_path) - change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) - else: - logger.warning(f'The file path {file_path} length exceeds limit.') + saved_tensor = tensor.contiguous().detach() + torch.save(saved_tensor, file_path) + change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) single_arg = super()._analyze_tensor(tensor, suffix) single_arg.update({"data_name": dump_data_name}) return single_arg -- Gitee From 9bb7e3e82725cf14b56cfa13de58173b0dce47f3 Mon Sep 17 00:00:00 2001 From: gitee Date: Thu, 8 Aug 2024 11:41:10 +0800 Subject: [PATCH 115/160] fix bug --- .../msprobe/core/data_dump/data_processor/pytorch_processor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 1c8ce67ce8..b828d28de7 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -170,7 +170,7 @@ class TensorDataProcessor(PytorchDataProcessor): def _analyze_tensor(self, tensor, suffix): dump_data_name, file_path = self.get_save_file_path(suffix) saved_tensor = tensor.contiguous().detach() - torch.save(saved_tensor, file_path) + save_pt(saved_tensor, file_path) change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) single_arg = super()._analyze_tensor(tensor, suffix) single_arg.update({"data_name": dump_data_name}) -- Gitee From 52c6fc63efc2734c1afaf5dc3351c3d32aec8237 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 13:00:57 +0800 Subject: [PATCH 116/160] fix online run_ut --- debug/accuracy_tools/msprobe/pytorch/service.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 54428806fb..a9e4465270 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -74,7 +74,7 @@ class Service: return None if self.config.online_run_ut: - if not self.data_collector.scope or self.data_collector.scope.check(api_or_module_name): + if self.data_collector.scope and not self.data_collector.scope.check(api_or_module_name): return None api_data = ApiData(name[:-1], args, kwargs, output, self.current_iter, self.current_rank) self.attl_send(api_data) @@ -99,7 +99,7 @@ class Service: return if self.config.online_run_ut: - if not self.data_collector.scope or self.data_collector.scope.check(api_or_module_name): + if self.data_collector.scope and not self.data_collector.scope.check(api_or_module_name): return None api_data = ApiData(name[:-1], grad_input, {}, grad_output, self.current_iter, self.current_rank) self.attl_send(api_data) -- Gitee From e20cfc1183fd98219706211abb1770b3b6dd0a6a Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 13:53:41 +0800 Subject: [PATCH 117/160] fix online run_ut --- debug/accuracy_tools/msprobe/pytorch/service.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index a9e4465270..acea978151 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -60,6 +60,8 @@ class Service: if not self.switch: return args, kwargs + if self.config.online_run_ut: + return None, None if self.data_collector: module_input_output = ModuleForwardInputsOutputs(args=args, kwargs=kwargs, output=None) self.data_collector.pre_forward_data_collect(api_or_module_name, module, pid, module_input_output) @@ -100,10 +102,10 @@ class Service: if self.config.online_run_ut: if self.data_collector.scope and not self.data_collector.scope.check(api_or_module_name): - return None + return api_data = ApiData(name[:-1], grad_input, {}, grad_output, self.current_iter, self.current_rank) self.attl_send(api_data) - return None + return if self.data_collector: # 此处获取到的grad_input实际为反向过程的输出数据，grad_output为反向过程的输入数据，因此传入时调换顺序 @@ -134,7 +136,7 @@ class Service: if self.config.nfs_path: self.attl.upload("end") elif self.attl.socket_manager is not None: - logger.debug(f"进程{os.getpid()} 已完成,准备发送STOP信号") + logger.info(f"进程{os.getpid()} 已完成,准备发送STOP信号") self.attl.socket_manager.send_stop_signal() else: # current rank not need dump, wait @@ -153,7 +155,7 @@ class Service: api_register.api_modularity() self.switch = True logger.info_on_rank_0(f"Dump switch is turned on at step {self.current_iter}. ") - if self.config.level != "L2": + if self.config.level != "L2" and not self.config.online_run_ut: self.create_dirs() logger.info_on_rank_0(f"Dump data will be saved in {self.dump_iter_dir}.") @@ -165,6 +167,8 @@ class Service: if self.config.rank and self.current_rank not in self.config.rank: return self.switch = False + if self.config.online_run_ut: + return self.data_collector.write_json() def create_dirs(self): -- Gitee From 5f41cd17b76eea2f6d9ac2a1e68de5448c85f5ce Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 15:20:20 +0800 Subject: [PATCH 118/160] add tls online run_ut --- .../api_accuracy_checker/common/config.py | 6 ++-- .../pytorch/api_accuracy_checker/config.yaml | 2 +- .../api_accuracy_checker/run_ut/run_ut.py | 9 ++++-- .../tensor_transport_layer/attl.py | 13 +++++++-- .../tensor_transport_layer/client.py | 19 ++++++++++--- .../tensor_transport_layer/server.py | 20 +++++++++++-- .../tensor_transport_layer/ssl_config.py | 28 +++++++++++++++++++ .../pytorch/debugger/debugger_config.py | 1 + .../msprobe/pytorch/pt_config.py | 25 +++++++++++++++-- .../accuracy_tools/msprobe/pytorch/service.py | 3 +- 10 files changed, 107 insertions(+), 19 deletions(-) create mode 100644 debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py index 3c61624b60..cf8af8d2cd 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/common/config.py @@ -27,10 +27,10 @@ class Config: 'precision': int, 'is_online': bool, 'nfs_path': str, - 'is_benchmark_device': bool, 'host': str, 'port': int, - 'rank_list': list + 'rank_list': list, + 'tls_path': str } if key not in validators: raise ValueError(f"{key} must be one of {validators.keys()}") @@ -46,6 +46,8 @@ class Config: RunUTConfig.check_error_data_path_config(value) if key == 'nfs_path': RunUTConfig.check_nfs_path_config(value) + if key == 'tls_path': + RunUTConfig.check_tls_path_config(value) return value diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml index c2bb847b79..49f8a726de 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/config.yaml @@ -4,7 +4,7 @@ error_data_path: './' precision: 14 is_online: False nfs_path: "" -is_benchmark_device: True host: "" port: -1 rank_list: [0] +tls_path: "" diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index aed8724a37..88e327e3cd 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -48,7 +48,7 @@ RunUTConfig = namedtuple('RunUTConfig', ['forward_content', 'backward_content', 'save_error_data', 'is_continue_run_ut', 'real_data_path', 'white_list', 'black_list', 'error_data_path', 'online_config']) -OnlineConfig = namedtuple('OnlineConfig', ['is_online', 'nfs_path', 'host', 'port', 'rank_list']) +OnlineConfig = namedtuple('OnlineConfig', ['is_online', 'nfs_path', 'host', 'port', 'rank_list', 'tls_path']) not_backward_list = ['repeat_interleave'] not_detach_set = {'resize_', 'resize_as_', 'set_', 'transpose_', 't_', 'squeeze_', 'unsqueeze_'} @@ -442,7 +442,8 @@ def init_attl(config): attl = ATTL('gpu', ATTLConfig(is_benchmark_device=True, connect_ip=config.host, connect_port=config.port, - nfs_path=config.nfs_path)) + nfs_path=config.nfs_path, + tls_path=config.tls_path)) return attl @@ -572,6 +573,7 @@ def run_ut_command(args): host = msCheckerConfig.host port = msCheckerConfig.port rank_list = msCheckerConfig.rank_list + tls_path = msCheckerConfig.tls_path if args.config_path: _, task_config = parse_json_config(args.config_path, Const.RUN_UT) white_list = task_config.white_list @@ -582,6 +584,7 @@ def run_ut_command(args): host = task_config.host port = task_config.port rank_list = task_config.rank_list + tls_path = task_config.tls_path if save_error_data: if args.result_csv_path: @@ -589,7 +592,7 @@ def run_ut_command(args): global UT_ERROR_DATA_DIR UT_ERROR_DATA_DIR = 'ut_error_data' + time_info error_data_path = initialize_save_error_data(error_data_path) - online_config = OnlineConfig(is_online, nfs_path, host, port, rank_list) + online_config = OnlineConfig(is_online, nfs_path, host, port, rank_list, tls_path) run_ut_config = RunUTConfig(forward_content, backward_content, result_csv_path, details_csv_path, save_error_data, args.result_csv_path, real_data_path, set(white_list), set(black_list), error_data_path, online_config) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index 18099a3d38..d3f5066304 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -13,6 +13,7 @@ import torch from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.client import TCPClient from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.server import TCPServer from msprobe.pytorch.common.utils import logger +from msprobe.pytorch.common.utils import save_pt from msprobe.core.common.utils import remove_path @@ -28,6 +29,7 @@ class ATTLConfig: connect_port: int # storage_config nfs_path: str = None + tls_path: str = None check_sum: bool = True queue_size: int = 50 @@ -49,12 +51,14 @@ class ATTL: self.socket_manager = TCPServer(self.session_config.connect_port, self.data_queue, - self.session_config.check_sum) + self.session_config.check_sum, + self.session_config.tls_path) self.socket_manager.start() elif need_dump: self.socket_manager = TCPClient(self.session_config.connect_ip, self.session_config.connect_port, - self.session_config.check_sum) + self.session_config.check_sum, + self.session_config.tls_path) self.socket_manager.start() def check_attl_config(self): @@ -140,7 +144,10 @@ class ATTL: else: file_path = os.path.join(self.session_config.nfs_path, buffer + f"_{int(time.time())}") - torch.save(buffer, file_path) + try: + save_pt(buffer, file_path) + except Exception as e: + self.logger.warning("there is something error in save_pt. please check it. %s", e) def download(self): for file_type in ("start*", "*.pt", "end*"): diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py index 5a436915cd..d9b0bd7d40 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py @@ -9,10 +9,12 @@ from queue import Queue from threading import Thread from typing import Union -from twisted.internet import reactor, protocol, endpoints +from OpenSSL import SSL +from twisted.internet import ssl, reactor, protocol, endpoints from twisted.protocols.basic import FileSender from msprobe.pytorch.common.utils import logger +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.ssl_config import cipher_list class TCPDataItem: @@ -43,11 +45,12 @@ class TCPClient: RESEND_TIMER_TIME = 5 # 接收ACK超时定时器 RESEND_PENDING_TIME = 60 # 连续pending时间超过1分钟则放弃该数据 - def __init__(self, host="localhost", port=8000, check_sum=False): + def __init__(self, host="localhost", port=8000, check_sum=False, tls_path=None): self.send_queue = Queue(self.MAX_SENDING_QUEUE_SIZE) self.resend_dict = dict() self.host = host self.port = port + self.tls_path = tls_path self.factory = None self.sequence_number = 0 self.signal_exit = False @@ -86,8 +89,16 @@ class TCPClient: self.factory = MessageClientFactory() self.factory.protocol = cur_protocol - - endpoint = endpoints.TCP4ClientEndpoint(reactor, self.host, self.port) + if self.tls_path: + client_key = os.path.join(self.tls_path, "client.key") + client_crt = os.path.join(self.tls_path, "client.crt") + client_context_factory = ssl.DefaultOpenSSLContextFactory(client_key, client_crt, SSL.TLSv1_2_METHOD) + client_context_ = client_context_factory.getContext() + client_context_.set_cipher_list(cipher_list) + client_context_.set_options(SSL.OP_NO_RENEGOTIATION) + endpoint = endpoints.SSL4ClientEndpoint(reactor, self.host, self.port) + else: + endpoint = endpoints.TCP4ClientEndpoint(reactor, self.host, self.port) d = endpoint.connect(self.factory) d.addCallback(conn_callback) d.addErrback(conn_err_callback) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py index 6dba190562..f7883bc62f 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py @@ -1,19 +1,23 @@ +import os.path import struct import hashlib import time import io +from OpenSSL import SSL from threading import Thread -from twisted.internet import reactor, protocol, endpoints +from twisted.internet import ssl, reactor, protocol, endpoints from msprobe.pytorch.common.utils import logger +from msprobe.pytorch.api_accuracy_checker.tensor_transport_layer.ssl_config import cipher_list class TCPServer: - def __init__(self, port, shared_queue, check_sum=False) -> None: + def __init__(self, port, shared_queue, check_sum=False, tls_path=None) -> None: self.port = port self.shared_queue = shared_queue self.check_sum = check_sum + self.tls_path = tls_path self.factory = MessageServerFactory() self.reactor_thread = None @@ -23,7 +27,17 @@ class TCPServer: def start(self): self.factory.protocol = self.build_protocol - endpoint = endpoints.TCP4ServerEndpoint(reactor, self.port) + + if self.tls_path: + server_key = os.path.join(self.tls_path, "server.key") + server_crt = os.path.join(self.tls_path, "server.crt") + server_context_factory = ssl.DefaultOpenSSLContextFactory(server_key, server_crt, SSL.TLSv1_2_METHOD) + server_context_ = server_context_factory.getContext() + server_context_.set_cipher_list(cipher_list) + server_context_.set_options(SSL.OP_NO_RENEGOTIATION) + endpoint = endpoints.SSL4ServerEndpoint(reactor, self.port) + else: + endpoint = endpoints.TCP4ServerEndpoint(reactor, self.port) endpoint.listen(self.factory) self.reactor_thread = Thread(target=self.run_reactor, daemon=True) self.reactor_thread.start() diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py new file mode 100644 index 0000000000..2bc200bacf --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py @@ -0,0 +1,28 @@ +cipher_list = ":".join([ + 'TLS_DHE_RSA_WITH_AES_128_GCM_SHA256', + 'TLS_DHE_RSA_WITH_AES_256_GCM_SHA384', + 'TLS_DHE_DSS_WITH_AES_128_GCM_SHA256', + 'TLS_DHE_DSS_WITH_AES_256_GCM_SHA384', + 'TLS_PSK_WITH_AES_256_GCM_SHA384', + 'TLS_DHE_PSK_WITH_AES_128_GCM_SHA256', + 'TLS_DHE_PSK_WITH_AES_256_GCM_SHA384', + 'TLS_DHE_PSK_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256', + 'TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384', + 'TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256', + 'TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384', + 'TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_ECDHE_PSK_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_ECDHE_PSK_WITH_AES_128_GCM_SHA256', + 'TLS_ECDHE_PSK_WITH_AES_256_GCM_SHA384', + 'TLS_ECDHE_PSK_WITH_AES_128_CCM_SHA256', + 'TLS_DHE_RSA_WITH_AES_128_CCM', + 'TLS_DHE_RSA_WITH_AES_256_CCM' + 'TLS_DHE_RSA_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_PSK_WITH_AES_256_CCM', + 'TLS_DHE_PSK_WITH_AES_128_CCM', + 'TLS_DHE_PSK_WITH_AES_256_CCM', + 'TLS_ECDHE_ECDSA_WITH_AES_128_CCM', + 'TLS_ECDHE_ECDSA_WITH_AES_256_CCM', + 'TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256' +]).encode() diff --git a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py index 2303c76fc6..9bed41dbae 100644 --- a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py @@ -39,6 +39,7 @@ class DebuggerConfig: # dump api tensor and collaborate with online run_ut self.online_run_ut = task_config.online_run_ut if task_config.online_run_ut else False self.nfs_path = task_config.nfs_path if task_config.nfs_path else "" + self.tls_path = task_config.tls_path if task_config.tls_path else "" self.host = task_config.host if task_config.host else "" self.port = task_config.port if task_config.port else -1 diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index f771473c1c..115cb00011 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -14,13 +14,24 @@ class TensorConfig(BaseConfig): self.nfs_path = json_config.get("nfs_path", "") self.host = json_config.get("host", "") self.port = json_config.get("port", -1) + self.tls_path = json_config.get("tls_path", "") self.check_config() self._check_file_format() + self._check_tls_path_config() def _check_file_format(self): if self.file_format is not None and self.file_format not in ["npy", "bin"]: raise Exception("file_format is invalid") + def _check_tls_path_config(self): + if self.tls_path: + if not os.path.exists(self.tls_path): + raise Exception("tls_path: %s does not exist" % self.tls_path) + if not os.path.exists(os.path.join(self.tls_path, "client.key")): + raise Exception("tls_path does not contain client.key") + if not os.path.exists(os.path.join(self.tls_path, "client.crt")): + raise Exception("tls_path does not contain client.crt") + class StatisticsConfig(BaseConfig): def __init__(self, json_config): @@ -77,10 +88,9 @@ class RunUTConfig(BaseConfig): self.error_data_path = json_config.get("error_data_path", Const.DEFAULT_PATH) self.is_online = json_config.get("is_online", False) self.nfs_path = json_config.get("nfs_path", "") - self.is_benchmark_device = json_config.get("is_benchmark_device", True) self.host = json_config.get("host", "") self.port = json_config.get("port", -1) - self.rank_list = json_config.get("rank_list", Const.DEFAULT_LIST) + self.tls_path = json_config.get("tls_path", "") self.check_run_ut_config() @classmethod @@ -103,11 +113,22 @@ class RunUTConfig(BaseConfig): if nfs_path and not os.path.exists(nfs_path): raise Exception("nfs_path: %s does not exist" % nfs_path) + @classmethod + def check_tls_path_config(cls, tls_path): + if tls_path: + if not os.path.exists(tls_path): + raise Exception("tls_path: %s does not exist" % tls_path) + if not os.path.exists(os.path.join(tls_path, "server.key")): + raise Exception("tls_path does not contain server.key") + if not os.path.exists(os.path.join(tls_path, "server.crt")): + raise Exception("tls_path does not contain server.crt") + def check_run_ut_config(self): RunUTConfig.check_filter_list_config(Const.WHITE_LIST, self.white_list) RunUTConfig.check_filter_list_config(Const.BLACK_LIST, self.black_list) RunUTConfig.check_error_data_path_config(self.error_data_path) RunUTConfig.check_nfs_path_config(self.nfs_path) + RunUTConfig.check_tls_path_config(self.tls_path) class GradToolConfig(BaseConfig): diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index acea978151..afcac50db0 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -41,7 +41,8 @@ class Service: attl_config = ATTLConfig(is_benchmark_device=False, connect_ip=self.config.host, connect_port=self.config.port, - nfs_path=self.config.nfs_path) + nfs_path=self.config.nfs_path, + tls_path=self.config.tls_path) need_dump = len(self.config.rank) == 0 or self.current_rank in self.config.rank self.attl = ATTL('npu', attl_config, need_dump=need_dump) if self.config.nfs_path: -- Gitee From b3844f0ee25bbffcd1d16035f134bfc8553f5ac7 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 15:22:42 +0800 Subject: [PATCH 119/160] =?UTF-8?q?=E8=A7=A3=E8=80=A6mindspore=E5=92=8Cpyt?= =?UTF-8?q?orch=E5=9C=A8=E8=A2=ABmsprobe=E8=B0=83=E7=94=A8=E6=97=B6?= =?UTF-8?q?=E4=BC=9A=E4=BA=92=E7=9B=B8=E4=BE=9D=E8=B5=96=E7=9A=84=E6=83=85?= =?UTF-8?q?=E5=86=B5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/msprobe.py | 50 +++++++++++++++++-------- 1 file changed, 35 insertions(+), 15 deletions(-) diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 4bc841654e..802913814e 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -15,16 +15,15 @@ import argparse import sys -from msprobe.pytorch.api_accuracy_checker.run_ut.run_ut import _run_ut_parser, run_ut_command -from msprobe.pytorch.parse_tool.cli import parse as cli_parse -from msprobe.pytorch.api_accuracy_checker.run_ut.multi_run_ut import prepare_config, run_parallel_ut -from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _api_precision_compare_parser, \ - _api_precision_compare_command -from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ - _run_overflow_check_command +import importlib.util from msprobe.core.compare.utils import _compare_parser -from msprobe.pytorch.compare.compare_cli import compare_cli -from msprobe.mindspore.compare.compare_cli import compare_cli_ms +from msprobe.core.common.log import logger + + +def is_module_available(module_name): + spec =importlib.util.find_spec(module_name) + return spec is not None + def main(): parser = argparse.ArgumentParser( @@ -33,6 +32,7 @@ def main(): "Providing one-site accuracy difference debugging toolkit for training on Ascend Devices.\n" f"For any issue, refer README.md first", ) + parser.set_defaults(print_help=parser.print_help) parser.add_argument('-f', '--framework', required=True, choices=['pytorch', 'mindspore'], help='Deep learning framework.') @@ -43,18 +43,32 @@ def main(): multi_run_ut_cmd_parser = subparsers.add_parser('multi_run_ut') api_precision_compare_cmd_parser = subparsers.add_parser('api_precision_compare') run_overflow_check_cmd_parser = subparsers.add_parser('run_overflow_check') - _compare_parser(compare_cmd_parser) - _run_ut_parser(run_ut_cmd_parser) - _run_ut_parser(multi_run_ut_cmd_parser) multi_run_ut_cmd_parser.add_argument('-n', '--num_splits', type=int, choices=range(1, 65), default=8, help='Number of splits for parallel processing. Range: 1-64') - _api_precision_compare_parser(api_precision_compare_cmd_parser) - _run_overflow_check_parser(run_overflow_check_cmd_parser) + + _compare_parser(compare_cmd_parser) + if len(sys.argv) == 1: parser.print_help() sys.exit(0) args = parser.parse_args(sys.argv[1:]) if sys.argv[2] == "pytorch": + if is_module_available("torch"): + from msprobe.pytorch.api_accuracy_checker.run_ut.run_ut import _run_ut_parser, run_ut_command + from msprobe.pytorch.parse_tool.cli import parse as cli_parse + from msprobe.pytorch.api_accuracy_checker.run_ut.multi_run_ut import prepare_config, run_parallel_ut + from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _api_precision_compare_parser, \ + _api_precision_compare_command + from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ + _run_overflow_check_command + from msprobe.pytorch.compare.compare_cli import compare_cli + _run_ut_parser(run_ut_cmd_parser) + _run_ut_parser(multi_run_ut_cmd_parser) + _api_precision_compare_parser(api_precision_compare_cmd_parser) + _run_overflow_check_parser(run_overflow_check_cmd_parser) + else: + logger.error("Pytorch does not exit, please install pytorch library") + raise Exception() if sys.argv[3] == "run_ut": run_ut_command(args) elif sys.argv[3] == "parse": @@ -69,7 +83,13 @@ def main(): elif sys.argv[3] == "compare": compare_cli(args) else: - compare_cli_ms(args) + if is_module_available("mindspore"): + from msprobe.mindspore.compare.compare_cli import compare_cli_ms + else: + logger.error("Mindspore does not exit, please install mindspore library") + raise Exception() + if sys.argv[3] == "compare": + compare_cli_ms(args) if __name__ == "__main__": main() -- Gitee From 857954958b84b5d048545a759e7d86f68ab9c38d Mon Sep 17 00:00:00 2001 From: gitee Date: Thu, 8 Aug 2024 15:49:41 +0800 Subject: [PATCH 120/160] fix bug --- .../msprobe/core/data_dump/data_processor/pytorch_processor.py | 1 - 1 file changed, 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index b828d28de7..ba71fe1dce 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -171,7 +171,6 @@ class TensorDataProcessor(PytorchDataProcessor): dump_data_name, file_path = self.get_save_file_path(suffix) saved_tensor = tensor.contiguous().detach() save_pt(saved_tensor, file_path) - change_mode(file_path, FileCheckConst.DATA_FILE_AUTHORITY) single_arg = super()._analyze_tensor(tensor, suffix) single_arg.update({"data_name": dump_data_name}) return single_arg -- Gitee From bf856dcb1f4d2d7a4ad3427bf32b0acabd34bd17 Mon Sep 17 00:00:00 2001 From: jiandaobao Date: Wed, 7 Aug 2024 16:22:18 +0800 Subject: [PATCH 121/160] Align input of backward --- .../data_processor/pytorch_processor.py | 2 +- .../free_benchmark/compare/grad_saver.py | 44 +++++++++---------- .../perturbed_layers/npu/improve_precision.py | 4 +- 3 files changed, 23 insertions(+), 27 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 007fec8096..e7c8056b26 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -303,7 +303,7 @@ class FreeBenchmarkDataProcessor(PytorchDataProcessor): self._forward_new_output = new_output def analyze_backward(self, name, module, module_input_output: ModuleBackwardInputsOutputs): - self.checker.backward(name, module, module_input_output.grad_output) + self.checker.backward(name, module, module_input_output.grad_input) class KernelDumpDataProcessor(PytorchDataProcessor): diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py index 6781a1c2fc..21f2b3b46c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py @@ -16,7 +16,6 @@ class GradSaver: self.handler_params = handler_params self.api_name = handler_params.api_name self.origin_func = origin_func - self.data_params = DataParams() self.is_compare = True self.kwargs = dict() self.perturbed_grad_input = tuple() @@ -62,27 +61,25 @@ class GradSaver: def compare_grad_results(self, handler, origin_grad, perturbed_grad, index): # TODO get dtype? - self.data_params.original_result = origin_grad - self.data_params.perturbed_result = perturbed_grad - self.data_params.grad_unequal_flag = False - self.data_params.valid_input_index = index + data_params = DataParams() + data_params.original_result = origin_grad + data_params.perturbed_result = perturbed_grad + data_params.grad_unequal_flag = False + data_params.valid_input_index = index try: - handler.handle(self.data_params) - if not self.data_params.is_consistent: + handler.handle(data_params) + if not data_params.is_consistent: self.is_compare = False - self.data_params.grad_unequal_flag = True - self.data_params.is_consistent = True - self.data_params.perturbed_result = self.perturbed_grad_input - self.data_params.original_result = self.origin_grad_input - handler.handle(self.data_params) + data_params.grad_unequal_flag = True + data_params.is_consistent = True + data_params.perturbed_result = self.perturbed_grad_input + data_params.original_result = self.origin_grad_input + handler.handle(data_params) except Exception as e: logger.warning_on_rank_0( f"[msprobe] Free benchmark: compare two vjp failed: api:{self.handler_params.api_name}." f"{e}" ) - # 在扰动前后输出对比后释放输出的引用 - self.data_params.perturbed_result = None - self.data_params.original_result = None def check_grad_input(self, origin_grad, new_grad_index): if self.perturbed_grad_input is None: @@ -164,20 +161,19 @@ class GradSaver: return grad_input def calculate_perturbed_grad_input(self, grad_output, need_grad_tensors, inner_args): - self.data_params.args = [need_grad_tensors, grad_output, inner_args] - self.data_params.kwargs = {} - self.data_params.valid_input_index = 0 - self.data_params.origin_func = self.get_grad_input_from_vjp + data_params = DataParams() + data_params.args = [need_grad_tensors, grad_output, inner_args] + data_params.kwargs = {} + data_params.valid_input_index = 0 + data_params.origin_func = self.get_grad_input_from_vjp layer = LayerFactory.create( self.handler_params.api_name, self.handler_params.fuzz_device, self.handler_params.pert_mode, ) - layer.handle(self.data_params) - # 在计算扰动输出之后，释放输入的引用 - self.data_params.args = None + layer.handle(data_params) # 确定扰动成功后，才会暂存 - if self.data_params.perturbed_result: + if data_params.perturbed_result: self.perturbed_grad_input = tuple( - [x.cpu() for x in self.data_params.perturbed_result] + [x.cpu() for x in data_params.perturbed_result] ) diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py index ad6d8b8989..b455c202e9 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/perturbed_layers/npu/improve_precision.py @@ -17,7 +17,7 @@ class ImprovePrecisionLayer(NpuBaseLayer): and torch.is_floating_point(tensor_obj) and tensor_obj.dtype not in [torch.float32, torch.float64] ): - self._set_improve_valus(tensor_obj) + self._set_improve_values(tensor_obj) tensor_obj = self._change_dtype(tensor_obj) self.is_added = True return tensor_obj @@ -50,7 +50,7 @@ class ImprovePrecisionLayer(NpuBaseLayer): params.perturbed_result = params.origin_func(*new_args, **new_kwargs) return params.perturbed_result - def _set_improve_valus(self, inputs): + def _set_improve_values(self, inputs): if inputs.dtype in [torch.float16, torch.bfloat16]: self.perturbed_value = torch.float32 -- Gitee From 2c50fda1104810925fb566b150aca9467144f3a0 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 16:06:48 +0800 Subject: [PATCH 122/160] =?UTF-8?q?=E5=88=A0=E9=99=A4=E5=A4=9A=E4=BD=99?= =?UTF-8?q?=E5=AF=B9=E8=B1=A1=EF=BC=8C=E8=B0=83=E6=95=B4=E7=B1=BB=E6=96=B9?= =?UTF-8?q?=E6=B3=95=E5=8F=82=E6=95=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/core/compare/acc_compare.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 015e332283..df5ff18b2e 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -11,7 +11,7 @@ class Comparator: pass @classmethod - def match_op(self,npu_queue, bench_queue, fuzzy_match): + def match_op(cls,npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): if check_op(npu_queue[-1], b_op, fuzzy_match): return len(npu_queue) - 1, b_index @@ -55,6 +55,4 @@ class Comparator: err_msg += " Fuzzy matching data, the comparison accuracy may be affected." result_list.append(err_msg) return result_list - -testComparator= Comparator() -- Gitee From b1b8c0390c6b1265d369a8268a341739e4dcd4ac Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 16:51:53 +0800 Subject: [PATCH 123/160] add tls online run_ut --- .../msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py | 4 ++-- .../api_accuracy_checker/tensor_transport_layer/client.py | 2 +- .../api_accuracy_checker/tensor_transport_layer/server.py | 2 +- debug/accuracy_tools/msprobe/pytorch/pt_config.py | 1 + 4 files changed, 5 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 88e327e3cd..a1e2e64a9b 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -206,8 +206,8 @@ def run_ut(config): for result_csv_path, details_csv_path in zip(compare.save_path_list, compare.detail_save_path_list): change_mode(result_csv_path, FileCheckConst.DATA_FILE_AUTHORITY) change_mode(details_csv_path, FileCheckConst.DATA_FILE_AUTHORITY) - logger.info()(f"UT task result csv is saved in {result_csv_path}") - logger.info()(f"UT task details csv is saved in {details_csv_path}") + logger.info(f"UT task result csv is saved in {result_csv_path}") + logger.info(f"UT task details csv is saved in {details_csv_path}") compare.print_pretest_result() diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py index d9b0bd7d40..df7abc188d 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/client.py @@ -96,7 +96,7 @@ class TCPClient: client_context_ = client_context_factory.getContext() client_context_.set_cipher_list(cipher_list) client_context_.set_options(SSL.OP_NO_RENEGOTIATION) - endpoint = endpoints.SSL4ClientEndpoint(reactor, self.host, self.port) + endpoint = endpoints.SSL4ClientEndpoint(reactor, self.host, self.port, client_context_factory) else: endpoint = endpoints.TCP4ClientEndpoint(reactor, self.host, self.port) d = endpoint.connect(self.factory) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py index f7883bc62f..690ffea3e8 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py @@ -35,7 +35,7 @@ class TCPServer: server_context_ = server_context_factory.getContext() server_context_.set_cipher_list(cipher_list) server_context_.set_options(SSL.OP_NO_RENEGOTIATION) - endpoint = endpoints.SSL4ServerEndpoint(reactor, self.port) + endpoint = endpoints.SSL4ServerEndpoint(reactor, self.port, server_context_factory) else: endpoint = endpoints.TCP4ServerEndpoint(reactor, self.port) endpoint.listen(self.factory) diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index 115cb00011..bb82f13b82 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -90,6 +90,7 @@ class RunUTConfig(BaseConfig): self.nfs_path = json_config.get("nfs_path", "") self.host = json_config.get("host", "") self.port = json_config.get("port", -1) + self.rank_list = json_config.get("rank_list", Const.DEFAULT_LIST) self.tls_path = json_config.get("tls_path", "") self.check_run_ut_config() -- Gitee From abc25da9aa7f99d9445f9b493e9c47de3dcae00e Mon Sep 17 00:00:00 2001 From: Mrtutu Date: Tue, 6 Aug 2024 22:07:04 +0800 Subject: [PATCH 124/160] add parallel --- profiler/cluster_analyse/README.md | 6 + .../analysis/step_trace_time_analysis.py | 39 +++++- .../cluster_utils/parallel_algorithm.py | 120 ++++++++++++++++++ .../parallel_strategy_calculator.py | 119 +++++++++++++++++ .../cluster_analyse/common_func/constant.py | 3 + .../common_func/tables_config.py | 5 +- .../test_parallel_strategy_calculator.py | 46 +++++++ 7 files changed, 336 insertions(+), 2 deletions(-) create mode 100644 profiler/cluster_analyse/cluster_utils/parallel_algorithm.py create mode 100644 profiler/cluster_analyse/cluster_utils/parallel_strategy_calculator.py create mode 100644 profiler/test/ut/cluster_analyse/cluster_utils/test_parallel_strategy_calculator.py diff --git a/profiler/cluster_analyse/README.md b/profiler/cluster_analyse/README.md index 4a394e09a4..785056252c 100644 --- a/profiler/cluster_analyse/README.md +++ b/profiler/cluster_analyse/README.md @@ -98,6 +98,12 @@ K列：Communication（Not Overlapped and Exclude Receive）指剔除recieve算 L列：Preparing，指迭代开始到首个计算或通信算子运行的时间。 +M列：DP Index，指集群数据按照并行策略切分后所属DP组的索引， 如果没有采集则不显示。 + +N列：PP Index，指集群数据按照并行策略切分后所属PP组的索引，如果没有采集则不显示。 + +O列：TP Index，指集群数据按照并行策略切分后所属TP组的索引，如果没有采集则不显示。 + **Tips**：先筛选B列type为stage， 看stage间是否有问题，再筛选B列type为rank，看rank是否有问题，根据以下几点排查。 * 根据Computing的时间差异判断是否有慢卡，或者有负载不均衡的现象。 diff --git a/profiler/cluster_analyse/analysis/step_trace_time_analysis.py b/profiler/cluster_analyse/analysis/step_trace_time_analysis.py index 6a886fffa9..617c0aafcb 100644 --- a/profiler/cluster_analyse/analysis/step_trace_time_analysis.py +++ b/profiler/cluster_analyse/analysis/step_trace_time_analysis.py @@ -19,11 +19,14 @@ from common_func.db_manager import DBManager from common_func.constant import Constant from common_func.file_manager import FileManager from prof_bean.step_trace_time_bean import StepTraceTimeBean +from cluster_utils.parallel_strategy_calculator import ParallelStrategyCalculator class StepTraceTimeAnalysis: CLUSTER_TRACE_TIME_CSV = "cluster_step_trace_time.csv" CLUSTER_TRACE_TIME_TABLE = "ClusterStepTraceTime" + PROFILER_METADATA_JSON = "profiler_metadata.json" + PARALLEL_HEADERS = ["DP Index", "PP Index", "TP Index"] def __init__(self, param: dict): self.collection_path = param.get(Constant.COLLECTION_PATH) @@ -32,6 +35,7 @@ class StepTraceTimeAnalysis: self.step_time_dict = {} self.step_data_list = [] self.data_type = param.get(Constant.DATA_TYPE) + self.distributed_args = None @staticmethod def get_max_data_row(data_group_list: list): @@ -48,8 +52,35 @@ class StepTraceTimeAnalysis: def run(self): self.load_step_trace_time_data() self.analyze_step_time() + self.partition_ranks_data() self.dump_data() + def partition_ranks_data(self): + if not self.distributed_args: + return + + calculator = ParallelStrategyCalculator(**self.distributed_args) + parallelism_map = calculator.run() + + if len(parallelism_map) > len(self.step_time_dict): + missing_rank_ids = [rank_id for rank_id in range(len(parallelism_map)) + if rank_id not in self.step_time_dict] + print(f"[WARNING] Step trace data length should equal to real rank numbers, " + f"but get step data length = {len(self.step_time_dict)}, real rank numbers = {len(parallelism_map)}, " + f"maybe lost some rank ids = {missing_rank_ids}, please check your profiling data.") + + if len(parallelism_map) < len(self.step_time_dict): + print(f"[ERROR] Step trace data length should equal to real rank numbers, " + f"but get step data length = {len(self.step_time_dict)}, real rank numbers = {len(parallelism_map)}, " + f"maybe parallel params in profiler_metadata.json is error, please check your metadata data.") + self.distributed_args = None + return + + for step_data in self.step_data_list: + rank_id = step_data[2] + step_data.extend(list(parallelism_map[rank_id]) + if parallelism_map[rank_id] else ['NA'] * len(self.PARALLEL_HEADERS)) + def dump_data(self): if not self.step_data_list: print("[WARNING] Can't get step time info!") @@ -74,6 +105,10 @@ class StepTraceTimeAnalysis: def load_step_trace_time_data(self): for rank_id, profiling_dir_path in self.data_map.items(): + metadata_path = os.path.join(profiling_dir_path, self.PROFILER_METADATA_JSON) + if not self.distributed_args and os.path.exists(metadata_path): + metadata = FileManager.read_json_file(metadata_path) + self.distributed_args = metadata.get(Constant.DISTRIBUTED_ARGS, None) if metadata else None if self.data_type == Constant.TEXT: step_time_file = os.path.join(profiling_dir_path, Constant.SINGLE_OUTPUT, Constant.STEP_TIME_CSV) if os.path.exists(step_time_file): @@ -121,6 +156,8 @@ class StepTraceTimeAnalysis: def get_headers(self): if self.step_time_dict: for rank in self.step_time_dict: - if self.step_time_dict.get(rank): + if self.step_time_dict.get(rank) and self.distributed_args: + return self.step_time_dict[rank][0].all_headers + self.PARALLEL_HEADERS + elif self.step_time_dict.get(rank): return self.step_time_dict[rank][0].all_headers return [] diff --git a/profiler/cluster_analyse/cluster_utils/parallel_algorithm.py b/profiler/cluster_analyse/cluster_utils/parallel_algorithm.py new file mode 100644 index 0000000000..9da829bbd0 --- /dev/null +++ b/profiler/cluster_analyse/cluster_utils/parallel_algorithm.py @@ -0,0 +1,120 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from abc import ABC, abstractmethod + + +class ParallelAlgorithm(ABC): + @abstractmethod + def partition(self): + pass + + +class MegatronAlgorithm(ParallelAlgorithm): + def __init__(self, + world_size: int = 1, + tensor_model_parallel_size: int = 1, + pipeline_model_parallel_size: int = 1, + data_parallel_size: int = 1, + context_parallel_size: int = 1, + expert_model_parallel_size: int = 1, + **kwargs): + + if data_parallel_size % expert_model_parallel_size != 0: + raise RuntimeError( + f"data_parallel_size is not divisible by " + f"expert_model_parallel_size, get data_parallel_size = {data_parallel_size}, " + f"expert_model_parallel_size = {expert_model_parallel_size}" + ) + + if data_parallel_size * context_parallel_size % expert_model_parallel_size != 0: + raise RuntimeError( + f"data_parallel_size * context_parallel_size {data_parallel_size * context_parallel_size} " + f"is not divisible by expert_model_parallel_size " + ) + + if world_size != tensor_model_parallel_size * pipeline_model_parallel_size * data_parallel_size: + raise RuntimeError( + f"world_size must be equal to tensor_model_parallel_size * " + f"pipeline_model_parallel_size * data_parallel_size, but get world_size = {world_size}, " + f"tensor_model_parallel_size = {tensor_model_parallel_size}, " + f"pipeline_model_parallel_size = {pipeline_model_parallel_size}, " + f"data_parallel_size = {data_parallel_size}" + ) + + self.world_size = world_size + self.tensor_model_parallel_size = tensor_model_parallel_size + self.pipeline_model_parallel_size = pipeline_model_parallel_size + self.data_parallel_size = data_parallel_size + self.context_parallel_size = context_parallel_size + self.expert_model_parallel_size = expert_model_parallel_size + + self.num_tensor_model_parallel_groups = self.world_size // tensor_model_parallel_size + self.num_pipeline_model_parallel_groups = self.world_size // pipeline_model_parallel_size + self.num_data_parallel_groups = self.world_size // data_parallel_size + + self.all_data_parallel_group_ranks = [] + self.all_data_parallel_group_ranks_with_cp = [] + self.all_model_parallel_group_ranks = [] + self.all_tensor_model_parallel_ranks = [] + self.all_expert_parallel_ranks = [] + self.all_pipeline_model_parallel_ranks = [] + + def partition(self): + self._build_dp_group() + self._build_tp_group() + self._build_pp_group() + self._build_ep_group() + + def _build_dp_group(self): + # Build the data-parallel groups + for i in range(self.pipeline_model_parallel_size): + begin_rank = self.num_pipeline_model_parallel_groups * i + end_rank = self.num_pipeline_model_parallel_groups * (i + 1) + for k in range(self.tensor_model_parallel_size * self.context_parallel_size): + ranks = range(begin_rank + k, + end_rank, self.tensor_model_parallel_size * self.context_parallel_size) + self.all_data_parallel_group_ranks.append(list(ranks)) + + for k in range(self.tensor_model_parallel_size): + ranks_with_cp = range(begin_rank + k, + end_rank, self.tensor_model_parallel_size) + self.all_data_parallel_group_ranks_with_cp.append(list(ranks_with_cp)) + + # Build the model-parallel groups + for i in range(self.data_parallel_size): + ranks = [data_parallel_group_ranks[i] + for data_parallel_group_ranks in self.all_data_parallel_group_ranks] + self.all_model_parallel_group_ranks.append(list(ranks)) + + def _build_tp_group(self): + # Build the tensor model-parallel groups. + for i in range(self.num_tensor_model_parallel_groups): + ranks = range(i * self.tensor_model_parallel_size, + (i + 1) * self.tensor_model_parallel_size) + self.all_tensor_model_parallel_ranks.append(list(ranks)) + + def _build_pp_group(self): + # Build the pipeline model-parallel groups. + for p in range(self.num_pipeline_model_parallel_groups): + ranks = range(p, self.world_size, + self.num_pipeline_model_parallel_groups) + self.all_pipeline_model_parallel_ranks.append(list(ranks)) + + def _build_ep_group(self): + # Build the expert model-parallel groups. + for dp_cp_ranks in self.all_data_parallel_group_ranks_with_cp: + for i in range(0, len(dp_cp_ranks), self.expert_model_parallel_size): + ranks = dp_cp_ranks[i:i + self.expert_model_parallel_size] + self.all_expert_parallel_ranks.append(list(ranks)) diff --git a/profiler/cluster_analyse/cluster_utils/parallel_strategy_calculator.py b/profiler/cluster_analyse/cluster_utils/parallel_strategy_calculator.py new file mode 100644 index 0000000000..0f0a1809d9 --- /dev/null +++ b/profiler/cluster_analyse/cluster_utils/parallel_strategy_calculator.py @@ -0,0 +1,119 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from enum import Enum +from dataclasses import dataclass + +from .parallel_algorithm import MegatronAlgorithm + + +class ParallelAlgorithmType(Enum): + Megatron = 0 + + +@dataclass +class RankMetrics: + computing: float = 0.0 + communication: float = 0.0 + free: float = 0.0 + + +class RankNode: + def __init__(self, + index: int, + rank_ids: list, + category: str, + metrics: RankMetrics): + self.index = index + self.rank_ids = rank_ids + self.category = category + self.metrics = metrics + self.children = [] + + def add_child(self, child_node): + if isinstance(child_node, RankNode): + self.children.append(child_node) + else: + raise TypeError("Child must be an instance of TreeNode") + + +class ParallelStrategyCalculator: + ROOT_LABEL = "ROOT" + TP_LABEL = "TP" + PP_LABEL = "PP" + DP_LABEL = "DP" + + parallel_algorithms = { + ParallelAlgorithmType.Megatron: MegatronAlgorithm + } + + def __init__(self, + algorithm_type: ParallelAlgorithmType = ParallelAlgorithmType.Megatron, + **kwargs): + + self.algorithm = self.parallel_algorithms.get(algorithm_type, MegatronAlgorithm)(**kwargs) + + # result of partition rank id to DP Index, PP Index, TP Index + self.ranks_ptd_map = [None] * self.algorithm.world_size + self.root_node = None + + def run(self): + self.algorithm.partition() + self._build_tree() + self._dfs(self.root_node) + return self.ranks_ptd_map + + def _build_tree(self): + if not self.algorithm.all_model_parallel_group_ranks: + return + + self.root_node = RankNode(-1, self.algorithm.all_model_parallel_group_ranks, + ParallelStrategyCalculator.ROOT_LABEL, RankMetrics()) + + # DP Level + for i, dp_group in enumerate(self.algorithm.all_model_parallel_group_ranks): + dp_node = RankNode(i, dp_group, ParallelStrategyCalculator.DP_LABEL, RankMetrics()) + + # PP Level + for pp_idx, j in enumerate(range(0, len(dp_group), self.algorithm.tensor_model_parallel_size)): + pp_group = dp_group[j:j + self.algorithm.tensor_model_parallel_size] + pp_node = RankNode(pp_idx, pp_group, ParallelStrategyCalculator.PP_LABEL, RankMetrics()) + + # TP Level + for k, tp_rank in enumerate(pp_group): + tp_node = RankNode(k, [tp_rank], + ParallelStrategyCalculator.TP_LABEL, RankMetrics()) + pp_node.add_child(tp_node) + + dp_node.add_child(pp_node) + self.root_node.add_child(dp_node) + + def _dfs(self, + rank_node: RankNode, + parent_node: RankNode = None, + grandparent_node: RankNode = None): + + if rank_node is None: + return + + if not rank_node.children: + if rank_node.rank_ids: + self.ranks_ptd_map[rank_node.rank_ids[0]] = ( + grandparent_node.index, # DP Index + parent_node.index, # PP Index + rank_node.index # TP Index + ) + + for child in rank_node.children: + self._dfs(child, rank_node, parent_node) diff --git a/profiler/cluster_analyse/common_func/constant.py b/profiler/cluster_analyse/common_func/constant.py index 2922d6a900..a5b93b0caa 100644 --- a/profiler/cluster_analyse/common_func/constant.py +++ b/profiler/cluster_analyse/common_func/constant.py @@ -106,3 +106,6 @@ class Constant(object): CONFIG = "config" EXPER_CONFIG = "experimental_config" EXPORT_TYPE = "_export_type" + + # metadata key + DISTRIBUTED_ARGS = "distributed_args" diff --git a/profiler/cluster_analyse/common_func/tables_config.py b/profiler/cluster_analyse/common_func/tables_config.py index f010014519..7122d6461f 100644 --- a/profiler/cluster_analyse/common_func/tables_config.py +++ b/profiler/cluster_analyse/common_func/tables_config.py @@ -59,7 +59,10 @@ class TablesConfig: ("stage", "NUMERIC, null"), ("bubble", "NUMERIC, null"), ("communication_not_overlapped_and_exclude_receive", "NUMERIC, null"), - ("preparing", "NUMERIC, null") + ("preparing", "NUMERIC, null"), + ("dp_index", "INTEGER, null"), + ("pp_index", "INTEGER, null"), + ("tp_index", "INTEGER, null") ], "HostInfoMap": [ ("hostUid", "INTEGER, null"), diff --git a/profiler/test/ut/cluster_analyse/cluster_utils/test_parallel_strategy_calculator.py b/profiler/test/ut/cluster_analyse/cluster_utils/test_parallel_strategy_calculator.py new file mode 100644 index 0000000000..2eb8b300ab --- /dev/null +++ b/profiler/test/ut/cluster_analyse/cluster_utils/test_parallel_strategy_calculator.py @@ -0,0 +1,46 @@ +import unittest + +from cluster_utils.parallel_strategy_calculator import ParallelStrategyCalculator + + +class TestParallelStrategyCalculator(unittest.TestCase): + def test_parallel_strategy_calculator_should_raise_runtime_error_when_dp4_ep3(self): + with self.assertRaises(RuntimeError): + calculator = ParallelStrategyCalculator( + world_size=16, + tensor_model_parallel_size=1, + pipeline_model_parallel_size=4, + data_parallel_size=4, + context_parallel_size=1, + expert_model_parallel_size=3) + + calculator.run() + + def test_parallel_strategy_calculator_should_raise_runtime_error_when_dp1_pp4_tp2_world_size16(self): + with self.assertRaises(RuntimeError): + calculator = ParallelStrategyCalculator( + world_size=16, + tensor_model_parallel_size=2, + pipeline_model_parallel_size=4, + data_parallel_size=1, + context_parallel_size=1, + expert_model_parallel_size=1) + + calculator.run() + + def test_parallel_strategy_calculator_dp2_pp4_tp2(self): + calculator = ParallelStrategyCalculator( + world_size=16, + tensor_model_parallel_size=2, + pipeline_model_parallel_size=4, + data_parallel_size=2, + context_parallel_size=1, + expert_model_parallel_size=1) + + # dp index, pp index, tp index + expected_res = [ + (0, 0, 0), (0, 0, 1), (1, 0, 0), (1, 0, 1), (0, 1, 0), (0, 1, 1), (1, 1, 0), (1, 1, 1), + (0, 2, 0), (0, 2, 1), (1, 2, 0), (1, 2, 1), (0, 3, 0), (0, 3, 1), (1, 3, 0), (1, 3, 1) + ] + res = calculator.run() + self.assertEqual(res, expected_res) -- Gitee From 3d9ae18ba5645028e1fef0846f4a3c6d2acda2c0 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 18:49:52 +0800 Subject: [PATCH 125/160] clean code --- .../api_accuracy_checker/tensor_transport_layer/server.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py index 690ffea3e8..521f8d37f6 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/server.py @@ -3,9 +3,9 @@ import struct import hashlib import time import io +from threading import Thread from OpenSSL import SSL -from threading import Thread from twisted.internet import ssl, reactor, protocol, endpoints from msprobe.pytorch.common.utils import logger -- Gitee From 579215f211a61dd5174e5113e0fa323ec30e6a88 Mon Sep 17 00:00:00 2001 From: jiandaobao Date: Thu, 8 Aug 2024 18:53:45 +0800 Subject: [PATCH 126/160] Adjust the ut of forward. --- .../msprobe/test/pytorch_ut/free_benchmark/test_main.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/test_main.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/test_main.py index 4498a2af70..3fe3da9a00 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/test_main.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/test_main.py @@ -61,6 +61,7 @@ class TestInterface(TestCase): def testForwardFix(self): # 对于前向接口，在forward钩子中开启FIX，返回结果给hook的输出 + # 为了与下一层的输入对齐、应该转换为扰动前输出的dtype，否则可能报错 config = Config(Const.FORWARD, HandlerType.FIX) checker = FreeBenchmarkCheck(config) # 执行算子前向 @@ -76,7 +77,7 @@ class TestInterface(TestCase): kwargs={}, output=out, ) - self.assertEqual(result.dtype, torch.float32) + self.assertEqual(result.dtype, torch.float16) def testBackwardCheck(self): # 对于反向接口，在pre forward时暂存input, 然后在backwrad后进行对比 -- Gitee From ae3f2b1008df0d9b01e719e410f0077ed86fbd37 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 19:11:24 +0800 Subject: [PATCH 127/160] clean code --- .../tensor_transport_layer/ssl_config.py | 39 +++++++------------ 1 file changed, 13 insertions(+), 26 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py index 2bc200bacf..8fafecac1e 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py @@ -1,28 +1,15 @@ cipher_list = ":".join([ - 'TLS_DHE_RSA_WITH_AES_128_GCM_SHA256', - 'TLS_DHE_RSA_WITH_AES_256_GCM_SHA384', - 'TLS_DHE_DSS_WITH_AES_128_GCM_SHA256', - 'TLS_DHE_DSS_WITH_AES_256_GCM_SHA384', - 'TLS_PSK_WITH_AES_256_GCM_SHA384', - 'TLS_DHE_PSK_WITH_AES_128_GCM_SHA256', - 'TLS_DHE_PSK_WITH_AES_256_GCM_SHA384', - 'TLS_DHE_PSK_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256', - 'TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256', - 'TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_ECDHE_PSK_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_ECDHE_PSK_WITH_AES_128_GCM_SHA256', - 'TLS_ECDHE_PSK_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_PSK_WITH_AES_128_CCM_SHA256', - 'TLS_DHE_RSA_WITH_AES_128_CCM', - 'TLS_DHE_RSA_WITH_AES_256_CCM' - 'TLS_DHE_RSA_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_PSK_WITH_AES_256_CCM', - 'TLS_DHE_PSK_WITH_AES_128_CCM', - 'TLS_DHE_PSK_WITH_AES_256_CCM', - 'TLS_ECDHE_ECDSA_WITH_AES_128_CCM', - 'TLS_ECDHE_ECDSA_WITH_AES_256_CCM', - 'TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256' + 'TLS_DHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_DHE_RSA_WITH_AES_256_GCM_SHA384', + 'TLS_DHE_DSS_WITH_AES_128_GCM_SHA256', 'TLS_DHE_DSS_WITH_AES_256_GCM_SHA384', + 'TLS_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_AES_128_GCM_SHA256', + 'TLS_DHE_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384', + 'TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384', + 'TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256', 'TLS_ECDHE_PSK_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_ECDHE_PSK_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_PSK_WITH_AES_256_GCM_SHA384', + 'TLS_ECDHE_PSK_WITH_AES_128_CCM_SHA256', 'TLS_DHE_RSA_WITH_AES_128_CCM', + 'TLS_DHE_RSA_WITH_AES_256_CCM', 'TLS_DHE_RSA_WITH_CHACHA20_POLY1305_SHA256', + 'TLS_PSK_WITH_AES_256_CCM', 'TLS_DHE_PSK_WITH_AES_128_CCM', + 'TLS_DHE_PSK_WITH_AES_256_CCM', 'TLS_ECDHE_ECDSA_WITH_AES_128_CCM', + 'TLS_ECDHE_ECDSA_WITH_AES_256_CCM', 'TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256' ]).encode() -- Gitee From 2273affd8cff4048602cf817ab2a99922a324587 Mon Sep 17 00:00:00 2001 From: jiandaobao Date: Thu, 8 Aug 2024 19:18:56 +0800 Subject: [PATCH 128/160] --amend --- .../pytorch/free_benchmark/compare/grad_saver.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py index 21f2b3b46c..1cf75524de 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py @@ -2,7 +2,7 @@ import torch from msprobe.core.common.exceptions import FreeBenchmarkException from msprobe.pytorch.free_benchmark import logger from msprobe.pytorch.free_benchmark.common.constant import CommonField -from msprobe.pytorch.free_benchmark.common.params import DataParams, HandlerParams +from msprobe.pytorch.free_benchmark.common.params import DataParams, HandlerParams, data_pre_deal from msprobe.pytorch.free_benchmark.perturbed_layers.layer_factory import LayerFactory from msprobe.pytorch.free_benchmark.result_handlers.handler_factory import ( FuzzHandlerFactory, @@ -161,11 +161,12 @@ class GradSaver: return grad_input def calculate_perturbed_grad_input(self, grad_output, need_grad_tensors, inner_args): - data_params = DataParams() - data_params.args = [need_grad_tensors, grad_output, inner_args] - data_params.kwargs = {} - data_params.valid_input_index = 0 - data_params.origin_func = self.get_grad_input_from_vjp + data_params = data_pre_deal( + self.handler_params.api_name, + self.get_grad_input_from_vjp, + [need_grad_tensors, grad_output, inner_args], + {} + ) layer = LayerFactory.create( self.handler_params.api_name, self.handler_params.fuzz_device, -- Gitee From 1889c3cf532148e7b0344406ae1111804fc57891 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 19:46:59 +0800 Subject: [PATCH 129/160] clean code --- .../tensor_transport_layer/ssl_config.py | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py index 8fafecac1e..8980723a35 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py @@ -1,15 +1,13 @@ cipher_list = ":".join([ - 'TLS_DHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_DHE_RSA_WITH_AES_256_GCM_SHA384', - 'TLS_DHE_DSS_WITH_AES_128_GCM_SHA256', 'TLS_DHE_DSS_WITH_AES_256_GCM_SHA384', - 'TLS_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_AES_128_GCM_SHA256', + 'TLS_DHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_DHE_RSA_WITH_AES_256_GCM_SHA384', 'TLS_DHE_DSS_WITH_AES_128_GCM_SHA256', + 'TLS_DHE_DSS_WITH_AES_256_GCM_SHA384', 'TLS_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_AES_128_GCM_SHA256', 'TLS_DHE_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_CHACHA20_POLY1305_SHA256', 'TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384', 'TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384', 'TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256', 'TLS_ECDHE_PSK_WITH_CHACHA20_POLY1305_SHA256', 'TLS_ECDHE_PSK_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_PSK_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_PSK_WITH_AES_128_CCM_SHA256', 'TLS_DHE_RSA_WITH_AES_128_CCM', - 'TLS_DHE_RSA_WITH_AES_256_CCM', 'TLS_DHE_RSA_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_PSK_WITH_AES_256_CCM', 'TLS_DHE_PSK_WITH_AES_128_CCM', - 'TLS_DHE_PSK_WITH_AES_256_CCM', 'TLS_ECDHE_ECDSA_WITH_AES_128_CCM', - 'TLS_ECDHE_ECDSA_WITH_AES_256_CCM', 'TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256' + 'TLS_ECDHE_PSK_WITH_AES_128_CCM_SHA256', 'TLS_DHE_RSA_WITH_AES_128_CCM', 'TLS_DHE_RSA_WITH_AES_256_CCM', + 'TLS_DHE_RSA_WITH_CHACHA20_POLY1305_SHA256', 'TLS_PSK_WITH_AES_256_CCM', 'TLS_DHE_PSK_WITH_AES_128_CCM', + 'TLS_DHE_PSK_WITH_AES_256_CCM', 'TLS_ECDHE_ECDSA_WITH_AES_128_CCM', 'TLS_ECDHE_ECDSA_WITH_AES_256_CCM', + 'TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256' ]).encode() -- Gitee From 534d47468f6bc2860bbb6ac2f060cb066e2733c2 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 19:57:34 +0800 Subject: [PATCH 130/160] =?UTF-8?q?=E5=8E=8B=E7=BC=A9=E4=BB=A3=E7=A0=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/acc_compare.py | 52 ++ .../msprobe/core/compare/check.py | 8 +- .../msprobe/core/compare/highlight.py | 4 +- .../msprobe/core/compare/utils.py | 51 ++ .../msprobe/mindspore/__init__.py | 2 - .../msprobe/mindspore/advisor/advisor.py | 124 ---- .../mindspore/advisor/advisor_const.py | 59 -- .../mindspore/advisor/advisor_result.py | 58 -- .../msprobe/mindspore/compare/compare_cli.py | 6 +- .../mindspore/compare/distributed_compare.py | 52 +- .../msprobe/mindspore/compare/ms_compare.py | 56 +- .../msprobe/pytorch/advisor/advisor.py | 124 ---- .../msprobe/pytorch/advisor/advisor_const.py | 59 -- .../msprobe/pytorch/advisor/advisor_result.py | 58 -- .../pytorch/compare/distributed_compare.py | 53 +- .../msprobe/pytorch/compare/mapping.yaml | 607 ++++++++++++++++++ .../msprobe/pytorch/compare/match.py | 36 ++ .../msprobe/pytorch/compare/pt_compare.py | 56 +- .../test/pytorch_ut/compare/test_match.py | 2 +- 19 files changed, 768 insertions(+), 699 deletions(-) delete mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py create mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml create mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/match.py diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index df5ff18b2e..e46b81d418 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -1,8 +1,13 @@ +import multiprocessing +import pandas as pd from msprobe.core.compare.check import check_op from msprobe.core.common.const import CompareConst from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ get_error_message from msprobe.core.common.exceptions import FileCheckException +from msprobe.core.compare.utils import read_op, merge_tensor,CompareException +from msprobe.core.compare.multiprocessing_compute import _handle_multi_process +from msprobe.core.common.log import logger class Comparator: @@ -10,6 +15,16 @@ class Comparator: def __init__(self): pass + def _do_multi_process(self,input_parma, result_df): + try: + compare_ops=getattr(self,"compare_ops") + result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + + @classmethod def match_op(cls,npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): @@ -56,3 +71,40 @@ class Comparator: result_list.append(err_msg) return result_list + def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): + op_data = json_data['data'][op_name] + op_parsed_list = read_op(op_data, op_name) + if op_name in stack_json_data: + op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) + else: + op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) + + merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) + return merge_list + + def make_result_table(self,result,md5_compare,summary_compare,stack_mode): + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] + + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + result_df = pd.DataFrame(result, columns=header) + return result_df \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py index 97ddc26cd0..66a96d3022 100644 --- a/debug/accuracy_tools/msprobe/core/compare/check.py +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -1,4 +1,4 @@ -from msprobe.core.compare.match import graph_mapping +from debug.accuracy_tools.msprobe.pytorch.compare.match import graph_mapping from msprobe.core.common.log import logger from msprobe.core.compare.utils import rename_api @@ -28,8 +28,10 @@ def check_type_shape_match(npu_struct, bench_struct): shape_match = npu_shape == bench_shape type_match = npu_type == bench_type if not type_match: - if ([npu_type, bench_type] in [["Float16", "Float32"], ["Float32", "Float16"]] )or ([npu_type, bench_type] in [["torch.float16", "torch.float32"], ["torch.float32", "torch.float16"], - ["torch.float16", "torch.bfloat16"], ["torch.bfloat16", "torch.float16"]]): + ms_type=[["Float16", "Float32"], ["Float32", "Float16"],["Float16", "BFloat16"],["BFloat16", "Float16"]] + torch_type=[["torch.float16", "torch.float32"], ["torch.float32", "torch.float16"], + ["torch.float16", "torch.bfloat16"], ["torch.bfloat16", "torch.float16"]] + if ([npu_type, bench_type] in ms_type)or ([npu_type, bench_type] in torch_type): type_match = True else: type_match = False diff --git a/debug/accuracy_tools/msprobe/core/compare/highlight.py b/debug/accuracy_tools/msprobe/core/compare/highlight.py index 802376347b..ef35fd0616 100644 --- a/debug/accuracy_tools/msprobe/core/compare/highlight.py +++ b/debug/accuracy_tools/msprobe/core/compare/highlight.py @@ -4,10 +4,8 @@ from collections import namedtuple import numpy as np import openpyxl from openpyxl.styles import PatternFill -from msprobe.core.common.utils import get_header_index -from msprobe.core.common.const import CompareConst +from msprobe.core.common.utils import get_header_index, CompareException from msprobe.core.common.log import logger -from msprobe.core.common.utils import CompareException from msprobe.core.common.file_check import change_mode from msprobe.core.common.const import CompareConst, FileCheckConst diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index 55c1abd41b..909ab1e95d 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -1,7 +1,58 @@ import os +import re import numpy as np from msprobe.core.common.const import Const, CompareConst +from msprobe.core.common.utils import CompareException, check_file_or_directory_path, check_regex_prefix_format_valid, logger + + +def extract_json(dirname, stack_json=False): + json_path = '' + for fname in os.listdir(dirname): + if fname=="construct.json": continue + full_path = os.path.join(dirname, fname) + if full_path.endswith('.json'): + json_path = full_path + if not stack_json and 'stack' not in json_path: + break + if stack_json and 'stack' in json_path: + break + + # Provide robustness on invalid directory inputs + if not json_path: + logger.error(f'No file is found in dump dir {dirname}. ') + raise CompareException(CompareException.NO_DUMP_FILE_ERROR) + return json_path + + +def check_and_return_dir_contents(dump_dir, prefix): + """ + check the given dump dir and validate files in dump dir by using the given prefix patterns to build a + pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ + + Args: + dump_dir (str): dump dir + prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only + + Returns: + content [list]: dir contents + Raises: + CompareException: invalid path + ValueError: prefix not match the patterns + + """ + check_regex_prefix_format_valid(prefix) + check_file_or_directory_path(dump_dir, True) + contents = os.listdir(dump_dir) + pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') + for name in contents: + if not pattern.match(name): + logger.error( + f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " + f"output. Please check and delete irrelevant files in {dump_dir} and try again." + ) + raise CompareException(CompareException.INVALID_PATH_ERROR) + return contents def rename_api(npu_name, process): diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index dfe872c526..3bf42d1e39 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1,3 +1 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger -from .compare.distributed_compare import compare_distributed -from .compare.ms_compare import ms_compare \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py deleted file mode 100644 index ec2773e6de..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py +++ /dev/null @@ -1,124 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - -import os - -from msprobe.mindspore.advisor.advisor_result import AdvisorResult -from msprobe.mindspore.advisor.advisor_const import AdvisorConst -from msprobe.mindspore.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.file_check import FileChecker -from msprobe.core.common.const import Const, CompareConst, FileCheckConst - -class Advisor: - """ - Class for generate advisor - """ - - def __init__(self, input_data, out_path=""): - self.input_data = input_data - self.out_path = os.path.realpath(out_path) - self.file_type = None - - @staticmethod - def deterministic_advisor(message, node_name): - for api_name in AdvisorConst.NEED_DETERMINISTIC_API: - if api_name in node_name: - return AdvisorConst.DETERMINISTIC_SUGGEST - return message - - @staticmethod - def batch_norm_advisor(message, node_name): - if AdvisorConst.FUNC_BATCH_NORM in node_name and AdvisorConst.FORWARD_INPUT_1 in node_name: - message = AdvisorConst.BATCH_NORM_SUGGEST - return message - - def analyze_unmatched(self, analyze_data): - if self.file_type == Const.ALL: - accuracy_unmatched = analyze_data[ - analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_UNMATCH] - else: - accuracy_unmatched = analyze_data[(analyze_data[CompareConst.NPU_SHAPE] == CompareConst.NAN) | - (analyze_data[CompareConst.BENCH_SHAPE] == CompareConst.NAN)] - num_unmatch = len(accuracy_unmatched) - if num_unmatch != 0: - for i in range(len(accuracy_unmatched)): - item = accuracy_unmatched.iloc[i] - logger.warning("The tensor name matches but the shape or dtype does not match: {}" - .format(item[CompareConst.NPU_NAME])) - - def gen_advisor_result(self, pd_data): - first_failing_data = pd_data.iloc[0] - node_name = first_failing_data[CompareConst.NPU_NAME] - index = first_failing_data['index'] - message = self.gen_advisor_message(node_name) - logger.warning("Find %s accuracy not reached, the line is %s" % (node_name, index)) - result = AdvisorResult(node_name, index, message) - return result - - def gen_advisor_message(self, node_name): - if AdvisorConst.FORWARD in node_name: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.FORWARD_INPUT_SUGGEST - else: - message = AdvisorConst.FORWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - else: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.BACKWARD_INPUT_SUGGEST - else: - message = AdvisorConst.BACKWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - message = self.batch_norm_advisor(message, node_name) - return message - - def analysis(self): - self._check_path_vaild() - analyze_data = self._parse_input_data() - logger.info("Start analyzing the comparison result: %s" % self.file_type) - self.analyze_unmatched(analyze_data) - if self.file_type == Const.ALL: - failing_data = analyze_data[analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_NO] - elif self.file_type == Const.MD5: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.DIFF] - elif self.file_type == Const.SUMMARY: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.WARNING] - if failing_data.empty: - logger.info("All data from api input/output accuracy reached") - result = AdvisorResult(AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERR_SUGGEST) - else: - result = self.gen_advisor_result(failing_data) - message_list = result.print_advisor_log() - result.gen_summary_file(self.out_path, message_list) - - def _parse_input_data(self): - data_columns = self.input_data.columns.values - if {CompareConst.ACCURACY, CompareConst.NPU_NAME}.issubset(data_columns): - self.file_type = Const.ALL - elif {CompareConst.RESULT, CompareConst.NPU_MD5}.issubset(data_columns): - self.file_type = Const.MD5 - elif {CompareConst.MAX_DIFF, CompareConst.RESULT}.issubset(data_columns): - self.file_type = Const.SUMMARY - else: - logger.error('Compare result does not meet the required conditions.') - raise CompareException(CompareException.INVALID_DATA_ERROR) - df = self.input_data.reset_index() - return df - - def _check_path_vaild(self): - out_path_checker = FileChecker(self.out_path, FileCheckConst.DIR, FileCheckConst.WRITE_ABLE) - out_path_checker.common_check() diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py deleted file mode 100644 index 737c675911..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py +++ /dev/null @@ -1,59 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - - -class AdvisorConst: - """ - Class for advisor const - """ - - # text symbol - NEW_LINE = "\n" - COLON = ": " - - # advisor summary key - SUSPECT_NODES = "Suspect Nodes" - LINE = "Line" - ADVISOR_SUGGEST = "Expert Advice" - - NO_ERROR_API = "NA" - - # advisor message - NO_ERR_SUGGEST = "All data in comparison result meets the accuracy requirements." - FORWARD_INPUT_SUGGEST = "1. Analyze the model to view the input source.\n" \ - "2. Check whether an inplace API causes the output result to overwrite the input result. That is, the fault is actually caused by a computation error.\n" \ - "3. The fault may be caused by memory corruption and further analysis is required." - FORWARD_OUTPUT_SUGGEST = "This is a forward API computation error. Check the computation implementation." - BACKWARD_INPUT_SUGGEST = "Check whether the forward computation result is affected." - BACKWARD_OUTPUT_SUGGEST = "This is a backward API computation error. Check the computation implementation." - BATCH_NORM_SUGGEST = "Torch API batch_norm input not fixed, the following suggestions may fix it:\n" \ - "1. If use torch.nn.functional.batch_norm, you can set parameter training=False.\n" \ - "2. If use torch.nn.BatchNormXXX, you can set parameter affine=False.\n" \ - "3. Use seed_all(mode=True) to enable deterministic computing." - DETERMINISTIC_SUGGEST = "This torch api may be uncertainty in the calculation, " \ - "can seed_all(mode=True) to enable deterministic computing." - - FUNC_BATCH_NORM = "Functional_batch_norm" - FORWARD_INPUT_1 = "forward_input.1" - NEED_DETERMINISTIC_API = ["conv2d", "conv3d", "matmul", "nll_loss", "layer_norm", "lstm"] - BATCH_NORM = "batch_norm" - - # name keyword - INPUT = "input" - OUTPUT = "output" - FORWARD = "forward" - BACKWARD = "backward" diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py deleted file mode 100644 index 5d59068fc4..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -import os -import time - -from msprobe.mindspore.advisor.advisor_const import AdvisorConst -from msprobe.mindspore.common.log import logger -from msprobe.core.common.const import Const, FileCheckConst -from msprobe.core.common.file_check import change_mode - - -class AdvisorResult: - """ - Class for generate advisor result - """ - - def __init__(self, node, line, message): - self.suspect_node = node - self.line = line - self.advisor_message = message - - @staticmethod - def gen_summary_file(out_path, message_list): - file_name = 'advisor_{}.txt'.format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))) - result_file = os.path.join(out_path, file_name) - try: - with os.fdopen(os.open(result_file, Const.WRITE_FLAGS, Const.WRITE_MODES), 'w+') as output_file: - output_file.truncate(0) - message_list = [message + AdvisorConst.NEW_LINE for message in message_list] - output_file.writelines(message_list) - change_mode(result_file, FileCheckConst.DATA_FILE_AUTHORITY) - except IOError as io_error: - logger.error("Failed to save %s, the reason is %s." % (result_file, io_error)) - else: - logger.info("The advisor summary is saved in: %s" % result_file) - - def print_advisor_log(self): - logger.info("The summary of the expert advice is as follows: ") - message_list = [AdvisorConst.LINE + AdvisorConst.COLON + str(self.line), - AdvisorConst.SUSPECT_NODES + AdvisorConst.COLON + self.suspect_node, - AdvisorConst.ADVISOR_SUGGEST + AdvisorConst.COLON + self.advisor_message] - for message in message_list: - logger.info(message) - return message_list diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py index 23582592f7..4a81496573 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py @@ -4,7 +4,7 @@ from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import ms_compare - +from msprobe.mindspore.compare.distributed_compare import compare_distributed def compare_cli_ms(args): with FileOpen(args.input_path, "r") as file: @@ -16,8 +16,8 @@ def compare_cli_ms(args): ms_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: - logger.error('Mindspore Unsupport function compare_distributed.') - raise Exception() + kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} + compare_distributed(npu_path, bench_path, args.output_path, **kwargs) else: logger.error("The npu_path and bench_path need to be of the same type.") raise CompareException(CompareException.INVALID_COMPARE_MODE) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 1e9586fbab..6f84a69e93 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -15,64 +15,16 @@ # limitations under the License. """ import os -import sys -import re from msprobe.core.common.utils import CompareException, check_compare_param, \ - check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid + check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import create_directory from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import MSComparator +from msprobe.core.compare.utils import check_and_return_dir_contents, extract_json def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): - def check_and_return_dir_contents(dump_dir, prefix): - """ - check the given dump dir and validate files in dump dir by using the given prefix patterns to build a - pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ - - Args: - dump_dir (str): dump dir - prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only - - Returns: - content [list]: dir contents - Raises: - CompareException: invalid path - ValueError: prefix not match the patterns - - """ - check_regex_prefix_format_valid(prefix) - check_file_or_directory_path(dump_dir, True) - contents = os.listdir(dump_dir) - pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') - for name in contents: - if not pattern.match(name): - logger.error( - f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " - f"output. Please check and delete irrelevant files in {dump_dir} and try again." - ) - raise CompareException(CompareException.INVALID_PATH_ERROR) - return contents - - def extract_json(dirname, stack_json=False): - json_path = '' - for fname in os.listdir(dirname): - if fname=="construct.json": continue - full_path = os.path.join(dirname, fname) - if full_path.endswith('.json'): - json_path = full_path - if not stack_json and 'stack' not in json_path: - break - if stack_json and 'stack' in json_path: - break - - # Provide robustness on invalid directory inputs - if not json_path: - logger.error(f'No file is found in dump dir {dirname}. ') - raise CompareException(CompareException.NO_DUMP_FILE_ERROR) - return json_path - if kwargs.get('suffix'): logger.error("Argument 'suffix' is not supported for compare_distributed.") raise CompareException(CompareException.INVALID_PARAM_ERROR) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index b42881ed44..cba440fccb 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -1,18 +1,15 @@ import json -import multiprocessing import os.path -import sys import numpy as np -import pandas as pd from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory -from msprobe.core.common.const import CompareConst, FileCheckConst +from msprobe.core.common.const import FileCheckConst -from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op -from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.utils import get_un_match_accuracy, get_accuracy +from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger @@ -59,17 +56,6 @@ class MSComparator (Comparator): ) return _save_cmp_result(idx, cr, result_df, lock) - - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): - op_data = json_data['data'][op_name] - op_parsed_list = read_op(op_data, op_name) - if op_name in stack_json_data: - op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) - else: - op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) - - merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) - return merge_list def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles @@ -135,32 +121,7 @@ class MSComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df - def make_result_table(self,result,md5_compare,summary_compare,stack_mode): - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - result_df = pd.DataFrame(result, columns=header) - return result_df + def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) @@ -217,15 +178,6 @@ class MSComparator (Comparator): if auto_analyze: advisor = Advisor(result_df, output_path) advisor.analysis() - - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e - def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: diff --git a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py b/debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py deleted file mode 100644 index b178664d9e..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py +++ /dev/null @@ -1,124 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - -import os - -from msprobe.pytorch.advisor.advisor_result import AdvisorResult -from msprobe.pytorch.advisor.advisor_const import AdvisorConst -from msprobe.pytorch.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.file_check import FileChecker -from msprobe.core.common.const import Const, CompareConst, FileCheckConst - -class Advisor: - """ - Class for generate advisor - """ - - def __init__(self, input_data, out_path=""): - self.input_data = input_data - self.out_path = os.path.realpath(out_path) - self.file_type = None - - @staticmethod - def deterministic_advisor(message, node_name): - for api_name in AdvisorConst.NEED_DETERMINISTIC_API: - if api_name in node_name: - return AdvisorConst.DETERMINISTIC_SUGGEST - return message - - @staticmethod - def batch_norm_advisor(message, node_name): - if AdvisorConst.FUNC_BATCH_NORM in node_name and AdvisorConst.FORWARD_INPUT_1 in node_name: - message = AdvisorConst.BATCH_NORM_SUGGEST - return message - - def analyze_unmatched(self, analyze_data): - if self.file_type == Const.ALL: - accuracy_unmatched = analyze_data[ - analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_UNMATCH] - else: - accuracy_unmatched = analyze_data[(analyze_data[CompareConst.NPU_SHAPE] == CompareConst.NAN) | - (analyze_data[CompareConst.BENCH_SHAPE] == CompareConst.NAN)] - num_unmatch = len(accuracy_unmatched) - if num_unmatch != 0: - for i in range(len(accuracy_unmatched)): - item = accuracy_unmatched.iloc[i] - logger.warning("The tensor name matches but the shape or dtype does not match: {}" - .format(item[CompareConst.NPU_NAME])) - - def gen_advisor_result(self, pd_data): - first_failing_data = pd_data.iloc[0] - node_name = first_failing_data[CompareConst.NPU_NAME] - index = first_failing_data['index'] - message = self.gen_advisor_message(node_name) - logger.warning("Find %s accuracy not reached, the line is %s" % (node_name, index)) - result = AdvisorResult(node_name, index, message) - return result - - def gen_advisor_message(self, node_name): - if AdvisorConst.FORWARD in node_name: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.FORWARD_INPUT_SUGGEST - else: - message = AdvisorConst.FORWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - else: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.BACKWARD_INPUT_SUGGEST - else: - message = AdvisorConst.BACKWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - message = self.batch_norm_advisor(message, node_name) - return message - - def analysis(self): - self._check_path_vaild() - analyze_data = self._parse_input_data() - logger.info("Start analyzing the comparison result: %s" % self.file_type) - self.analyze_unmatched(analyze_data) - if self.file_type == Const.ALL: - failing_data = analyze_data[analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_NO] - elif self.file_type == Const.MD5: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.DIFF] - elif self.file_type == Const.SUMMARY: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.WARNING] - if failing_data.empty: - logger.info("All data from api input/output accuracy reached") - result = AdvisorResult(AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERR_SUGGEST) - else: - result = self.gen_advisor_result(failing_data) - message_list = result.print_advisor_log() - result.gen_summary_file(self.out_path, message_list) - - def _parse_input_data(self): - data_columns = self.input_data.columns.values - if {CompareConst.ACCURACY, CompareConst.NPU_NAME}.issubset(data_columns): - self.file_type = Const.ALL - elif {CompareConst.RESULT, CompareConst.NPU_MD5}.issubset(data_columns): - self.file_type = Const.MD5 - elif {CompareConst.MAX_DIFF, CompareConst.RESULT}.issubset(data_columns): - self.file_type = Const.SUMMARY - else: - logger.error('Compare result does not meet the required conditions.') - raise CompareException(CompareException.INVALID_DATA_ERROR) - df = self.input_data.reset_index() - return df - - def _check_path_vaild(self): - out_path_checker = FileChecker(self.out_path, FileCheckConst.DIR, FileCheckConst.WRITE_ABLE) - out_path_checker.common_check() diff --git a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py b/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py deleted file mode 100644 index 737c675911..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py +++ /dev/null @@ -1,59 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - - -class AdvisorConst: - """ - Class for advisor const - """ - - # text symbol - NEW_LINE = "\n" - COLON = ": " - - # advisor summary key - SUSPECT_NODES = "Suspect Nodes" - LINE = "Line" - ADVISOR_SUGGEST = "Expert Advice" - - NO_ERROR_API = "NA" - - # advisor message - NO_ERR_SUGGEST = "All data in comparison result meets the accuracy requirements." - FORWARD_INPUT_SUGGEST = "1. Analyze the model to view the input source.\n" \ - "2. Check whether an inplace API causes the output result to overwrite the input result. That is, the fault is actually caused by a computation error.\n" \ - "3. The fault may be caused by memory corruption and further analysis is required." - FORWARD_OUTPUT_SUGGEST = "This is a forward API computation error. Check the computation implementation." - BACKWARD_INPUT_SUGGEST = "Check whether the forward computation result is affected." - BACKWARD_OUTPUT_SUGGEST = "This is a backward API computation error. Check the computation implementation." - BATCH_NORM_SUGGEST = "Torch API batch_norm input not fixed, the following suggestions may fix it:\n" \ - "1. If use torch.nn.functional.batch_norm, you can set parameter training=False.\n" \ - "2. If use torch.nn.BatchNormXXX, you can set parameter affine=False.\n" \ - "3. Use seed_all(mode=True) to enable deterministic computing." - DETERMINISTIC_SUGGEST = "This torch api may be uncertainty in the calculation, " \ - "can seed_all(mode=True) to enable deterministic computing." - - FUNC_BATCH_NORM = "Functional_batch_norm" - FORWARD_INPUT_1 = "forward_input.1" - NEED_DETERMINISTIC_API = ["conv2d", "conv3d", "matmul", "nll_loss", "layer_norm", "lstm"] - BATCH_NORM = "batch_norm" - - # name keyword - INPUT = "input" - OUTPUT = "output" - FORWARD = "forward" - BACKWARD = "backward" diff --git a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py deleted file mode 100644 index 456f542e1f..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -import os -import time - -from msprobe.pytorch.advisor.advisor_const import AdvisorConst -from msprobe.pytorch.common.log import logger -from msprobe.core.common.const import Const, FileCheckConst -from msprobe.core.common.file_check import change_mode - - -class AdvisorResult: - """ - Class for generate advisor result - """ - - def __init__(self, node, line, message): - self.suspect_node = node - self.line = line - self.advisor_message = message - - @staticmethod - def gen_summary_file(out_path, message_list): - file_name = 'advisor_{}.txt'.format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))) - result_file = os.path.join(out_path, file_name) - try: - with os.fdopen(os.open(result_file, Const.WRITE_FLAGS, Const.WRITE_MODES), 'w+') as output_file: - output_file.truncate(0) - message_list = [message + AdvisorConst.NEW_LINE for message in message_list] - output_file.writelines(message_list) - change_mode(result_file, FileCheckConst.DATA_FILE_AUTHORITY) - except IOError as io_error: - logger.error("Failed to save %s, the reason is %s." % (result_file, io_error)) - else: - logger.info("The advisor summary is saved in: %s" % result_file) - - def print_advisor_log(self): - logger.info("The summary of the expert advice is as follows: ") - message_list = [AdvisorConst.LINE + AdvisorConst.COLON + str(self.line), - AdvisorConst.SUSPECT_NODES + AdvisorConst.COLON + self.suspect_node, - AdvisorConst.ADVISOR_SUGGEST + AdvisorConst.COLON + self.advisor_message] - for message in message_list: - logger.info(message) - return message_list diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index 05c274b154..923c0044d7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -15,65 +15,16 @@ # limitations under the License. """ import os -import sys -import re from msprobe.core.common.utils import CompareException, check_compare_param, \ - check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid + check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import create_directory from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.pytorch.compare.pt_compare import PTComparator +from msprobe.core.compare.utils import check_and_return_dir_contents, extract_json def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): - def check_and_return_dir_contents(dump_dir, prefix): - """ - check the given dump dir and validate files in dump dir by using the given prefix patterns to build a - pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ - - Args: - dump_dir (str): dump dir - prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only - - Returns: - content [list]: dir contents - Raises: - CompareException: invalid path - ValueError: prefix not match the patterns - - """ - check_regex_prefix_format_valid(prefix) - check_file_or_directory_path(dump_dir, True) - contents = os.listdir(dump_dir) - pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') - for name in contents: - if not pattern.match(name): - logger.error( - f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " - f"output. Please check and delete irrelevant files in {dump_dir} and try again." - ) - raise CompareException(CompareException.INVALID_PATH_ERROR) - return contents - - - def extract_json(dirname, stack_json=False): - json_path = '' - for fname in os.listdir(dirname): - if fname=="construct.json": continue - full_path = os.path.join(dirname, fname) - if full_path.endswith('.json'): - json_path = full_path - if not stack_json and 'stack' not in json_path: - break - if stack_json and 'stack' in json_path: - break - - # Provide robustness on invalid directory inputs - if not json_path: - logger.error(f'No file is found in dump dir {dirname}. ') - raise CompareException(CompareException.NO_DUMP_FILE_ERROR) - return json_path - if kwargs.get('suffix'): logger.error("Argument 'suffix' is not supported for compare_distributed.") raise CompareException(CompareException.INVALID_PARAM_ERROR) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml b/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml new file mode 100644 index 0000000000..eaffbe7a18 --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml @@ -0,0 +1,607 @@ +__and__: __and__ +__iand__: __iand__ +__ilshift__: __ilshift__ +__ior__: __ior__ +__irshift__: __irshift__ +__ixor__: __ixor__ +__lshift__: __lshift__ +__or__: __or__ +__rshift__: __rshift__ +__xor__: __xor__ +_adaptive_avg_pool2d: adaptive_avg_pool2d +_adaptive_avg_pool3d: adaptive_avg_pool3d +_cdist_forward: cdist +_cudnn_rnn: rnn +_embedding_bag: embedding_bag +_fft_c2c: fft +_fft_c2r: rfft +_foreach_add_: _foreach_add_ +_foreach_addcdiv: _foreach_addcdiv +_foreach_copy_: _foreach_copy_ +_foreach_lerp_: _foreach_lerp_ +_foreach_maximum: _foreach_maximum +_foreach_mul: _foreach_mul +_foreach_neg_: _foreach_neg_ +_foreach_pow: _foreach_pow +_foreach_reciprocal_: _foreach_reciprocal_ +_foreach_sign: _foreach_sign +_foreach_sqrt: _foreach_sqrt +_foreach_sqrt_: _foreach_sqrt_ +_foreach_sub: _foreach_sub +_fused_adam: FusedAdam +_linalg_det: det +_linalg_eigh: eigh +_linalg_slogdet: slogdet +_linalg_svd: svd +_list_to_tensor: as_tensor +_log_softmax: log_softmax +_native_batch_norm_legit: batch_norm +_nested_tensor_from_tensor_list: _nested_tensor_from_tensor_list +_pdist_forward: pdist +_pin_memory: pin_memory +_reshape_alias: reshape +_resize_output_: resize_ +_softmax: softmax +_to_copy: to +abs: abs +abs_: abs_ +absolute: abs +absolute_: abs_ +acos: acos +acos_: acos_ +acosh: acosh +acosh_: acosh_ +adaptive_max_pool2d: adaptive_max_pool2d +adaptive_max_pool3d: adaptive_max_pool3d +add: add +add_: add_ +addbmm: addbmm +addbmm_: addbmm_ +addcdiv: addcdiv +addcdiv_: addcdiv_ +addcmul: addcmul +addcmul_: addcmul_ +addmm: addmm +addmm_: addmm_ +addmv: addmv +addmv_: addmv_ +addr: addr +affine_grid_generator: affine_grid +alias: alias +all: all +alpha_dropout: AlphaDropout +amax: amax +amin: amin +aminmax: aminmax +angle: angle +any: any +arange: arange +arccos: acos +arccos_: arccos_ +arccosh: arccosh +arccosh_: arccosh_ +arcsin: asin +arcsin_: arcsin_ +arcsinh: asinh +arcsinh_: arcsinh_ +arctan: atan +arctan2: atan2 +arctan2_: arctan2_ +arctan_: arctan_ +arctanh: arctanh +arctanh_: arctanh_ +argmax: argmax +argmin: argmin +argsort: argsort +as_strided: as_strided +asin: asin +asin_: asin_ +asinh: asinh +asinh_: asinh_ +atan: atan +atan2: atan2 +atan2_: atan2_ +atan_: atan_ +atanh: atanh +atanh_: atanh_ +avg_pool2d: avg_pool2d +avg_pool3d: avg_pool3d +baddbmm: baddbmm +baddbmm_: baddbmm_ +bernoulli: bernoulli +bernoulli_: bernoulli_ +binary_cross_entropy: BCELoss +binary_cross_entropy_with_logits: binary_cross_entropy_with_logits +bitwise_and: bitwise_and +bitwise_and_: bitwise_and_ +bitwise_left_shift: __lshift__ +bitwise_left_shift_: bitwise_left_shift_ +bitwise_not: bitwise_not +bitwise_not_: bitwise_not_ +bitwise_or: bitwise_or +bitwise_or_: bitwise_or_ +bitwise_right_shift: __rshift__ +bitwise_right_shift_: bitwise_right_shift_ +bitwise_xor: bitwise_xor +bitwise_xor_: bitwise_xor_ +bmm: bmm +broadcast_tensors: broadcast_tensors +bucketize: bucketize +cat: cat +cauchy: Cauchy +cauchy_: cauchy_ +ceil: ceil +ceil_: ceil_ +celu: celu +celu_: celu_ +cholesky: cholesky +cholesky_inverse: cholesky_inverse +cholesky_solve: cholesky_solve +clamp: clamp +clamp_: clamp_ +clamp_max: clamp_max +clamp_max_: clamp_max_ +clamp_min: clamp_min +clamp_min_: clamp_min_ +clip: clip +clip_: clip_ +clone: clone +col2im: col2im +complex: complex +conj_physical: conj +conj_physical_: conj_ +constant_pad_nd: pad +convolution: Conv2d +copy: copy_ +copy_: copy_ +copysign: copysign +copysign_: copysign_ +cos: cos +cos_: cos_ +cosh: cosh +cosh_: cosh_ +count_nonzero: count_nonzero +cudnn_batch_norm: BatchNorm2d +cummax: cummax +cummin: cummin +cumprod: cumprod +cumprod_: cumprod_ +cumsum: cumsum +cumsum_: cumsum_ +deg2rad: deg2rad +deg2rad_: deg2rad_ +detach: detach +diag: diag +diag_embed: diag_embed +diagonal: diagonal +diagonal_copy: diagonal +diagonal_scatter: diagonal +digamma: digamma +digamma_: digamma_ +dist: dist +div: div +div_: div_ +divide: div +divide_: divide_ +dot: dot +dropout: dropout +elu: ELU +elu_: elu_ +embedding: embedding +empty_like: empty_like +empty_strided: empty_strided +eq: eq +eq_: eq_ +erf: erf +erf_: erf_ +erfc: erfc +erfc_: erfc_ +erfinv: erfinv +erfinv_: erfinv_ +exp: exp +exp2: exp2 +exp2_: exp2_ +exp_: exp_ +expand: expand +expm1: expm1 +expm1_: expm1_ +exponential: Exponential +exponential_: exponential_ +eye: eye +fft_fft: fft +fft_fft2: fft2 +fft_fftn: fftn +fft_fftshift: fftshift +fft_hfft: hfft +fft_hfft2: hfft2 +fft_hfftn: hfftn +fft_ifft: ifft +fft_ifft2: ifft2 +fft_ifftn: ifftn +fft_ifftshift: ifftshift +fft_ihfft: ihfft +fft_ihfft2: ihfft2 +fft_ihfftn: ifftn +fft_irfft: irfft +fft_irfft2: irfft2 +fft_irfftn: irfftn +fft_rfft: rfft +fft_rfft2: rfft2 +fft_rfftn: rfftn +fill: fill_ +fill_: fill_ +fix: fix +fix_: fix_ +flip: flip +float_power_: float_power_ +floor: floor +floor_: floor_ +floor_divide: floor_divide +floor_divide_: floor_divide_ +fmax: fmax +fmin: fmin +fmod: fmod +fmod_: fmod_ +frac: frac +frac_: frac_ +full: full +full_like: full_like +gather: gather +gcd: gcd +gcd_: gcd_ +ge: ge +ge_: ge_ +gelu: GELU +gelu_: gelu_ +geometric: Geometric +geometric_: geometric_ +glu: glu +greater: gt +greater_: ge_ +greater_equal: ge +greater_equal_: ge_ +grid_sampler_2d: grid_sample +grid_sampler_3d: grid_sample +gru: GRU +gt: gt +gt_: gt_ +hardshrink: Hardshrink +hardsigmoid: hardsigmoid +hardsigmoid_: hardsigmoid_ +hardswish: hardswish +hardswish_: hardswish_ +hardtanh: hardtanh +hardtanh_: hardtanh_ +heaviside: heaviside +heaviside_: heaviside_ +hinge_embedding_loss: HingeEmbeddingLoss +huber_loss: huber_loss +hypot: hypot +hypot_: hypot_ +i0: i0 +i0_: i0_ +igamma: igamma +igamma_: igamma_ +igammac: igammac +igammac_: igammac_ +index: __getitem__ +index_add: index_add +index_add_: index_add_ +index_copy: index_copy_ +index_copy_: index_copy_ +index_fill: index_fill_ +index_fill_: index_fill_ +index_put: index_put_ +index_put_: index_put_ +index_reduce: index_select +index_select: index_select +is_pinned: is_pinned +is_same_size: is_same_size +isinf: isinf +isnan: isnan +isneginf: isneginf +isposinf: isposinf +istft: istft +item: item +lcm: lcm +lcm_: lcm_ +le: le +le_: le_ +leaky_relu: LeakyReLU +leaky_relu_: leaky_relu_ +lerp: lerp +lerp_: lerp_ +less: less +less_: less_ +less_equal: le +less_equal_: less_equal_ +lgamma: lgamma +lgamma_: lgamma_ +linalg_cholesky_ex: cholesky +linalg_cross: cross +linalg_householder_product: householder_product +linalg_inv_ex: inv +linalg_ldl_factor_ex: ldl +linalg_ldl_solve: ldl_solve +linalg_lu: lu +linalg_lu_factor_ex: lu_factor +linalg_lu_solve: lu_solve +linalg_matrix_exp: matrix_exp +linalg_qr: qr +linalg_solve_triangular: solve +linalg_vector_norm: norm +linspace: linspace +log: log +log10: log10 +log10_: log10_ +log1p: log1p +log1p_: log1p_ +log2: log2 +log2_: log2_ +log_: log_ +log_normal: LogNormal +log_sigmoid_forward: log_sigmoid +logaddexp: logaddexp +logaddexp2: logaddexp2 +_native_batch_norm_legit_functional: batch_norm +logcumsumexp: logcumsumexp +logical_and: logical_and +logical_and_: logical_and_ +logical_not: logical_not +logical_not_: logical_not_ +logical_or: logical_or +logical_or_: logical_or_ +logical_xor: logical_xor +logical_xor_: logical_xor_ +logit: logit +logit_: logit_ +logspace: logspace +logsumexp: logsumexp +lstm: LSTM +lt: lt +lt_: lt_ +lu_unpack: lu_unpack +margin_ranking_loss: margin_ranking_loss +masked_fill: masked_fill +masked_fill_: masked_fill_ +matmul: matmul +max: max +max_pool2d_with_indices: MaxPool2d +max_pool3d_with_indices: MaxPool3d +max_unpool2d: MaxUnpool2d +max_unpool3d: max_unpool3d +maximum: maximum +mean: mean +median: median +meshgrid: meshgrid +min: min +minimum: minimum +mish: Mish +mish_: mish_ +mm: mm +mode: mode +mse_loss: mse_loss +mul: mul +mul_: mul_ +multi_margin_loss: MultiMarginLoss +multilabel_margin_loss_forward: multilabel_margin_loss +multinomial: multinomial +multiply: multiply +multiply_: mul_ +mv: mv +mvlgamma: mvlgamma +mvlgamma_: mvlgamma_ +name: name +nan_to_num: nan_to_num +nan_to_num_: nan_to_num_ +nanmedian: nanmedian +nansum: nansum +narrow_copy: narrow +native_batch_norm: BatchNorm2d +native_dropout: dropout +native_group_norm: group_norm +native_layer_norm: LayerNorm +ne: ne +ne_: ne_ +neg: neg +neg_: neg_ +negative: neg +negative_: neg_ +new_empty: new_empty +new_empty_strided: new_empty_strided +new_full: new_full +new_ones: new_ones +new_zeros: new_zeros +nextafter: nextafter +nextafter_: nextafter_ +nll_loss: nll_loss +nll_loss2d_forward: NLLLoss2d +nll_loss_forward: NLLLoss +nonzero_static: nonzero +norm: norm +normal: normal +normal_: normal_ +not_equal: ne +not_equal_: ne_ +ones: ones +ones_like: ones_like +ormqr: ormqr +pairwise_distance: pairwise_distance +pdist: pdist +permute: permute +pin_memory: pin_memory +pixel_shuffle: PixelShuffle +polar: polar +polygamma: polygamma +positive: positive +pow: pow +pow_: pow_ +prelu: prelu +prod: prod +quantized_gru: GRU +quantized_lstm: LSTM +rad2deg: rad2deg +rad2deg_: rad2deg_ +rand: rand +rand_like: rand_like +randint: randint +randint_like: randint_like +randn: randn +randn_like: randn_like +randperm: randperm +reciprocal: reciprocal +reciprocal_: reciprocal_ +reflection_pad1d: reflection_pad1d +reflection_pad2d: reflection_pad2d +reflection_pad3d: ReflectionPad3d +relu: relu +relu6: relu6 +relu_: relu_ +remainder: remainder +remainder_: remainder_ +renorm: renorm +renorm_: renorm_ +repeat: repeat +repeat_interleave: repeat_interleave +replication_pad1d: ReplicationPad1d +replication_pad2d: replication_pad2d +replication_pad3d: replication_pad3d +resize_as_: resize_as_ +rnn_relu: RNN +rnn_tanh: RNN +roll: roll +rot90: rot90 +round: round +round_: round_ +rrelu_with_noise: RReLU +rrelu_with_noise_: rrelu_with_noise +rsqrt: rsqrt +rsqrt_: rsqrt_ +rsub: rsub +scalar_tensor: scalar_tensor +scatter: scatter_ +scatter_: scatter_ +scatter_add: scatter_add +scatter_add_: scatter_add_ +searchsorted: searchsorted +select: select +selu: selu +selu_: selu_ +sgn: sgn +sgn_: sgn_ +sigmoid: sigmoid +sigmoid_: sigmoid_ +sign: sign +sign_: sign_ +signbit: signbit +silu: silu +silu_: silu_ +sin: sin +sin_: sin_ +sinc: sinc +sinc_: sinc_ +sinh: sinh +sinh_: sinh_ +slice: slice +smooth_l1_loss: smooth_l1_loss +soft_margin_loss: soft_margin_loss +softplus: softplus +softshrink: softshrink +sort: sort +special_airy_ai: airy_ai +special_bessel_j0: j0 +special_bessel_j1: j1 +special_bessel_y0: y0 +special_bessel_y1: y1 +special_chebyshev_polynomial_t: chebyshev_t +special_chebyshev_polynomial_u: chebyshev_u +special_entr: entr +special_erfcx: erfcx +special_hermite_polynomial_h: hermite +special_hermite_polynomial_he: he +special_i0: i0 +special_i0e: i0e +special_i1: i1 +special_i1e: i1e +special_laguerre_polynomial_l: laguerre_l +special_log_ndtr: log_ndtr +special_modified_bessel_i0: i0 +special_modified_bessel_i1: i1 +special_modified_bessel_k0: k0 +special_modified_bessel_k1: i1 +special_ndtr: ndtr +special_ndtri: ndtri +special_scaled_modified_bessel_k0: i0e +special_scaled_modified_bessel_k1: scaled_modified_bessel_k1 +special_spherical_bessel_j0: spherical_jn +special_xlog1py: xlog1py +special_zeta: zeta +split: split +split_with_sizes: split +sqrt: sqrt +sqrt_: sqrt_ +square: square +square_: square_ +squeeze: squeeze +stack: stack +std: std +std_mean: std_mean +stft: stft +sub: sub +sub_: sub_ +subtract: sub +subtract_: subtract_ +sum: sum +t: t +t_: t_ +take: take +tan: tan +tan_: tan_ +tanh: tanh +tanh_: tanh_ +threshold: threshold +threshold_: threshold_ +to: to +topk: topk +trace: trace +transpose: transpose +transpose_: transpose_ +triangular_solve: triangular_solve +tril: tril +tril_: tril_ +tril_indices: tril_indices +triu: triu +triu_: triu_ +triu_indices: triu_indices +true_divide: true_divide +true_divide_: true_divide_ +trunc: trunc +trunc_: trunc_ +unbind: unbind +unfold: unfold +uniform: Uniform +uniform_: uniform_ +unsafe_chunk: unsafe_chunk +unsafe_split: split +unsafe_split_with_sizes: split_with_sizes +unsqueeze: unsqueeze +unsqueeze_: unsqueeze_ +upsample_bicubic2d: interpolate +upsample_bilinear2d: upsample_bilinear +upsample_nearest1d: interpolate +upsample_nearest2d: interpolate +upsample_nearest3d: interpolate +var: var +var_mean: var_mean +vdot: vdot +view: view +where: where +xlogy: xlogy +xlogy_: xlogy_ +zero: zeros +zero_: zero_ +zeros: zeros +zeros_like: zeros_like + + + diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/match.py b/debug/accuracy_tools/msprobe/pytorch/compare/match.py new file mode 100644 index 0000000000..2a46105bdf --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/compare/match.py @@ -0,0 +1,36 @@ +import os +import yaml +from msprobe.core.common.file_check import FileOpen +from msprobe.core.common.utils import CompareException + + +class AtenIrMapping(): + def __init__(self): + cur_path = os.path.dirname(os.path.realpath(__file__)) + yaml_path = os.path.join(cur_path, "mapping.yaml") + with FileOpen(yaml_path, 'r') as f: + self.aten_mapping = yaml.safe_load(f) + + def match(self, op1, op2): + if "Aten" in op1 and "Aten" not in op2: + return self.match_op(op1, op2) + else: + return self.match_op(op2, op1) + + def match_op(self, aten_op, torch_op): + try: + aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) + aten_op_raw_name = aten_op_raw_name_overload.split('.')[0] + torch_op_raw_name = '_'.join(torch_op.split("_")[1:-3]).lower() + except IndexError as e: + err_msg = f"Dump op name format error: {aten_op}, {torch_op}. Your dump data may be corrupted." + raise CompareException.INVALID_DATA_ERROR(err_msg) from e + matching_op = self.aten_mapping.get(aten_op_raw_name) + if matching_op is None: + return False + if matching_op.lower() == torch_op_raw_name: + return True + return False + + +graph_mapping = AtenIrMapping() diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index dd7f8fc177..35b59b69d4 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -1,18 +1,15 @@ import json -import multiprocessing import os.path -import sys import torch -import pandas as pd from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory -from msprobe.core.common.const import CompareConst, FileCheckConst +from msprobe.core.common.const import FileCheckConst -from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op -from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.utils import get_un_match_accuracy, get_accuracy +from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger @@ -58,18 +55,7 @@ class PTComparator (Comparator): five_thousand_err_ratio_result=five_thousand_err_ratio_result ) - return _save_cmp_result(idx, cr, result_df, lock) - - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): - op_data = json_data['data'][op_name] - op_parsed_list = read_op(op_data, op_name) - if op_name in stack_json_data: - op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) - else: - op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) - - merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) - return merge_list + return _save_cmp_result(idx, cr, result_df, lock) def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles @@ -136,33 +122,6 @@ class PTComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df - def make_result_table(self,result,md5_compare,summary_compare,stack_mode): - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - result_df = pd.DataFrame(result, columns=header) - return result_df - def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -220,13 +179,6 @@ class PTComparator (Comparator): advisor = Advisor(result_df, output_path) advisor.analysis() - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py index 5dbe4453a0..6865845b3b 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py @@ -1,6 +1,6 @@ # coding=utf-8 import unittest -from msprobe.core.compare import match +from debug.accuracy_tools.msprobe.pytorch.compare import match class TestMatch(unittest.TestCase): -- Gitee From 078feb7b85fed098a0be375a7df705876224d555 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 20:08:56 +0800 Subject: [PATCH 131/160] =?UTF-8?q?clean=20code=E4=BF=AE=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debug/accuracy_tools/msprobe/core/compare/utils.py | 3 ++- .../msprobe/mindspore/compare/ms_compare.py | 10 +--------- 2 files changed, 3 insertions(+), 10 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index 909ab1e95d..63b7454320 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -9,7 +9,8 @@ from msprobe.core.common.utils import CompareException, check_file_or_directory_ def extract_json(dirname, stack_json=False): json_path = '' for fname in os.listdir(dirname): - if fname=="construct.json": continue + if fname == "construct.json": + continue full_path = os.path.join(dirname, fname) if full_path.endswith('.json'): json_path = full_path diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index cba440fccb..580cbc700f 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -191,12 +191,4 @@ def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu msComparator=MSComparator() msComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) - - - - - - - - \ No newline at end of file + md5_compare=md5_compare) \ No newline at end of file -- Gitee From 140741c94356fd0be612824793d1b61631d419d1 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 20:09:49 +0800 Subject: [PATCH 132/160] codeclean --- .../msprobe/pytorch/debugger/debugger_config.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py index 9bed41dbae..7c32be7cc3 100644 --- a/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/debugger/debugger_config.py @@ -36,12 +36,14 @@ class DebuggerConfig: "max_sample": task_config.max_sample if task_config.max_sample else 20, } - # dump api tensor and collaborate with online run_ut - self.online_run_ut = task_config.online_run_ut if task_config.online_run_ut else False - self.nfs_path = task_config.nfs_path if task_config.nfs_path else "" - self.tls_path = task_config.tls_path if task_config.tls_path else "" - self.host = task_config.host if task_config.host else "" - self.port = task_config.port if task_config.port else -1 + self.online_run_ut = False + if self.task == Const.TENSOR: + # dump api tensor and collaborate with online run_ut + self.online_run_ut = task_config.online_run_ut if task_config.online_run_ut else False + self.nfs_path = task_config.nfs_path if task_config.nfs_path else "" + self.tls_path = task_config.tls_path if task_config.tls_path else "" + self.host = task_config.host if task_config.host else "" + self.port = task_config.port if task_config.port else -1 self.check() if self.step: -- Gitee From 610fc0dc037ca5128887f985a3d86c67852d8f0c Mon Sep 17 00:00:00 2001 From: gitee Date: Thu, 8 Aug 2024 20:14:20 +0800 Subject: [PATCH 133/160] change number --- debug/accuracy_tools/setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/setup.py b/debug/accuracy_tools/setup.py index afbf8feb3a..70a69e9de9 100644 --- a/debug/accuracy_tools/setup.py +++ b/debug/accuracy_tools/setup.py @@ -14,7 +14,7 @@ import setuptools -__version__ = '1.0.1' +__version__ = '1.0.2' INSTALL_REQUIRED = [ "wheel", -- Gitee From d2c6e6330df57eb572d04ae8e385bb240cfd6eb4 Mon Sep 17 00:00:00 2001 From: stby <295887736@qq.com> Date: Thu, 8 Aug 2024 17:16:18 +0800 Subject: [PATCH 134/160] adapt optimizing --- profiler/cli/compare_cli.py | 3 ++ .../origin_data_bean/kernel_details_bean.py | 6 +++ .../compare_backend/comparison_generator.py | 8 +++- .../data_prepare/operator_data_prepare.py | 41 ++++++++++++++----- .../generator/detail_performance_generator.py | 8 +++- .../profiling_parser/base_profiling_parser.py | 6 ++- .../profiling_parser/gpu_profiling_parser.py | 4 +- .../profiling_parser/npu_profiling_parser.py | 14 +++++-- .../compare_backend/utils/args_manager.py | 25 ++++++++++- .../compare_backend/utils/compare_args.py | 6 ++- .../compare_backend/utils/constant.py | 2 + .../compare_backend/utils/torch_op_node.py | 5 +++ .../compare_interface/comparison_interface.py | 7 +++- profiler/compare_tools/performance_compare.py | 2 + .../test_base_profiling_parser.py | 1 + 15 files changed, 112 insertions(+), 26 deletions(-) diff --git a/profiler/cli/compare_cli.py b/profiler/cli/compare_cli.py index 3a36d2cd9b..b18099897b 100644 --- a/profiler/cli/compare_cli.py +++ b/profiler/cli/compare_cli.py @@ -42,6 +42,9 @@ from profiler.compare_tools.compare_backend.comparison_generator import Comparis required=False) @click.option('--use_input_shape', is_flag=True) @click.option('--gpu_flow_cat', type=str, default='', help="Identifier of the GPU connection.") +@click.option('--base_step', type=str, default='', help="基准性能数据指定比对step") +@click.option('--comparison_step', type=str, default='', help="比较性能数据指定比对step") + def compare_cli(**kwargs) -> None: args = AnalyzeDict(kwargs) ComparisonGenerator(args).run() diff --git a/profiler/compare_tools/compare_backend/compare_bean/origin_data_bean/kernel_details_bean.py b/profiler/compare_tools/compare_backend/compare_bean/origin_data_bean/kernel_details_bean.py index c15396e9c5..f29839724a 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/origin_data_bean/kernel_details_bean.py +++ b/profiler/compare_tools/compare_backend/compare_bean/origin_data_bean/kernel_details_bean.py @@ -18,6 +18,7 @@ class KernelDetailsBean: self._mac_time = 0.0 self._duration = 0.0 self._start_time = Decimal("0") + self._step_id = "" self.init() @property @@ -65,6 +66,10 @@ class KernelDetailsBean: @property def end_time(self) -> Decimal: return self.start_time + convert_to_decimal(self._duration) + + @property + def step_id(self) -> int: + return int(self._step_id) if self._step_id else Constant.VOID_STEP def is_hide_op_pmu(self): if "mac_time(us)" in self._data.keys() or "aiv_vec_time(us)" in self._data.keys(): @@ -119,4 +124,5 @@ class KernelDetailsBean: self._aicore_time = self._data.get("aicore_time(us)", "") self._mac_time = self._data.get('mac_time(us)', "") self._duration = self._data.get('Duration(us)', 0) + self._step_id = self._data.get('Step Id', "") self._start_time = Decimal(self._data.get("Start Time(us)", "0")) diff --git a/profiler/compare_tools/compare_backend/comparison_generator.py b/profiler/compare_tools/compare_backend/comparison_generator.py index b4d17f88ed..bfbc1bb7bd 100644 --- a/profiler/compare_tools/compare_backend/comparison_generator.py +++ b/profiler/compare_tools/compare_backend/comparison_generator.py @@ -31,9 +31,13 @@ class ComparisonGenerator: def load_data(self): self._data_dict[Constant.BASE_DATA] = self.PARSER_DICT.get(self._args_manager.base_profiling_type)( - self._args_manager.args, self._args_manager.base_path_dict).load_data() + self._args_manager.args, + self._args_manager.base_path_dict, + self._args_manager.base_step).load_data() self._data_dict[Constant.COMPARISON_DATA] = self.PARSER_DICT.get(self._args_manager.comparison_profiling_type)( - self._args_manager.args, self._args_manager.comparison_path_dict).load_data() + self._args_manager.args, + self._args_manager.comparison_path_dict, + self._args_manager.comparison_step).load_data() def generate_compare_result(self): overall_data = {Constant.BASE_DATA: self._data_dict.get(Constant.BASE_DATA).overall_metrics, diff --git a/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py b/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py index 59913528a5..2df9ae43e9 100644 --- a/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py +++ b/profiler/compare_tools/compare_backend/data_prepare/operator_data_prepare.py @@ -1,29 +1,48 @@ from compare_backend.profiling_parser.base_profiling_parser import ProfilingResult from compare_backend.utils.tree_builder import TreeBuilder - +from compare_backend.utils.constant import Constant class OperatorDataPrepare: - def __init__(self, profiling_data: ProfilingResult): + def __init__(self, profiling_data: ProfilingResult, specified_step_id: int = Constant.VOID_STEP): self.profiling_data = profiling_data self._all_nodes = self._build_tree() self._root_node = self._all_nodes[0] + self._specified_step_id = specified_step_id def get_top_layer_ops(self) -> any: - level1_child_nodes = self._root_node.child_nodes - result_data = [] - for level1_node in level1_child_nodes: - if level1_node.is_step_profiler(): - result_data.extend(level1_node.child_nodes) - else: - result_data.append(level1_node) - return result_data + if len(self._all_nodes) < 1: + return [] + return self._get_top_layers_ops_from_root_node(self._root_node.child_nodes) def get_all_layer_ops(self) -> any: result_data = [] if len(self._all_nodes) < 1: return result_data - return list(filter(lambda x: not x.is_step_profiler(), self._all_nodes[1:])) + if self._specified_step_id == Constant.VOID_STEP: + return list(filter(lambda x: not x.is_step_profiler(), self._all_nodes[1:])) + node_queue = self._get_top_layers_ops_from_root_node(self._root_node.child_nodes) + while len(node_queue) > 0: + node = node_queue.pop(0) + result_data.append(node) + if node.child_nodes: + node_queue.extend(node.child_nodes) + return result_data def _build_tree(self): return TreeBuilder.build_tree(self.profiling_data.torch_op_data, self.profiling_data.kernel_dict, self.profiling_data.memory_list) + + def _get_top_layers_ops_from_root_node(self, top_layers_nodes: list) -> list: + result_data = [] + for level1_node in top_layers_nodes: + if self._specified_step_id == Constant.VOID_STEP: + if level1_node.is_step_profiler(): + result_data.extend(level1_node.child_nodes) + else: + result_data.append(level1_node) + elif level1_node.is_step_profiler() and level1_node.get_step_id() == self._specified_step_id: + result_data.extend(level1_node.child_nodes) + if not result_data and self._specified_step_id != Constant.VOID_STEP: + print(f"[WARNING] There is no operator infomation for step {self._specified_step_id}, " \ + "please check whether the data contains this step.") + return result_data \ No newline at end of file diff --git a/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py b/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py index c0da4b65bd..916c426c63 100644 --- a/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py +++ b/profiler/compare_tools/compare_backend/generator/detail_performance_generator.py @@ -31,6 +31,8 @@ from compare_backend.data_prepare.sequence_pre_matching import SequencePreMatchi class DetailPerformanceGenerator(BaseGenerator): def __init__(self, profiling_data_dict: dict, args: any): super().__init__(profiling_data_dict, args) + self._base_step_id = int(args.base_step) if args.base_step else Constant.VOID_STEP + self._comparison_step_id = int(args.comparison_step) if args.comparison_step else Constant.VOID_STEP def compare(self): enable_compare = [self._args.enable_operator_compare, self._args.enable_memory_compare, @@ -83,8 +85,10 @@ class DetailPerformanceGenerator(BaseGenerator): # build tree for operator_compare memory_compare and api_compare base_op_prepare, comparison_op_prepare = None, None if self._args.enable_memory_compare or self.enable_api_compare or enable_operator_compare: - base_op_prepare = OperatorDataPrepare(self._profiling_data_dict.get(Constant.BASE_DATA)) - comparison_op_prepare = OperatorDataPrepare(self._profiling_data_dict.get(Constant.COMPARISON_DATA)) + base_op_prepare = OperatorDataPrepare(self._profiling_data_dict.get(Constant.BASE_DATA), + self._base_step_id) + comparison_op_prepare = OperatorDataPrepare(self._profiling_data_dict.get(Constant.COMPARISON_DATA), + self._comparison_step_id) # 算子性能比对-operator级 op_compare_result = [] diff --git a/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py index a2591dd0f9..6afc52ff95 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/base_profiling_parser.py @@ -55,7 +55,7 @@ class ProfilingResult: class BaseProfilingParser(ABC): - def __init__(self, args: any, path_dict: dict): + def __init__(self, args: any, path_dict: dict, step_id: int = Constant.VOID_STEP): self._args = args self._profiling_type = path_dict.get(Constant.PROFILING_TYPE) self._profiling_path = path_dict.get(Constant.PROFILING_PATH) @@ -80,6 +80,7 @@ class BaseProfilingParser(ABC): self._categorize_performance_index = 0 self._cpu_cube_op = None self._bwd_tid = None + self._step_id = step_id @property def cpu_cube_op(self): @@ -120,6 +121,9 @@ class BaseProfilingParser(ABC): def load_data(self) -> ProfilingResult: self._result_data.update_bwd_tid(self._bwd_tid) + if self._step_id != Constant.VOID_STEP and self._profiling_type == Constant.GPU: + msg = "[WARNING] step id is invalid in GPU data, please use this when comparing between NPU datas." + raise RuntimeError(msg) self._dispatch_events() self._update_kernel_dict() self._update_communication_dict() diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 91b4094c2a..65fcc092f9 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -13,8 +13,8 @@ class GPUProfilingParser(BaseProfilingParser): FLOW_CAT = ("async_gpu", "async_cpu_to_gpu", "ac2g", "async") TORCH_OP_CAT = ("cpu_op", "user_annotation", "cuda_runtime", "operator", "runtime") - def __init__(self, args: any, path_dict: dict): - super().__init__(args, path_dict) + def __init__(self, args: any, path_dict: dict, step_id: int = Constant.VOID_STEP): + super().__init__(args, path_dict, step_id) self._trace_events = [TraceEventBean(event) for event in self._trace_events.get("traceEvents", [])] self._flow_cat = (args.gpu_flow_cat,) if args.gpu_flow_cat else self.FLOW_CAT self._compute_stream_id = self._infer_compute_stream_id() diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index 29e9fea8d7..b763d8c9b5 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -17,8 +17,8 @@ class NPUProfilingParser(BaseProfilingParser): ACTIVE_CPU = "ProfilerActivity.CPU" LEVEL_0 = "Level0" - def __init__(self, args: any, path_dict: dict): - super().__init__(args, path_dict) + def __init__(self, args: any, path_dict: dict, step_id: int = Constant.VOID_STEP): + super().__init__(args, path_dict, step_id) self._operator_memory_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "operator_memory.csv") self._memory_record_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "memory_record.csv") self._kernel_detail_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "kernel_details.csv") @@ -72,11 +72,17 @@ class NPUProfilingParser(BaseProfilingParser): for kernel in kernel_details: if kernel.is_invalid(): continue + if self._step_id != Constant.VOID_STEP and kernel.step_id != self._step_id: + continue input_shapes = kernel.input_shapes if kernel.input_shapes else 'N/A' kernels_dict.setdefault(kernel.op_type, {}).setdefault(input_shapes, []).append( [kernel.name, kernel.duration]) - if len(kernels_dict) == 1: - print("[ERROR] Failed to enable enable_kernel_compare, type of kernel_details.csv is null.") + if not kernels_dict: + if self._step_id != Constant.VOID_STEP: + print(f"[ERROR] There is no kernel details infomation for step {self._step_id}," \ + " please check whether the data contains this step.") + else: + print("[ERROR] Failed to enable enable_kernel_compare, type of kernel_details.csv is null.") return self._result_data.update_kernel_details(kernels_dict) diff --git a/profiler/compare_tools/compare_backend/utils/args_manager.py b/profiler/compare_tools/compare_backend/utils/args_manager.py index 579bf9b997..69136c4d7e 100644 --- a/profiler/compare_tools/compare_backend/utils/args_manager.py +++ b/profiler/compare_tools/compare_backend/utils/args_manager.py @@ -24,6 +24,8 @@ class ArgsManager: self._args = args self._base_path_dict = {} self._comparison_path_dict = {} + self._base_step = Constant.VOID_STEP + self._comparison_step = Constant.VOID_STEP @property def args(self): @@ -53,6 +55,14 @@ class ArgsManager: def comparison_path_dict(self): return self._comparison_path_dict + @property + def base_step(self): + return self._base_step + + @property + def comparison_step(self): + return self._comparison_step + @property def enable_profiling_compare(self): return self._args.enable_profiling_compare @@ -88,6 +98,18 @@ class ArgsManager: PathManager.make_dir_safety(output_path) PathManager.check_path_writeable(output_path) + def get_step_args_with_validating(self): + if self._args.base_step and self._args.comparison_step: + if all([self._args.base_step.isdigit(), self._args.comparison_step.isdigit()]): + self._base_step = int(self._args.base_step) + self._comparison_step = int(self._args.comparison_step) + else: + msg = "Invalid param, base_step and comparison_step must be a number." + raise RuntimeError(msg) + elif any([self._args.base_step, self._args.comparison_step]): + msg = "Invalid param, base_step and comparison_step must be set at the same time." + raise RuntimeError(msg) + def parse_profiling_path(self, file_path: str): self.check_profiling_path(file_path) if os.path.isfile(file_path): @@ -134,7 +156,8 @@ class ArgsManager: self._args.enable_communication_compare = True self._args.enable_api_compare = True self._args.enable_kernel_compare = True - + + self.get_step_args_with_validating() base_profiling_path = PathManager.get_realpath(self._args.base_profiling_path) self.check_profiling_path(base_profiling_path) self._base_path_dict = self.parse_profiling_path(base_profiling_path) diff --git a/profiler/compare_tools/compare_backend/utils/compare_args.py b/profiler/compare_tools/compare_backend/utils/compare_args.py index 9e6291e89e..36199b5b0d 100644 --- a/profiler/compare_tools/compare_backend/utils/compare_args.py +++ b/profiler/compare_tools/compare_backend/utils/compare_args.py @@ -12,7 +12,9 @@ class Args: max_kernel_num: int = None, op_name_map: dict = {}, use_input_shape: bool = False, - gpu_flow_cat: str = ""): + gpu_flow_cat: str = "", + base_step: str = "", + comparison_step: str = ""): self.base_profiling_path = base_profiling_path self.comparison_profiling_path = comparison_profiling_path self.enable_profiling_compare = enable_profiling_compare @@ -26,3 +28,5 @@ class Args: self.op_name_map = op_name_map self.use_input_shape = use_input_shape self.gpu_flow_cat = gpu_flow_cat + self.base_step = base_step + self.comparison_step = comparison_step \ No newline at end of file diff --git a/profiler/compare_tools/compare_backend/utils/constant.py b/profiler/compare_tools/compare_backend/utils/constant.py index dbac7ed324..08eb1792a8 100644 --- a/profiler/compare_tools/compare_backend/utils/constant.py +++ b/profiler/compare_tools/compare_backend/utils/constant.py @@ -97,3 +97,5 @@ class Constant(object): IS_BWD = "is_bwd" OPS = "ops" + + VOID_STEP = -1 \ No newline at end of file diff --git a/profiler/compare_tools/compare_backend/utils/torch_op_node.py b/profiler/compare_tools/compare_backend/utils/torch_op_node.py index bb116a60c2..06479462cf 100644 --- a/profiler/compare_tools/compare_backend/utils/torch_op_node.py +++ b/profiler/compare_tools/compare_backend/utils/torch_op_node.py @@ -100,5 +100,10 @@ class TorchOpNode: def is_step_profiler(self) -> bool: return self._event.is_step_profiler() + def get_step_id(self) -> int: + if self.is_step_profiler(): + return int(self._event.name.split("#")[1]) + return Constant.VOID_STEP + def get_op_info(self) -> list: return [self.name, self.input_shape, self.input_type, self.call_stack] diff --git a/profiler/compare_tools/compare_interface/comparison_interface.py b/profiler/compare_tools/compare_interface/comparison_interface.py index b747aae478..68bbcc026e 100644 --- a/profiler/compare_tools/compare_interface/comparison_interface.py +++ b/profiler/compare_tools/compare_interface/comparison_interface.py @@ -12,11 +12,14 @@ from compare_backend.utils.constant import Constant class ComparisonInterface: - def __init__(self, base_profiling_path: str, comparison_profiling_path: str = ""): + def __init__(self, base_profiling_path: str, comparison_profiling_path: str = "", + base_step: str = "", comparison_step: str = ""): self.base_profiling_path = base_profiling_path if comparison_profiling_path: self._args = Args(base_profiling_path=base_profiling_path, - comparison_profiling_path=comparison_profiling_path) + comparison_profiling_path=comparison_profiling_path, + base_step=base_step, + comparison_step=comparison_step) def compare(self, compare_type: str) -> dict: if compare_type == Constant.OVERALL_COMPARE: diff --git a/profiler/compare_tools/performance_compare.py b/profiler/compare_tools/performance_compare.py index 7c3fcdb6ec..dff87db2fb 100644 --- a/profiler/compare_tools/performance_compare.py +++ b/profiler/compare_tools/performance_compare.py @@ -27,6 +27,8 @@ def main(): help="配置GPU与NPU等价的算子名称映射关系，以字典的形式传入") parser.add_argument("--use_input_shape", default=False, action='store_true', help="开启算子的精准匹配") parser.add_argument("--gpu_flow_cat", type=str, default='', help="gpu flow event的分类标识") + parser.add_argument("--base_step", type=str, default='', help="基准性能数据指定比对step") + parser.add_argument("--comparison_step", type=str, default='', help="比较性能数据指定比对step") args = parser.parse_args() ComparisonGenerator(args).run() diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py index e84cfe0484..b78c59f1f7 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_base_profiling_parser.py @@ -27,6 +27,7 @@ class ProfilingParser(BaseProfilingParser): self._enable_kernel_compare = True self._enable_api_compare = True self._bwd_tid = 1 + self._step_id = -1 def _update_kernel_details(self): pass -- Gitee From 6b67e0c79bcc452fcffdb41f48d6cfec7f8f8458 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 20:17:25 +0800 Subject: [PATCH 135/160] importerror fix --- debug/accuracy_tools/msprobe/core/compare/check.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py index 66a96d3022..c9335ef982 100644 --- a/debug/accuracy_tools/msprobe/core/compare/check.py +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -1,4 +1,4 @@ -from debug.accuracy_tools.msprobe.pytorch.compare.match import graph_mapping +from msprobe.pytorch.compare.match import graph_mapping from msprobe.core.common.log import logger from msprobe.core.compare.utils import rename_api -- Gitee From 48fb639e1af9ed617ff7849d0eaae315d4ac658d Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Thu, 8 Aug 2024 21:02:03 +0800 Subject: [PATCH 136/160] add tls online run_ut --- .../tensor_transport_layer/ssl_config.py | 21 +++++------- .../accuracy_tools/msprobe/pytorch/service.py | 34 +++++++++++-------- 2 files changed, 29 insertions(+), 26 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py index 8980723a35..8e29cafd22 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/ssl_config.py @@ -1,13 +1,10 @@ cipher_list = ":".join([ - 'TLS_DHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_DHE_RSA_WITH_AES_256_GCM_SHA384', 'TLS_DHE_DSS_WITH_AES_128_GCM_SHA256', - 'TLS_DHE_DSS_WITH_AES_256_GCM_SHA384', 'TLS_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_AES_128_GCM_SHA256', - 'TLS_DHE_PSK_WITH_AES_256_GCM_SHA384', 'TLS_DHE_PSK_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256', 'TLS_ECDHE_PSK_WITH_CHACHA20_POLY1305_SHA256', - 'TLS_ECDHE_PSK_WITH_AES_128_GCM_SHA256', 'TLS_ECDHE_PSK_WITH_AES_256_GCM_SHA384', - 'TLS_ECDHE_PSK_WITH_AES_128_CCM_SHA256', 'TLS_DHE_RSA_WITH_AES_128_CCM', 'TLS_DHE_RSA_WITH_AES_256_CCM', - 'TLS_DHE_RSA_WITH_CHACHA20_POLY1305_SHA256', 'TLS_PSK_WITH_AES_256_CCM', 'TLS_DHE_PSK_WITH_AES_128_CCM', - 'TLS_DHE_PSK_WITH_AES_256_CCM', 'TLS_ECDHE_ECDSA_WITH_AES_128_CCM', 'TLS_ECDHE_ECDSA_WITH_AES_256_CCM', - 'TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256' -]).encode() + 'ECDHE-ECDSA-AES128-GCM-SHA256', + 'ECDHE-RSA-AES128-GCM-SHA256', + 'ECDHE-ECDSA-AES256-GCM-SHA384', + 'ECDHE-RSA-AES256-GCM-SHA384', + 'ECDHE-ECDSA-CHACHA20-POLY1305', + 'ECDHE-RSA-CHACHA20-POLY1305', + 'DHE-RSA-AES128-GCM-SHA256', + 'DHE-RSA-AES256-GCM-SHA384' +]) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index afcac50db0..187058bd7f 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -32,21 +32,9 @@ class Service: self.switch = False self.current_iter = 0 self.first_start = True - try: - self.current_rank = get_rank_if_initialized() - except DistributedNotInitializedError: - self.current_rank = None + self.current_rank = None self.dump_iter_dir = None - if self.config.online_run_ut: - attl_config = ATTLConfig(is_benchmark_device=False, - connect_ip=self.config.host, - connect_port=self.config.port, - nfs_path=self.config.nfs_path, - tls_path=self.config.tls_path) - need_dump = len(self.config.rank) == 0 or self.current_rank in self.config.rank - self.attl = ATTL('npu', attl_config, need_dump=need_dump) - if self.config.nfs_path: - self.attl.upload("start") + self.attl = None @staticmethod def forward_backward_dump_end(): @@ -148,6 +136,12 @@ class Service: if self.config.step and self.current_iter not in self.config.step: return if self.first_start: + try: + self.current_rank = get_rank_if_initialized() + except DistributedNotInitializedError: + self.current_rank = None + self.attl_init() + if self.config.rank and self.current_rank not in self.config.rank: return self.register_hook_new() @@ -235,6 +229,18 @@ class Service: if Const.STATISTICS == self.config.task or Const.TENSOR == self.config.task: remove_dropout() + def attl_init(self): + if self.config.online_run_ut: + attl_config = ATTLConfig(is_benchmark_device=False, + connect_ip=self.config.host, + connect_port=self.config.port, + nfs_path=self.config.nfs_path, + tls_path=self.config.tls_path) + need_dump = len(self.config.rank) == 0 or self.current_rank in self.config.rank + self.attl = ATTL('npu', attl_config, need_dump=need_dump) + if self.config.nfs_path: + self.attl.upload("start") + def attl_send(self, api_data): logger.info(f"tools is dumping api: {api_data.name}, rank: {self.current_rank}") if self.config.nfs_path: -- Gitee From 50f96e3634509d9c36be56d014094d0bed60b2dd Mon Sep 17 00:00:00 2001 From: makai Date: Thu, 8 Aug 2024 21:28:15 +0800 Subject: [PATCH 137/160] =?UTF-8?q?=E6=8A=8Abase=E7=B1=BB=E4=B8=AD?= =?UTF-8?q?=E7=9A=84is=5Fterminated=E5=B1=9E=E6=80=A7=E6=94=BE=E5=88=B0ms?= =?UTF-8?q?=E5=92=8CPt=E7=B1=BB=E4=B8=AD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/data_dump/data_processor/base.py | 7 ------- .../data_dump/data_processor/mindspore_processor.py | 11 +++++++++++ .../data_dump/data_processor/pytorch_processor.py | 13 ++++++++++++- 3 files changed, 23 insertions(+), 8 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index 9acac5e8ef..e15000008b 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -65,8 +65,6 @@ class BaseDataProcessor: self.current_iter = 0 self._return_forward_new_output = False self._forward_new_output = None - self.real_overflow_nums = 0 - self.overflow_nums = config.overflow_nums @property def data_path(self): @@ -74,11 +72,6 @@ class BaseDataProcessor: @property def is_terminated(self): - if self.overflow_nums == -1: - return False - if self.real_overflow_nums >= self.overflow_nums: - logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_nums}") - return True return False @staticmethod diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index 1a31f935e7..12875030cd 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -154,6 +154,17 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): def __init__(self, config, data_writer): super().__init__(config, data_writer) self.cached_tensors_and_file_paths = {} + self.real_overflow_nums = 0 + self.overflow_nums = config.overflow_nums + + @property + def is_terminated(self): + if self.overflow_nums == -1: + return False + if self.real_overflow_nums >= self.overflow_nums: + logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_nums}") + return True + return False def analyze_forward(self, name, module, module_input_output: ModuleForwardInputsOutputs): self.has_overflow = False diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index f54d971552..8afe36bfd0 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -184,7 +184,18 @@ class OverflowCheckDataProcessor(PytorchDataProcessor): super().__init__(config, data_writer) self.cached_tensors_and_file_paths = {} self.bits_for_overflow = 8 - + self.real_overflow_nums = 0 + self.overflow_nums = config.overflow_nums + + @property + def is_terminated(self): + if self.overflow_nums == -1: + return False + if self.real_overflow_nums >= self.overflow_nums: + logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_nums}") + return True + return False + @staticmethod def overflow_debug_mode_enable(): overflow_mode = os.getenv(OverflowConst.OVERFLOW_DEBUG_MODE_ENABLE, Const.ENV_DISABLE) -- Gitee From 342e05c13b17b432ec607175f0f1c2074a9df0be Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 22:56:48 +0800 Subject: [PATCH 138/160] =?UTF-8?q?=E6=8A=8Amindspore=E5=92=8Cpytorch?= =?UTF-8?q?=E8=A7=A3=E8=80=A6?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/acc_compare.py | 25 ++++++++++++++++--- .../msprobe/core/compare/check.py | 20 --------------- .../msprobe/mindspore/compare/ms_compare.py | 2 +- .../msprobe/pytorch/compare/pt_compare.py | 2 +- 4 files changed, 24 insertions(+), 25 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index e46b81d418..b999eab301 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -1,6 +1,5 @@ import multiprocessing import pandas as pd -from msprobe.core.compare.check import check_op from msprobe.core.common.const import CompareConst from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ get_error_message @@ -8,7 +7,7 @@ from msprobe.core.common.exceptions import FileCheckException from msprobe.core.compare.utils import read_op, merge_tensor,CompareException from msprobe.core.compare.multiprocessing_compute import _handle_multi_process from msprobe.core.common.log import logger - +from msprobe.core.compare.check import check_graph_mode, check_struct_match, fuzzy_check_op class Comparator: @@ -24,8 +23,28 @@ class Comparator: logger.error('result dataframe is not found.') raise CompareException(CompareException.INVALID_DATA_ERROR) from e + def check_op(npu_dict, bench_dict, fuzzy_match): + a_op_name = npu_dict["op_name"] + b_op_name = bench_dict["op_name"] + graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) + + frame_name=getattr(self,"frame_name") + if frame_name == "PTComparator": + from msprobe.pytorch.compare.match import graph_mapping + if graph_mode: + return graph_mapping.match(a_op_name[0], b_op_name[0]) + struct_match = check_struct_match(npu_dict, bench_dict) + if not fuzzy_match: + return a_op_name == b_op_name and struct_match + is_match = True + try: + is_match = fuzzy_check_op(a_op_name, b_op_name) + except Exception as err: + logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) + is_match = False + return is_match and struct_match + - @classmethod def match_op(cls,npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): if check_op(npu_queue[-1], b_op, fuzzy_match): diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py index c9335ef982..c243c0910d 100644 --- a/debug/accuracy_tools/msprobe/core/compare/check.py +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -1,4 +1,3 @@ -from msprobe.pytorch.compare.match import graph_mapping from msprobe.core.common.log import logger from msprobe.core.compare.utils import rename_api @@ -49,25 +48,6 @@ def check_graph_mode(a_op_name, b_op_name): return False -def check_op(npu_dict, bench_dict, fuzzy_match): - a_op_name = npu_dict["op_name"] - b_op_name = bench_dict["op_name"] - graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) - if graph_mode: - return graph_mapping.match(a_op_name[0], b_op_name[0]) - struct_match = check_struct_match(npu_dict, bench_dict) - if not fuzzy_match: - return a_op_name == b_op_name and struct_match - is_match = True - try: - is_match = fuzzy_check_op(a_op_name, b_op_name) - except Exception as err: - logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) - is_match = False - return is_match and struct_match - - - def fuzzy_check_op(npu_name_list, bench_name_list): if len(npu_name_list) == 0 or len(bench_name_list) == 0 or len(npu_name_list) != len(bench_name_list): return False diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 580cbc700f..be7439cb0e 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -18,7 +18,7 @@ from msprobe.core.common.exceptions import FileCheckException class MSComparator (Comparator): def __init__(self): - super().__init__() + self.frame_name=MSComparator.__name__ def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index 35b59b69d4..a947a12f6d 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -18,7 +18,7 @@ from msprobe.core.common.exceptions import FileCheckException class PTComparator (Comparator): def __init__(self): - super().__init__() + self.frame_name=PTComparator.__name__ def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] -- Gitee From 5e5051d00c8a8f4103e220ac3ba8a183fe3fd14b Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 23:12:32 +0800 Subject: [PATCH 139/160] check_op bugfix --- .../accuracy_tools/msprobe/core/compare/acc_compare.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index b999eab301..960c42f543 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -23,7 +23,7 @@ class Comparator: logger.error('result dataframe is not found.') raise CompareException(CompareException.INVALID_DATA_ERROR) from e - def check_op(npu_dict, bench_dict, fuzzy_match): + def check_op(self, npu_dict, bench_dict, fuzzy_match): a_op_name = npu_dict["op_name"] b_op_name = bench_dict["op_name"] graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) @@ -45,14 +45,14 @@ class Comparator: return is_match and struct_match - def match_op(cls,npu_queue, bench_queue, fuzzy_match): + def match_op(self, npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): - if check_op(npu_queue[-1], b_op, fuzzy_match): + if self.check_op(npu_queue[-1], b_op, fuzzy_match): return len(npu_queue) - 1, b_index - if check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): + if self.check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): return len(npu_queue) - 1, len(bench_queue) - 1 for n_index, n_op in enumerate(npu_queue[0: -1]): - if check_op(n_op, bench_queue[-1], fuzzy_match): + if self.check_op(n_op, bench_queue[-1], fuzzy_match): return n_index, len(bench_queue) - 1 return -1, -1 -- Gitee From 806e4cf0dca51076a4f6e6478a2cad4ed38f644e Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 23:38:56 +0800 Subject: [PATCH 140/160] =?UTF-8?q?=E9=97=A8=E7=A6=81=E8=A7=A3=E5=86=B3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/acc_compare.py | 93 ++++++++++--------- .../pytorch_ut/compare/test_acc_compare.py | 6 +- .../test/pytorch_ut/compare/test_match.py | 2 +- 3 files changed, 53 insertions(+), 48 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 960c42f543..7705a748d9 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -14,14 +14,45 @@ class Comparator: def __init__(self): pass - def _do_multi_process(self,input_parma, result_df): - try: - compare_ops=getattr(self,"compare_ops") - result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e + @classmethod + def make_result_table(cls,result,md5_compare,summary_compare,stack_mode): + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] + + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + result_df = pd.DataFrame(result, columns=header) + return result_df + + @classmethod + def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): + op_data = json_data['data'][op_name] + op_parsed_list = read_op(op_data, op_name) + if op_name in stack_json_data: + op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) + else: + op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) + + merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) + return merge_list def check_op(self, npu_dict, bench_dict, fuzzy_match): a_op_name = npu_dict["op_name"] @@ -90,40 +121,12 @@ class Comparator: result_list.append(err_msg) return result_list - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): - op_data = json_data['data'][op_name] - op_parsed_list = read_op(op_data, op_name) - if op_name in stack_json_data: - op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) - else: - op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) - - merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) - return merge_list - - def make_result_table(self,result,md5_compare,summary_compare,stack_mode): - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - result_df = pd.DataFrame(result, columns=header) - return result_df \ No newline at end of file + def _do_multi_process(self,input_parma, result_df): + try: + compare_ops=getattr(self,"compare_ops") + result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py index b97dcc5d94..608f8ca9c5 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py @@ -1,10 +1,11 @@ # coding=utf-8 import unittest import pandas as pd -from msprobe.core.compare.check import check_graph_mode, check_op +from msprobe.core.compare.check import check_graph_mode from msprobe.core.compare.utils import merge_tensor, read_op, get_accuracy, rename_api from msprobe.core.compare.acc_compare import Comparator from msprobe.core.compare.highlight import find_error_rows,find_compare_result_error_rows +from msprobe.core.compare.acc_compare import Comparator npu_dict = {'op_name': ['Functional_conv2d_0_forward_input.0', 'Functional_conv2d_0_forward_input.1', 'Functional_conv2d_0_forward_input.2', 'Functional_conv2d_0_forward_output'], @@ -218,7 +219,8 @@ class TestUtilsMethods(unittest.TestCase): def test_check_op(self): fuzzy_match = False - result = check_op(npu_dict, bench_dict, fuzzy_match) + Comparator=Comparator() + result = Comparator.check_op(npu_dict, bench_dict, fuzzy_match) self.assertEqual(result, True) def test_merge_tensor(self): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py index 6865845b3b..aaa4287267 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py @@ -1,6 +1,6 @@ # coding=utf-8 import unittest -from debug.accuracy_tools.msprobe.pytorch.compare import match +from accuracy_tools.msprobe.pytorch.compare import match class TestMatch(unittest.TestCase): -- Gitee From 7e4be399a8688858756a51fe9e8958f036a5f336 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Thu, 8 Aug 2024 23:49:50 +0800 Subject: [PATCH 141/160] =?UTF-8?q?=E9=97=A8=E7=A6=81DT=20fix?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/test/pytorch_ut/compare/test_match.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py index aaa4287267..ac28e994e9 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_match.py @@ -1,6 +1,6 @@ # coding=utf-8 import unittest -from accuracy_tools.msprobe.pytorch.compare import match +from msprobe.pytorch.compare import match class TestMatch(unittest.TestCase): -- Gitee From 2f5e7c1ad8acd8f897464db200ff2eb08e76a8f3 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Fri, 9 Aug 2024 00:08:07 +0800 Subject: [PATCH 142/160] =?UTF-8?q?DT=E9=87=8C=E9=9D=A2=E5=AF=B9=E8=B1=A1?= =?UTF-8?q?=E5=86=99=E9=94=99=E4=BA=86=EF=BC=8C=E5=B7=B2=E7=BB=8F=E4=BF=AE?= =?UTF-8?q?=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/test/pytorch_ut/compare/test_acc_compare.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py index 608f8ca9c5..f1ffefbd12 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py @@ -219,8 +219,8 @@ class TestUtilsMethods(unittest.TestCase): def test_check_op(self): fuzzy_match = False - Comparator=Comparator() - result = Comparator.check_op(npu_dict, bench_dict, fuzzy_match) + comparator=Comparator() + result = comparator.check_op(npu_dict, bench_dict, fuzzy_match) self.assertEqual(result, True) def test_merge_tensor(self): @@ -233,7 +233,8 @@ class TestUtilsMethods(unittest.TestCase): def test_match_op(self): fuzzy_match = False - a, b = Comparator.match_op([npu_dict], [bench_dict], fuzzy_match) + comparator=Comparator() + a, b = comparator.match_op([npu_dict], [bench_dict], fuzzy_match) self.assertEqual(a, 0) self.assertEqual(b, 0) -- Gitee From 8564d57eab6d09490bc89b39a101cb1e47068a2d Mon Sep 17 00:00:00 2001 From: CSNIU Date: Fri, 9 Aug 2024 01:04:45 +0800 Subject: [PATCH 143/160] =?UTF-8?q?=E8=A7=A3=E5=86=B3check=5Fop=E9=97=AE?= =?UTF-8?q?=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../test/pytorch_ut/compare/test_acc_compare.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py index f1ffefbd12..b08b09c852 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py @@ -3,9 +3,8 @@ import unittest import pandas as pd from msprobe.core.compare.check import check_graph_mode from msprobe.core.compare.utils import merge_tensor, read_op, get_accuracy, rename_api -from msprobe.core.compare.acc_compare import Comparator from msprobe.core.compare.highlight import find_error_rows,find_compare_result_error_rows -from msprobe.core.compare.acc_compare import Comparator +from msprobe.pytorch.compare.pt_compare import PTComparator npu_dict = {'op_name': ['Functional_conv2d_0_forward_input.0', 'Functional_conv2d_0_forward_input.1', 'Functional_conv2d_0_forward_input.2', 'Functional_conv2d_0_forward_output'], @@ -219,8 +218,8 @@ class TestUtilsMethods(unittest.TestCase): def test_check_op(self): fuzzy_match = False - comparator=Comparator() - result = comparator.check_op(npu_dict, bench_dict, fuzzy_match) + ptComparator=PTComparator() + result = ptComparator.check_op(npu_dict, bench_dict, fuzzy_match) self.assertEqual(result, True) def test_merge_tensor(self): @@ -233,8 +232,8 @@ class TestUtilsMethods(unittest.TestCase): def test_match_op(self): fuzzy_match = False - comparator=Comparator() - a, b = comparator.match_op([npu_dict], [bench_dict], fuzzy_match) + ptComparator=PTComparator() + a, b = ptComparator.match_op([npu_dict], [bench_dict], fuzzy_match) self.assertEqual(a, 0) self.assertEqual(b, 0) -- Gitee From acd8afba63b360e3e1a7ee0241f8ef792f9cc559 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Fri, 9 Aug 2024 01:36:05 +0800 Subject: [PATCH 144/160] =?UTF-8?q?pytorch=E5=92=8Cms=E5=8A=9F=E8=83=BD?= =?UTF-8?q?=E8=A7=A3=E8=80=A6=EF=BC=8C=E8=A7=A3=E5=86=B3importError?= =?UTF-8?q?=EF=BC=8Cut=E6=8A=A5=E9=94=99=E7=AD=89=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../grad_tool/common/constant.py | 2 +- .../accuracy_tools/grad_tool/common/utils.py | 3 +- .../grad_tool/grad_ms/grad_analyzer.py | 3 - .../accuracy_tools/msprobe/config/config.json | 19 +- .../msprobe/core/common/const.py | 16 +- .../msprobe/core/common/exceptions.py | 2 +- .../msprobe/core/common/utils.py | 24 +- .../msprobe/core/common_config.py | 8 + .../msprobe/core/compare/acc_compare.py | 93 +- .../msprobe/core/compare/check.py | 30 +- .../msprobe/core/compare/highlight.py | 12 +- .../msprobe/core/compare/match.py | 2 +- ..._compute.py => multiprocessing_compute.py} | 10 +- .../msprobe/core/compare/utils.py | 74 +- .../msprobe/core/data_dump/data_collector.py | 16 + .../core/data_dump/data_processor/base.py | 40 + .../data_processor/mindspore_processor.py | 5 +- .../msprobe/core/grad_probe/constant.py | 19 +- .../msprobe/core/grad_probe/grad_compare.py | 9 +- .../msprobe/core/grad_probe/utils.py | 43 + .../msprobe/mindspore/__init__.py | 1 - .../msprobe/mindspore/advisor/advisor.py | 124 --- .../mindspore/advisor/advisor_const.py | 59 -- .../mindspore/advisor/advisor_result.py | 58 -- .../msprobe/mindspore/common/const.py | 85 ++ .../msprobe/mindspore/compare/compare_cli.py | 3 +- .../mindspore/compare/distributed_compare.py | 76 +- .../msprobe/mindspore/compare/ms_compare.py | 81 +- .../mindspore/debugger/debugger_config.py | 28 +- .../mindspore/debugger/precision_debugger.py | 45 +- .../msprobe/mindspore/doc/dump.md | 12 +- .../mindspore/free_benchmark/__init__.py | 0 .../free_benchmark/api_pynative_self_check.py | 116 +++ .../free_benchmark/common/__init__.py | 0 .../mindspore/free_benchmark/common/config.py | 12 + .../free_benchmark/common/handler_params.py | 17 + .../mindspore/free_benchmark/common/utils.py | 71 ++ .../free_benchmark/data/support_wrap_ops.yaml | 842 ++++++++++++++++++ .../free_benchmark/decorator/__init__.py | 0 .../free_benchmark/decorator/dec_forward.py | 42 + .../decorator/decorator_factory.py | 107 +++ .../free_benchmark/handler/__init__.py | 0 .../free_benchmark/handler/base_handler.py | 90 ++ .../free_benchmark/handler/check_handler.py | 41 + .../free_benchmark/handler/fix_handler.py | 36 + .../free_benchmark/handler/handler_factory.py | 21 + .../free_benchmark/perturbation/add_noise.py | 67 ++ .../perturbation/base_perturbation.py | 21 + .../free_benchmark/perturbation/bit_noise.py | 63 ++ .../perturbation/improve_precision.py | 34 + .../free_benchmark/perturbation/no_change.py | 12 + .../perturbation/perturbation_factory.py | 27 + .../free_benchmark/self_check_tool_factory.py | 33 + .../msprobe/mindspore/grad_probe/__init__.py | 0 .../mindspore/grad_probe/global_context.py | 91 ++ .../mindspore/grad_probe/grad_analyzer.py | 231 +++++ .../mindspore/grad_probe/grad_monitor.py | 27 + .../mindspore/grad_probe/grad_stat_csv.py | 132 +++ .../msprobe/mindspore/grad_probe/hook.py | 92 ++ .../msprobe/mindspore/grad_probe/utils.py | 29 + .../msprobe/mindspore/ms_config.py | 32 + .../msprobe/mindspore/runtime.py | 4 + .../msprobe/mindspore/service.py | 152 +++- .../msprobe/mindspore/task_handler_factory.py | 12 +- debug/accuracy_tools/msprobe/msprobe.py | 52 +- .../msprobe/pytorch/__init__.py | 1 + .../msprobe/pytorch/advisor/advisor.py | 124 --- .../msprobe/pytorch/advisor/advisor_const.py | 59 -- .../msprobe/pytorch/advisor/advisor_result.py | 58 -- .../msprobe/pytorch/compare/compare_cli.py | 4 +- .../pytorch/compare/distributed_compare.py | 55 +- .../msprobe/pytorch/compare/mapping.yaml | 607 +++++++++++++ .../msprobe/pytorch/compare/match.py | 36 + .../msprobe/pytorch/compare/pt_compare.py | 84 +- .../pytorch/debugger/precision_debugger.py | 10 +- .../pytorch/grad_probe/grad_monitor.py | 56 +- .../pytorch/grad_probe/grad_stat_csv.py | 14 +- .../msprobe/pytorch/pt_config.py | 4 +- .../test/mindspore_ut/test_ms_config.py | 7 +- .../test/mindspore_ut/test_primitive_dump.py | 82 ++ .../mindspore_ut/test_task_handler_factory.py | 4 +- .../test/pytorch_ut/advisor/test_advisor.py | 4 +- .../pytorch_ut/compare/test_acc_compare.py | 35 +- .../result_handlers/test_result_handler.py | 19 + .../pytorch_ut/grad_probe/test_grad_csv.py | 13 +- .../grad_probe/test_grad_monitor.py | 22 +- ...7\275\221URL\350\257\264\346\230\216.xlsx" | Bin 16997 -> 17397 bytes profiler/advisor/README.md | 38 +- profiler/advisor/analyzer/base_analyzer.py | 6 +- .../Communication_retransmission_analyzer.py | 46 + .../Communication_retransmission_checker.py | 128 +++ .../analyzer/communication/packet_analyzer.py | 46 + .../analyzer/communication/packet_checker.py | 148 +++ .../ai_core_freq/ai_core_freq_checker.py | 2 +- profiler/advisor/common/analyzer_scopes.py | 16 + profiler/advisor/common/constant.py | 15 + .../dataset/cluster/cluster_dataset.py | 33 + .../dataset/cluster/hccl_collection.py | 78 ++ .../advisor/dataset/communication/__init__.py | 0 .../communication/communication_dataset.py | 109 +++ ...communication_retransmission_analysis.html | 40 + .../html/templates/packet_analysis.html | 23 + profiler/advisor/img/cluster_2.png | Bin 0 -> 66908 bytes profiler/advisor/img/communication.png | Bin 0 -> 58862 bytes profiler/advisor/interface/interface.py | 21 +- profiler/advisor/rules/packet.yaml | 14 + profiler/advisor/rules/rdma_analysis.yaml | 9 + profiler/cli/compare_cli.py | 5 +- .../overall_performance_comparator.py | 8 + .../compare_bean/profiling_info.py | 181 ++-- .../compare_backend/comparison_generator.py | 35 +- .../disaggregate/overall_perf_interface.py | 15 +- .../profiling_parser/gpu_profiling_parser.py | 20 - .../profiling_parser/npu_profiling_parser.py | 56 +- .../compare_backend/utils/args_manager.py | 11 +- .../compare_backend/utils/constant.py | 3 + .../compare_backend/utils/file_reader.py | 1 - .../compare_interface/comparison_interface.py | 1 - profiler/compare_tools/performance_compare.py | 1 - .../test_rdma_retransmission_advice.py | 170 ++++ .../test_packet_advice.py | 175 ++++ .../compare_bean/test_profiling_info.py | 73 +- .../test_gpu_profiling_parser.py | 12 +- 123 files changed, 5184 insertions(+), 1161 deletions(-) rename debug/accuracy_tools/msprobe/core/compare/{Multiprocessing_compute.py => multiprocessing_compute.py} (97%) delete mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py delete mode 100644 debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/common/const.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/__init__.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py create mode 100644 debug/accuracy_tools/msprobe/mindspore/runtime.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py delete mode 100644 debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py create mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml create mode 100644 debug/accuracy_tools/msprobe/pytorch/compare/match.py create mode 100644 debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py create mode 100644 profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py create mode 100644 profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py create mode 100644 profiler/advisor/analyzer/communication/packet_analyzer.py create mode 100644 profiler/advisor/analyzer/communication/packet_checker.py create mode 100644 profiler/advisor/dataset/cluster/hccl_collection.py create mode 100644 profiler/advisor/dataset/communication/__init__.py create mode 100644 profiler/advisor/dataset/communication/communication_dataset.py create mode 100644 profiler/advisor/display/html/templates/communication_retransmission_analysis.html create mode 100644 profiler/advisor/display/html/templates/packet_analysis.html create mode 100644 profiler/advisor/img/cluster_2.png create mode 100644 profiler/advisor/img/communication.png create mode 100644 profiler/advisor/rules/packet.yaml create mode 100644 profiler/advisor/rules/rdma_analysis.yaml create mode 100644 profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py create mode 100644 profiler/test/ut/advisor/communication_advice/test_packet_advice.py diff --git a/debug/accuracy_tools/grad_tool/common/constant.py b/debug/accuracy_tools/grad_tool/common/constant.py index 38d33e9886..7904c1d424 100644 --- a/debug/accuracy_tools/grad_tool/common/constant.py +++ b/debug/accuracy_tools/grad_tool/common/constant.py @@ -39,7 +39,7 @@ class GradConst: DIRECTORY_LENGTH = 4096 FILE_NAME_LENGTH = 255 FILE_VALID_PATTERN = r"^[a-zA-Z0-9_.:/-]+$" - PARAM_VALID_PATTERN = r"^[a-zA-Z0-9.]+$" + PARAM_VALID_PATTERN = r"^[a-zA-Z0-9_.:-]+$" DIR = "dir" FILE = "file" diff --git a/debug/accuracy_tools/grad_tool/common/utils.py b/debug/accuracy_tools/grad_tool/common/utils.py index fceda8ce0f..f40f8688c2 100644 --- a/debug/accuracy_tools/grad_tool/common/utils.py +++ b/debug/accuracy_tools/grad_tool/common/utils.py @@ -7,7 +7,6 @@ import yaml import pandas as pd from grad_tool.common.constant import GradConst -from ptdbg_ascend.src.python.ptdbg_ascend.common.file_check_util import FileOpen def _print_log(level, msg, end='\n'): @@ -115,7 +114,7 @@ class ListCache(list): def get_config(filepath): - with FileOpen(filepath, 'r') as file: + with open(filepath, 'r') as file: config = yaml.safe_load(file) return config diff --git a/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py b/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py index c843df3884..fa794a681a 100644 --- a/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py +++ b/debug/accuracy_tools/grad_tool/grad_ms/grad_analyzer.py @@ -16,7 +16,6 @@ from grad_tool.common.utils import ListCache, print_warn_log from grad_tool.common.utils import create_directory, check_file_or_directory_path, write_csv from grad_tool.grad_ms.global_context import grad_context from grad_tool.grad_ms.global_context import GlobalContext -from ptdbg_ascend.src.python.ptdbg_ascend.common.file_check_util import FileCheckConst, FileChecker def get_rank_id(): @@ -170,8 +169,6 @@ class CSVGenerator(Process): stat_data = None max_try = 10 while max_try: - file_path_checker = FileChecker(file_path, FileCheckConst.DIR,FileCheckConst.READ_ABLE) - file_path = file_path_checker.common_check() try: stat_data = np.load(file_path) return stat_data diff --git a/debug/accuracy_tools/msprobe/config/config.json b/debug/accuracy_tools/msprobe/config/config.json index ef0283ca27..bc9789a38e 100644 --- a/debug/accuracy_tools/msprobe/config/config.json +++ b/debug/accuracy_tools/msprobe/config/config.json @@ -31,11 +31,20 @@ "error_data_path": "./" }, "grad_probe": { - "level": "L1", + "grad_level": "L1", "param_list": [], - "rank": [], - "step": [], - "bounds": [-1, 0, 1], - "output_path": "./grad_output" + "bounds": [-1, 0, 1] + }, + "free_benchmark": { + "scope": [], + "list": [], + "fuzz_device": "npu", + "pert_mode": "improve_precision", + "handler_type": "check", + "fuzz_level": "L1", + "fuzz_stage": "forward", + "if_preheat": false, + "preheat_step": 15, + "max_sample": 20 } } \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/common/const.py b/debug/accuracy_tools/msprobe/core/common/const.py index 2fe424a437..3337570825 100644 --- a/debug/accuracy_tools/msprobe/core/common/const.py +++ b/debug/accuracy_tools/msprobe/core/common/const.py @@ -1,5 +1,6 @@ import os import stat + import numpy as np @@ -16,6 +17,7 @@ class Const: OFF = 'OFF' BACKWARD = 'backward' FORWARD = 'forward' + PRIMITIVE_PREFIX = 'Primitive' DEFAULT_LIST = [] DEFAULT_PATH = './' WHITE_LIST = 'white_list' @@ -255,17 +257,3 @@ class OverflowConst: OVERFLOW_DEBUG_MODE_ENABLE = "OVERFLOW_DEBUG_MODE_ENABLE" OVERFLOW_ORIGINAL_MODE = 0 OVERFLOW_DEBUG_MODE = 1 - - -class MsConst: - CELL = "cell" - API = "api" - KERNEL = "kernel" - TOOL_LEVEL_DICT = { - "L0": CELL, - "L1": API, - "L2": KERNEL - } - PYNATIVE_MODE = "pynative" - GRAPH_GE_MODE = "graph_ge" - GRAPH_KBYK_MODE = "graph_kbyk" diff --git a/debug/accuracy_tools/msprobe/core/common/exceptions.py b/debug/accuracy_tools/msprobe/core/common/exceptions.py index ea61f8cd58..eb314c7c64 100644 --- a/debug/accuracy_tools/msprobe/core/common/exceptions.py +++ b/debug/accuracy_tools/msprobe/core/common/exceptions.py @@ -85,4 +85,4 @@ class DistributedNotInitializedError(Exception): self.msg = msg def __str__(self): - return self.msg + return self.msg \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/common/utils.py b/debug/accuracy_tools/msprobe/core/common/utils.py index cde65dd0e4..7a34a24118 100644 --- a/debug/accuracy_tools/msprobe/core/common/utils.py +++ b/debug/accuracy_tools/msprobe/core/common/utils.py @@ -27,7 +27,7 @@ from datetime import datetime, timezone from pathlib import Path import numpy as np -from msprobe.core.common.file_check import FileOpen, FileChecker +from msprobe.core.common.file_check import FileOpen, FileChecker, change_mode from msprobe.core.common.const import Const, FileCheckConst, CompareConst, OverflowConst from msprobe.core.common.log import logger @@ -258,6 +258,17 @@ def remove_path(path): raise CompareException(CompareException.INVALID_PATH_ERROR) from err +def move_file(src_path, dst_path): + check_file_or_directory_path(src_path) + check_path_before_create(dst_path) + try: + shutil.move(src_path, dst_path) + except Exception as e: + logger.error(f"move file {src_path} to {dst_path} failed") + raise RuntimeError(f"move file {src_path} to {dst_path} failed") from e + change_mode(dst_path, FileCheckConst.DATA_FILE_AUTHORITY) + + def get_dump_data_path(dump_dir): """ Function Description: @@ -515,10 +526,19 @@ def write_csv(data, filepath): def load_npy(filepath): - filepath = os.path.realpath(filepath) check_file_or_directory_path(filepath) try: npy = np.load(filepath) except Exception as e: raise RuntimeError(f"load npy file {filepath} failed") from e return npy + + +def save_npy(data, filepath): + filepath = os.path.realpath(filepath) + check_path_before_create(filepath) + try: + npy = np.save(filepath, data) + except Exception as e: + raise RuntimeError(f"save npy file {filepath} failed") from e + change_mode(filepath, FileCheckConst.DATA_FILE_AUTHORITY) diff --git a/debug/accuracy_tools/msprobe/core/common_config.py b/debug/accuracy_tools/msprobe/core/common_config.py index d6c15e101e..688734be8a 100644 --- a/debug/accuracy_tools/msprobe/core/common_config.py +++ b/debug/accuracy_tools/msprobe/core/common_config.py @@ -50,6 +50,14 @@ class BaseConfig: self.summary_mode = json_config.get("summary_mode") self.overflow_nums = json_config.get("overflow_nums") self.check_mode = json_config.get("check_mode") + self.fuzz_device = json_config.get("fuzz_device") + self.pert_mode = json_config.get("pert_mode") + self.handler_type = json_config.get("handler_type") + self.fuzz_level = json_config.get("fuzz_level") + self.fuzz_stage = json_config.get("fuzz_stage") + self.if_preheat = json_config.get("if_preheat") + self.preheat_step = json_config.get("preheat_step") + self.max_sample = json_config.get("max_sample") def check_config(self): if self.scope is not None and not isinstance(self.scope, list): diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 7d2be9c4c0..7705a748d9 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -1,22 +1,89 @@ -from msprobe.core.compare.check import check_op -from msprobe.core.common.const import CompareConst +import multiprocessing +import pandas as pd +from msprobe.core.common.const import CompareConst from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ get_error_message from msprobe.core.common.exceptions import FileCheckException - +from msprobe.core.compare.utils import read_op, merge_tensor,CompareException +from msprobe.core.compare.multiprocessing_compute import _handle_multi_process +from msprobe.core.common.log import logger +from msprobe.core.compare.check import check_graph_mode, check_struct_match, fuzzy_check_op class Comparator: + def __init__(self): pass - def match_op(self,npu_queue, bench_queue, fuzzy_match): + @classmethod + def make_result_table(cls,result,md5_compare,summary_compare,stack_mode): + header = [] + if md5_compare: + header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] + elif summary_compare: + header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] + else: + header = CompareConst.COMPARE_RESULT_HEADER[:] + + all_mode_bool = not (summary_compare or md5_compare) + if stack_mode: + if all_mode_bool: + header.append(CompareConst.STACK) + header.append(CompareConst.DATA_NAME) + else: + header.append(CompareConst.STACK) + else: + if all_mode_bool: + for row in result: + del row[-2] + header.append(CompareConst.DATA_NAME) + else: + for row in result: + del row[-1] + result_df = pd.DataFrame(result, columns=header) + return result_df + + @classmethod + def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): + op_data = json_data['data'][op_name] + op_parsed_list = read_op(op_data, op_name) + if op_name in stack_json_data: + op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) + else: + op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) + + merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) + return merge_list + + def check_op(self, npu_dict, bench_dict, fuzzy_match): + a_op_name = npu_dict["op_name"] + b_op_name = bench_dict["op_name"] + graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) + + frame_name=getattr(self,"frame_name") + if frame_name == "PTComparator": + from msprobe.pytorch.compare.match import graph_mapping + if graph_mode: + return graph_mapping.match(a_op_name[0], b_op_name[0]) + struct_match = check_struct_match(npu_dict, bench_dict) + if not fuzzy_match: + return a_op_name == b_op_name and struct_match + is_match = True + try: + is_match = fuzzy_check_op(a_op_name, b_op_name) + except Exception as err: + logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) + is_match = False + return is_match and struct_match + + + def match_op(self, npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): - if check_op(npu_queue[-1], b_op, fuzzy_match): + if self.check_op(npu_queue[-1], b_op, fuzzy_match): return len(npu_queue) - 1, b_index - if check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): + if self.check_op(npu_queue[-1], bench_queue[-1], fuzzy_match): return len(npu_queue) - 1, len(bench_queue) - 1 for n_index, n_op in enumerate(npu_queue[0: -1]): - if check_op(n_op, bench_queue[-1], fuzzy_match): + if self.check_op(n_op, bench_queue[-1], fuzzy_match): return n_index, len(bench_queue) - 1 return -1, -1 @@ -54,6 +121,12 @@ class Comparator: result_list.append(err_msg) return result_list - -testComparator= Comparator() - + def _do_multi_process(self,input_parma, result_df): + try: + compare_ops=getattr(self,"compare_ops") + result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) + return result_df + except ValueError as e: + logger.error('result dataframe is not found.') + raise CompareException(CompareException.INVALID_DATA_ERROR) from e + \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/compare/check.py b/debug/accuracy_tools/msprobe/core/compare/check.py index a8ee3638a2..c243c0910d 100644 --- a/debug/accuracy_tools/msprobe/core/compare/check.py +++ b/debug/accuracy_tools/msprobe/core/compare/check.py @@ -1,9 +1,7 @@ -from msprobe.core.compare.match import graph_mapping from msprobe.core.common.log import logger from msprobe.core.compare.utils import rename_api - def check_struct_match(npu_dict, bench_dict): npu_struct_in = npu_dict.get("input_struct") bench_struct_in = bench_dict.get("input_struct") @@ -18,6 +16,7 @@ def check_struct_match(npu_dict, bench_dict): is_match = struct_in_is_match and struct_out_is_match return is_match + def check_type_shape_match(npu_struct, bench_struct): shape_type_match = False for npu_type_shape, bench_type_shape in zip(npu_struct, bench_struct): @@ -28,8 +27,10 @@ def check_type_shape_match(npu_struct, bench_struct): shape_match = npu_shape == bench_shape type_match = npu_type == bench_type if not type_match: - if ([npu_type, bench_type] in [["Float16", "Float32"], ["Float32", "Float16"]] )or ([npu_type, bench_type] in [["torch.float16", "torch.float32"], ["torch.float32", "torch.float16"], - ["torch.float16", "torch.bfloat16"], ["torch.bfloat16", "torch.float16"]]): + ms_type=[["Float16", "Float32"], ["Float32", "Float16"],["Float16", "BFloat16"],["BFloat16", "Float16"]] + torch_type=[["torch.float16", "torch.float32"], ["torch.float32", "torch.float16"], + ["torch.float16", "torch.bfloat16"], ["torch.bfloat16", "torch.float16"]] + if ([npu_type, bench_type] in ms_type)or ([npu_type, bench_type] in torch_type): type_match = True else: type_match = False @@ -38,6 +39,7 @@ def check_type_shape_match(npu_struct, bench_struct): return False return shape_type_match + def check_graph_mode(a_op_name, b_op_name): if "Aten" in a_op_name and "Aten" not in b_op_name: return True @@ -46,25 +48,6 @@ def check_graph_mode(a_op_name, b_op_name): return False -def check_op(npu_dict, bench_dict, fuzzy_match): - a_op_name = npu_dict["op_name"] - b_op_name = bench_dict["op_name"] - graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) - if graph_mode: - return graph_mapping.match(a_op_name[0], b_op_name[0]) - struct_match = check_struct_match(npu_dict, bench_dict) - if not fuzzy_match: - return a_op_name == b_op_name and struct_match - is_match = True - try: - is_match = fuzzy_check_op(a_op_name, b_op_name) - except Exception as err: - logger.warning("%s and %s can not fuzzy match." % (a_op_name, b_op_name)) - is_match = False - return is_match and struct_match - - - def fuzzy_check_op(npu_name_list, bench_name_list): if len(npu_name_list) == 0 or len(bench_name_list) == 0 or len(npu_name_list) != len(bench_name_list): return False @@ -75,6 +58,7 @@ def fuzzy_check_op(npu_name_list, bench_name_list): break return is_match + def fuzzy_check_name(npu_name, bench_name): if "forward" in npu_name and "forward" in bench_name: is_match = rename_api(npu_name, "forward") == rename_api(bench_name, "forward") diff --git a/debug/accuracy_tools/msprobe/core/compare/highlight.py b/debug/accuracy_tools/msprobe/core/compare/highlight.py index 17dee2f500..ef35fd0616 100644 --- a/debug/accuracy_tools/msprobe/core/compare/highlight.py +++ b/debug/accuracy_tools/msprobe/core/compare/highlight.py @@ -1,16 +1,13 @@ import math import abc -import numpy as np from collections import namedtuple +import numpy as np import openpyxl from openpyxl.styles import PatternFill -from collections import namedtuple -from msprobe.core.common.utils import get_header_index -from msprobe.core.common.const import CompareConst +from msprobe.core.common.utils import get_header_index, CompareException from msprobe.core.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.file_check import change_mode -from msprobe.core.common.const import CompareConst, FileCheckConst +from msprobe.core.common.file_check import change_mode +from msprobe.core.common.const import CompareConst, FileCheckConst class HighlightCheck(abc.ABC): @@ -166,6 +163,7 @@ def get_name_and_state(name): state = "output" return api_name, state + def find_compare_result_error_rows(result_df, highlight_dict, summary_compare, md5_compare): """将dataframe根据API分组，并找到有误差的算子用于高亮""" result = result_df.values diff --git a/debug/accuracy_tools/msprobe/core/compare/match.py b/debug/accuracy_tools/msprobe/core/compare/match.py index 6347d8887c..2a46105bdf 100644 --- a/debug/accuracy_tools/msprobe/core/compare/match.py +++ b/debug/accuracy_tools/msprobe/core/compare/match.py @@ -10,7 +10,7 @@ class AtenIrMapping(): yaml_path = os.path.join(cur_path, "mapping.yaml") with FileOpen(yaml_path, 'r') as f: self.aten_mapping = yaml.safe_load(f) - + def match(self, op1, op2): if "Aten" in op1 and "Aten" not in op2: return self.match_op(op1, op2) diff --git a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py b/debug/accuracy_tools/msprobe/core/compare/multiprocessing_compute.py similarity index 97% rename from debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py rename to debug/accuracy_tools/msprobe/core/compare/multiprocessing_compute.py index 9d8e9744ec..da63005e5d 100644 --- a/debug/accuracy_tools/msprobe/core/compare/Multiprocessing_compute.py +++ b/debug/accuracy_tools/msprobe/core/compare/multiprocessing_compute.py @@ -1,10 +1,10 @@ import multiprocessing -import pandas as pd from dataclasses import dataclass +import pandas as pd from msprobe.core.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.const import CompareConst +from msprobe.core.common.utils import CompareException +from msprobe.core.common.const import CompareConst def _handle_multi_process(func, input_parma, result_df, lock): @@ -38,6 +38,7 @@ def _handle_multi_process(func, input_parma, result_df, lock): pool.join() return pd.concat(final_results, ignore_index=True) + def read_dump_data(result_df): try: npu_dump_name_list = result_df.iloc[0:, 0].tolist() @@ -55,7 +56,6 @@ def read_dump_data(result_df): logger.error('result dataframe elements can not be access.') raise CompareException(CompareException.INDEX_OUT_OF_BOUNDS_ERROR) from e - @dataclass class ComparisonResult: cos_result: list @@ -65,6 +65,7 @@ class ComparisonResult: one_thousand_err_ratio_result: list five_thousand_err_ratio_result: list + def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): """ Save comparison results into the result DataFrame with thread safety. @@ -99,6 +100,7 @@ def _save_cmp_result(offset, result: ComparisonResult, result_df, lock): finally: lock.release() + def check_accuracy(cos, max_abs_err): if cos == CompareConst.SHAPE_UNMATCH: return CompareConst.ACCURACY_CHECK_UNMATCH diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index d213e0b46d..63b7454320 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -1,9 +1,59 @@ import os +import re import numpy as np from msprobe.core.common.const import Const, CompareConst +from msprobe.core.common.utils import CompareException, check_file_or_directory_path, check_regex_prefix_format_valid, logger +def extract_json(dirname, stack_json=False): + json_path = '' + for fname in os.listdir(dirname): + if fname == "construct.json": + continue + full_path = os.path.join(dirname, fname) + if full_path.endswith('.json'): + json_path = full_path + if not stack_json and 'stack' not in json_path: + break + if stack_json and 'stack' in json_path: + break + + # Provide robustness on invalid directory inputs + if not json_path: + logger.error(f'No file is found in dump dir {dirname}. ') + raise CompareException(CompareException.NO_DUMP_FILE_ERROR) + return json_path + + +def check_and_return_dir_contents(dump_dir, prefix): + """ + check the given dump dir and validate files in dump dir by using the given prefix patterns to build a + pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ + + Args: + dump_dir (str): dump dir + prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only + + Returns: + content [list]: dir contents + Raises: + CompareException: invalid path + ValueError: prefix not match the patterns + + """ + check_regex_prefix_format_valid(prefix) + check_file_or_directory_path(dump_dir, True) + contents = os.listdir(dump_dir) + pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') + for name in contents: + if not pattern.match(name): + logger.error( + f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " + f"output. Please check and delete irrelevant files in {dump_dir} and try again." + ) + raise CompareException(CompareException.INVALID_PATH_ERROR) + return contents def rename_api(npu_name, process): @@ -13,6 +63,7 @@ def rename_api(npu_name, process): torch_func = str(torch_func_split[0]) + str(in_out) return torch_func + def read_op(op_data, op_name): op_parsed_list = [] if 'forward' in op_name: @@ -38,18 +89,19 @@ def read_op(op_data, op_name): op_parsed_list += output_parsed_list output_parsed_list.clear() if 'backward' in op_name: - if 'grad_input' in op_data: - input_item = op_data['grad_input'] + if 'input' in op_data: + input_item = op_data['input'] input_parsed_list = op_item_parse(input_item, op_name + '_input', None) op_parsed_list = input_parsed_list.copy() input_parsed_list.clear() - if 'grad_output' in op_data: - output_item = op_data['grad_output'] + if 'output' in op_data: + output_item = op_data['output'] output_parsed_list = op_item_parse(output_item, op_name + '_output', None) op_parsed_list += output_parsed_list output_parsed_list.clear() return op_parsed_list + def op_item_parse(item, op_name, index, item_list=None, top_bool=True): if item_list is None: item_list = [] @@ -121,6 +173,7 @@ def op_item_parse(item, op_name, index, item_list=None, top_bool=True): op_item_parse(item_spec, full_op_name, j, item_list=item_list, top_bool=False) return item_list + def resolve_api_special_parameters(data_dict, full_op_name, item_list): """ Function Description: @@ -269,6 +322,7 @@ def get_accuracy(result, n_dict, b_dict, summary_compare=False, md5_compare=Fals get_accuracy_core(n_num_input, n_num_kwarg, b_num_input, b_num_kwarg, "kwargs_struct") get_accuracy_core(n_num_input + n_num_kwarg, n_num_output, b_num_input + b_num_kwarg, b_num_output, 'output_struct') + def get_un_match_accuracy(result, n_dict, md5_compare, summary_compare): index_out = 0 npu_stack_info = n_dict.get("stack_info", None) @@ -352,7 +406,17 @@ def merge_tensor(tensor_list, summary_compare, md5_compare): return op_dict if op_dict["op_name"] else {} - +def _compare_parser(parser): + parser.add_argument("-i", "--input_path", dest="input_path", type=str, + help=" The compare input path, a dict json.", required=True) + parser.add_argument("-o", "--output_path", dest="output_path", type=str, + help=" The compare task result out path.", required=True) + parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", + help=" Whether to save stack info.", required=False) + parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", + help=" Whether to give advisor.", required=False) + parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", + help=" Whether to perform a fuzzy match on the api name.", required=False) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py b/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py index db437539af..7acc607f19 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_collector.py @@ -106,6 +106,22 @@ class DataCollector: raise Exception("[msprobe] exit") self.handle_data(name, data_info) + def backward_input_data_collect(self, name, module, pid, module_input_output): + self.update_construct(name) + if not self.check_scope_and_pid(self.scope, name, pid): + return + + data_info = self.data_processor.analyze_backward_input(name, module, module_input_output) + self.handle_data(name, data_info) + + def backward_output_data_collect(self, name, module, pid, module_input_output): + self.update_construct(name) + if not self.check_scope_and_pid(self.scope, name, pid): + return + + data_info = self.data_processor.analyze_backward_output(name, module, module_input_output) + self.handle_data(name, data_info) + def update_construct(self, name): if self.config.level not in DataCollector.level_without_construct: self.data_writer.update_construct({name: self.module_processor.api_parent_node}) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py index 2fbc86b565..fcb522d117 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/base.py @@ -41,6 +41,24 @@ class ModuleBackwardInputsOutputs: return convert_tuple(self.grad_output) +@dataclass +class ModuleBackwardInputs: + grad_input: Optional[Tuple] + + @property + def grad_input_tuple(self): + return convert_tuple(self.grad_input) + + +@dataclass +class ModuleBackwardOutputs: + grad_output: Optional[Tuple] + + @property + def grad_output_tuple(self): + return convert_tuple(self.grad_output) + + class TensorStatInfo: def __init__(self, max_val=None, min_val=None, mean_val=None, norm_val=None): self.max = max_val @@ -228,6 +246,28 @@ class BaseDataProcessor: return api_info_struct + def analyze_backward_input(self, name, module, + module_input_output: ModuleBackwardInputs): + api_info_struct = {} + if self.is_dump_for_data_mode(Const.BACKWARD, Const.INPUT): + api_info_struct[name] = {} + self.api_data_category = Const.INPUT + + input_info_list = self.analyze_element(module_input_output.grad_input_tuple) + api_info_struct[name][Const.INPUT] = input_info_list + return api_info_struct + + def analyze_backward_output(self, name, module, + module_input_output: ModuleBackwardOutputs): + api_info_struct = {} + if self.is_dump_for_data_mode(Const.BACKWARD, Const.OUTPUT): + api_info_struct[name] = {} + self.api_data_category = Const.OUTPUT + + output_info_list = self.analyze_element(module_input_output.grad_output_tuple) + api_info_struct[name][Const.OUTPUT] = output_info_list + return api_info_struct + def get_save_file_path(self, suffix): file_format = Const.PT_SUFFIX if self.config.framework == Const.PT_FRAMEWORK else Const.NUMPY_SUFFIX dump_data_name = (self.current_api_or_module_name + Const.SEP + self.api_data_category + Const.SEP + diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index c208df7d90..b28817e4aa 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -74,8 +74,9 @@ class MindsporeDataProcessor(BaseDataProcessor): if data.numel() == 0: return tensor_stat elif data.dtype == ms.bool_: - tensor_stat.max = self.mint_ops_func["max"](data).item() - tensor_stat.min = self.mint_ops_func["min"](data).item() + data_np = data.asnumpy() + tensor_stat.max = np.max(data_np) + tensor_stat.min = np.min(data_np) elif not data.shape: tensor_stat.max = tensor_stat.min = tensor_stat.mean = tensor_stat.norm = data.item() elif data.dtype == ms.complex64 or data.dtype == ms.complex128: diff --git a/debug/accuracy_tools/msprobe/core/grad_probe/constant.py b/debug/accuracy_tools/msprobe/core/grad_probe/constant.py index 38d33e9886..189ec2d11b 100644 --- a/debug/accuracy_tools/msprobe/core/grad_probe/constant.py +++ b/debug/accuracy_tools/msprobe/core/grad_probe/constant.py @@ -39,7 +39,7 @@ class GradConst: DIRECTORY_LENGTH = 4096 FILE_NAME_LENGTH = 255 FILE_VALID_PATTERN = r"^[a-zA-Z0-9_.:/-]+$" - PARAM_VALID_PATTERN = r"^[a-zA-Z0-9.]+$" + PARAM_VALID_PATTERN = r"^[a-zA-Z0-9_.]+$" DIR = "dir" FILE = "file" @@ -53,4 +53,19 @@ class GradConst: SHAPE = "shape" MAX = "max" MIN = "min" - NORM = "norm" \ No newline at end of file + NORM = "norm" + +level_adp = { + "L0": { + "header": [GradConst.MD5, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], + "have_grad_direction": False + }, + "L1": { + "header": [GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], + "have_grad_direction": True + }, + "L2": { + "header": [GradConst.DISTRIBUTION, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], + "have_grad_direction": True + }, + } \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py b/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py index 26cba34f07..22acdf2fbe 100644 --- a/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py +++ b/debug/accuracy_tools/msprobe/core/grad_probe/grad_compare.py @@ -10,7 +10,6 @@ from msprobe.core.common.file_check import create_directory from msprobe.core.common.log import logger from msprobe.core.common.utils import remove_path, write_csv, load_npy from msprobe.core.grad_probe.constant import GradConst -from msprobe.pytorch.common.utils import load_pt class GradComparator: @@ -163,12 +162,8 @@ class GradComparator: @classmethod def _load_grad_files(cls, grad_file1: str, grad_file2: str): - if grad_file1.endswith('pt'): - grad1 = load_pt(grad_file1).numpy() - grad2 = load_pt(grad_file2).numpy() - else: - grad1 = load_npy(grad_file1) - grad2 = load_npy(grad_file2) + grad1 = load_npy(grad_file1) + grad2 = load_npy(grad_file2) if grad1.shape != grad2.shape: raise RuntimeError(f"tensor shape is not equal: {grad_file1}, {grad_file2}") if grad1.dtype != bool: diff --git a/debug/accuracy_tools/msprobe/core/grad_probe/utils.py b/debug/accuracy_tools/msprobe/core/grad_probe/utils.py index 05dd9a568e..f5db74baaf 100644 --- a/debug/accuracy_tools/msprobe/core/grad_probe/utils.py +++ b/debug/accuracy_tools/msprobe/core/grad_probe/utils.py @@ -1,3 +1,8 @@ +import re +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger +from msprobe.core.common.utils import write_csv + def data_in_list_target(data, lst): return not lst or len(lst) == 0 or data in lst @@ -7,3 +12,41 @@ def check_numeral_list_ascend(lst): raise Exception("The input list should only contain numbers") if lst != sorted(lst): raise Exception("The input list should be ascending") + + +def check_param(param_name): + if not re.match(GradConst.PARAM_VALID_PATTERN, param_name): + raise RuntimeError("The parameter name contains special characters.") + + +def check_str(string, variable_name): + if not isinstance(string, str): + raise ValueError(f'The variable: "{variable_name}" is not a string.') + + +class ListCache(list): + threshold = 1000 + + def __init__(self, *args): + super().__init__(*args) + self._output_file = None + + def __del__(self): + self.flush() + + def flush(self): + if len(self) == 0: + return + if not self._output_file: + logger.warning("dumpfile path is not setted") + write_csv(self, self._output_file) + logger.info(f"write {len(self)} items to {self._output_file}.") + self.clear() + + def append(self, data): + list.append(self, data) + if len(self) >= ListCache.threshold: + self.flush() + + def set_output_file(self, output_file): + self._output_file = output_file diff --git a/debug/accuracy_tools/msprobe/mindspore/__init__.py b/debug/accuracy_tools/msprobe/mindspore/__init__.py index 70be414976..3bf42d1e39 100644 --- a/debug/accuracy_tools/msprobe/mindspore/__init__.py +++ b/debug/accuracy_tools/msprobe/mindspore/__init__.py @@ -1,2 +1 @@ from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger -from .compare.distributed_compare import compare_distributed diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py deleted file mode 100644 index ec2773e6de..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor.py +++ /dev/null @@ -1,124 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - -import os - -from msprobe.mindspore.advisor.advisor_result import AdvisorResult -from msprobe.mindspore.advisor.advisor_const import AdvisorConst -from msprobe.mindspore.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.file_check import FileChecker -from msprobe.core.common.const import Const, CompareConst, FileCheckConst - -class Advisor: - """ - Class for generate advisor - """ - - def __init__(self, input_data, out_path=""): - self.input_data = input_data - self.out_path = os.path.realpath(out_path) - self.file_type = None - - @staticmethod - def deterministic_advisor(message, node_name): - for api_name in AdvisorConst.NEED_DETERMINISTIC_API: - if api_name in node_name: - return AdvisorConst.DETERMINISTIC_SUGGEST - return message - - @staticmethod - def batch_norm_advisor(message, node_name): - if AdvisorConst.FUNC_BATCH_NORM in node_name and AdvisorConst.FORWARD_INPUT_1 in node_name: - message = AdvisorConst.BATCH_NORM_SUGGEST - return message - - def analyze_unmatched(self, analyze_data): - if self.file_type == Const.ALL: - accuracy_unmatched = analyze_data[ - analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_UNMATCH] - else: - accuracy_unmatched = analyze_data[(analyze_data[CompareConst.NPU_SHAPE] == CompareConst.NAN) | - (analyze_data[CompareConst.BENCH_SHAPE] == CompareConst.NAN)] - num_unmatch = len(accuracy_unmatched) - if num_unmatch != 0: - for i in range(len(accuracy_unmatched)): - item = accuracy_unmatched.iloc[i] - logger.warning("The tensor name matches but the shape or dtype does not match: {}" - .format(item[CompareConst.NPU_NAME])) - - def gen_advisor_result(self, pd_data): - first_failing_data = pd_data.iloc[0] - node_name = first_failing_data[CompareConst.NPU_NAME] - index = first_failing_data['index'] - message = self.gen_advisor_message(node_name) - logger.warning("Find %s accuracy not reached, the line is %s" % (node_name, index)) - result = AdvisorResult(node_name, index, message) - return result - - def gen_advisor_message(self, node_name): - if AdvisorConst.FORWARD in node_name: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.FORWARD_INPUT_SUGGEST - else: - message = AdvisorConst.FORWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - else: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.BACKWARD_INPUT_SUGGEST - else: - message = AdvisorConst.BACKWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - message = self.batch_norm_advisor(message, node_name) - return message - - def analysis(self): - self._check_path_vaild() - analyze_data = self._parse_input_data() - logger.info("Start analyzing the comparison result: %s" % self.file_type) - self.analyze_unmatched(analyze_data) - if self.file_type == Const.ALL: - failing_data = analyze_data[analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_NO] - elif self.file_type == Const.MD5: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.DIFF] - elif self.file_type == Const.SUMMARY: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.WARNING] - if failing_data.empty: - logger.info("All data from api input/output accuracy reached") - result = AdvisorResult(AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERR_SUGGEST) - else: - result = self.gen_advisor_result(failing_data) - message_list = result.print_advisor_log() - result.gen_summary_file(self.out_path, message_list) - - def _parse_input_data(self): - data_columns = self.input_data.columns.values - if {CompareConst.ACCURACY, CompareConst.NPU_NAME}.issubset(data_columns): - self.file_type = Const.ALL - elif {CompareConst.RESULT, CompareConst.NPU_MD5}.issubset(data_columns): - self.file_type = Const.MD5 - elif {CompareConst.MAX_DIFF, CompareConst.RESULT}.issubset(data_columns): - self.file_type = Const.SUMMARY - else: - logger.error('Compare result does not meet the required conditions.') - raise CompareException(CompareException.INVALID_DATA_ERROR) - df = self.input_data.reset_index() - return df - - def _check_path_vaild(self): - out_path_checker = FileChecker(self.out_path, FileCheckConst.DIR, FileCheckConst.WRITE_ABLE) - out_path_checker.common_check() diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py deleted file mode 100644 index 737c675911..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_const.py +++ /dev/null @@ -1,59 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - - -class AdvisorConst: - """ - Class for advisor const - """ - - # text symbol - NEW_LINE = "\n" - COLON = ": " - - # advisor summary key - SUSPECT_NODES = "Suspect Nodes" - LINE = "Line" - ADVISOR_SUGGEST = "Expert Advice" - - NO_ERROR_API = "NA" - - # advisor message - NO_ERR_SUGGEST = "All data in comparison result meets the accuracy requirements." - FORWARD_INPUT_SUGGEST = "1. Analyze the model to view the input source.\n" \ - "2. Check whether an inplace API causes the output result to overwrite the input result. That is, the fault is actually caused by a computation error.\n" \ - "3. The fault may be caused by memory corruption and further analysis is required." - FORWARD_OUTPUT_SUGGEST = "This is a forward API computation error. Check the computation implementation." - BACKWARD_INPUT_SUGGEST = "Check whether the forward computation result is affected." - BACKWARD_OUTPUT_SUGGEST = "This is a backward API computation error. Check the computation implementation." - BATCH_NORM_SUGGEST = "Torch API batch_norm input not fixed, the following suggestions may fix it:\n" \ - "1. If use torch.nn.functional.batch_norm, you can set parameter training=False.\n" \ - "2. If use torch.nn.BatchNormXXX, you can set parameter affine=False.\n" \ - "3. Use seed_all(mode=True) to enable deterministic computing." - DETERMINISTIC_SUGGEST = "This torch api may be uncertainty in the calculation, " \ - "can seed_all(mode=True) to enable deterministic computing." - - FUNC_BATCH_NORM = "Functional_batch_norm" - FORWARD_INPUT_1 = "forward_input.1" - NEED_DETERMINISTIC_API = ["conv2d", "conv3d", "matmul", "nll_loss", "layer_norm", "lstm"] - BATCH_NORM = "batch_norm" - - # name keyword - INPUT = "input" - OUTPUT = "output" - FORWARD = "forward" - BACKWARD = "backward" diff --git a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py deleted file mode 100644 index 5d59068fc4..0000000000 --- a/debug/accuracy_tools/msprobe/mindspore/advisor/advisor_result.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -import os -import time - -from msprobe.mindspore.advisor.advisor_const import AdvisorConst -from msprobe.mindspore.common.log import logger -from msprobe.core.common.const import Const, FileCheckConst -from msprobe.core.common.file_check import change_mode - - -class AdvisorResult: - """ - Class for generate advisor result - """ - - def __init__(self, node, line, message): - self.suspect_node = node - self.line = line - self.advisor_message = message - - @staticmethod - def gen_summary_file(out_path, message_list): - file_name = 'advisor_{}.txt'.format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))) - result_file = os.path.join(out_path, file_name) - try: - with os.fdopen(os.open(result_file, Const.WRITE_FLAGS, Const.WRITE_MODES), 'w+') as output_file: - output_file.truncate(0) - message_list = [message + AdvisorConst.NEW_LINE for message in message_list] - output_file.writelines(message_list) - change_mode(result_file, FileCheckConst.DATA_FILE_AUTHORITY) - except IOError as io_error: - logger.error("Failed to save %s, the reason is %s." % (result_file, io_error)) - else: - logger.info("The advisor summary is saved in: %s" % result_file) - - def print_advisor_log(self): - logger.info("The summary of the expert advice is as follows: ") - message_list = [AdvisorConst.LINE + AdvisorConst.COLON + str(self.line), - AdvisorConst.SUSPECT_NODES + AdvisorConst.COLON + self.suspect_node, - AdvisorConst.ADVISOR_SUGGEST + AdvisorConst.COLON + self.advisor_message] - for message in message_list: - logger.info(message) - return message_list diff --git a/debug/accuracy_tools/msprobe/mindspore/common/const.py b/debug/accuracy_tools/msprobe/mindspore/common/const.py new file mode 100644 index 0000000000..08bb976493 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/common/const.py @@ -0,0 +1,85 @@ +import numpy as np +import mindspore as ms + + +class Const: + CELL = "cell" + API = "api" + KERNEL = "kernel" + TOOL_LEVEL_DICT = { + "L0": CELL, + "L1": API, + "L2": KERNEL + } + PYNATIVE_MODE = "pynative" + GRAPH_GE_MODE = "graph_ge" + GRAPH_KBYK_MODE = "graph_kbyk" + + +class FreeBenchmarkConst: + DEFAULT_DEVICE = "npu" + DEFAULT_STAGE = "forward" + DEFAULT_DUMP_LEVEL = "L1" + DEFAULT_PERT_TYPE = "improve_precision" + DEFAULT_HANDLER_TYPE = "check" + FIX_HANDLER_MODE = "fix" + ADD_NOISE = "add_noise" + BIT_NOISE = "bit_noise" + NO_CHANGE = "no_change" + IMPROVE_PRECISION = "improve_precision" + CHECK = "check" + FIX = "fix" + DEVICE_LIST = ["npu"] + STAGE_LIST = ["forward"] + DUMP_LEVEL_LIST = ["L1"] + PERT_TYPE_LIST = [IMPROVE_PRECISION, ADD_NOISE, BIT_NOISE, NO_CHANGE] + HANDLER_TYPE_LIST = [CHECK, FIX] + COMMUNICATION_API_LIST = [ + "mindspore.communication.comm_func.all_gather_into_tensor", + "mindspore.communication.comm_func.gather_into_tensor", + "mindspore.communication.comm_func.all_reduce", + "mindspore.communication.comm_func.reduce", + "mindspore.communication.comm_func.reduce_scatter_tensor" + ] + NO_CHANGE_ERROR_THRESHOLD = 1.0 + SYMBOL_FLIPPING_RATIO = 8.0 + OPS_PREFIX = "mindspore.ops." + Tensor_PREFIX = "mindspore.Tensor." + MINT_PREFIX = "mindspore.mint." + MINT_NN_FUNC_PREFIX = "mindspore.mint.nn.functional." + COMM_PREFIX = "mindspore.communication.comm_func." + + API_PREFIX_DICT = { + "ops": OPS_PREFIX, + "Tensor": Tensor_PREFIX, + "mint": MINT_PREFIX, + "mint.nn.functional": MINT_NN_FUNC_PREFIX, + "communication": COMM_PREFIX + } + + PERT_VALUE_DICT = { + ms.bfloat16: 1e-4, + ms.float16: 1e-6, + ms.float32: 1e-8, + ms.float64: 1e-16 + } + + ERROR_THRESHOLD = { + ms.float16: 1.002, + ms.float32: 1.0002 + } + + PERT_BIT_DICT = { + ms.float16: np.int16, + ms.float32: np.int32, + ms.float64: np.int64 + } + + MS_NUMPY_DTYPE_DICT = { + ms.int16: np.int16, + ms.int32: np.int32, + ms.int64: np.int64, + ms.float16: np.float16, + ms.float32: np.float32, + ms.float64: np.float64 + } diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py index 361e957f2c..4a81496573 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/compare_cli.py @@ -4,8 +4,7 @@ from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import ms_compare -from msprobe.mindspore.compare.distributed_compare import compare_distributed - +from msprobe.mindspore.compare.distributed_compare import compare_distributed def compare_cli_ms(args): with FileOpen(args.input_path, "r") as file: diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 94d03f4f21..6f84a69e93 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -15,63 +15,16 @@ # limitations under the License. """ import os -import sys -import re from msprobe.core.common.utils import CompareException, check_compare_param, \ - check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid + check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import create_directory +from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.mindspore.compare.ms_compare import MSComparator +from msprobe.core.compare.utils import check_and_return_dir_contents, extract_json def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): - def check_and_return_dir_contents(dump_dir, prefix): - """ - check the given dump dir and validate files in dump dir by using the given prefix patterns to build a - pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ - - Args: - dump_dir (str): dump dir - prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only - - Returns: - content [list]: dir contents - Raises: - CompareException: invalid path - ValueError: prefix not match the patterns - - """ - check_regex_prefix_format_valid(prefix) - check_file_or_directory_path(dump_dir, True) - contents = os.listdir(dump_dir) - pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') - for name in contents: - if not pattern.match(name): - logger.error( - f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " - f"output. Please check and delete irrelevant files in {dump_dir} and try again." - ) - raise CompareException(CompareException.INVALID_PATH_ERROR) - return contents - - def extract_json(dirname, stack_json=False): - json_path = '' - for fname in os.listdir(dirname): - if fname=="construct.json": continue - full_path = os.path.join(dirname, fname) - if full_path.endswith('.json'): - json_path = full_path - if not stack_json and 'stack' not in json_path: - break - if stack_json and 'stack' in json_path: - break - - # Provide robustness on invalid directory inputs - if not json_path: - logger.error(f'No file is found in dump dir {dirname}. ') - raise CompareException(CompareException.NO_DUMP_FILE_ERROR) - return json_path - if kwargs.get('suffix'): logger.error("Argument 'suffix' is not supported for compare_distributed.") raise CompareException(CompareException.INVALID_PARAM_ERROR) @@ -87,27 +40,26 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): 'or use compare() api and manually match the ranks.') raise CompareException(CompareException.INVALID_PATH_ERROR) for nr, br in zip(npu_ranks, bench_ranks): - n_dir = os.path.join(npu_dump_dir, nr) - b_dir = os.path.join(bench_dump_dir, br) - s_dir = b_dir - npu_json_path = extract_json(n_dir, stack_json=False) - bench_json_path = extract_json(b_dir, stack_json=False) - stack_json_path = extract_json(s_dir, stack_json=True) + npu_data_dir = os.path.join(npu_dump_dir, nr) + bench_data_dir = os.path.join(bench_dump_dir, br) + npu_path = extract_json(npu_data_dir, stack_json=False) + bench_path = extract_json(bench_data_dir, stack_json=False) + stack_path = extract_json(npu_data_dir, stack_json=True) dump_result_param = { - 'npu_json_path': npu_json_path, - 'bench_json_path': bench_json_path, - 'stack_json_path': stack_json_path, + 'npu_path': npu_path, + 'bench_path': bench_path, + 'stack_path': stack_path, 'is_print_compare_log': True } try: summary_compare, md5_compare = task_dumppath_get(dump_result_param) check_configuration_param(stack_mode, auto_analyze, fuzzy_match) create_directory(output_path) - check_compare_param(dump_result_param, output_path, stack_mode=stack_mode, summary_compare=summary_compare) - except CompareException as error: + check_compare_param(dump_result_param, output_path, summary_compare=summary_compare, md5_compare=md5_compare) + except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise CompareException(error.code) from error msComparator=MSComparator() msComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index 34d37b4fe1..be7439cb0e 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -1,27 +1,24 @@ import json -import multiprocessing import os.path -import sys import numpy as np -import pandas as pd from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory -from msprobe.core.common.const import CompareConst, FileCheckConst +from msprobe.core.common.const import FileCheckConst -from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op -from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.utils import get_un_match_accuracy, get_accuracy +from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger from msprobe.core.common.exceptions import FileCheckException class MSComparator (Comparator): - def __init__(self): - super().__init__() + def __init__(self): + self.frame_name=MSComparator.__name__ def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] @@ -59,19 +56,7 @@ class MSComparator (Comparator): ) return _save_cmp_result(idx, cr, result_df, lock) - - - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): - op_data = json_data['data'][op_name] - op_parsed_list = read_op(op_data, op_name) - if op_name in stack_json_data: - op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) - else: - op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) - - merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) - return merge_list - + def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles npu_json_data = json.load(npu_json_handle) @@ -134,42 +119,9 @@ class MSComparator (Comparator): for npu_data in npu_ops_queue: get_un_match_accuracy(result, npu_data, md5_compare, summary_compare) result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) - return result_df - - def make_result_table(self,result,md5_compare,summary_compare,stack_mode): - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - result_df = pd.DataFrame(result, columns=header) - return result_df + return result_df - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e + def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) @@ -180,7 +132,7 @@ class MSComparator (Comparator): if data_value.dtype == np.float16: data_value=data_value.astype(np.float32) - return data_value + return data_value def compare_core(self,input_parma, output_path, **kwargs): """ @@ -226,8 +178,7 @@ class MSComparator (Comparator): if auto_analyze: advisor = Advisor(result_df, output_path) advisor.analysis() - - + def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_param) @@ -236,16 +187,8 @@ def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise CompareException(error.code) from error msComparator=MSComparator() msComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, - md5_compare=md5_compare) - - - - - - - - \ No newline at end of file + md5_compare=md5_compare) \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py b/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py index 23cb7294b8..54f640703c 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/debugger_config.py @@ -1,11 +1,15 @@ import os +from pathlib import Path -from msprobe.core.common.utils import Const -from msprobe.core.common.const import MsConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import Const as MsConst +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.core.common.file_check import FileChecker, FileCheckConst, check_path_before_create class DebuggerConfig: def __init__(self, common_config, task_config): + self.execution_mode = None self.dump_path = common_config.dump_path self.task = common_config.task self.rank = [] if not common_config.rank else common_config.rank @@ -23,6 +27,19 @@ class DebuggerConfig: self.framework = Const.MS_FRAMEWORK self.summary_mode = task_config.summary_mode self.check() + self._make_dump_path_if_not_exists() + + if self.task == Const.FREE_BENCHMARK: + self.pert_type = (FreeBenchmarkConst.DEFAULT_PERT_TYPE + if not task_config.pert_mode else task_config.pert_mode) + self.handler_type = (FreeBenchmarkConst.DEFAULT_HANDLER_TYPE + if not task_config.handler_type else task_config.handler_type) + if self.handler_type == FreeBenchmarkConst.FIX_HANDLER_MODE and \ + self.pert_type != FreeBenchmarkConst.DEFAULT_PERT_TYPE: + raise ValueError("pert_mode must be improve_precision or empty when handler_type is fix, " + f"but got {self.pert_type}.") + self.dump_level = FreeBenchmarkConst.DEFAULT_DUMP_LEVEL + self.stage = FreeBenchmarkConst.DEFAULT_STAGE def check(self): if not self.dump_path: @@ -50,3 +67,10 @@ class DebuggerConfig: for s in self.step: if not isinstance(s, int): raise ValueError(f"step element {s} should be int") + + def _make_dump_path_if_not_exists(self): + check_path_before_create(self.dump_path) + if not os.path.exists(self.dump_path): + Path(self.dump_path).mkdir(mode=0o750, exist_ok=True) + file_check = FileChecker(self.dump_path, FileCheckConst.DIR) + file_check.common_check() diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py index 5475dc3586..0b51efec85 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py @@ -6,13 +6,18 @@ from msprobe.mindspore.service import Service from msprobe.mindspore.ms_config import parse_json_config from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.task_handler_factory import TaskHandlerFactory -from msprobe.core.common.const import MsConst +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import Const as MsConst +from msprobe.mindspore.runtime import Runtime + +from msprobe.mindspore.grad_probe.grad_monitor import GradientMonitor class PrecisionDebugger: _instance = None + task_not_need_service = [Const.GRAD_PROBE] - def __new__(cls, config_path=None): + def __new__(cls, config_path=None, opt=None): if not cls._instance: cls._instance = super().__new__(cls) cls._instance.initialized = False @@ -24,11 +29,18 @@ class PrecisionDebugger: def __init__(self, config_path=None): if self.initialized: return + self.initialized = True if not config_path: config_path = os.path.join(os.path.dirname(__file__), "../../config/config.json") common_config, task_config = parse_json_config(config_path) + self.task = common_config.task + if self.task == Const.GRAD_PROBE: + self.gm = GradientMonitor(common_config, task_config) + return self.config = DebuggerConfig(common_config, task_config) - self.initialized = True + + Runtime.step_count = 0 + Runtime.is_running = False @staticmethod def _get_execution_mode(): @@ -41,35 +53,56 @@ class PrecisionDebugger: return MsConst.PYNATIVE_MODE @classmethod - def start(cls): + def start(cls, target=None): instance = cls._instance if not instance: raise Exception("No instance of PrecisionDebugger found.") + if instance.task in PrecisionDebugger.task_not_need_service: + return instance.config.execution_mode = instance._get_execution_mode() - if instance.config.execution_mode == MsConst.PYNATIVE_MODE and instance.config.level == MsConst.API: + if instance.config.execution_mode == MsConst.PYNATIVE_MODE and instance.config.level == MsConst.API and \ + instance.config.task != Const.FREE_BENCHMARK: if not instance.service: instance.service = Service(instance.config) - instance.service.start() + instance.service.start(target) else: if not instance.first_start: handler = TaskHandlerFactory.create(instance.config) handler.handle() instance.first_start = True + Runtime.is_running = True @classmethod def stop(cls): instance = cls._instance if not instance: raise Exception("PrecisionDebugger instance is not created.") + if instance.task == Const.GRAD_PROBE: + instance.gm.stop() + if instance.task in PrecisionDebugger.task_not_need_service: + return if instance.service: instance.service.stop() + Runtime.is_running = False @classmethod def step(cls): instance = cls._instance if not instance: raise Exception("PrecisionDebugger instance is not created.") + if instance.task in PrecisionDebugger.task_not_need_service: + return if instance.service: instance.service.step() + Runtime.step_count += 1 + + @classmethod + def monitor(cls, opt): + instance = cls._instance + if not instance: + raise Exception("PrecisionDebugger instance is not created.") + if instance.task != Const.GRAD_PROBE: + return + instance.gm.monitor(opt) diff --git a/debug/accuracy_tools/msprobe/mindspore/doc/dump.md b/debug/accuracy_tools/msprobe/mindspore/doc/dump.md index 425d0683a2..ef2431b9c1 100644 --- a/debug/accuracy_tools/msprobe/mindspore/doc/dump.md +++ b/debug/accuracy_tools/msprobe/mindspore/doc/dump.md @@ -35,10 +35,18 @@ PrecisionDebugger(config_path=None) **原型** ```Python -debugger.start() +debugger.start(model = None) ``` -该函数为类函数，可以使用debugger.start()也可以使用PrecisionDebugger.start()。 +该函数为类函数，可以使用debugger.start(model = None)也可以使用PrecisionDebugger.start(model = None) + + +**参数说明** + +| 参数名 | 说明 | 是否必选 | +| ----------- |---------------------------------------------------------------------------------------| -------- | +| model | 指具体的mindspore.nn.Cell，默认未配置，L1级别下传入model可以使能对primitive op的dump，否则无法dump primitive op。 | 否 | + ## 示例代码 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py new file mode 100644 index 0000000000..bcfa31520d --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/api_pynative_self_check.py @@ -0,0 +1,116 @@ +import os +import inspect +import importlib + +import yaml +import mindspore as ms +from mindspore.communication import comm_func + +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.core.common.file_check import check_path_length, FileOpen +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from msprobe.mindspore.free_benchmark.decorator.decorator_factory import decorate_forward_function + + +class ApiPyNativeSelFCheck: + def __init__(self, config: DebuggerConfig): + Config.is_enable = True + Config.handler_type = config.handler_type + Config.pert_type = config.pert_type + Config.stage = config.stage + Config.dump_level = config.dump_level + Config.steps = config.step + Config.ranks = config.rank + Config.dump_path = os.path.join(config.dump_path, "free_benchmark.csv") + check_path_length(Config.dump_path) + + self.api_list = config.list + all_api = get_supported_ops() + if not self.api_list: + self.api_list = all_api + else: + self.api_list = set(self.api_list) & all_api + + def handle(self): + for api_name in self.api_list: + hijack(api_name) + + +def get_supported_ops(): + supported_ops = [] + cur_path = os.path.dirname(os.path.realpath(__file__)) + yaml_path = os.path.join(cur_path, "data", "support_wrap_ops.yaml") + + for k, v in FreeBenchmarkConst.API_PREFIX_DICT.items(): + with FileOpen(yaml_path, 'r') as f: + ops = yaml.safe_load(f).get(k) + if ops: + ops = [v + i for i in ops] + supported_ops += ops + + _all_functional_ops = [] + ms_ops = dir(ms.ops) + ms_ops = [FreeBenchmarkConst.OPS_PREFIX + i for i in ms_ops] + _all_functional_ops += ms_ops + + ms_tensor = dir(ms.Tensor) + ms_tensor = [FreeBenchmarkConst.Tensor_PREFIX + i for i in ms_tensor] + _all_functional_ops += ms_tensor + + ms_mint = dir(ms.mint) + ms_mint = [FreeBenchmarkConst.MINT_PREFIX + i for i in ms_mint] + _all_functional_ops += ms_mint + + ms_mint_nn_func = dir(ms.mint.nn.functional) + ms_mint_nn_func = [FreeBenchmarkConst.MINT_NN_FUNC_PREFIX + i for i in ms_mint_nn_func] + _all_functional_ops += ms_mint_nn_func + + ms_communication = dir(comm_func) + ms_communication = [FreeBenchmarkConst.COMM_PREFIX + i for i in ms_communication] + _all_functional_ops += ms_communication + + return set(supported_ops) & set(_all_functional_ops) + + +def get_decorate_func(): + return decorate_forward_function + + +def is_func_support_decorate(orig_func): + return not inspect.isclass(orig_func) and callable(orig_func) + + +def get_wrapper_obj(orig_func, api_name): + if is_func_support_decorate(orig_func): + wrapped_obj = get_decorate_func()(orig_func, api_name) + else: + wrapped_obj = orig_func + return wrapped_obj + + +def get_module(api_name): + func_name_list = api_name.split(Const.SEP) + func_name = func_name_list[-1] + module_obj = importlib.import_module(func_name_list[0]) + for i, module_name in enumerate(func_name_list[1:-1]): + if not hasattr(module_obj, module_name): + importlib.import_module(f"{Const.SEP.join(func_name_list[:i+2])}") + module_obj = getattr(module_obj, module_name) + orig_func = getattr(module_obj, func_name) + + return module_obj, orig_func + + +def hijack(api_name): + if not api_name.strip(): + return + try: + func_name = api_name.split(Const.SEP)[-1] + module_obj, origin_func = get_module(api_name) + wrapped_obj = get_wrapper_obj(origin_func, api_name) + setattr(module_obj, func_name, wrapped_obj) + except Exception as e: + logger.error(f"Failed decorator {api_name}: {e}") diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py new file mode 100644 index 0000000000..85f684d816 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/config.py @@ -0,0 +1,12 @@ +from msprobe.mindspore.common.const import FreeBenchmarkConst + + +class Config: + is_enable: bool = False + handler_type = FreeBenchmarkConst.DEFAULT_HANDLER_TYPE + pert_type = FreeBenchmarkConst.DEFAULT_PERT_TYPE + stage = FreeBenchmarkConst.DEFAULT_STAGE + dump_level = FreeBenchmarkConst.DEFAULT_DUMP_LEVEL + steps: list = [] + ranks: list = [] + dump_path: str = "" diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py new file mode 100644 index 0000000000..ae1733b986 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/handler_params.py @@ -0,0 +1,17 @@ +from typing import Optional, Any, Tuple, Dict, Callable + + +class HandlerParams: + """ + 参数结合体 + + """ + args: Optional[Tuple] = None + kwargs: Optional[Dict] = None + index: Optional[int] = None + original_result: Optional[Any] = None + fuzzed_result: Optional[Any] = None + is_consistent: Optional[bool] = True + save_flag: Optional[bool] = True + fuzzed_value: Optional[Any] = None + original_func: Optional[Callable] = None diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py new file mode 100644 index 0000000000..3bb062800b --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/common/utils.py @@ -0,0 +1,71 @@ +from typing import Any +from typing import Optional +from dataclasses import dataclass + +import mindspore as ms +from mindspore import Tensor + +from msprobe.mindspore.runtime import Runtime +from msprobe.mindspore.common.const import FreeBenchmarkConst +from .config import Config +from .handler_params import HandlerParams + + +class Tools: + + @staticmethod + def get_first_tensor_dtype(tensor_seq: Any): + if isinstance(tensor_seq, Tensor): + return tensor_seq.dtype + if isinstance(tensor_seq, (list, tuple)): + for i in tensor_seq: + if isinstance(i, Tensor): + return i.dtype + raise Exception("The sequence does not contain tensors.") + + @staticmethod + def get_default_error_threshold(dtype): + if Config.pert_type == FreeBenchmarkConst.NO_CHANGE: + return FreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return FreeBenchmarkConst.ERROR_THRESHOLD.get(dtype, FreeBenchmarkConst.ERROR_THRESHOLD.get(ms.float32)) + + +@dataclass +class UnequalRow: + rank: Optional[int] = None + pert_type: Optional[str] = None + stage: Optional[str] = None + step: Optional[int] = None + api_name: Optional[str] = None + max_rel: Optional[float] = None + dtype: Optional[str] = None + shape: Optional[str] = None + output_index: Optional[int] = None + + +def make_unequal_row( + api_name: str, + params: HandlerParams, + ratio: float = None, + index: int = None, +): + row = UnequalRow( + api_name=api_name, + pert_type=Config.pert_type, + output_index=index, + stage=Config.stage, + step=Runtime.step_count + ) + if isinstance(ratio, float): + row.max_rel = ratio - 1 + original_tensor = params.original_result + fuzzed_tensor = params.fuzzed_result + if index: + original_tensor = original_tensor[index] + fuzzed_tensor = fuzzed_tensor[index] + row.output_index = index + if isinstance(original_tensor, Tensor): + row.dtype = original_tensor.dtype + row.shape = original_tensor.shape + row.rank = Runtime.rank_id if Runtime.rank_id != -1 else None + return row diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml new file mode 100644 index 0000000000..cc802d3814 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/data/support_wrap_ops.yaml @@ -0,0 +1,842 @@ +# List of apis that support self check + +communication: + - all_gather_into_tensor + - gather_into_tensor + - all_reduce + - reduce + - reduce_scatter_tensor + +ops: + - adaptive_avg_pool1d + - adaptive_avg_pool2d + - adaptive_avg_pool3d + - adaptive_max_pool1d + - adaptive_max_pool2d + - avg_pool1d + - avg_pool2d + - avg_pool3d + - batch_norm + - bias_add + - ctc_greedy_decoder + - conv1d + - conv2d + - conv3d + - deformable_conv2d + - dense + - dropout + - dropout1d + - dropout2d + - dropout3d + - flatten + - fold + - fractional_max_pool3d + - lp_pool1d + - lp_pool2d + - lrn + - max_pool2d + - max_pool3d + - max_unpool1d + - max_unpool2d + - max_unpool3d + - unfold + - binary_cross_entropy + - binary_cross_entropy_with_logits + - cosine_embedding_loss + - cross_entropy + - ctc_loss + - gaussian_nll_loss + - hinge_embedding_loss + - huber_loss + - kl_div + - l1_loss + - margin_ranking_loss + - mse_loss + - multi_margin_loss + - multilabel_margin_loss + - multilabel_soft_margin_loss + - nll_loss + - smooth_l1_loss + - triplet_margin_loss + - elu + - fast_gelu + - gelu + - glu + - gumbel_softmax + - hardshrink + - hardsigmoid + - hardswish + - hardtanh + - leaky_relu + - log_softmax + - logsigmoid + - mish + - prelu + - relu + - relu6 + - rrelu + - selu + - sigmoid + - silu + - softmax + - softmin + - softshrink + - softsign + - tanh + - threshold + - cdist + - dist + - pdist + - choice_with_mask + - random_categorical + - log_uniform_candidate_sampler + - uniform_candidate_sampler + - affine_grid + - bounding_box_decode + - bounding_box_encode + - col2im + - check_valid + - crop_and_resize + - grid_sample + - interpolate + - iou + - pad + - padding + - pixel_shuffle + - pixel_unshuffle + - upsample + - abs + - absolute + - accumulate_n + - acos + - arccos + - acosh + - add + - addcdiv + - addcmul + - addmv + - addn + - angle + - arccosh + - arcsin + - arcsinh + - arctan + - arctanh + - arctan2 + - asin + - asinh + - atan + - atan2 + - atanh + - atleast_1d + - atleast_2d + - atleast_3d + - bessel_i0 + - bessel_i0e + - bessel_i1 + - bessel_i1e + - bessel_j0 + - bessel_j1 + - bessel_k0 + - bessel_k0e + - bessel_k1 + - bessel_k1e + - bessel_y0 + - bessel_y1 + - bitwise_and + - bitwise_left_shift + - bitwise_or + - bitwise_right_shift + - bitwise_xor + - ceil + - clamp + - clip + - combinations + - copysign + - cos + - cosh + - cosine_similarity + - cov + - diag_embed + - diff + - deg2rad + - digamma + - div + - divide + - erf + - erfc + - erfinv + - exp + - exp2 + - expm1 + - floor + - floor_div + - floor_mod + - float_power + - fmod + - frac + - gcd + - hypot + - igamma + - igammac + - imag + - i0 + - inv + - invert + - lcm + - ldexp + - lerp + - log + - log2 + - log10 + - log1p + - logaddexp + - logaddexp2 + - logical_and + - logical_not + - logical_or + - logical_xor + - logit + - mul + - multiply + - mvlgamma + - neg + - negative + - nextafter + - polar + - polygamma + - positive + - pow + - rad2deg + - ravel + - real + - reciprocal + - remainder + - rot90 + - round + - rsqrt + - sgn + - sign + - signbit + - sin + - sinc + - sinh + - sqrt + - square + - sub + - subtract + - t + - tan + - tanhshrink + - trapz + - tril_indices + - triu_indices + - true_divide + - trunc + - truncate_div + - truncate_mod + - xdivy + - xlogy + - zeta + - all + - amax + - amin + - aminmax + - any + - argmax + - argmin + - cummax + - cummin + - cumprod + - cumsum + - fmax + - histc + - logsumexp + - max + - mean + - median + - min + - norm + - prod + - std + - std_mean + - var + - var_mean + - argsort + - approximate_equal + - equal + - ge + - greater + - greater_equal + - gt + - intopk + - isclose + - isfinite + - isinf + - isnan + - isneginf + - isposinf + - isreal + - le + - less + - less_equal + - lt + - maximum + - minimum + - msort + - ne + - not_equal + - searchsorted + - topk + - bmm + - addbmm + - addmm + - baddbmm + - addr + - adjoint + - cholesky + - cholesky_solve + - batch_dot + - dot + - eig + - inner + - inverse + - geqrf + - ger + - kron + - lu_solve + - lu_unpack + - matmul + - matrix_solve + - matrix_band_part + - matrix_diag + - matrix_diag_part + - matrix_set_diag + - mm + - mv + - outer + - orgqr + - ormqr + - pinv + - svd + - tensor_dot + - logdet + - slogdet + - qr + - trace + - bartlett_window + - blackman_window + - hamming_window + - hann_window + - kaiser_window + - eye + - fill + - full + - full_like + - linspace + - logspace + - one_hot + - arange + - range + - heaviside + - bernoulli + - gamma + - laplace + - multinomial + - multinomial_with_replacement + - rand + - rand_like + - randint + - randint_like + - randn + - randn_like + - random_gamma + - random_poisson + - randperm + - standard_laplace + - standard_normal + - uniform + - argwhere + - batch_to_space_nd + - bincount + - block_diag + - broadcast_to + - cat + - channel_shuffle + - chunk + - column_stack + - concat + - conj + - count_nonzero + - deepcopy + - diag + - diagflat + - diagonal + - dyn_shape + - dsplit + - dstack + - einsum + - expand + - expand_dims + - flip + - fliplr + - flipud + - gather_d + - gather_elements + - gather_nd + - hsplit + - hstack + - masked_fill + - masked_select + - meshgrid + - moveaxis + - movedim + - narrow + - nan_to_num + - nansum + - normal + - nonzero + - population_count + - rank + - repeat_elements + - repeat_interleave + - reshape + - reverse + - reverse_sequence + - roll + - select + - sequence_mask + - shuffle + - size + - slice + - sort + - space_to_batch_nd + - sparse_segment_mean + - split + - squeeze + - stack + - strided_slice + - sum + - swapaxes + - swapdims + - tensor_split + - tile + - tril + - triu + - transpose + - unbind + - unique + - unique_consecutive + - unique_with_pad + - unsorted_segment_max + - unsorted_segment_min + - unsorted_segment_prod + - unsorted_segment_sum + - unsqueeze + - unstack + - view_as_real + - vsplit + - vstack + - where + - cross + - renorm + - tuple_to_array + - clip_by_global_norm + - clip_by_value + - derivative + - jet + +Tensor: + - __abs__ + - __add__ + - __and__ + - __iadd__ + - __ifloordiv__ + - __imatmul__ + - __imod__ + - __imul__ + - __isub__ + - __matmul__ + - __mod__ + - __mul__ + - __neg__ + - __or__ + - __pow__ + - __radd__ + - __rmatmul__ + - __rmod__ + - __rmul__ + - __rpow__ + - __rsub__ + - __sub__ + - __truediv__ + - __xor__ + - abs + - absolute + - acos + - acosh + - add + - addbmm + - addcdiv + - addcmul + - addmm + - addmv + - addr + - all + - amax + - amin + - any + - arccos + - arccosh + - argmax + - angle + - arcsin + - arcsinh + - arctan + - arctanh + - argmin + - argsort + - asin + - asinh + - atan + - atan2 + - atanh + - baddbmm + - bernoulli + - bincount + - bitwise_and + - bitwise_or + - bitwise_xor + - bmm + - broadcast_to + - ceil + - cholesky_solve + - cholesky + - clamp + - clip + - conj + - copysign + - cos + - cosh + - cross + - cummax + - cummin + - cumprod + - cumsum + - deg2rad + - diag + - diagflat + - diff + - digamma + - div + - divide + - equal + - erf + - erfc + - erfinv + - exp + - expand_as + - expm1 + - flip + - fliplr + - flipud + - float_power + - floor + - fmod + - frac + - gather_elements + - geqrf + - ger + - greater + - greater_equal + - half + - hardshrink + - heaviside + - histc + - hypot + - i0 + - igamma + - igammac + - imag + - index_add + - index_fill + - index_put + - index_select + - inner + - int + - inverse + - item + - lcm + - ldexp + - lerp + - log + - log10 + - log1p + - log2 + - logaddexp + - logaddexp2 + - logdet + - logical_and + - logical_not + - logical_or + - logical_xor + - logit + - logsumexp + - long + - masked_fill + - masked_scatter + - masked_select + - matmul + - max + - maximum + - mean + - median + - min + - minimum + - moveaxis + - movedim + - msort + - multinomial + - multiply + - mvlgamma + - nan_to_num + - nansum + - narrow + - neg + - negative + - nelement + - new_ones + - new_zeros + - nextafter + - norm + - nonzero + - not_equal + - ormqr + - permute + - pow + - prod + - qr + - ravel + - real + - reciprocal + - remainder + - renorm + - rad2deg + - tile + - repeat_interleave + - reshape + - reshape + - round + - rot90 + - rsqrt + - sum_to_size + - scatter + - sgn + - short + - sigmoid + - sign + - signbit + - sin + - sinc + - sinh + - slogdet + - sort + - split + - sqrt + - square + - squeeze + - std + - subtract + - subtract + - svd + - swapaxes + - swapdims + - t + - take + - tan + - tanh + - trace + - swapaxes + - tile + - topk + - tril + - tensor_split + - transpose + - true_divide + - trunc + - unbind + - unique_consecutive + - unsqueeze + - var + - view + - where + - xlogy + - from_numpy + - std + - take + - var + - all + - any + - copy + - diagonal + - flatten + - resize + - sum + +mint: + - abs + - absolute_import + - add + - add_ex + - all + - any + - any_ex + - arange + - argmax + - avg_pool2d + - baddbmm + - baddbmm_ex + - batch_norm + - binary_cross_entropy_with_logits + - bitwise_and + - bitwise_or + - bitwise_xor + - bmm + - broadcast_to + - cat + - cat_ex + - ceil + - chunk + - clamp + - conv2d + - conv_transpose2d + - cos + - cross + - cummax + - cummin + - cumsum + - div + - divide + - dropout + - embedding + - eq + - erf + - erfinv + - exp + - flatten + - flip + - flip_ex + - fold + - full + - gather + - gelu + - greater + - grid_sample + - group_norm + - gt + - index_select + - interpolate + - isclose + - isfinite + - layer_norm + - le + - leaky_relu + - less + - less_equal + - linear + - linspace + - log + - logical_and + - logical_not + - logical_or + - lt + - masked_select + - matmul + - max + - max_pool2d + - maximum + - mean + - mean_ex + - min + - minimum + - mul + - ne + - neg + - negative + - nonzero + - normal + - one_hot + - ones + - ones_ex + - ones_like + - pad + - permute + - permute_ex + - pow + - prod + - reciprocal + - relu + - remainder + - repeat_interleave + - rsqrt + - searchsorted + - sigmoid + - silu + - sin + - softmax + - softplus + - sort + - split + - sqrt + - sqrt_ex + - square + - stack + - sub + - sub_ex + - sum + - tanh + - tile + - topk + - tril + - triu + - unfold + - unique + - where + - xlogy + - zeros + - zeros_ex + - zeros_like + +mint.nn.functional: + - absolute_import + - avg_pool2d + - batch_norm + - batch_norm_ex + - bce_with_logits + - binary_cross_entropy_with_logits + - conv_transpose2d + - dense + - dropout + - embedding + - fold + - gelu + - grid_sample + - group_norm + - interpolate + - layer_norm + - leaky_relu + - linear + - max_pool2d + - max_pool2d_ex + - normal + - one_hot + - one_hot_ext + - pad + - relu + - sigmoid + - silu + - softmax + - softmax_ex + - softplus + - tanh + - unfold diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py new file mode 100644 index 0000000000..78661d7fca --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/dec_forward.py @@ -0,0 +1,42 @@ +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.free_benchmark.handler.handler_factory import HandlerFactory +from msprobe.mindspore.free_benchmark.perturbation.perturbation_factory import PerturbationFactory + + +class ForwardSelfChecker: + + def __init__(self, api_name: str): + self.api_name = api_name + + def handle(self, params: HandlerParams): + """ + 装饰器实际执行逻辑 + + """ + perturbation = PerturbationFactory.create(self.api_name) + params.fuzzed_result = perturbation.handle(params) + params.original_result = params.original_func(*params.args, **params.kwargs) + if params.fuzzed_result is not False: + return self.deal_fuzzed_and_original_result(params) + return params.original_result + + def get_compare_data(self, params: HandlerParams): + if self.api_name not in FreeBenchmarkConst.COMMUNICATION_API_LIST: + return + # 以下为通讯类api处理逻辑 + params.fuzzed_result = params.fuzzed_value + if Config.pert_type == FreeBenchmarkConst.IMPROVE_PRECISION: + params.original_result = params.args + else: + params.original_result = params.args[params.index] + + def deal_fuzzed_and_original_result(self, params: HandlerParams): + original_result = params.original_result + self.get_compare_data(params) + handler = HandlerFactory.create(self.api_name) + result = handler.handle(params) + if self.api_name in FreeBenchmarkConst.COMMUNICATION_API_LIST: + result = original_result + return result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py new file mode 100644 index 0000000000..c1cf50e9c3 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/decorator/decorator_factory.py @@ -0,0 +1,107 @@ +import os +import sys +import traceback +from functools import wraps +from typing import Tuple, Dict, List + +from mindspore import ops + +from msprobe.mindspore.runtime import Runtime +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from .dec_forward import ForwardSelfChecker + + +def decorate(original_func, decorate_func, api_name=None): + """ + 总装饰器 + """ + @wraps(original_func) + def fuzz_wrapper(*args, **kwargs): + + def __exec_decorate_func(): + params = data_pre_deal(api_name, original_func, *args, **kwargs) + result = decorate_func(params) + return result + + try: + if Runtime.rank_id == -1: + Runtime.rank_id = os.environ.get("RANK_ID", -1) + if need_wrapper_func(): + logger.info(f"[{api_name}] is checking.") + return __exec_decorate_func() + except Exception as e: + logger.error(f"[{api_name}] Error: {str(e)}") + logger.error(f"[{api_name}] Error detail: {traceback.format_exc()}") + + return original_func(*args, **kwargs) + + return fuzz_wrapper + + +def decorate_forward_function(func, api_name=None): + """ + 前向装饰器 + """ + + if not api_name: + api_name = func.__name__ + + def forward_func(params: HandlerParams): + forward = ForwardSelfChecker(api_name) + result = forward.handle(params) + return result + + return decorate(func, forward_func, api_name) + + +def stack_depth_check() -> bool: + nested_depth = 1 + frame = sys._getframe(1) + while frame: + if frame.f_code.co_name == "fuzz_wrapper": + nested_depth -= 1 + if nested_depth < 0: + return False + frame = frame.f_back + return True + + +def get_target_arg_index(args: Tuple) -> int: + """ + 类型校验 + + """ + for i, arg in enumerate(args): + if ops.is_tensor(arg): + if not ops.is_floating_point(arg): + continue + return i + if isinstance(arg, (List, Tuple, Dict)): + return i + return -1 + + +def data_pre_deal(api_name, func, *args, **kwargs): + params = HandlerParams() + params.args = args + params.kwargs = kwargs + params.original_func = func + index = get_target_arg_index(args) + if index == -1: + raise Exception(f"{api_name} has no supported input type") + params.index = index + return params + + +def need_wrapper_func(): + if not (Runtime.is_running and Config.is_enable): + return False + if not stack_depth_check(): + return False + if Config.steps and Runtime.step_count not in Config.steps: + return False + if Config.ranks and Runtime.rank_id != -1 and Runtime.rank_id not in Config.ranks: + return False + return True diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/__init__.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py new file mode 100644 index 0000000000..f35d23498d --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/base_handler.py @@ -0,0 +1,90 @@ +import math +from abc import ABC, abstractmethod +from typing import Any, Tuple, Optional + +import mindspore as ms +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.utils import Tools +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class BaseHandler(ABC): + + def __init__(self, api_name: str): + self.api_name = api_name + + @staticmethod + def pre_calculate(original_output, fuzzed_output): + abs_tol = FreeBenchmarkConst.PERT_VALUE_DICT.get(fuzzed_output.dtype, + FreeBenchmarkConst.PERT_VALUE_DICT.get(ms.float32)) + + return original_output.to(fuzzed_output.dtype), fuzzed_output, abs_tol + + @staticmethod + def get_threshold(dtype): + err = Tools.get_default_error_threshold(dtype) + return err + + @staticmethod + def convert_overflow_ratio_to_consistent(ratio): + if math.isnan(ratio) or math.isinf(ratio): + return FreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + return ratio + + @staticmethod + def get_endless_norm(first_tensor, second_tensor, abs_tol): + if first_tensor.dtype != ms.bfloat16 and second_tensor.dtype != ms.bfloat16: + ratio_tensor1 = ops.where(ops.abs(second_tensor) > abs_tol, ops.div(first_tensor, second_tensor), 1) + ratio_tensor2 = ops.where(ops.abs(first_tensor) > abs_tol, ops.div(second_tensor, first_tensor), 1) + else: + ratio_tensor1 = ops.where(ops.abs(second_tensor).to(ms.float32) > abs_tol, + ops.div(first_tensor.to(ms.float32), second_tensor.to(ms.float32)), 1) + ratio_tensor2 = ops.where(ops.abs(first_tensor).to(ms.float32) > abs_tol, + ops.div(second_tensor.to(ms.float32), first_tensor.to(ms.float32)), 1) + norm1 = BaseHandler.convert_overflow_ratio_to_consistent(ops.max(ratio_tensor1)[0].to(ms.float32).item()) + norm2 = BaseHandler.convert_overflow_ratio_to_consistent(ops.max(ratio_tensor2)[0].to(ms.float32).item()) + norm3 = BaseHandler.convert_overflow_ratio_to_consistent(ops.min(ratio_tensor1)[0].to(ms.float32).item()) + ratio = FreeBenchmarkConst.SYMBOL_FLIPPING_RATIO if norm3 < 0 else max(norm1, norm2) + + return ratio + + @staticmethod + def ratio_calculate(original_output, fuzzed_output) -> float: + try: + original_output, fuzzed_output, abs_tol = BaseHandler.pre_calculate(original_output, fuzzed_output) + except Exception as e: + logger.error(f"When computing ratio, y1 or y2 dtype is not supported {str(e)}") + return FreeBenchmarkConst.NO_CHANGE_ERROR_THRESHOLD + + abs_tol = abs_tol ** 0.5 + + return BaseHandler.get_endless_norm(original_output, fuzzed_output, abs_tol) + + @staticmethod + def npu_compare(original_output, fuzzed_output) -> Tuple[bool, Optional[float]]: + if not isinstance(fuzzed_output, Tensor): + logger.error(f"The compare for output type `{type(fuzzed_output)}` is not supported") + return True, 1.0 + + # 范数计算等 + err_thd = BaseHandler.get_threshold(original_output.dtype) + ratio = BaseHandler.ratio_calculate(original_output, fuzzed_output) + is_consistent = err_thd >= ratio >= 1.0 / err_thd + return is_consistent, ratio + + @staticmethod + def is_float_tensor(output) -> bool: + if isinstance(output, Tensor) and ops.is_floating_point(output): + return True + if isinstance(output, (list, tuple)): + for i in output: + if isinstance(i, Tensor) and ops.is_floating_point(i): + return True + return False + + @abstractmethod + def handle(self, params: HandlerParams) -> Any: + pass diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py new file mode 100644 index 0000000000..df80e76c0e --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/check_handler.py @@ -0,0 +1,41 @@ +from typing import Any +from dataclasses import asdict + +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.mindspore.free_benchmark.handler.base_handler import BaseHandler +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.free_benchmark.common.utils import make_unequal_row +from msprobe.core.data_dump.json_writer import DataWriter + + +class CheckHandler(BaseHandler): + + def npu_compare_and_save(self, original_output, fuzzed_output, params: HandlerParams, output_index=None): + is_consistent, ratio = self.npu_compare(original_output, fuzzed_output) + params.is_consistent = params.is_consistent and is_consistent + if not is_consistent: + row = make_unequal_row(self.api_name, params, ratio, output_index) + data_dict = asdict(row) + DataWriter.write_data_to_csv( + data_dict.values(), + data_dict.keys(), + Config.dump_path + ) + logger.error(f"{self.api_name} is not consistent") + + def handle(self, params: HandlerParams) -> Any: + try: + if not self.is_float_tensor(params.fuzzed_result): + return params.original_result + if isinstance(params.fuzzed_result, Tensor): + self.npu_compare_and_save(params.original_result, params.fuzzed_result, params) + elif isinstance(params.fuzzed_result, (list, tuple)): + for i, item in enumerate(params.original_result): + if ops.is_tensor(item) and ops.is_floating_point(item): + self.npu_compare_and_save(item, params.fuzzed_result[i], params, output_index=i) + except Exception as e: + logger.error(str(e)) + return params.original_result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py new file mode 100644 index 0000000000..2c377ba896 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/fix_handler.py @@ -0,0 +1,36 @@ +from typing import Any + +from mindspore import Tensor + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class FixHandler: + + def __init__(self, api_name: str): + self.api_name = api_name + + @staticmethod + def use_fuzzed_result(original_result, fuzzed_result): + if isinstance(original_result, Tensor): + return fuzzed_result.to(original_result.dtype) + if isinstance(original_result, dict): + dict_fixed_result = dict() + for k, v in original_result.items(): + dict_fixed_result[k] = FixHandler.use_fuzzed_result(v, fuzzed_result[k]) + return dict_fixed_result + if isinstance(original_result, (tuple, list)): + list_fixed_result = list() + for i, v in enumerate(original_result): + list_fixed_result.append(FixHandler.use_fuzzed_result(v, fuzzed_result[i])) + return type(original_result)(list_fixed_result) + return original_result + + def handle(self, params: HandlerParams) -> Any: + try: + return FixHandler.use_fuzzed_result(params.original_result, params.fuzzed_result) + except Exception as e: + logger.error(f"{self.api_name} failed to fix.") + logger.error(str(e)) + return params.original_result diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py new file mode 100644 index 0000000000..bf8c681e54 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/handler/handler_factory.py @@ -0,0 +1,21 @@ +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.common.config import Config +from msprobe.mindspore.common.const import FreeBenchmarkConst +from .check_handler import CheckHandler +from .fix_handler import FixHandler + + +class HandlerFactory: + result_handlers = { + FreeBenchmarkConst.CHECK: CheckHandler, + FreeBenchmarkConst.FIX: FixHandler, + } + + @staticmethod + def create(api_name: str): + handler = HandlerFactory.result_handlers.get(Config.handler_type) + if handler: + return handler(api_name) + else: + logger.error(f"{Config.handler_type} is not supported.") + raise Exception diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py new file mode 100644 index 0000000000..2764d3d490 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/add_noise.py @@ -0,0 +1,67 @@ +from typing import Any + +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.common.const import FreeBenchmarkConst + + +class AddNoisePerturbation(BasePerturbation): + + def handle(self, params: HandlerParams) -> Any: + """ + 返回增加扰动后的api输出 + + """ + params.fuzzed_value = self.add_noise(params.args[params.index]) + if not self.is_fuzzed: + logger.warning(f"{self.api_name} can not add noise.") + return False + return self.get_fuzzed_result(params) + + def add_noise(self, inputs) -> Any: + """ + 返回增加扰动后的api输入 + + """ + if isinstance(inputs, Tensor): + noise = self._get_noise(inputs) + if noise is not False: + result = ops.where(ops.abs(inputs) > self.perturbation_value ** 0.5, + ops.add(noise, inputs), inputs) + result = result.type(dtype=inputs.dtype) + self.is_fuzzed = True + return result + + if isinstance(inputs, dict): + return {k: self.add_noise(v) for k, v in inputs.items()} + + if isinstance(inputs, (list, tuple)): + return [self.add_noise(v) for v in inputs] + + return inputs + + def _get_noise(self, input): + """ + 得到要添加的噪声值 + + """ + if self.is_fuzzed: + return False + if not ops.is_floating_point(input) or ops.numel(input) == 0: + return False + + pert_value = FreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) + if not pert_value: + return False + else: + self.perturbation_value = pert_value + + max_val = ops.max(ops.abs(input))[0].item() + if max_val < pert_value: + return False + + noise = ops.full(input.shape, self.perturbation_value, dtype=input.dtype) + return noise diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py new file mode 100644 index 0000000000..becfe2964a --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/base_perturbation.py @@ -0,0 +1,21 @@ +from typing import Any + +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class BasePerturbation: + + def __init__(self, api_name: str): + self.api_name = api_name + self.is_fuzzed = False + self.perturbation_value = None + + @staticmethod + def get_fuzzed_result(params: HandlerParams): + args_front = params.args[:params.index] + args_rear = params.args[params.index + 1:] + fuzzed_result = params.original_func(*args_front, params.fuzzed_value, *args_rear, **params.kwargs) + return fuzzed_result + + def handler(self, params: HandlerParams) -> Any: + pass diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py new file mode 100644 index 0000000000..65202e0f66 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/bit_noise.py @@ -0,0 +1,63 @@ +from typing import Any + +import numpy as np +from mindspore import Tensor, ops + +from msprobe.mindspore.common.log import logger +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation + + +class BitNoisePerturbation(BasePerturbation): + + def add_bit_noise(self, inputs) -> Any: + if isinstance(inputs, Tensor): + bit_len_type = self._get_bit_len_type(inputs) + if bit_len_type is not False: + sub_normal_np = np.finfo(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)).smallest_normal + sub_normal = Tensor(sub_normal_np) + noise_type = list(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.keys())[ + list(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.values()).index(bit_len_type)] + noise = ops.full(inputs.shape, 1, dtype=noise_type) + input_np = inputs.asnumpy() + input_np_int = input_np.view(bit_len_type) + result = Tensor(input_np_int) + result = ops.where(ops.abs(inputs) > sub_normal, + ops.bitwise_xor(result, noise), result) + result_np = result.asnumpy() + result_np_float = result_np.view(FreeBenchmarkConst.MS_NUMPY_DTYPE_DICT.get(inputs.dtype)) + self.is_fuzzed = True + return Tensor(result_np_float) + + if isinstance(inputs, dict): + return {k: self.add_bit_noise(v) for k, v in inputs.items()} + if isinstance(inputs, (tuple, list)): + return type(inputs)([self.add_bit_noise(v) for v in inputs]) + return inputs + + def handle(self, params: HandlerParams) -> any: + args = params.args + params.fuzzed_value = self.add_bit_noise(params.args[params.index]) + if not self.is_fuzzed: + logger.warning(f"{self.api_name} can not add bit noise.") + return False + params.args = args + return self.get_fuzzed_result(params) + + def _get_bit_len_type(self, input): + if self.is_fuzzed: + return False + if not isinstance(input, Tensor) or not ops.is_floating_point(input) or \ + input.numel() == 0: + return False + bit_len_type = FreeBenchmarkConst.PERT_BIT_DICT.get(input.dtype) + if not bit_len_type: + return False + pert_value = FreeBenchmarkConst.PERT_VALUE_DICT.get(input.dtype) + if not pert_value: + return False + max_val = ops.max(ops.abs(input))[0].item() + if max_val < pert_value: + return False + return bit_len_type diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py new file mode 100644 index 0000000000..f55a96aca3 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/improve_precision.py @@ -0,0 +1,34 @@ +from typing import Any + +import mindspore as ms +from mindspore import Tensor, ops + +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.common.log import logger + + +class ImprovePrecisionPerturbation(BasePerturbation): + + def improve_tensor_precision(self, target_tensor): + if isinstance(target_tensor, Tensor) and ops.is_floating_point(target_tensor) and \ + target_tensor.dtype not in [ms.float64, ms.float32]: + self.is_fuzzed = True + return target_tensor.to(ms.float32) + if isinstance(target_tensor, dict): + return {k: self.improve_tensor_precision(v) for k, v in target_tensor.items()} + if isinstance(target_tensor, (tuple, list)): + return type(target_tensor)([self.improve_tensor_precision(v) for v in target_tensor]) + return target_tensor + + def handle(self, params: HandlerParams) -> Any: + args = self.improve_tensor_precision(params.args) + kwargs = self.improve_tensor_precision(params.kwargs) + fuzzed_value = args + if self.api_name in FreeBenchmarkConst.COMMUNICATION_API_LIST: + params.fuzzed_value = fuzzed_value + if not self.is_fuzzed: + logger.warning(f"{self.api_name} can not improve precision.") + return False + return params.original_func(*args, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py new file mode 100644 index 0000000000..fc844bfd6b --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/no_change.py @@ -0,0 +1,12 @@ +from typing import Any + +from msprobe.mindspore.free_benchmark.perturbation.base_perturbation import BasePerturbation +from msprobe.mindspore.free_benchmark.common.handler_params import HandlerParams + + +class NoChangePerturbation(BasePerturbation): + + def handle(self, params: HandlerParams) -> Any: + params.fuzzed_value = params.args[params.index] + self.is_fuzzed = True + return self.get_fuzzed_result(params) diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py new file mode 100644 index 0000000000..6c8328dc2e --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/perturbation/perturbation_factory.py @@ -0,0 +1,27 @@ +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.free_benchmark.common.config import Config +from .add_noise import AddNoisePerturbation +from .bit_noise import BitNoisePerturbation +from .no_change import NoChangePerturbation +from .improve_precision import ImprovePrecisionPerturbation + + +class PerturbationFactory: + """ + 扰动工厂类 + + """ + perturbations = { + FreeBenchmarkConst.IMPROVE_PRECISION: ImprovePrecisionPerturbation, + FreeBenchmarkConst.ADD_NOISE: AddNoisePerturbation, + FreeBenchmarkConst.BIT_NOISE: BitNoisePerturbation, + FreeBenchmarkConst.NO_CHANGE: NoChangePerturbation, + } + + @staticmethod + def create(api_name: str): + perturbation = PerturbationFactory.perturbations.get(Config.pert_type) + if perturbation: + return perturbation(api_name) + else: + raise Exception(f'{Config.pert_type} is a invalid perturbation type') diff --git a/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py new file mode 100644 index 0000000000..e485887ce6 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/free_benchmark/self_check_tool_factory.py @@ -0,0 +1,33 @@ +from msprobe.mindspore.common.const import Const +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from msprobe.mindspore.free_benchmark.api_pynative_self_check import ApiPyNativeSelFCheck + + +class SelfCheckToolFactory: + tools = { + Const.CELL: { + Const.GRAPH_KBYK_MODE: None, + Const.GRAPH_GE_MODE: None, + Const.PYNATIVE_MODE: None + }, + Const.API: { + Const.GRAPH_KBYK_MODE: None, + Const.GRAPH_GE_MODE: None, + Const.PYNATIVE_MODE: ApiPyNativeSelFCheck + }, + Const.KERNEL: { + Const.GRAPH_KBYK_MODE: None, + Const.GRAPH_GE_MODE: None, + Const.PYNATIVE_MODE: None + } + } + + @staticmethod + def create(config: DebuggerConfig): + tool = SelfCheckToolFactory.tools.get(config.level) + if not tool: + raise Exception(f"{config.level} is not supported.") + tool = tool.get(config.execution_mode) + if not tool: + raise Exception(f"Task free_benchmark is not supported in this mode: {config.execution_mode}.") + return tool(config) diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/__init__.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py new file mode 100644 index 0000000000..16d0bd0b86 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/global_context.py @@ -0,0 +1,91 @@ +import os +import threading +from typing import Dict, Union + +from msprobe.core.grad_probe.utils import check_str +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger +from msprobe.core.common.file_check import create_directory +from msprobe.core.common.utils import check_path_before_create + + +class GlobalContext: + + _instance = None + _instance_lock = threading.Lock() + _setting = { + GradConst.LEVEL: None, + GradConst.PARAM_LIST: None, + GradConst.STEP: None, + GradConst.RANK: None, + GradConst.CURRENT_STEP: 0, + GradConst.BOUNDS: [-10, -1, -0.1, -0.01, -0.001, 0, 0.001, 0.01, 0.1, 1, 10], + GradConst.OUTPUT_PATH: None + } + + def __new__(cls, *args, **kwargs): + if cls._instance is None: + cls._instance_lock.acquire() + cls._instance = object.__new__(cls) + cls._instance_lock.release() + return cls._instance + + def init_context(self, config_dict: Dict): + level = config_dict.get(GradConst.LEVEL) + check_str(level, variable_name = "level in yaml") + if level in GradConst.SUPPORTED_LEVEL: + self._setting[GradConst.LEVEL] = config_dict.get(GradConst.LEVEL) + else: + raise ValueError("Invalid level set in config yaml file, level option: L0, L1, L2") + + self._set_input_list(config_dict, GradConst.PARAM_LIST, str) + self._set_input_list(config_dict, GradConst.BOUNDS, float) + self._set_input_list(config_dict, GradConst.STEP, int) + self._set_input_list(config_dict, GradConst.RANK, int) + + output_path = config_dict.get(GradConst.OUTPUT_PATH) + check_str(output_path, variable_name = "output_path in yaml") + try: + check_path_before_create(output_path) + except RuntimeError as err: + raise ValueError(f"Invalid output_path: {output_path}. The error message is {err}.") from err + self._setting[GradConst.OUTPUT_PATH] = output_path + if not os.path.isdir(self._setting.get(GradConst.OUTPUT_PATH)): + create_directory(self._setting.get(GradConst.OUTPUT_PATH)) + else: + logger.warning("The output_path exists, the data will be covered.") + + def get_context(self, key: str): + if key not in self._setting: + logger.warning(f"Unrecognized {key}.") + return self._setting.get(key) + + def update_step(self): + self._setting[GradConst.CURRENT_STEP] += 1 + + def step_need_dump(self, step): + dump_step_list = self.get_context(GradConst.STEP) + return (not dump_step_list) or (step in dump_step_list) + + def rank_need_dump(self, rank): + dump_rank_list = self.get_context(GradConst.RANK) + return (not dump_rank_list) or (rank in dump_rank_list) + + def _set_input_list(self, config_dict: Dict, name: str, dtype: Union[int, str, float]): + value = config_dict.get(name) + if dtype == int: + type_str = "integer" + elif dtype == float: + type_str = "float" + else: + type_str = "string" + if value and isinstance(value, list): + for val in value: + if not isinstance(val, dtype): + logger.warning(f"Invalid {name} which must be None or list of {type_str}") + return + self._setting[name] = value + else: + logger.warning(f"{name} is None or not a list with valid items, use default value.") + +grad_context = GlobalContext() diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py new file mode 100644 index 0000000000..2bdc11114c --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_analyzer.py @@ -0,0 +1,231 @@ +import os +import time +from typing import List, Tuple +import multiprocessing +from multiprocessing import Process + +import numpy as np +import mindspore as ms +from mindspore.communication import get_rank +from mindspore.ops import operations as P +from mindspore.common.parameter import Parameter + +from msprobe.core.grad_probe.utils import ListCache +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger +from msprobe.core.common.file_check import create_directory +from msprobe.core.common.utils import check_file_or_directory_path, write_csv, remove_path, move_file +from msprobe.mindspore.grad_probe.global_context import grad_context, GlobalContext + + +def get_rank_id(): + try: + rank_id = get_rank() + except Exception as err: + rank_id = 0 + return rank_id + + +@ms.jit +def grad_dump(dump_dir: str, g_name: str, dump_step: Parameter, grad: ms.Tensor, level: str, bounds: List): + ''' + Dump gradient statistic data. + level0: [step, max, min, norm, shape_dim, shape] + level1: [step, max, min, norm, shape_dim, shape] + grad_bool_data + level2: [step, max, min, norm, shape_dim, shape, dist_dim, dist] + grad_bool_data + ''' + dump_path = os.path.join(dump_dir, g_name) + dump_dir_path = dump_path + "_dir" + save_op = ms.ops.TensorDump() + + grad_flat = grad.reshape(-1) + max_val = grad_flat.max(axis=0).float() + min_val = grad_flat.min(axis=0).float() + norm_val = grad_flat.norm(ord=2).float() + shape = grad.shape + extrem_list = [dump_step[0].float(), max_val, min_val, norm_val] + extrem_stat = ms.ops.stack(extrem_list) + shape_list = [len(shape)] + list(shape) + shape_stat = ms.Tensor(shape_list).float() + level0_stat = ms.ops.concat((extrem_stat, shape_stat), axis=0) + level_stat = level0_stat + + if level == GradConst.LEVEL2: + zero_grad = (grad == 0).sum() + dist_dim = ms.Tensor([len(bounds) + 2]).float() + bucket_result = ms.ops.bucketize(grad.float(), bounds) + bucket_result = bucket_result.astype(ms.int8) + dist_stat = [(bucket_result == i).sum() for i in range(len(bounds) + 1)] + dist_stat.append(zero_grad) + dist_stat.append(ms.Tensor(1, dtype=ms.int64)) # make sure dist_stat is not empty + dist_stat = ms.ops.stack(dist_stat, axis=0).float() + level2_stat = ms.ops.concat((level0_stat, dist_dim, dist_stat), axis=0) + level_stat = level2_stat + + save_op(dump_path, level_stat) + if level == GradConst.LEVEL1 or level == GradConst.LEVEL2: + grad_direction = grad > 0 + save_op(dump_dir_path, grad_direction) + + +class CSVGenerator(Process): + + def __init__(self) -> None: + super().__init__() + self.dump_dir = None + self.save_dir = None + self.level = GradConst.LEVEL0 + self.cache_list = ListCache() + self.current_step = None + self.stop_event = None + self.last_finish = False + self.bounds = [-0.1, 0.0, 0.1], + + def init(self, context: GlobalContext): + rank_id = get_rank_id() + output_path = context.get_context(GradConst.OUTPUT_PATH) + self.level = context.get_context(GradConst.LEVEL) + self.bounds = context.get_context(GradConst.BOUNDS) + self.dump_dir = f"{output_path}/rank{rank_id}/Dump/" + self.save_dir = f"{output_path}/rank{rank_id}/" + self.current_step = None + self.stop_event = multiprocessing.Event() + self.last_finish = False + + def run(self): + while True: + if not os.path.exists(self.dump_dir): + time.sleep(0.1) + if self.stop_event.is_set(): + break + continue + npy_files = os.listdir(self.dump_dir) + npy_files.sort(key=lambda x: int(x.split("_")[0])) + self.traverse_files(npy_files) + empty = len(os.listdir(self.dump_dir)) == 0 + if self.stop_event.is_set() and empty and self.last_finish: + break + if os.path.exists(self.dump_dir): + remove_path(self.dump_dir) + + def stop(self): + self.stop_event.set() + + def traverse_files(self, npy_files: List): + for npy_file in npy_files: + file_path = os.path.join(self.dump_dir, npy_file) + while not os.path.exists(file_path): + time.sleep(0.01) + check_file_or_directory_path(file_path) + if GradConst.STEP_FINISH in npy_file: + self.cache_list.flush() + remove_path(file_path) + self.last_finish = True + elif file_path.split("_")[-1] == GradConst.DIR_SUFFIX: + prefix_idx = len(npy_file.split("_")[0]) + new_name = npy_file[prefix_idx + 1:].replace("_" + GradConst.DIR_SUFFIX, "." + GradConst.NPY_SUFFIX) + if not new_name: + raise RuntimeError("Invalid dump data name.") + if self.current_step is None: + raise RuntimeError("Current record step is None.") + step_dir = os.path.join(self.save_dir, f"step{self.current_step}") + if not os.path.exists(step_dir): + create_directory(step_dir) + dst_file = os.path.join(step_dir, new_name) + move_file(file_path, dst_file) + self.last_finish = False + elif file_path.split(".")[-1] == GradConst.NPY_SUFFIX: + stat_data = self.load_npy_data(file_path) + if stat_data is None: + continue + if not self.check_valid(stat_data): + os.remove(file_path) + continue + step = int(stat_data[GradConst.STEP_IDX]) + update_step = self.current_step is None or step != self.current_step + self.current_step = step + if update_step: + self.create_csv_file() + self.gen_csv_line(file_path, stat_data) + os.remove(file_path) + self.last_finish = False + + def check_valid(self, stat_data): + level = grad_context.get_context(GradConst.LEVEL) + try: + shape_dim = int(stat_data[GradConst.SHAPE_DIM_IDX]) + if level == GradConst.LEVEL2: + dist_dim = int(stat_data[shape_dim + GradConst.SHAPE_DIM_IDX + 1]) + length = shape_dim + dist_dim + 7 + else: + length = shape_dim + 5 + except IndexError as err: + return False + if length != len(stat_data): + return False + return True + + def load_npy_data(self, file_path: str): + stat_data = None + max_try = 10 + while max_try: + try: + stat_data = np.load(file_path) + return stat_data + except Exception as err: + logger.warning(f"load numpy file failed, retry...") + max_try -= 1 + time.sleep(0.1) + return stat_data + + def gen_csv_line(self, file_path: str, stat_data) -> None: + shape_dim = int(stat_data[GradConst.SHAPE_DIM_IDX]) + file_name = os.path.basename(file_path) + prefix_idx = len(file_name.split("_")[0]) + param_name = file_name[(prefix_idx + 1) : -(len(GradConst.NPY_SUFFIX) + 1)] + if not param_name: + raise RuntimeError("Invalid gradient statistic file name.") + csv_line = [param_name] + if self.level == GradConst.LEVEL2: + csv_line.extend(self.get_dist_data(shape_dim, stat_data)) + csv_line.extend(self.get_extrem_data(shape_dim, stat_data)) + self.cache_list.append(csv_line) + + def get_dist_data(self, shape_dim: int, stat_data: np.ndarray): + dist_data = stat_data[(shape_dim + GradConst.SHAPE_DIM_IDX + 2):-1] + element_num = dist_data.sum() - dist_data[-1] + if element_num != 0: + dist_data = dist_data / element_num + return list(dist_data) + + def get_extrem_data(self, shape_dim: int, stat_data: np.ndarray): + extrem_data = list(stat_data[(GradConst.STEP_IDX + 1):(GradConst.STEP_IDX + 4)]) + shape_data = stat_data[(GradConst.SHAPE_DIM_IDX + 1):(GradConst.SHAPE_DIM_IDX + shape_dim + 1)] + shape_data = list(shape_data.astype(int)) + extrem_data.append(shape_data) + return extrem_data + + def create_csv_file(self): + headers = ["Param_name"] + if self.level == GradConst.LEVEL2: + headers.extend(self.get_dist_header()) + headers.extend(self.get_extrem_headers()) + output_path = f"{self.save_dir}/grad_summary_{self.current_step}.csv" + write_csv([headers], output_path) + self.cache_list.set_output_file(output_path) + self.cache_list.clear() + + def get_extrem_headers(self) -> List[str]: + return ["Max", "Min", "Norm", "Shape"] + + def get_dist_header(self) -> List[str]: + intervals = [] + for i, _ in enumerate(self.bounds): + if i == 0: + intervals.append(f"(-inf, {self.bounds[i]}]") + else: + intervals.append(f"({self.bounds[i-1]}, {self.bounds[i]}]") + intervals.extend([f"({self.bounds[-1]}, inf)", "=0"]) + return intervals + +csv_generator = CSVGenerator() diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py new file mode 100644 index 0000000000..f1e082688a --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_monitor.py @@ -0,0 +1,27 @@ +from msprobe.mindspore.grad_probe.global_context import grad_context +from msprobe.mindspore.grad_probe.grad_analyzer import csv_generator +from msprobe.mindspore.grad_probe.hook import hook_optimizer +from msprobe.core.grad_probe.constant import GradConst + + +class GradientMonitor: + + def __init__(self, common_dict, task_config): + config = {} + config[GradConst.OUTPUT_PATH] = common_dict.dump_path + config[GradConst.STEP] = common_dict.step + config[GradConst.RANK] = common_dict.rank + config[GradConst.PARAM_LIST] = task_config.param_list + config[GradConst.LEVEL] = task_config.grad_level + config[GradConst.BOUNDS] = task_config.bounds + self.config = config + grad_context.init_context(self.config) + + @staticmethod + def monitor(opt): + csv_generator.init(grad_context) + hook_optimizer(opt) + + @staticmethod + def stop(): + csv_generator.stop() diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py new file mode 100644 index 0000000000..1c2b0ee3bf --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/grad_stat_csv.py @@ -0,0 +1,132 @@ +from abc import ABC, abstractmethod +import hashlib + +import mindspore +from mindspore import ops, Tensor +from msprobe.core.grad_probe.constant import GradConst + + +class CsvInput: + def __init__(self, param_name, grad, bounds): + self.param_name = param_name + self.grad = grad + self.bounds = bounds + +class GradStatCsv: + csv = {} + + @staticmethod + def get_csv_header(level, csv_input): + header = ["param_name"] + for key in level["header"]: + header.extend(GradStatCsv.csv[key].generate_csv_header(csv_input)) + return header + + @staticmethod + def get_csv_line(level, csv_input): + line = [csv_input.param_name] + for key in level["header"]: + line.extend(GradStatCsv.csv[key].generate_csv_content(csv_input)) + return line + + +def register_csv_item(key, cls=None): + if cls is None: + # 无参数时，返回装饰器函数 + return lambda cls: register_csv_item(key, cls) + GradStatCsv.csv[key] = cls + return cls + + +class CsvItem(ABC): + @staticmethod + @abstractmethod + def generate_csv_header(csv_input): + pass + + @staticmethod + @abstractmethod + def generate_csv_content(csv_input): + pass + + +@register_csv_item(GradConst.MD5) +class CsvMd5(CsvItem): + def generate_csv_header(csv_input): + return ["MD5"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + tensor_bytes = grad.float().numpy().tobytes() + md5_hash = hashlib.md5(tensor_bytes) + return [md5_hash.hexdigest()] + + +@register_csv_item(GradConst.DISTRIBUTION) +class CsvDistribution(CsvItem): + def generate_csv_header(csv_input): + bounds = csv_input.bounds + intervals = [] + if bounds: + intervals.append(f"(-inf, {bounds[0]}]") + for i in range(1, len(bounds)): + intervals.append(f"({bounds[i-1]}, {bounds[i]}]") + if intervals: + intervals.append(f"({bounds[-1]}, inf)") + intervals.append("=0") + + return intervals + + def generate_csv_content(csv_input): + grad = csv_input.grad + bounds = csv_input.bounds + if grad.dtype == mindspore.bfloat16: + grad = grad.to(mindspore.float32) + element_num = grad.numel() + grad_equal_0_num = (grad == 0).sum().item() + bucketsize_result = ops.bucketize(grad.float(), bounds) + bucketsize_result = bucketsize_result.astype(mindspore.int8) + interval_nums = [(bucketsize_result == i).sum().item() for i in range(len(bounds) + 1)] + interval_nums.append(grad_equal_0_num) + return_list = [x / element_num if element_num != 0 else 0 for x in interval_nums] + return return_list + + +@register_csv_item(GradConst.MAX) +class CsvMax(CsvItem): + def generate_csv_header(csv_input): + return ["max"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [ops.amax(grad).float().numpy().tolist()] + + +@register_csv_item(GradConst.MIN) +class CsvMin(CsvItem): + def generate_csv_header(csv_input): + return ["min"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [ops.amin(grad).float().numpy().tolist()] + + +@register_csv_item(GradConst.NORM) +class CsvNorm(CsvItem): + def generate_csv_header(csv_input): + return ["norm"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [ops.norm(grad).float().numpy().tolist()] + + +@register_csv_item(GradConst.SHAPE) +class CsvShape(CsvItem): + def generate_csv_header(csv_input): + return ["shape"] + + def generate_csv_content(csv_input): + grad = csv_input.grad + return [list(grad.shape)] \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py new file mode 100644 index 0000000000..243fb33de1 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/hook.py @@ -0,0 +1,92 @@ + +import os + +import mindspore +import mindspore as ms +from mindspore.common.api import jit +from mindspore.nn.optim.optimizer import Optimizer +from mindspore.common.parameter import Parameter +from mindspore.common.initializer import initializer + +from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.common.log import logger + +from msprobe.core.common.utils import write_csv, remove_path +from msprobe.mindspore.grad_probe.global_context import grad_context +from msprobe.mindspore.grad_probe.grad_analyzer import grad_dump, get_rank_id +from msprobe.mindspore.grad_probe.grad_analyzer import csv_generator +from msprobe.mindspore.grad_probe.grad_stat_csv import GradStatCsv, CsvInput +from msprobe.mindspore.grad_probe.utils import save_grad_direction, get_adapted_level + +class HookInput: + + ''' + HookInput is a class wrapping all the variables used for hooking optimizer + ''' + + def __init__(self, opt) -> None: + self.func = opt.construct + self.g_names = [param.name for param in opt._parameters] + self.param_list = grad_context.get_context(GradConst.PARAM_LIST) + self.rank_id = get_rank_id() + output_path = grad_context.get_context(GradConst.OUTPUT_PATH) + self.dump_dir = os.path.join(output_path, f"rank{self.rank_id}", "Dump") + self.save_dir = os.path.join(output_path, f"rank{self.rank_id}") + self.step_finish_flag = os.path.join(self.dump_dir, GradConst.STEP_FINISH) + if os.path.exists(self.save_dir): + logger.warning(f"Delete existing path {self.save_dir}.") + remove_path(self.save_dir) + self.level = grad_context.get_context(GradConst.LEVEL) + self.bounds = grad_context.get_context(GradConst.BOUNDS) + self.mode = mindspore.get_context("mode") + +def hook_graph_mode_optimizer(opt, hook_input): + @jit + def new_construct(self, gradients): + for index, grad_value in enumerate(gradients): + if hook_input.param_list and hook_input.g_names[index] not in hook_input.param_list: + continue + grad_dump(hook_input.dump_dir, hook_input.g_names[index], self.dump_step, + grad_value, hook_input.level, hook_input.bounds) + ms.ops.TensorDump()(hook_input.step_finish_flag, self.dump_step) + self.assignadd(self.dump_step, self.global_step_increase_tensor) + out = hook_input.func(gradients) + return out + + opt.dump_step = Parameter(initializer(0, [1], ms.int32), name="dump_step") + opt.construct = new_construct.__get__(opt, type(opt)) + csv_generator.start() + +def hook_pynative_optimizer(opt, hook_input): + level_adapted = get_adapted_level(hook_input.level) + + def hook_fn(cell, input): + gradients, = input + cur_step = grad_context.get_context(GradConst.CURRENT_STEP) + if grad_context.step_need_dump(cur_step) and grad_context.rank_need_dump(hook_input.rank_id): + output_lines = [] + for index, grad_value in enumerate(gradients): + param_name = hook_input.g_names[index] + if hook_input.param_list and param_name not in hook_input.param_list: + continue + csv_input = CsvInput(param_name, grad_value, hook_input.bounds) + grad_info = GradStatCsv.get_csv_line(level_adapted, csv_input) + output_lines.append(grad_info) + if level_adapted["have_grad_direction"]: + save_grad_direction(param_name, grad_value, os.path.join(hook_input.save_dir, f'step{cur_step}')) + output_csv_path = os.path.join(hook_input.save_dir, f"grad_summary_{cur_step}.csv") + dummy_csv_input = CsvInput(None, None, hook_input.bounds) + output_lines.insert(0, GradStatCsv.get_csv_header(level_adapted, dummy_csv_input)) + write_csv(output_lines, output_csv_path) + grad_context.update_step() + + opt.register_forward_pre_hook(hook_fn) + + +def hook_optimizer(opt: Optimizer): + hook_input = HookInput(opt) + + if hook_input.mode == mindspore.GRAPH_MODE: + hook_graph_mode_optimizer(opt, hook_input) + else: + hook_pynative_optimizer(opt, hook_input) diff --git a/debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py b/debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py new file mode 100644 index 0000000000..db0a36a022 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/grad_probe/utils.py @@ -0,0 +1,29 @@ +import os + +import numpy as np +import mindspore +from msprobe.core.grad_probe.constant import GradConst, level_adp +from msprobe.core.grad_probe.utils import check_param +from msprobe.core.common.file_check import create_directory +from msprobe.core.common.utils import check_path_before_create, change_mode, check_file_or_directory_path, save_npy + + +def save_grad_direction(param_name, grad, save_path): + if not os.path.exists(save_path): + create_directory(save_path) + check_file_or_directory_path(save_path, isdir=True) + check_param(param_name) + save_filepath = os.path.join(save_path, f"{param_name}.npy") + check_path_before_create(save_filepath) + + if grad.dtype == mindspore.bfloat16: + grad = grad.to(mindspore.float32) + grad_direction_tensor = grad > 0 + grad_direction_ndarray = grad_direction_tensor.numpy() + + save_npy(grad_direction_ndarray, save_filepath) + + +def get_adapted_level(level: str): + level_adapted = level_adp.get(level) + return level_adapted \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index c0ef6bb6c0..0e7ce15292 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -1,7 +1,10 @@ import json + from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.core.common.file_check import FileOpen from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.mindspore.common.log import logger class TensorConfig(BaseConfig): @@ -51,10 +54,39 @@ class OverflowCheckConfig(BaseConfig): raise Exception("check_mode is invalid") +class FreeBenchmarkConfig(BaseConfig): + def __init__(self, task_config): + super().__init__(task_config) + self._check_config() + + def _check_config(self): + if self.fuzz_device and self.fuzz_device not in FreeBenchmarkConst.DEVICE_LIST: + raise Exception("fuzz_device must be npu or empty") + if self.pert_mode and self.pert_mode not in FreeBenchmarkConst.PERT_TYPE_LIST: + raise Exception("pert_mode must be improve_precision, add_noise, bit_noise , no_change or empty") + if self.handler_type and self.handler_type not in FreeBenchmarkConst.HANDLER_TYPE_LIST: + raise Exception("handler_type must be check, fix or empty") + if self.fuzz_level and self.fuzz_level not in FreeBenchmarkConst.DUMP_LEVEL_LIST: + raise Exception("fuzz_level must be L1 or empty") + if self.fuzz_stage and self.fuzz_stage not in FreeBenchmarkConst.STAGE_LIST: + raise Exception("fuzz_stage must be forward or empty") + if self.if_preheat or self.preheat_step or self.max_sample: + logger.warning("'if_preheat', 'preheat_step' and 'max_sample' settings " + "are not supported for mindspore free benchmark task.") +class GradProbeConfig(BaseConfig): + def __init__(self, json_config): + super().__init__(json_config) + self.grad_level = json_config.get("grad_level") + self.param_list = json_config.get("param_list") + self.bounds = json_config.get("bounds") + + TaskDict = { Const.TENSOR: TensorConfig, Const.STATISTICS: StatisticsConfig, Const.OVERFLOW_CHECK: OverflowCheckConfig, + Const.FREE_BENCHMARK: FreeBenchmarkConfig, + Const.GRAD_PROBE: GradProbeConfig, } diff --git a/debug/accuracy_tools/msprobe/mindspore/runtime.py b/debug/accuracy_tools/msprobe/mindspore/runtime.py new file mode 100644 index 0000000000..380b30d978 --- /dev/null +++ b/debug/accuracy_tools/msprobe/mindspore/runtime.py @@ -0,0 +1,4 @@ +class Runtime: + step_count: int = 0 + rank_id: int = -1 + is_running: bool = False diff --git a/debug/accuracy_tools/msprobe/mindspore/service.py b/debug/accuracy_tools/msprobe/mindspore/service.py index 50776aaf10..4c2a4ef693 100644 --- a/debug/accuracy_tools/msprobe/mindspore/service.py +++ b/debug/accuracy_tools/msprobe/mindspore/service.py @@ -19,6 +19,9 @@ from pathlib import Path import functools from collections import defaultdict +from mindspore.common.tensor import Tensor +from mindspore import ops +from mindspore import nn from msprobe.core.data_dump.data_collector import build_data_collector from msprobe.core.data_dump.scope import BaseScope from msprobe.mindspore.common.utils import get_rank_if_initialized @@ -27,7 +30,9 @@ from msprobe.mindspore.common.log import logger from msprobe.core.common.utils import Const from msprobe.core.common.exceptions import DistributedNotInitializedError from msprobe.mindspore.dump.hook_cell.api_registry import api_register -from msprobe.core.data_dump.data_processor.base import ModuleForwardInputsOutputs, ModuleBackwardInputsOutputs +from msprobe.core.data_dump.data_processor.base import ModuleBackwardInputsOutputs, ModuleForwardInputsOutputs,\ + ModuleBackwardInputs, ModuleBackwardOutputs +from msprobe.core.common.exceptions import MsprobeException from msprobe.mindspore.dump.hook_cell.hook_cell import HOOKCell @@ -41,9 +46,18 @@ class Service: self.current_iter = 0 self.first_start = True self.current_rank = None + self.primitive_counters = {} self.dump_iter_dir = None self.start_call = False + @staticmethod + def check_model_valid(model): + if not model or isinstance(model, nn.Cell): + return model + raise MsprobeException( + MsprobeException.INVALID_PARAM_ERROR, "model 参数必须是 mindspore.nn.Cell 类型。" + ) + def build_hook(self, module_type, name): def forward_hook(api_or_module_name, module, input, output): self.data_collector.visit_and_clear_overflow_status(api_or_module_name) @@ -79,13 +93,145 @@ class Service: return wrap_forward_hook, wrap_backward_hook + + def wrap_primitive(self, origin_func, primitive_name): + service_instance = self + + def create_backward_hook(captured_grads, num_tensors, updated_primitive_name, hook_type): + def backward_hook(grad): + captured_grads.append(grad) + backward_primitive_name = f"{updated_primitive_name}.{Const.BACKWARD}" + try: + if len(captured_grads) == num_tensors and hook_type == Const.INPUT: + service_instance.data_collector.visit_and_clear_overflow_status(backward_primitive_name) + new_module_input_output = ModuleBackwardOutputs(grad_output=tuple(captured_grads)) + service_instance.data_collector.backward_output_data_collect( + backward_primitive_name, service_instance, os.getpid(), new_module_input_output + ) + captured_grads.clear() + elif len(captured_grads) == num_tensors and hook_type == Const.OUTPUT: + service_instance.data_collector.visit_and_clear_overflow_status(backward_primitive_name) + new_module_input_output = ModuleBackwardInputs(grad_input=tuple(captured_grads)) + service_instance.data_collector.backward_input_data_collect( + backward_primitive_name, service_instance, os.getpid(), new_module_input_output + ) + captured_grads.clear() + + except Exception as exception: + raise Exception( + "This is a primitive op {hook_type}_backward dump error: {exception}," + " updated_primitive_name: {updated_primitive_name}".format( + hook_type=hook_type, exception=exception, backward_primitive_name=backward_primitive_name + ) + ) from exception + + return backward_hook + + def hook_primitive_inputs(args, captured_grads_input, updated_primitive_name): + hooked_inputs = [] + num_tensors = sum(isinstance(arg, Tensor) for arg in args) + input_backward_hook = create_backward_hook(captured_grads_input, num_tensors, updated_primitive_name, + Const.INPUT) + for _, arg in enumerate(args): + if isinstance(arg, Tensor): + arg_hooked = ops.HookBackward(input_backward_hook)(arg) + hooked_inputs.append(arg_hooked) + else: + hooked_inputs.append(arg) + return hooked_inputs + + def hook_primitive_outputs(out, captured_grads_output, updated_primitive_name): + if isinstance(out, tuple): + num_output_tensors = sum(isinstance(tensor, Tensor) for tensor in out) + else: + num_output_tensors = 1 + output_backward_hook = create_backward_hook(captured_grads_output, num_output_tensors, + updated_primitive_name, Const.OUTPUT) + + if isinstance(out, Tensor): + return ops.HookBackward(output_backward_hook)(out) + elif isinstance(out, tuple): + hooked_outputs = [] + for tensor in out: + if isinstance(tensor, Tensor): + hooked_outputs.append(ops.HookBackward(output_backward_hook)(tensor)) + else: + hooked_outputs.append(tensor) + return tuple(hooked_outputs) + return out + + def wrapped_primitive_call(instance_self, *args, **kwargs): + service_instance.update_primitive_counters(primitive_name) + current_count = service_instance.primitive_counters.get(primitive_name, 0) + updated_primitive_name = f"{Const.PRIMITIVE_PREFIX}.{primitive_name}.{current_count}" + + if not service_instance.switch: + return origin_func(*args, **kwargs) + + captured_grads_input, captured_grads_output = [], [] + + try: + hooked_inputs = hook_primitive_inputs(args, captured_grads_input, updated_primitive_name) + except Exception as exception: + raise Exception("This is a primitive op dump error during input hooking: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + try: + out = origin_func(*hooked_inputs, **kwargs) + except Exception as exception: + raise Exception("This is a primitive op dump error during function call: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + forward_primitive_name = f"{updated_primitive_name}.{Const.FORWARD}" + service_instance.data_collector.visit_and_clear_overflow_status(forward_primitive_name) + if service_instance.data_collector: + module_input_output = ModuleForwardInputsOutputs(args=hooked_inputs, kwargs=kwargs, output=out) + try: + service_instance.data_collector.forward_data_collect(forward_primitive_name, instance_self, + os.getpid(), module_input_output) + except Exception as exception: + raise Exception("This is a primitive op dump error during forward data collection: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + if service_instance.data_collector.if_return_forward_new_output(): + out = service_instance.data_collector.get_forward_new_output() + + try: + out = hook_primitive_outputs(out, captured_grads_output, updated_primitive_name) + except Exception as exception: + raise Exception("This is a primitive op dump error during output hooking: {}," + " primitive_name: {}".format(exception, primitive_name)) from exception + + return out + + return wrapped_primitive_call + + def update_primitive_counters(self, primitive_name): + if primitive_name not in self.primitive_counters: + self.primitive_counters[primitive_name] = 0 + else: + self.primitive_counters[primitive_name] += 1 + + def register_hooks(self): + primitive_set = set() + for _, cell in self.model.cells_and_names(): + for pname, primitive in cell._primitives.items(): + primitive_set.add((pname, primitive)) + + for pname, primitive in primitive_set: + NewPrimitive = type('NewPrimitive', (primitive.__class__,), + {'__call__': self.wrap_primitive(primitive.__call__, pname)}) + primitive.__class__ = NewPrimitive + + def step(self): self.current_iter += 1 self.data_collector.update_iter(self.current_iter) HOOKCell.cell_count = defaultdict(int) + self.primitive_counters.clear() def start(self, model=None): - self.model = model + self.model = Service.check_model_valid(model) self.start_call = True logger.info("msprobe: debugger.start() is set successfully") if self.config.step and self.current_iter > max(self.config.step): @@ -150,3 +296,5 @@ class Service: if self.config.level == "L1": api_register.initialize_hook(functools.partial(self.build_hook, BaseScope.Module_Type_API)) api_register.api_set_hook_func() + if self.model: + self.register_hooks() \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py b/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py index 7b7e6fd889..dfe2fbe2cd 100644 --- a/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py +++ b/debug/accuracy_tools/msprobe/mindspore/task_handler_factory.py @@ -1,17 +1,23 @@ +from msprobe.core.common.const import Const +from msprobe.mindspore.common.const import Const as MsConst from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.dump.dump_tool_factory import DumpToolFactory from msprobe.mindspore.overflow_check.overflow_check_tool_factory import OverflowCheckToolFactory +from msprobe.mindspore.free_benchmark.self_check_tool_factory import SelfCheckToolFactory class TaskHandlerFactory: tasks = { - "tensor": DumpToolFactory, - "statistics": DumpToolFactory, - "overflow_check": OverflowCheckToolFactory + Const.TENSOR: DumpToolFactory, + Const.STATISTICS: DumpToolFactory, + Const.OVERFLOW_CHECK: OverflowCheckToolFactory, + Const.FREE_BENCHMARK: SelfCheckToolFactory } @staticmethod def create(config: DebuggerConfig): + if config.execution_mode == MsConst.PYNATIVE_MODE and config.task != Const.FREE_BENCHMARK: + raise Exception("Current Task can't run in pynative mode.") task = TaskHandlerFactory.tasks.get(config.task) if not task: raise Exception("valid task is needed.") diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 5146ee1acb..802913814e 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -15,16 +15,15 @@ import argparse import sys -from msprobe.pytorch.api_accuracy_checker.run_ut.run_ut import _run_ut_parser, run_ut_command -from msprobe.pytorch.parse_tool.cli import parse as cli_parse -from msprobe.pytorch.api_accuracy_checker.run_ut.multi_run_ut import prepare_config, run_parallel_ut -from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _api_precision_compare_parser, \ - _api_precision_compare_command -from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ - _run_overflow_check_command -from msprobe.pytorch.compare.pt_compare import _compare_parser -from msprobe.pytorch.compare.compare_cli import compare_cli -from msprobe.mindspore.compare.compare_cli import compare_cli_ms +import importlib.util +from msprobe.core.compare.utils import _compare_parser +from msprobe.core.common.log import logger + + +def is_module_available(module_name): + spec =importlib.util.find_spec(module_name) + return spec is not None + def main(): parser = argparse.ArgumentParser( @@ -33,6 +32,7 @@ def main(): "Providing one-site accuracy difference debugging toolkit for training on Ascend Devices.\n" f"For any issue, refer README.md first", ) + parser.set_defaults(print_help=parser.print_help) parser.add_argument('-f', '--framework', required=True, choices=['pytorch', 'mindspore'], help='Deep learning framework.') @@ -43,18 +43,32 @@ def main(): multi_run_ut_cmd_parser = subparsers.add_parser('multi_run_ut') api_precision_compare_cmd_parser = subparsers.add_parser('api_precision_compare') run_overflow_check_cmd_parser = subparsers.add_parser('run_overflow_check') - _compare_parser(compare_cmd_parser) - _run_ut_parser(run_ut_cmd_parser) - _run_ut_parser(multi_run_ut_cmd_parser) multi_run_ut_cmd_parser.add_argument('-n', '--num_splits', type=int, choices=range(1, 65), default=8, help='Number of splits for parallel processing. Range: 1-64') - _api_precision_compare_parser(api_precision_compare_cmd_parser) - _run_overflow_check_parser(run_overflow_check_cmd_parser) + + _compare_parser(compare_cmd_parser) + if len(sys.argv) == 1: parser.print_help() sys.exit(0) args = parser.parse_args(sys.argv[1:]) if sys.argv[2] == "pytorch": + if is_module_available("torch"): + from msprobe.pytorch.api_accuracy_checker.run_ut.run_ut import _run_ut_parser, run_ut_command + from msprobe.pytorch.parse_tool.cli import parse as cli_parse + from msprobe.pytorch.api_accuracy_checker.run_ut.multi_run_ut import prepare_config, run_parallel_ut + from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _api_precision_compare_parser, \ + _api_precision_compare_command + from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ + _run_overflow_check_command + from msprobe.pytorch.compare.compare_cli import compare_cli + _run_ut_parser(run_ut_cmd_parser) + _run_ut_parser(multi_run_ut_cmd_parser) + _api_precision_compare_parser(api_precision_compare_cmd_parser) + _run_overflow_check_parser(run_overflow_check_cmd_parser) + else: + logger.error("Pytorch does not exit, please install pytorch library") + raise Exception() if sys.argv[3] == "run_ut": run_ut_command(args) elif sys.argv[3] == "parse": @@ -69,7 +83,13 @@ def main(): elif sys.argv[3] == "compare": compare_cli(args) else: - compare_cli_ms(args) + if is_module_available("mindspore"): + from msprobe.mindspore.compare.compare_cli import compare_cli_ms + else: + logger.error("Mindspore does not exit, please install mindspore library") + raise Exception() + if sys.argv[3] == "compare": + compare_cli_ms(args) if __name__ == "__main__": main() diff --git a/debug/accuracy_tools/msprobe/pytorch/__init__.py b/debug/accuracy_tools/msprobe/pytorch/__init__.py index c14d9701a3..c4e4267726 100644 --- a/debug/accuracy_tools/msprobe/pytorch/__init__.py +++ b/debug/accuracy_tools/msprobe/pytorch/__init__.py @@ -1,3 +1,4 @@ from .debugger.precision_debugger import PrecisionDebugger from .common.utils import seed_all from .compare.distributed_compare import compare_distributed +from .compare.pt_compare import compare \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py b/debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py deleted file mode 100644 index b178664d9e..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor.py +++ /dev/null @@ -1,124 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - -import os - -from msprobe.pytorch.advisor.advisor_result import AdvisorResult -from msprobe.pytorch.advisor.advisor_const import AdvisorConst -from msprobe.pytorch.common.log import logger -from msprobe.core.common.utils import CompareException -from msprobe.core.common.file_check import FileChecker -from msprobe.core.common.const import Const, CompareConst, FileCheckConst - -class Advisor: - """ - Class for generate advisor - """ - - def __init__(self, input_data, out_path=""): - self.input_data = input_data - self.out_path = os.path.realpath(out_path) - self.file_type = None - - @staticmethod - def deterministic_advisor(message, node_name): - for api_name in AdvisorConst.NEED_DETERMINISTIC_API: - if api_name in node_name: - return AdvisorConst.DETERMINISTIC_SUGGEST - return message - - @staticmethod - def batch_norm_advisor(message, node_name): - if AdvisorConst.FUNC_BATCH_NORM in node_name and AdvisorConst.FORWARD_INPUT_1 in node_name: - message = AdvisorConst.BATCH_NORM_SUGGEST - return message - - def analyze_unmatched(self, analyze_data): - if self.file_type == Const.ALL: - accuracy_unmatched = analyze_data[ - analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_UNMATCH] - else: - accuracy_unmatched = analyze_data[(analyze_data[CompareConst.NPU_SHAPE] == CompareConst.NAN) | - (analyze_data[CompareConst.BENCH_SHAPE] == CompareConst.NAN)] - num_unmatch = len(accuracy_unmatched) - if num_unmatch != 0: - for i in range(len(accuracy_unmatched)): - item = accuracy_unmatched.iloc[i] - logger.warning("The tensor name matches but the shape or dtype does not match: {}" - .format(item[CompareConst.NPU_NAME])) - - def gen_advisor_result(self, pd_data): - first_failing_data = pd_data.iloc[0] - node_name = first_failing_data[CompareConst.NPU_NAME] - index = first_failing_data['index'] - message = self.gen_advisor_message(node_name) - logger.warning("Find %s accuracy not reached, the line is %s" % (node_name, index)) - result = AdvisorResult(node_name, index, message) - return result - - def gen_advisor_message(self, node_name): - if AdvisorConst.FORWARD in node_name: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.FORWARD_INPUT_SUGGEST - else: - message = AdvisorConst.FORWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - else: - if AdvisorConst.INPUT in node_name: - message = AdvisorConst.BACKWARD_INPUT_SUGGEST - else: - message = AdvisorConst.BACKWARD_OUTPUT_SUGGEST - message = self.deterministic_advisor(message, node_name) - message = self.batch_norm_advisor(message, node_name) - return message - - def analysis(self): - self._check_path_vaild() - analyze_data = self._parse_input_data() - logger.info("Start analyzing the comparison result: %s" % self.file_type) - self.analyze_unmatched(analyze_data) - if self.file_type == Const.ALL: - failing_data = analyze_data[analyze_data[CompareConst.ACCURACY] == CompareConst.ACCURACY_CHECK_NO] - elif self.file_type == Const.MD5: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.DIFF] - elif self.file_type == Const.SUMMARY: - failing_data = analyze_data[analyze_data[CompareConst.RESULT] == CompareConst.WARNING] - if failing_data.empty: - logger.info("All data from api input/output accuracy reached") - result = AdvisorResult(AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERROR_API, AdvisorConst.NO_ERR_SUGGEST) - else: - result = self.gen_advisor_result(failing_data) - message_list = result.print_advisor_log() - result.gen_summary_file(self.out_path, message_list) - - def _parse_input_data(self): - data_columns = self.input_data.columns.values - if {CompareConst.ACCURACY, CompareConst.NPU_NAME}.issubset(data_columns): - self.file_type = Const.ALL - elif {CompareConst.RESULT, CompareConst.NPU_MD5}.issubset(data_columns): - self.file_type = Const.MD5 - elif {CompareConst.MAX_DIFF, CompareConst.RESULT}.issubset(data_columns): - self.file_type = Const.SUMMARY - else: - logger.error('Compare result does not meet the required conditions.') - raise CompareException(CompareException.INVALID_DATA_ERROR) - df = self.input_data.reset_index() - return df - - def _check_path_vaild(self): - out_path_checker = FileChecker(self.out_path, FileCheckConst.DIR, FileCheckConst.WRITE_ABLE) - out_path_checker.common_check() diff --git a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py b/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py deleted file mode 100644 index 737c675911..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_const.py +++ /dev/null @@ -1,59 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - - -class AdvisorConst: - """ - Class for advisor const - """ - - # text symbol - NEW_LINE = "\n" - COLON = ": " - - # advisor summary key - SUSPECT_NODES = "Suspect Nodes" - LINE = "Line" - ADVISOR_SUGGEST = "Expert Advice" - - NO_ERROR_API = "NA" - - # advisor message - NO_ERR_SUGGEST = "All data in comparison result meets the accuracy requirements." - FORWARD_INPUT_SUGGEST = "1. Analyze the model to view the input source.\n" \ - "2. Check whether an inplace API causes the output result to overwrite the input result. That is, the fault is actually caused by a computation error.\n" \ - "3. The fault may be caused by memory corruption and further analysis is required." - FORWARD_OUTPUT_SUGGEST = "This is a forward API computation error. Check the computation implementation." - BACKWARD_INPUT_SUGGEST = "Check whether the forward computation result is affected." - BACKWARD_OUTPUT_SUGGEST = "This is a backward API computation error. Check the computation implementation." - BATCH_NORM_SUGGEST = "Torch API batch_norm input not fixed, the following suggestions may fix it:\n" \ - "1. If use torch.nn.functional.batch_norm, you can set parameter training=False.\n" \ - "2. If use torch.nn.BatchNormXXX, you can set parameter affine=False.\n" \ - "3. Use seed_all(mode=True) to enable deterministic computing." - DETERMINISTIC_SUGGEST = "This torch api may be uncertainty in the calculation, " \ - "can seed_all(mode=True) to enable deterministic computing." - - FUNC_BATCH_NORM = "Functional_batch_norm" - FORWARD_INPUT_1 = "forward_input.1" - NEED_DETERMINISTIC_API = ["conv2d", "conv3d", "matmul", "nll_loss", "layer_norm", "lstm"] - BATCH_NORM = "batch_norm" - - # name keyword - INPUT = "input" - OUTPUT = "output" - FORWARD = "forward" - BACKWARD = "backward" diff --git a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py b/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py deleted file mode 100644 index 456f542e1f..0000000000 --- a/debug/accuracy_tools/msprobe/pytorch/advisor/advisor_result.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding: utf-8 -*- -""" -# Copyright (C) 2022-2024. Huawei Technologies Co., Ltd. All rights reserved. -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -import os -import time - -from msprobe.pytorch.advisor.advisor_const import AdvisorConst -from msprobe.pytorch.common.log import logger -from msprobe.core.common.const import Const, FileCheckConst -from msprobe.core.common.file_check import change_mode - - -class AdvisorResult: - """ - Class for generate advisor result - """ - - def __init__(self, node, line, message): - self.suspect_node = node - self.line = line - self.advisor_message = message - - @staticmethod - def gen_summary_file(out_path, message_list): - file_name = 'advisor_{}.txt'.format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time()))) - result_file = os.path.join(out_path, file_name) - try: - with os.fdopen(os.open(result_file, Const.WRITE_FLAGS, Const.WRITE_MODES), 'w+') as output_file: - output_file.truncate(0) - message_list = [message + AdvisorConst.NEW_LINE for message in message_list] - output_file.writelines(message_list) - change_mode(result_file, FileCheckConst.DATA_FILE_AUTHORITY) - except IOError as io_error: - logger.error("Failed to save %s, the reason is %s." % (result_file, io_error)) - else: - logger.info("The advisor summary is saved in: %s" % result_file) - - def print_advisor_log(self): - logger.info("The summary of the expert advice is as follows: ") - message_list = [AdvisorConst.LINE + AdvisorConst.COLON + str(self.line), - AdvisorConst.SUSPECT_NODES + AdvisorConst.COLON + self.suspect_node, - AdvisorConst.ADVISOR_SUGGEST + AdvisorConst.COLON + self.advisor_message] - for message in message_list: - logger.info(message) - return message_list diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py index 155609f58c..b344d4efbf 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/compare_cli.py @@ -3,7 +3,7 @@ from msprobe.core.common.file_check import FileOpen, check_file_type from msprobe.core.common.const import FileCheckConst from msprobe.core.common.utils import CompareException from msprobe.core.common.log import logger -from msprobe.pytorch.compare.pt_compare import pt_compare +from msprobe.pytorch.compare.pt_compare import compare from msprobe.pytorch.compare.distributed_compare import compare_distributed @@ -14,7 +14,7 @@ def compare_cli(args): bench_path = input_param.get("bench_path", None) if check_file_type(npu_path) == FileCheckConst.FILE and check_file_type(bench_path) == FileCheckConst.FILE: - pt_compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, + compare(input_param, args.output_path, stack_mode=args.stack_mode, auto_analyze=args.auto_analyze, fuzzy_match=args.fuzzy_match) elif check_file_type(npu_path) == FileCheckConst.DIR and check_file_type(bench_path) == FileCheckConst.DIR: kwargs = {"stack_mode": args.stack_mode, "auto_analyze": args.auto_analyze, "fuzzy_match": args.fuzzy_match} diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index aeea949457..923c0044d7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -15,63 +15,16 @@ # limitations under the License. """ import os -import sys -import re from msprobe.core.common.utils import CompareException, check_compare_param, \ - check_configuration_param, task_dumppath_get, check_file_or_directory_path, check_regex_prefix_format_valid + check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import create_directory from msprobe.core.common.exceptions import FileCheckException from msprobe.core.common.log import logger from msprobe.pytorch.compare.pt_compare import PTComparator +from msprobe.core.compare.utils import check_and_return_dir_contents, extract_json -def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): - def check_and_return_dir_contents(dump_dir, prefix): - """ - check the given dump dir and validate files in dump dir by using the given prefix patterns to build a - pattern: ^{prefix}(?:0|[0-9][1-9]*)?$ - - Args: - dump_dir (str): dump dir - prefix (str): prefix for the patterns, prefix should be less than 20 characters and alphanumeric/-/_ only - - Returns: - content [list]: dir contents - Raises: - CompareException: invalid path - ValueError: prefix not match the patterns - - """ - check_regex_prefix_format_valid(prefix) - check_file_or_directory_path(dump_dir, True) - contents = os.listdir(dump_dir) - pattern = re.compile(rf'^{prefix}(?:0|[0-9][1-9]*)?$') - for name in contents: - if not pattern.match(name): - logger.error( - f"dump_dir contains '{name}'. Expected '{prefix}'. This name is not in the format of dump " - f"output. Please check and delete irrelevant files in {dump_dir} and try again." - ) - raise CompareException(CompareException.INVALID_PATH_ERROR) - return contents - - def extract_json(dirname, stack_json=False): - json_path = '' - for fname in os.listdir(dirname): - if fname=="construct.json": continue - full_path = os.path.join(dirname, fname) - if full_path.endswith('.json'): - json_path = full_path - if not stack_json and 'stack' not in json_path: - break - if stack_json and 'stack' in json_path: - break - - # Provide robustness on invalid directory inputs - if not json_path: - logger.error(f'No file is found in dump dir {dirname}. ') - raise CompareException(CompareException.NO_DUMP_FILE_ERROR) - return json_path +def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): if kwargs.get('suffix'): logger.error("Argument 'suffix' is not supported for compare_distributed.") raise CompareException(CompareException.INVALID_PARAM_ERROR) @@ -106,7 +59,7 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): check_compare_param(dump_result_param, output_path, summary_compare=summary_compare, md5_compare=md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise CompareException(error.code) from error ptComparator=PTComparator() ptComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml b/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml new file mode 100644 index 0000000000..eaffbe7a18 --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/compare/mapping.yaml @@ -0,0 +1,607 @@ +__and__: __and__ +__iand__: __iand__ +__ilshift__: __ilshift__ +__ior__: __ior__ +__irshift__: __irshift__ +__ixor__: __ixor__ +__lshift__: __lshift__ +__or__: __or__ +__rshift__: __rshift__ +__xor__: __xor__ +_adaptive_avg_pool2d: adaptive_avg_pool2d +_adaptive_avg_pool3d: adaptive_avg_pool3d +_cdist_forward: cdist +_cudnn_rnn: rnn +_embedding_bag: embedding_bag +_fft_c2c: fft +_fft_c2r: rfft +_foreach_add_: _foreach_add_ +_foreach_addcdiv: _foreach_addcdiv +_foreach_copy_: _foreach_copy_ +_foreach_lerp_: _foreach_lerp_ +_foreach_maximum: _foreach_maximum +_foreach_mul: _foreach_mul +_foreach_neg_: _foreach_neg_ +_foreach_pow: _foreach_pow +_foreach_reciprocal_: _foreach_reciprocal_ +_foreach_sign: _foreach_sign +_foreach_sqrt: _foreach_sqrt +_foreach_sqrt_: _foreach_sqrt_ +_foreach_sub: _foreach_sub +_fused_adam: FusedAdam +_linalg_det: det +_linalg_eigh: eigh +_linalg_slogdet: slogdet +_linalg_svd: svd +_list_to_tensor: as_tensor +_log_softmax: log_softmax +_native_batch_norm_legit: batch_norm +_nested_tensor_from_tensor_list: _nested_tensor_from_tensor_list +_pdist_forward: pdist +_pin_memory: pin_memory +_reshape_alias: reshape +_resize_output_: resize_ +_softmax: softmax +_to_copy: to +abs: abs +abs_: abs_ +absolute: abs +absolute_: abs_ +acos: acos +acos_: acos_ +acosh: acosh +acosh_: acosh_ +adaptive_max_pool2d: adaptive_max_pool2d +adaptive_max_pool3d: adaptive_max_pool3d +add: add +add_: add_ +addbmm: addbmm +addbmm_: addbmm_ +addcdiv: addcdiv +addcdiv_: addcdiv_ +addcmul: addcmul +addcmul_: addcmul_ +addmm: addmm +addmm_: addmm_ +addmv: addmv +addmv_: addmv_ +addr: addr +affine_grid_generator: affine_grid +alias: alias +all: all +alpha_dropout: AlphaDropout +amax: amax +amin: amin +aminmax: aminmax +angle: angle +any: any +arange: arange +arccos: acos +arccos_: arccos_ +arccosh: arccosh +arccosh_: arccosh_ +arcsin: asin +arcsin_: arcsin_ +arcsinh: asinh +arcsinh_: arcsinh_ +arctan: atan +arctan2: atan2 +arctan2_: arctan2_ +arctan_: arctan_ +arctanh: arctanh +arctanh_: arctanh_ +argmax: argmax +argmin: argmin +argsort: argsort +as_strided: as_strided +asin: asin +asin_: asin_ +asinh: asinh +asinh_: asinh_ +atan: atan +atan2: atan2 +atan2_: atan2_ +atan_: atan_ +atanh: atanh +atanh_: atanh_ +avg_pool2d: avg_pool2d +avg_pool3d: avg_pool3d +baddbmm: baddbmm +baddbmm_: baddbmm_ +bernoulli: bernoulli +bernoulli_: bernoulli_ +binary_cross_entropy: BCELoss +binary_cross_entropy_with_logits: binary_cross_entropy_with_logits +bitwise_and: bitwise_and +bitwise_and_: bitwise_and_ +bitwise_left_shift: __lshift__ +bitwise_left_shift_: bitwise_left_shift_ +bitwise_not: bitwise_not +bitwise_not_: bitwise_not_ +bitwise_or: bitwise_or +bitwise_or_: bitwise_or_ +bitwise_right_shift: __rshift__ +bitwise_right_shift_: bitwise_right_shift_ +bitwise_xor: bitwise_xor +bitwise_xor_: bitwise_xor_ +bmm: bmm +broadcast_tensors: broadcast_tensors +bucketize: bucketize +cat: cat +cauchy: Cauchy +cauchy_: cauchy_ +ceil: ceil +ceil_: ceil_ +celu: celu +celu_: celu_ +cholesky: cholesky +cholesky_inverse: cholesky_inverse +cholesky_solve: cholesky_solve +clamp: clamp +clamp_: clamp_ +clamp_max: clamp_max +clamp_max_: clamp_max_ +clamp_min: clamp_min +clamp_min_: clamp_min_ +clip: clip +clip_: clip_ +clone: clone +col2im: col2im +complex: complex +conj_physical: conj +conj_physical_: conj_ +constant_pad_nd: pad +convolution: Conv2d +copy: copy_ +copy_: copy_ +copysign: copysign +copysign_: copysign_ +cos: cos +cos_: cos_ +cosh: cosh +cosh_: cosh_ +count_nonzero: count_nonzero +cudnn_batch_norm: BatchNorm2d +cummax: cummax +cummin: cummin +cumprod: cumprod +cumprod_: cumprod_ +cumsum: cumsum +cumsum_: cumsum_ +deg2rad: deg2rad +deg2rad_: deg2rad_ +detach: detach +diag: diag +diag_embed: diag_embed +diagonal: diagonal +diagonal_copy: diagonal +diagonal_scatter: diagonal +digamma: digamma +digamma_: digamma_ +dist: dist +div: div +div_: div_ +divide: div +divide_: divide_ +dot: dot +dropout: dropout +elu: ELU +elu_: elu_ +embedding: embedding +empty_like: empty_like +empty_strided: empty_strided +eq: eq +eq_: eq_ +erf: erf +erf_: erf_ +erfc: erfc +erfc_: erfc_ +erfinv: erfinv +erfinv_: erfinv_ +exp: exp +exp2: exp2 +exp2_: exp2_ +exp_: exp_ +expand: expand +expm1: expm1 +expm1_: expm1_ +exponential: Exponential +exponential_: exponential_ +eye: eye +fft_fft: fft +fft_fft2: fft2 +fft_fftn: fftn +fft_fftshift: fftshift +fft_hfft: hfft +fft_hfft2: hfft2 +fft_hfftn: hfftn +fft_ifft: ifft +fft_ifft2: ifft2 +fft_ifftn: ifftn +fft_ifftshift: ifftshift +fft_ihfft: ihfft +fft_ihfft2: ihfft2 +fft_ihfftn: ifftn +fft_irfft: irfft +fft_irfft2: irfft2 +fft_irfftn: irfftn +fft_rfft: rfft +fft_rfft2: rfft2 +fft_rfftn: rfftn +fill: fill_ +fill_: fill_ +fix: fix +fix_: fix_ +flip: flip +float_power_: float_power_ +floor: floor +floor_: floor_ +floor_divide: floor_divide +floor_divide_: floor_divide_ +fmax: fmax +fmin: fmin +fmod: fmod +fmod_: fmod_ +frac: frac +frac_: frac_ +full: full +full_like: full_like +gather: gather +gcd: gcd +gcd_: gcd_ +ge: ge +ge_: ge_ +gelu: GELU +gelu_: gelu_ +geometric: Geometric +geometric_: geometric_ +glu: glu +greater: gt +greater_: ge_ +greater_equal: ge +greater_equal_: ge_ +grid_sampler_2d: grid_sample +grid_sampler_3d: grid_sample +gru: GRU +gt: gt +gt_: gt_ +hardshrink: Hardshrink +hardsigmoid: hardsigmoid +hardsigmoid_: hardsigmoid_ +hardswish: hardswish +hardswish_: hardswish_ +hardtanh: hardtanh +hardtanh_: hardtanh_ +heaviside: heaviside +heaviside_: heaviside_ +hinge_embedding_loss: HingeEmbeddingLoss +huber_loss: huber_loss +hypot: hypot +hypot_: hypot_ +i0: i0 +i0_: i0_ +igamma: igamma +igamma_: igamma_ +igammac: igammac +igammac_: igammac_ +index: __getitem__ +index_add: index_add +index_add_: index_add_ +index_copy: index_copy_ +index_copy_: index_copy_ +index_fill: index_fill_ +index_fill_: index_fill_ +index_put: index_put_ +index_put_: index_put_ +index_reduce: index_select +index_select: index_select +is_pinned: is_pinned +is_same_size: is_same_size +isinf: isinf +isnan: isnan +isneginf: isneginf +isposinf: isposinf +istft: istft +item: item +lcm: lcm +lcm_: lcm_ +le: le +le_: le_ +leaky_relu: LeakyReLU +leaky_relu_: leaky_relu_ +lerp: lerp +lerp_: lerp_ +less: less +less_: less_ +less_equal: le +less_equal_: less_equal_ +lgamma: lgamma +lgamma_: lgamma_ +linalg_cholesky_ex: cholesky +linalg_cross: cross +linalg_householder_product: householder_product +linalg_inv_ex: inv +linalg_ldl_factor_ex: ldl +linalg_ldl_solve: ldl_solve +linalg_lu: lu +linalg_lu_factor_ex: lu_factor +linalg_lu_solve: lu_solve +linalg_matrix_exp: matrix_exp +linalg_qr: qr +linalg_solve_triangular: solve +linalg_vector_norm: norm +linspace: linspace +log: log +log10: log10 +log10_: log10_ +log1p: log1p +log1p_: log1p_ +log2: log2 +log2_: log2_ +log_: log_ +log_normal: LogNormal +log_sigmoid_forward: log_sigmoid +logaddexp: logaddexp +logaddexp2: logaddexp2 +_native_batch_norm_legit_functional: batch_norm +logcumsumexp: logcumsumexp +logical_and: logical_and +logical_and_: logical_and_ +logical_not: logical_not +logical_not_: logical_not_ +logical_or: logical_or +logical_or_: logical_or_ +logical_xor: logical_xor +logical_xor_: logical_xor_ +logit: logit +logit_: logit_ +logspace: logspace +logsumexp: logsumexp +lstm: LSTM +lt: lt +lt_: lt_ +lu_unpack: lu_unpack +margin_ranking_loss: margin_ranking_loss +masked_fill: masked_fill +masked_fill_: masked_fill_ +matmul: matmul +max: max +max_pool2d_with_indices: MaxPool2d +max_pool3d_with_indices: MaxPool3d +max_unpool2d: MaxUnpool2d +max_unpool3d: max_unpool3d +maximum: maximum +mean: mean +median: median +meshgrid: meshgrid +min: min +minimum: minimum +mish: Mish +mish_: mish_ +mm: mm +mode: mode +mse_loss: mse_loss +mul: mul +mul_: mul_ +multi_margin_loss: MultiMarginLoss +multilabel_margin_loss_forward: multilabel_margin_loss +multinomial: multinomial +multiply: multiply +multiply_: mul_ +mv: mv +mvlgamma: mvlgamma +mvlgamma_: mvlgamma_ +name: name +nan_to_num: nan_to_num +nan_to_num_: nan_to_num_ +nanmedian: nanmedian +nansum: nansum +narrow_copy: narrow +native_batch_norm: BatchNorm2d +native_dropout: dropout +native_group_norm: group_norm +native_layer_norm: LayerNorm +ne: ne +ne_: ne_ +neg: neg +neg_: neg_ +negative: neg +negative_: neg_ +new_empty: new_empty +new_empty_strided: new_empty_strided +new_full: new_full +new_ones: new_ones +new_zeros: new_zeros +nextafter: nextafter +nextafter_: nextafter_ +nll_loss: nll_loss +nll_loss2d_forward: NLLLoss2d +nll_loss_forward: NLLLoss +nonzero_static: nonzero +norm: norm +normal: normal +normal_: normal_ +not_equal: ne +not_equal_: ne_ +ones: ones +ones_like: ones_like +ormqr: ormqr +pairwise_distance: pairwise_distance +pdist: pdist +permute: permute +pin_memory: pin_memory +pixel_shuffle: PixelShuffle +polar: polar +polygamma: polygamma +positive: positive +pow: pow +pow_: pow_ +prelu: prelu +prod: prod +quantized_gru: GRU +quantized_lstm: LSTM +rad2deg: rad2deg +rad2deg_: rad2deg_ +rand: rand +rand_like: rand_like +randint: randint +randint_like: randint_like +randn: randn +randn_like: randn_like +randperm: randperm +reciprocal: reciprocal +reciprocal_: reciprocal_ +reflection_pad1d: reflection_pad1d +reflection_pad2d: reflection_pad2d +reflection_pad3d: ReflectionPad3d +relu: relu +relu6: relu6 +relu_: relu_ +remainder: remainder +remainder_: remainder_ +renorm: renorm +renorm_: renorm_ +repeat: repeat +repeat_interleave: repeat_interleave +replication_pad1d: ReplicationPad1d +replication_pad2d: replication_pad2d +replication_pad3d: replication_pad3d +resize_as_: resize_as_ +rnn_relu: RNN +rnn_tanh: RNN +roll: roll +rot90: rot90 +round: round +round_: round_ +rrelu_with_noise: RReLU +rrelu_with_noise_: rrelu_with_noise +rsqrt: rsqrt +rsqrt_: rsqrt_ +rsub: rsub +scalar_tensor: scalar_tensor +scatter: scatter_ +scatter_: scatter_ +scatter_add: scatter_add +scatter_add_: scatter_add_ +searchsorted: searchsorted +select: select +selu: selu +selu_: selu_ +sgn: sgn +sgn_: sgn_ +sigmoid: sigmoid +sigmoid_: sigmoid_ +sign: sign +sign_: sign_ +signbit: signbit +silu: silu +silu_: silu_ +sin: sin +sin_: sin_ +sinc: sinc +sinc_: sinc_ +sinh: sinh +sinh_: sinh_ +slice: slice +smooth_l1_loss: smooth_l1_loss +soft_margin_loss: soft_margin_loss +softplus: softplus +softshrink: softshrink +sort: sort +special_airy_ai: airy_ai +special_bessel_j0: j0 +special_bessel_j1: j1 +special_bessel_y0: y0 +special_bessel_y1: y1 +special_chebyshev_polynomial_t: chebyshev_t +special_chebyshev_polynomial_u: chebyshev_u +special_entr: entr +special_erfcx: erfcx +special_hermite_polynomial_h: hermite +special_hermite_polynomial_he: he +special_i0: i0 +special_i0e: i0e +special_i1: i1 +special_i1e: i1e +special_laguerre_polynomial_l: laguerre_l +special_log_ndtr: log_ndtr +special_modified_bessel_i0: i0 +special_modified_bessel_i1: i1 +special_modified_bessel_k0: k0 +special_modified_bessel_k1: i1 +special_ndtr: ndtr +special_ndtri: ndtri +special_scaled_modified_bessel_k0: i0e +special_scaled_modified_bessel_k1: scaled_modified_bessel_k1 +special_spherical_bessel_j0: spherical_jn +special_xlog1py: xlog1py +special_zeta: zeta +split: split +split_with_sizes: split +sqrt: sqrt +sqrt_: sqrt_ +square: square +square_: square_ +squeeze: squeeze +stack: stack +std: std +std_mean: std_mean +stft: stft +sub: sub +sub_: sub_ +subtract: sub +subtract_: subtract_ +sum: sum +t: t +t_: t_ +take: take +tan: tan +tan_: tan_ +tanh: tanh +tanh_: tanh_ +threshold: threshold +threshold_: threshold_ +to: to +topk: topk +trace: trace +transpose: transpose +transpose_: transpose_ +triangular_solve: triangular_solve +tril: tril +tril_: tril_ +tril_indices: tril_indices +triu: triu +triu_: triu_ +triu_indices: triu_indices +true_divide: true_divide +true_divide_: true_divide_ +trunc: trunc +trunc_: trunc_ +unbind: unbind +unfold: unfold +uniform: Uniform +uniform_: uniform_ +unsafe_chunk: unsafe_chunk +unsafe_split: split +unsafe_split_with_sizes: split_with_sizes +unsqueeze: unsqueeze +unsqueeze_: unsqueeze_ +upsample_bicubic2d: interpolate +upsample_bilinear2d: upsample_bilinear +upsample_nearest1d: interpolate +upsample_nearest2d: interpolate +upsample_nearest3d: interpolate +var: var +var_mean: var_mean +vdot: vdot +view: view +where: where +xlogy: xlogy +xlogy_: xlogy_ +zero: zeros +zero_: zero_ +zeros: zeros +zeros_like: zeros_like + + + diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/match.py b/debug/accuracy_tools/msprobe/pytorch/compare/match.py new file mode 100644 index 0000000000..2a46105bdf --- /dev/null +++ b/debug/accuracy_tools/msprobe/pytorch/compare/match.py @@ -0,0 +1,36 @@ +import os +import yaml +from msprobe.core.common.file_check import FileOpen +from msprobe.core.common.utils import CompareException + + +class AtenIrMapping(): + def __init__(self): + cur_path = os.path.dirname(os.path.realpath(__file__)) + yaml_path = os.path.join(cur_path, "mapping.yaml") + with FileOpen(yaml_path, 'r') as f: + self.aten_mapping = yaml.safe_load(f) + + def match(self, op1, op2): + if "Aten" in op1 and "Aten" not in op2: + return self.match_op(op1, op2) + else: + return self.match_op(op2, op1) + + def match_op(self, aten_op, torch_op): + try: + aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) + aten_op_raw_name = aten_op_raw_name_overload.split('.')[0] + torch_op_raw_name = '_'.join(torch_op.split("_")[1:-3]).lower() + except IndexError as e: + err_msg = f"Dump op name format error: {aten_op}, {torch_op}. Your dump data may be corrupted." + raise CompareException.INVALID_DATA_ERROR(err_msg) from e + matching_op = self.aten_mapping.get(aten_op_raw_name) + if matching_op is None: + return False + if matching_op.lower() == torch_op_raw_name: + return True + return False + + +graph_mapping = AtenIrMapping() diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index b32e6df609..a947a12f6d 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -1,27 +1,24 @@ import json -import multiprocessing import os.path -import sys import torch -import pandas as pd from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory -from msprobe.core.common.const import CompareConst, FileCheckConst +from msprobe.core.common.const import FileCheckConst -from msprobe.core.compare.utils import merge_tensor, get_un_match_accuracy, get_accuracy, read_op -from msprobe.core.compare.Multiprocessing_compute import ComparisonResult, _save_cmp_result, _handle_multi_process +from msprobe.core.compare.utils import get_un_match_accuracy, get_accuracy +from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator from msprobe.core.common.log import logger from msprobe.core.common.exceptions import FileCheckException + class PTComparator (Comparator): def __init__(self): - super().__init__() - + self.frame_name=PTComparator.__name__ def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] @@ -58,20 +55,7 @@ class PTComparator (Comparator): five_thousand_err_ratio_result=five_thousand_err_ratio_result ) - return _save_cmp_result(idx, cr, result_df, lock) - - - def gen_merge_list(self,json_data,op_name,stack_json_data,summary_compare,md5_compare): - op_data = json_data['data'][op_name] - op_parsed_list = read_op(op_data, op_name) - if op_name in stack_json_data: - op_parsed_list.append({'full_op_name': op_name, 'full_info': stack_json_data[op_name]}) - else: - op_parsed_list.append({'full_op_name': op_name, 'full_info': None}) - - merge_list = merge_tensor(op_parsed_list, summary_compare, md5_compare) - return merge_list - + return _save_cmp_result(idx, cr, result_df, lock) def compare_process(self,file_handles, stack_mode, fuzzy_match, summary_compare=False, md5_compare=False): npu_json_handle, bench_json_handle, stack_json_handle = file_handles @@ -138,33 +122,6 @@ class PTComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df - def make_result_table(self,result,md5_compare,summary_compare,stack_mode): - header = [] - if md5_compare: - header = CompareConst.MD5_COMPARE_RESULT_HEADER[:] - elif summary_compare: - header = CompareConst.SUMMARY_COMPARE_RESULT_HEADER[:] - else: - header = CompareConst.COMPARE_RESULT_HEADER[:] - - all_mode_bool = not (summary_compare or md5_compare) - if stack_mode: - if all_mode_bool: - header.append(CompareConst.STACK) - header.append(CompareConst.DATA_NAME) - else: - header.append(CompareConst.STACK) - else: - if all_mode_bool: - for row in result: - del row[-2] - header.append(CompareConst.DATA_NAME) - else: - for row in result: - del row[-1] - result_df = pd.DataFrame(result, columns=header) - return result_df - def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -174,16 +131,7 @@ class PTComparator (Comparator): if data_value.dtype == torch.bfloat16: data_value = data_value.to(torch.float32) data_value = data_value.numpy() - return data_value - - - def _do_multi_process(self,input_parma, result_df): - try: - result_df = _handle_multi_process(self.compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) - return result_df - except ValueError as e: - logger.error('result dataframe is not found.') - raise CompareException(CompareException.INVALID_DATA_ERROR) from e + return data_value def compare_core(self,input_parma, output_path, **kwargs): """ @@ -231,8 +179,9 @@ class PTComparator (Comparator): advisor = Advisor(result_df, output_path) advisor.analysis() - -def pt_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): + + +def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy_match=False): try: summary_compare, md5_compare = task_dumppath_get(input_param) check_configuration_param(stack_mode, auto_analyze, fuzzy_match) @@ -240,24 +189,13 @@ def pt_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu check_compare_param(input_param, output_path, summary_compare, md5_compare) except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') - sys.exit(error.code) + raise CompareException(error.code) from error ptComparator=PTComparator() ptComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, md5_compare=md5_compare) -def _compare_parser(parser): - parser.add_argument("-i", "--input_path", dest="input_path", type=str, - help=" The compare input path, a dict json.", required=True) - parser.add_argument("-o", "--output_path", dest="output_path", type=str, - help=" The compare task result out path.", required=True) - parser.add_argument("-s", "--stack_mode", dest="stack_mode", action="store_true", - help=" Whether to save stack info.", required=False) - parser.add_argument("-a", "--auto_analyze", dest="auto_analyze", action="store_false", - help=" Whether to give advisor.", required=False) - parser.add_argument("-f", "--fuzzy_match", dest="fuzzy_match", action="store_true", - help=" Whether to perform a fuzzy match on the api name.", required=False) diff --git a/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py index 012d42fafe..8433f0af69 100644 --- a/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/pytorch/debugger/precision_debugger.py @@ -36,7 +36,7 @@ class PrecisionDebugger: common_config, task_config = parse_json_config(config_path, task) self.task = common_config.task if self.task == Const.GRAD_PROBE: - GradientMonitor(task_config, model) + self.gm = GradientMonitor(common_config, task_config) return if step: common_config.step = step @@ -102,6 +102,14 @@ class PrecisionDebugger: raise Exception("PrecisionDebugger instance is not created.") cls._instance.service.step() + @classmethod + def monitor(cls, model): + if not cls._instance: + raise Exception("PrecisionDebugger instance is not created.") + if cls._instance.task != Const.GRAD_PROBE: + return + cls._instance.gm.monitor(model) + def iter_tracer(func): def func_wrapper(*args, **kwargs): diff --git a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py index edd28635da..36aec34e04 100644 --- a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py +++ b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_monitor.py @@ -2,54 +2,38 @@ import os from collections import defaultdict import torch -from torch.optim.optimizer import register_optimizer_step_pre_hook +if int(torch.__version__.split('.')[0]) >= 2: + from torch.optim.optimizer import register_optimizer_step_pre_hook from msprobe.pytorch.grad_probe.grad_stat_csv import GradStatCsv from msprobe.core.grad_probe.utils import check_numeral_list_ascend, data_in_list_target -from msprobe.core.grad_probe.constant import GradConst +from msprobe.core.grad_probe.constant import GradConst, level_adp from msprobe.core.common.file_check import create_directory from msprobe.core.common.log import logger -from msprobe.core.common.utils import remove_path, write_csv +from msprobe.core.common.utils import remove_path, write_csv, save_npy from msprobe.pytorch.common.utils import get_rank_id, print_rank_0, save_pt class GradientMonitor: - level_adp = { - "L0": { - "header": [GradConst.MD5, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], - "have_grad_direction": False - }, - "L1": { - "header": [GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], - "have_grad_direction": True - }, - "L2": { - "header": [GradConst.DISTRIBUTION, GradConst.MAX, GradConst.MIN, GradConst.NORM, GradConst.SHAPE], - "have_grad_direction": True - }, - } - def __init__(self, config, model): - self._config = config._config - self._model = model - level = self._config.get("level") - if level not in GradientMonitor.level_adp: - raise Exception(f"level is valid, not in {GradientMonitor.level_adp.keys()}") - self._level_adp = GradientMonitor.level_adp[level] - self._param_list = self._config.get('param_list') - self._target_ranks = self._config.get("rank") + def __init__(self, common_config, task_config): + level = task_config.grad_level + if level not in level_adp: + raise Exception(f"level is valid, not in {level_adp.keys()}") + self._level_adp = level_adp[level] + self._param_list = task_config.param_list + self._target_ranks = common_config.rank logger.info(f"target rank {self._target_ranks}") - self._target_step = self._config.get("step") + self._target_step = common_config.step logger.info(f"target step {self._target_step}") - self._bounds = self._config.get("bounds") + self._bounds = task_config.bounds check_numeral_list_ascend(self._bounds) - self._output_path = self._config.get("output_path") + self._output_path = common_config.dump_path if not os.path.exists(self._output_path): create_directory(self._output_path) else: logger.warning(f"the file in {self._output_path} will be recoverd") self._step = -1 self._param2name = defaultdict(str) - self._monitor() @property def output_path(self): @@ -61,12 +45,12 @@ class GradientMonitor: create_directory(save_path) param_grad = grad.clone().detach() is_positive = param_grad > 0 - save_filepath = os.path.join(save_path, f"{param_name}.pt") - save_pt(is_positive, save_filepath) + save_filepath = os.path.join(save_path, f"{param_name}.npy") + save_npy(is_positive.numpy(), save_filepath) - def _monitor(self): + def monitor(self, model): print_rank_0("> parameter names:") - for name, param in self._model.named_parameters(): + for name, param in model.named_parameters(): self._param2name[param] = name print_rank_0(f"\t{name}") setattr(self, "_rank", get_rank_id()) @@ -102,5 +86,5 @@ class GradientMonitor: header_result = GradStatCsv.generate_csv_header(self._level_adp, self._bounds) output_lines.insert(0, header_result) write_csv(output_lines, output_path) - - register_optimizer_step_pre_hook(optimizer_pre_step_hook) + if int(torch.__version__.split('.')[0]) >= 2: + register_optimizer_step_pre_hook(optimizer_pre_step_hook) diff --git a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py index ae01b75ee1..757a1aebf7 100644 --- a/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py +++ b/debug/accuracy_tools/msprobe/pytorch/grad_probe/grad_stat_csv.py @@ -63,13 +63,15 @@ class CSV_distribution(CsvItem): def generate_csv_header(csv_header_input): bounds = csv_header_input.bounds intervals = [] - for i, _ in enumerate(bounds): - if i == 0: - intervals.append(f"(-inf, {bounds[i]}]") - else: + if bounds: + intervals.append(f"(-inf, {bounds[0]}]") + for i in range(1, len(bounds)): intervals.append(f"({bounds[i-1]}, {bounds[i]}]") - intervals.extend([f"({bounds[-1]}, inf)", "=0"]) - return intervals + if intervals: + intervals.append(f"({bounds[-1]}, inf)") + intervals.append("=0") + + return intervals def generate_csv_content(csv_content_input): grad = csv_content_input.grad diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index daba5476ca..2db6980bbc 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -96,7 +96,9 @@ class RunUTConfig(BaseConfig): class GradToolConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) - self._config = json_config + self.grad_level = json_config.get("grad_level") + self.param_list = json_config.get("param_list") + self.bounds = json_config.get("bounds") def parse_task_config(task, json_config): diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py index 30212d95e6..fb408e83bb 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py @@ -19,7 +19,7 @@ from unittest.mock import patch, mock_open from msprobe.core.common.const import Const from msprobe.mindspore.ms_config import (parse_json_config, parse_task_config, - TensorConfig, StatisticsConfig, OverflowCheckConfig) + TensorConfig, StatisticsConfig, OverflowCheckConfig, FreeBenchmarkConfig) class TestMsConfig(TestCase): @@ -64,6 +64,9 @@ class TestMsConfig(TestCase): task_config = parse_task_config("overflow_check", mock_json_config) self.assertTrue(isinstance(task_config, OverflowCheckConfig)) + task_config = parse_task_config("free_benchmark", mock_json_config) + self.assertTrue(isinstance(task_config, FreeBenchmarkConfig)) + with self.assertRaises(Exception) as context: - parse_task_config("free_benchmark", mock_json_config) + parse_task_config("unsupported_task", mock_json_config) self.assertEqual(str(context.exception), "task is invalid.") diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py new file mode 100644 index 0000000000..25189a9b65 --- /dev/null +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_primitive_dump.py @@ -0,0 +1,82 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import os + +import unittest +from unittest.mock import Mock, patch +import copy +from msprobe.core.common.utils import Const +from msprobe.mindspore.service import Service +import mindspore +from mindspore.common.tensor import Tensor +from mindspore import ops +from mindspore import nn +from msprobe.core.common.exceptions import MsprobeException +from msprobe.core.common_config import CommonConfig, BaseConfig +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from unittest.mock import MagicMock +import numpy as np + + +class DummyModel(nn.Cell): + def __init__(self): + super(DummyModel, self).__init__() + self.dense = nn.Dense(2, 2) + + def construct(self, x): + return self.dense(x) +class TestService(unittest.TestCase): + def setUp(self): + json_config = { + "task": "statistics", + "dump_path": "/absolute_path", + "rank": [], + "step": [0, 2], + "level": "L1" + } + + common_config = CommonConfig(json_config) + task_config = BaseConfig(json_config) + config = DebuggerConfig(common_config, task_config) + self.service = Service(config) + self.service.model = Mock() + self.service.data_collector = Mock() + self.service.switch = True # Make sure the switch is on for testing + + def test_check_model_valid_none(self): + model = None + self.assertIsNone(self.service.check_model_valid(model)) + + def test_check_model_valid_valid_model(self): + model = DummyModel() + self.assertEqual(self.service.check_model_valid(model), model) + + def test_check_model_valid_invalid_model(self): + model = "invalid_model" + with self.assertRaises(MsprobeException) as context: + self.service.check_model_valid(model) + + # For the purpose of the test, let's also verify the expected exception message + expected_message = "[msprobe] 无效参数： model 参数必须是 mindspore.nn.Cell 类型。" + self.assertEqual(str(context.exception), expected_message) + + def test_update_primitive_counters(self): + primitive_name = "test_primitive" + self.service.update_primitive_counters(primitive_name) + self.assertEqual(self.service.primitive_counters[primitive_name], 0) + self.service.update_primitive_counters(primitive_name) + self.assertEqual(self.service.primitive_counters[primitive_name], 1) diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py index 41be7b1db6..cdc88a3beb 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_task_handler_factory.py @@ -21,6 +21,7 @@ from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.dump.kernel_graph_dump import KernelGraphDump from msprobe.mindspore.task_handler_factory import TaskHandlerFactory +from msprobe.mindspore.common.const import Const class TestTaskHandlerFactory(TestCase): @@ -43,6 +44,7 @@ class TestTaskHandlerFactory(TestCase): common_config = CommonConfig(json_config) task_config = BaseConfig(json_config) config = DebuggerConfig(common_config, task_config) + config.execution_mode = Const.GRAPH_GE_MODE handler = TaskHandlerFactory.create(config) self.assertTrue(isinstance(handler, KernelGraphDump)) @@ -52,7 +54,7 @@ class TestTaskHandlerFactory(TestCase): TaskHandlerFactory.create(config) self.assertEqual(str(context.exception), "Can not find task handler") - config.task = "free_benchmark" + config.task = "Free_benchmark" with self.assertRaises(Exception) as context: TaskHandlerFactory.create(config) self.assertEqual(str(context.exception), "valid task is needed.") diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py index 176b80068f..e140f82638 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/advisor/test_advisor.py @@ -7,8 +7,8 @@ from unittest.mock import patch import pandas -from msprobe.pytorch.advisor.advisor import Advisor -from msprobe.pytorch.advisor.advisor_const import AdvisorConst +from msprobe.core.advisor.advisor import Advisor +from msprobe.core.advisor.advisor_const import AdvisorConst class TestAdvisor(unittest.TestCase): diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py index 288e259c0a..b08b09c852 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/compare/test_acc_compare.py @@ -1,7 +1,10 @@ # coding=utf-8 import unittest import pandas as pd -from msprobe.pytorch.compare import acc_compare as compare +from msprobe.core.compare.check import check_graph_mode +from msprobe.core.compare.utils import merge_tensor, read_op, get_accuracy, rename_api +from msprobe.core.compare.highlight import find_error_rows,find_compare_result_error_rows +from msprobe.pytorch.compare.pt_compare import PTComparator npu_dict = {'op_name': ['Functional_conv2d_0_forward_input.0', 'Functional_conv2d_0_forward_input.1', 'Functional_conv2d_0_forward_input.2', 'Functional_conv2d_0_forward_output'], @@ -208,60 +211,62 @@ class TestUtilsMethods(unittest.TestCase): def test_check_graph_mode(self): op1 = "Aten" op2 = "torch" - self.assertTrue(compare.check_graph_mode(op1, op2)) - self.assertTrue(compare.check_graph_mode(op2, op1)) - self.assertFalse(compare.check_graph_mode(op1, op1)) - self.assertFalse(compare.check_graph_mode(op2, op2)) + self.assertTrue(check_graph_mode(op1, op2)) + self.assertTrue(check_graph_mode(op2, op1)) + self.assertFalse(check_graph_mode(op1, op1)) + self.assertFalse(check_graph_mode(op2, op2)) def test_check_op(self): fuzzy_match = False - result = compare.check_op(npu_dict, bench_dict, fuzzy_match) + ptComparator=PTComparator() + result = ptComparator.check_op(npu_dict, bench_dict, fuzzy_match) self.assertEqual(result, True) def test_merge_tensor(self): - op_dict = compare.merge_tensor(tensor_list, True, False) + op_dict = merge_tensor(tensor_list, True, False) self.assertEqual(op_dict, result_op_dict) def test_read_op(self): - result = compare.read_op(op_data, op_name) + result = read_op(op_data, op_name) self.assertEqual(result, op_result) def test_match_op(self): fuzzy_match = False - a, b = compare.match_op([npu_dict], [bench_dict], fuzzy_match) + ptComparator=PTComparator() + a, b = ptComparator.match_op([npu_dict], [bench_dict], fuzzy_match) self.assertEqual(a, 0) self.assertEqual(b, 0) def test_get_accuracy(self): result = [] - compare.get_accuracy(result, npu_dict, bench_dict, highlight_dict) + get_accuracy(result, npu_dict, bench_dict, highlight_dict) self.assertEqual(result, o_result) def test_get_accuracy_graph_mode(self): result = [] - compare.get_accuracy(result, npu_dict_aten, bench_dict_functional, highlight_dict) + get_accuracy(result, npu_dict_aten, bench_dict_functional, highlight_dict) self.assertEqual(result, aten_result) def test_find_error_rows(self): summary_result = [summary_line_input, summary_line_1, summary_line_2, summary_line_3] highlight_dict = {'red_rows': [], 'yellow_rows': []} - compare.find_error_rows(summary_result, 0, 1, highlight_dict, summary_compare=True) + find_error_rows(summary_result, 0, 1, highlight_dict, summary_compare=True) self.assertEqual(highlight_dict, {'red_rows': [], 'yellow_rows': []}) def test_find_compare_result_error_rows(self): result = [line_input, line_1, line_2, line_3] result_df = pd.DataFrame(result) highlight_dict = {'red_rows': [], 'yellow_rows': []} - compare.find_compare_result_error_rows(result_df, highlight_dict, False, False) + find_compare_result_error_rows(result_df, highlight_dict, False, False) self.assertEqual(highlight_dict, {'red_rows': [num_1, num_3], 'yellow_rows': [num_2]}) def test_rename_api(self): test_name_1 = "Distributed.broadcast.0.forward.input.0" expect_name_1 = "Distributed.broadcast.input.0" - actual_name_1 = compare.rename_api(test_name_1, "forward") + actual_name_1 = rename_api(test_name_1, "forward") self.assertEqual(actual_name_1, expect_name_1) test_name_2 = "Torch.sum.0.backward.output.0" expect_name_2 = "Torch.sum.output.0" - actual_name_2 = compare.rename_api(test_name_2, "backward") + actual_name_2 = rename_api(test_name_2, "backward") self.assertEqual(actual_name_2, expect_name_2) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py index 399efeb42d..8be3be413f 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/free_benchmark/result_handlers/test_result_handler.py @@ -15,6 +15,7 @@ from msprobe.pytorch.free_benchmark.common.params import DataParams, make_handle from msprobe.pytorch.free_benchmark.result_handlers.handler_factory import ( FuzzHandlerFactory, ) +from msprobe.pytorch.free_benchmark.result_handlers.base_handler import FuzzHandler class Config(ABC): @@ -119,3 +120,21 @@ class TestFuzzHandler(TestCase): api_threshld, ThresholdConfig.DTYPE_PER_THD[torch.float16] ) + + def test_tensor_split_for_error_calculate(self): + # 设置模拟的张量的大小 + tensor_size = 256 * 1024 * 1024 + origin_output = torch.randn(tensor_size, dtype=torch.float32) + perturbed_output = torch.randn(tensor_size, dtype=torch.float32) + + # 调用tensor_split_for_error_calculate方法 + origin_output_chunks, perturbed_output_chunks = FuzzHandler.tensor_split_for_error_calculate( + origin_output, perturbed_output) + + # 验证返回的chunks数量和形状是否正确 + self.assertEqual(len(origin_output_chunks), 64) + self.assertEqual(len(perturbed_output_chunks), 64) + for chunk in origin_output_chunks: + self.assertEqual(chunk.shape, (4 * 1024 * 1024,)) + for chunk in perturbed_output_chunks: + self.assertEqual(chunk.shape, (4 * 1024 * 1024,)) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py index bd569f5a29..f39d3f091f 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_csv.py @@ -4,6 +4,7 @@ import os import torch from msprobe.pytorch.grad_probe.grad_stat_csv import GradStatCsv from msprobe.pytorch.grad_probe.grad_monitor import GradientMonitor +from msprobe.core.grad_probe.constant import level_adp grad_tensor = torch.tensor([[-2, 2], [0.2, 0.3]]) @@ -11,27 +12,27 @@ grad_tensor = torch.tensor([[-2, 2], [0.2, 0.3]]) class TestGradCSV(unittest.TestCase): def test_level_L0_header(self): self.assertEqual(['param_name', 'MD5', 'max', 'min', 'norm', 'shape'], - GradStatCsv.generate_csv_header(GradientMonitor.level_adp["L0"], [-1, 0, 1])) + GradStatCsv.generate_csv_header(level_adp["L0"], [-1, 0, 1])) def test_level_L1_header(self): self.assertEqual(['param_name', 'max', 'min', 'norm', 'shape'], - GradStatCsv.generate_csv_header(GradientMonitor.level_adp["L1"], [-1, 0, 1])) + GradStatCsv.generate_csv_header(level_adp["L1"], [-1, 0, 1])) def test_level_L2_header(self): self.assertEqual(['param_name', '(-inf, -1]', '(-1, 0]', '(0, 1]', '(1, inf)', '=0', 'max', 'min', 'norm', 'shape'], - GradStatCsv.generate_csv_header(GradientMonitor.level_adp["L2"], [-1, 0, 1])) + GradStatCsv.generate_csv_header(level_adp["L2"], [-1, 0, 1])) def test_level_L0_content(self): - generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", GradientMonitor.level_adp["L0"], grad_tensor, [-1, 0, 1]) + generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", level_adp["L0"], grad_tensor, [-1, 0, 1]) self.assertEqual(['model.conv2d', '678a6c7d9d9716682b56fda097d0936c', 2.0, -2.0, 2.851315498352051, [2, 2]], generated_csv_line) def test_level_L1_content(self): - generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", GradientMonitor.level_adp["L1"], grad_tensor, [-1, 0, 1]) + generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", level_adp["L1"], grad_tensor, [-1, 0, 1]) self.assertEqual(['model.conv2d', 2.0, -2.0, 2.851315498352051, [2, 2]], generated_csv_line) def test_level_L2_content(self): - generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", GradientMonitor.level_adp["L2"], grad_tensor, [-1, 0, 1]) + generated_csv_line = GradStatCsv.generate_csv_line("model.conv2d", level_adp["L2"], grad_tensor, [-1, 0, 1]) self.assertEqual(['model.conv2d', 0.25, 0.0, 0.5, 0.25, 0.0, 2.0, -2.0, 2.851315498352051, [2, 2]], generated_csv_line) diff --git a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py index d79cca5028..607addd69b 100644 --- a/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py +++ b/debug/accuracy_tools/msprobe/test/pytorch_ut/grad_probe/test_grad_monitor.py @@ -10,15 +10,24 @@ from msprobe.core.grad_probe.grad_compare import GradComparator from msprobe.pytorch.grad_probe.grad_monitor import GradientMonitor from msprobe.pytorch.pt_config import GradToolConfig +class config: + def __init__(self, config_dict): + for key, value in config_dict.items(): + setattr(self, key, value) -config_dict = { - "level": "L1", - "param_list": "", +common_config_dict = { "rank": [], "step": [], - "bounds": [-1,0,1], - "output_path": "./grad_output" + "dump_path": "./grad_output" +} +common_config = config(common_config_dict) + +task_config_dict = { + "grad_level": "L1", + "param_list": "", + "bounds": [-1,0,1] } +task_config = config(task_config_dict) def seed_all(seed=1234, mode=False): random.seed(seed) @@ -53,7 +62,8 @@ def get_grad_monitor(): nn.init.constant_(test_module.linear.bias, 1.0) optimizer = torch.optim.SGD(test_module.parameters(), lr=1e-2) - gm = GradientMonitor(GradToolConfig(config_dict), test_module) + gm = GradientMonitor(common_config, task_config) + gm.monitor(test_module) for input_data, label in zip(inputs, labels): 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zhSLffcIP|~{{(EpO#>RY?fHVze-_*xJn8Q|70W7_Y1p3wsqlp|V*pv3!prHUH)Rjz z>g2ek=%ZwZbe_?SEUmPh&7f1;ntf3==b=Sme&n2i>p(k0XUU0hIB$%GMvalKW;i=* zB%Rm!AvaV1fzBDxJjaB@uz?z4>_`{=0q#JZ_2!2}kuLfiv4efA4|s2!_vI$gWuxSF zRe14Ux1$kYme zf+Bdg{}gB_viG)~6Wk_zLiE4Bc%Y#EQ9S)q{tc*M0QZVe6aDvvp9U1vyF}wZ<==o< zGBBJd51{xHSVWWqF#ZXwM1TX16{QC#v4LAeJpr3s;4U6qu(TLG0Gs>0O9lQZ_VIt$ Pden*W!(H?L!}vb{h$=q7 diff --git a/profiler/advisor/README.md b/profiler/advisor/README.md index 7702711055..04dd0b8434 100644 --- a/profiler/advisor/README.md +++ b/profiler/advisor/README.md @@ -62,19 +62,21 @@ msprof-analyze的advisor功能是将Ascend PyTorch Profiler或者msprof采集的 #### 命令功能介绍 -| dimension | mode | 参数释义 | -| ---------- | -------------------------- | ---------------------------------------- | -| overall | overall_summary | 计算、通信、空闲等维度对性能数据进行拆解 | -| cluster | slow_rank | 慢卡识别 | -| | slow_link | 慢链路识别 | -| computing | aicpu | AI CPU调优 | -| | dynamic_shape_analysis | 识别动态Shape算子 | -| | block_dim_analysis | block dim算子调优 | -| | operator_no_bound_analysis | operator no bound | -| | graph | 融合算子图调优 | -| | freq_analysis | AI Core算子降频分析 | -| scheduling | timeline_fusion_ops | 亲和API替换调优 | -| | timeline_op_dispatch | 识别算子下发问题(路径3/路径5) | +| dimension | mode | 参数释义 | +| ---------- |---------------------------------------| ------------------------------------ | +| overall | overall_summary | 计算、通信、空闲等维度对性能数据进行拆解 | +| cluster | slow_rank | 慢卡识别 | +| | slow_link | 慢链路识别 | +| | communication_retransmission_analysis |通信重传检测 | +| computing | aicpu | AI CPU调优 | +| | dynamic_shape_analysis | 识别动态Shape算子 | +| | block_dim_analysis | block dim算子调优 | +| | operator_no_bound_analysis | operator no bound | +| | graph | 融合算子图调优 | +| | freq_analysis | AI Core算子降频分析 | +|communication| packet_analysis |通信小包检测 | +| scheduling | timeline_fusion_ops | 亲和API替换调优 | +| | timeline_op_dispatch | 识别算子下发问题(路径3/路径5) | - all @@ -126,11 +128,14 @@ msprof-analyze的advisor功能是将Ascend PyTorch Profiler或者msprof采集的 ![输入图片说明](./img/cluster.png) -cluster模块的分析包含快慢卡和快慢链路分析，仅识别问题，不提供调优建议。 +cluster模块的分析 +1. 包含快慢卡和快慢链路分析，仅识别问题，不提供调优建议。 +2. 通信重传检测分析，识别发生重传的通信域并提供调优建议。 如下图示例，识别到当前训练任务的通信和下发（free较多说明存在任务下发存在问题）存在问题。 ![cluster_1](./img/cluster_1.png) - +如下图所示，识别到当前训练任务存在通信重传问题，并提供调优建议 +![cluster_2](./img/cluster_2.png) overall模块的分析包含当前训练任务慢卡的性能拆解，按照计算、通信和下发三个维度进行耗时的统计，可以基于该分析识别到训练性能瓶颈是计算、通信还是下发问题，同样不提供调优建议。 ![输入图片说明](./img/overall_0.png) @@ -159,6 +164,9 @@ computation模块从device计算性能维度进行分析，能够识别AI CPU、 ![computation_1](./img/computation_1.png) +communication模块从通信维度进行分析，目前支持通信小算子检测。 +![communication](./img/communication.png) + ## 工具使用（Jupyter Notebook方式） Jupyter Notebook使用方式如下： diff --git a/profiler/advisor/analyzer/base_analyzer.py b/profiler/advisor/analyzer/base_analyzer.py index ada1b0bf4f..80368e1d60 100644 --- a/profiler/advisor/analyzer/base_analyzer.py +++ b/profiler/advisor/analyzer/base_analyzer.py @@ -81,7 +81,11 @@ class BaseAnalyzer(VersionControl, metaclass=ABCMeta): for dataset_cls in dataset_cls_list: if dataset_cls and callable(dataset_cls): - dataset = dataset_cls(collection_path=self.collection_path, data=self.dataset_list, **self.kwargs) + try: + dataset = dataset_cls(collection_path=self.collection_path, data=self.dataset_list, **self.kwargs) + except Exception as e: + logger.error(e) + continue key = dataset_cls.get_key() if key not in self.dataset_list: self.dataset_list[key] = [] diff --git a/profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py b/profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py new file mode 100644 index 0000000000..3683ef1b44 --- /dev/null +++ b/profiler/advisor/analyzer/cluster/Communication_retransmission_analyzer.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging + +from profiler.advisor.analyzer.base_analyzer import BaseAnalyzer +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.analyzer.cluster.Communication_retransmission_checker import CommunicationRetransmissionChecker +from profiler.advisor.display.html.render import HTMLRender +from profiler.advisor.dataset.cluster.cluster_dataset import ClusterCommunicationDataset + +logger = logging.getLogger() + + +class RDMARetransmissionAnalyzer(BaseAnalyzer): + dataset_cls_list = [ClusterCommunicationDataset] + + def __init__(self, collection_path, n_processes: int = 1, **kwargs) -> None: + super().__init__(collection_path, n_processes, **kwargs) + key = ClusterCommunicationDataset.get_key() + self.dataset = self.get_first_data_by_key(self.dataset_list, key) + self.result = OptimizeResult() + self.html_render = HTMLRender() + self.html = None + + @BaseAnalyzer.check_data((ClusterCommunicationDataset.get_key(),)) + def optimize(self, **kwargs): + add_render_list = kwargs.get("add_render_list", True) + rdma_checker = CommunicationRetransmissionChecker(**kwargs) + rdma_checker.check_retransmission(self.dataset) + if not rdma_checker.rdma_issues: + return self.result + rdma_checker.make_record(self.result) + self.html = rdma_checker.make_render(self.html_render, add_render_list) + return self.result diff --git a/profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py b/profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py new file mode 100644 index 0000000000..cc0f688e84 --- /dev/null +++ b/profiler/advisor/analyzer/cluster/Communication_retransmission_checker.py @@ -0,0 +1,128 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import os +from typing import Dict, List +from collections import defaultdict +from profiler.advisor.dataset.cluster.cluster_dataset import ClusterCommunicationDataset +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.result.item import OptimizeItem, OptimizeRecord +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.dataset.cluster.hccl_collection import HcclInfo + +logger = logging.getLogger() + + +class GroupStatistic: + def __init__(self, min_transmission_time): + self.retransmission_issue = False + self.abnormal_op_dict: Dict[str, List] = dict() + + def add_op(self, op_name: str, hccl_info: HcclInfo): + if self.abnormal_op_dict.get(op_name) is None: + self.abnormal_op_dict.setdefault(op_name, []) + self.abnormal_op_dict.get(op_name).append([hccl_info.group, op_name, hccl_info.step, hccl_info.rank, + hccl_info.get_rdma_transit_size(), + hccl_info.get_rdma_transmit_time(), hccl_info.get_rdma_bandwidth()]) + + +class CommunicationRetransmissionChecker: + def __init__(self, **kwargs): + self.rdma_issues = False + self.desc = "" + self.sdma_desc = "" + self.rdma_desc = "" + self.suggestions = [] + self.abnormal_group_count = 0 + self.abnormal_rdma_list = [] + self.step_id = kwargs.get("step") + self.stage = None + self.group_statistics = defaultdict(GroupStatistic) + self.headers = ["Communication group", "Op name", "Step id", "Rank id", "RDMA transmit size(MB)", + "RDMA transmit time(ms)", "RDMA bandwidth"] + self._init_rule() + + def check_possible_retransmission_occurrence(self, hccl_list: List[HcclInfo]): + min_elapse_time = min(hccl.elapse_time for hccl in hccl_list) + max_transit_time = max(hccl.rdma_info.get('Transit Time(ms)', 0) for hccl in hccl_list) + if min_elapse_time < self.min_retransmission_time: # 检测是否是卡间不同步问题，而不是重传 + return False + return max_transit_time > self.min_retransmission_time + + def check_retransmission(self, hccl_dataset: ClusterCommunicationDataset): + """ + :Param event_dataset: dataset of timeline event + """ + for group_name, hccl_group_dict in hccl_dataset.hccl_dict.items(): + for op_name, hccl_op_dict in hccl_group_dict.items(): + for step_id, hccl_list in hccl_op_dict.items(): + if self.step_id and step_id != self.step_id: # 传输指定step（self.step_id）情况下，非目标step跳过 + continue + if not self.check_possible_retransmission_occurrence(hccl_list): + continue + self.rdma_issues = True + if self.group_statistics.get(group_name) is None: + self.group_statistics.setdefault(group_name, GroupStatistic(self.min_retransmission_time)) + self.abnormal_group_count += 1 + for hccl_info in hccl_list: + if hccl_info.rdma_info.get('Transit Size(MB)', 0): + transit_time = hccl_info.rdma_info.get('Transit Time(ms)', 0) + if transit_time > self.min_retransmission_time: + self.group_statistics.get(group_name).add_op(op_name, hccl_info) + if self.rdma_issues: + self.desc = self.desc.format(group_count=self.abnormal_group_count) + for _, group_statistic in self.group_statistics.items(): + for _, op_list in group_statistic.abnormal_op_dict.items(): + for op in op_list: + self.abnormal_rdma_list.append(op) + + def make_record(self, result: OptimizeResult): + """ + make record for what and how to optimize + """ + optimization_item = OptimizeItem("Communication retransmission analysis", self.desc, self.suggestions) + result.add(OptimizeRecord(optimization_item)) + + sub_table_name = "Comm Retransmission Analysis" if not self.stage else f"Stage-{self.stage}: Comm Retransmission Analysis" + result.add_detail(sub_table_name, headers=self.headers) + + for row in self.abnormal_rdma_list: + result.add_detail(sub_table_name, detail=row) + + def make_render(self, html_render, add_render_list=True): + return html_render.render_template(key="cluster", + template_dir="templates", + template_name="communication_retransmission_analysis.html", + desc=self.desc, + solutions=self.solutions, + headers=self.headers, + data=self.abnormal_rdma_list + ) + + def _init_rule(self): + syncbn_rule_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))), + "rules", + "rdma_analysis.yaml" + ) + + syncbn_rule = FileManager.read_yaml_file(syncbn_rule_path) + self.desc = syncbn_rule.get("problem") + self.min_retransmission_time = syncbn_rule.get("min_retransmission_time") + + self.solutions = syncbn_rule.get("solutions") + for solution in self.solutions: + for key, val in solution.items(): + self.suggestions.append(f"{key}, {val.get('desc')}") diff --git a/profiler/advisor/analyzer/communication/packet_analyzer.py b/profiler/advisor/analyzer/communication/packet_analyzer.py new file mode 100644 index 0000000000..73e5bc2bc9 --- /dev/null +++ b/profiler/advisor/analyzer/communication/packet_analyzer.py @@ -0,0 +1,46 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging + +from profiler.advisor.analyzer.base_analyzer import BaseAnalyzer +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.analyzer.communication.packet_checker import PacketChecker +from profiler.advisor.display.html.render import HTMLRender +from profiler.advisor.dataset.communication.communication_dataset import CommunicationDataset + +logger = logging.getLogger() + + +class PacketAnalyzer(BaseAnalyzer): + dataset_cls_list = [CommunicationDataset] + + def __init__(self, collection_path, n_processes: int = 1, **kwargs) -> None: + super().__init__(collection_path, n_processes, **kwargs) + key = CommunicationDataset.get_key() + self.dataset = self.get_first_data_by_key(self.dataset_list, key) + self.result = OptimizeResult() + self.html_render = HTMLRender() + self.html = None + + @BaseAnalyzer.check_data((CommunicationDataset.get_key(),)) + def optimize(self, **kwargs): + add_render_list = kwargs.get("add_render_list", True) + packet_checker = PacketChecker(**kwargs) + packet_checker.check_packet(self.dataset) + if not packet_checker.packet_issues: + return self.result + packet_checker.make_record(self.result) + self.html = packet_checker.make_render(self.html_render, add_render_list) + return self.result diff --git a/profiler/advisor/analyzer/communication/packet_checker.py b/profiler/advisor/analyzer/communication/packet_checker.py new file mode 100644 index 0000000000..3d9ac81ffd --- /dev/null +++ b/profiler/advisor/analyzer/communication/packet_checker.py @@ -0,0 +1,148 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import os +from profiler.advisor.dataset.communication.communication_dataset import CommunicationDataset +from profiler.advisor.result.result import OptimizeResult +from profiler.advisor.result.item import OptimizeItem, OptimizeRecord +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.utils.utils import convert_to_float + +logger = logging.getLogger() + + +class Statistic: + def __init__(self, min_ratio, min_size, desc, type_): + self.issue = False + self.count = 0 + self.abnormal_count = 0 + self.abnormal_duration = 0 + self.abnormal_ratio = 0 + self.min_ratio = min_ratio + self.min_size = min_size + self.desc = desc + self.type = type_ + + def check_threshold(self): + if self.count and self.abnormal_count: + self.abnormal_ratio = self.abnormal_count / self.count + if self.abnormal_ratio > self.min_ratio: + self.issue = True + return self.issue + + def process(self, hccl_info): + info = dict() + if self.type == "SDMA": + info = hccl_info.sdma_info + elif self.type == "RDMA": + info = hccl_info.rdma_info + if info.get('Transit Size(MB)', 0): + packet_size = info.get('Transit Size(MB)', 0) + if packet_size < self.min_size: + self.abnormal_count += 1 + self.abnormal_duration += info.get('Transit Time(ms)', 0) + self.count += 1 + + def adapt(self, dst_headers: list, src_headers, datas: list): + if not self.issue: + return False + dst_headers.extend(src_headers) + datas.extend([self.count, self.abnormal_count, self.abnormal_ratio, self.abnormal_duration]) + self.desc = self.desc.format( + abnormal_sdma_ratio=f"{round(self.abnormal_ratio, 4):.2%}", + min_sdma_size=self.min_size, + abnormal_sdma_time=round(self.abnormal_duration, 4)) + return True + + +class PacketChecker: + def __init__(self, **kwargs): + self.packet_issues = False + self.desc = "" + self.sdma_desc = "" + self.rdma_desc = "" + self.suggestions = [] + self.min_sdma_size = 0 + self.min_rdma_size = 0 + self.min_sdma_ratio = 0 + self.min_rdma_ratio = 0 + self.step_id = kwargs.get("step") + self.stage = None + self.packet_issues = False + self._init_rule() + self.sdma_statistic = Statistic(self.min_sdma_ratio, self.min_sdma_size, self.sdma_desc, "SDMA") + self.rdma_statistic = Statistic(self.min_rdma_ratio, self.min_rdma_size, self.rdma_desc, "RDMA") + self.small_packet_detail = [] + self.headers = [] + self.sdma_headers = ["SDMA total count", "Small SDMA count", "Small SDMA ratio", "Small SDMA duration(ms)"] + self.rdma_headers = ["RDMA total count", "Small RDMA count", "Small RDMA ratio", "Small RDMA duration(ms)"] + + def check_packet(self, hccl_dataset: CommunicationDataset): + for step_id, hccl_list in hccl_dataset.hccl_dict.items(): + if self.step_id and step_id != self.step_id: + continue + for hccl_info in hccl_list: + self.sdma_statistic.process(hccl_info) + self.rdma_statistic.process(hccl_info) + self.sdma_statistic.check_threshold() + self.rdma_statistic.check_threshold() + if self.sdma_statistic.adapt(self.headers, self.sdma_headers, self.small_packet_detail): + self.packet_issues = True + self.desc += self.sdma_statistic.desc + if self.rdma_statistic.adapt(self.headers, self.rdma_headers, self.small_packet_detail): + self.packet_issues = True + self.desc += self.rdma_statistic.desc + + def make_record(self, result: OptimizeResult): + """ + make record for what and how to optimize + """ + optimization_item = OptimizeItem("Packet analysis", self.desc, self.suggestions) + result.add(OptimizeRecord(optimization_item)) + + sub_table_name = "Packet Analysis" if not self.stage else f"Stage-{self.stage}: Packet Analysis" + result.add_detail(sub_table_name, headers=self.headers) + result.add_detail(sub_table_name, detail=self.small_packet_detail) + + def make_render(self, html_render, add_render_list=True): + return html_render.render_template(key="communication", + template_dir="templates", + template_name="packet_analysis.html", + desc=self.desc, + solutions=self.solutions, + headers=self.headers, + data=self.small_packet_detail + ) + + def _init_rule(self): + syncbn_rule_path = os.path.join( + os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))), + "rules", + "packet.yaml" + ) + + syncbn_rule = FileManager.read_yaml_file(syncbn_rule_path) + self.desc = syncbn_rule.get("problem") + self.sdma_desc = syncbn_rule.get("sdma_problem") + self.rdma_desc = syncbn_rule.get("rdma_problem") + self.min_sdma_size = convert_to_float(syncbn_rule.get("min_sdma_size")) + self.min_rdma_size = convert_to_float(syncbn_rule.get("min_rdma_size")) + self.min_sdma_ratio = convert_to_float(syncbn_rule.get("min_sdma_ratio")) + self.min_rdma_ratio = convert_to_float(syncbn_rule.get("min_rdma_ratio")) + + self.solutions = syncbn_rule.get("solutions") + for solution in self.solutions: + for key, val in solution.items(): + self.suggestions.append(f"{key}, {val.get('desc')}") diff --git a/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py b/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py index 5ea4dbd754..7afa09cca4 100644 --- a/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py +++ b/profiler/advisor/analyzer/computation/ai_core_freq/ai_core_freq_checker.py @@ -49,7 +49,7 @@ class AICoreFreqChecker: max_freq = max(self.DEFAULT_FREQ, convert_to_float(Config().get_config("aic_frequency"))) decrease_freq_ratio = sum(max_freq - freq for freq in freq_list) / (max_freq * len(freq_list)) - if decrease_freq_ratio >= self.DECREASE_FREQ_RATIO: + if decrease_freq_ratio >= Config().get_config("frequency_threshold"): self.ai_core_freq_issues = True self.decrease_freq_ops.append([op_name, op_count, op_total_duration, f"{round(decrease_freq_ratio, 4):.2%}", diff --git a/profiler/advisor/common/analyzer_scopes.py b/profiler/advisor/common/analyzer_scopes.py index 52e3e07554..3d20374d49 100644 --- a/profiler/advisor/common/analyzer_scopes.py +++ b/profiler/advisor/common/analyzer_scopes.py @@ -1,3 +1,17 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. class SupportedScopes: # used for specify fourth-level commands and define the key of the result dict @@ -6,6 +20,8 @@ class SupportedScopes: GRAPH = "graph" SLOW_RANK = "slow_rank" SLOW_LINK = "slow_link" + COMMUNICATION_RETRANSMISSION_DETECTION = "communication_retransmission_analysis" + PACKET = "packet_analysis" OVER_ALL = "over_all" DYNAMIC_SHAPE_ANALYSIS = "dynamic_shape_analysis" AICPU_ANALYSIS = "aicpu_analysis" diff --git a/profiler/advisor/common/constant.py b/profiler/advisor/common/constant.py index 06186080d1..cdc0dd4e5d 100644 --- a/profiler/advisor/common/constant.py +++ b/profiler/advisor/common/constant.py @@ -123,6 +123,20 @@ MAX_RETRIES = 3 TIMEOUT = 3 ADVISOR_RULE_PATH = "ADVISOR_RULE_PATH" +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. CLOUD_RULE_PATH = "rules/cloud/" DEFAULT_RULE_PATH = "./rules/" @@ -137,6 +151,7 @@ CLUSTER_ANALYSIS_OUTPUT = "cluster_analysis_output" KERNEL_DETAILS_CSV = "kernel_details.csv" CLUSTER_STEP_TIME_CSV = "cluster_step_trace_time.csv" CLUSTER_COMM_JSON = "cluster_communication.json" +COMMUNICATION_JSON = "communication.json" BOTTLENECK = "bottleneck" DATA = "data" diff --git a/profiler/advisor/dataset/cluster/cluster_dataset.py b/profiler/advisor/dataset/cluster/cluster_dataset.py index e1163f1cdd..b4956139c5 100644 --- a/profiler/advisor/dataset/cluster/cluster_dataset.py +++ b/profiler/advisor/dataset/cluster/cluster_dataset.py @@ -1,3 +1,17 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import logging import os @@ -10,6 +24,7 @@ from profiler.cluster_analyse.common_func.constant import Constant from collections import defaultdict from profiler.cluster_analyse.cluster_analysis import Interface from profiler.advisor.dataset.cluster.cluster_step_trace_time_bean import ClusterStepTraceTimeBean +from profiler.advisor.dataset.cluster.hccl_collection import HcclInfo logger = logging.getLogger() @@ -114,6 +129,7 @@ class ClusterCommunicationDataset(ClusterDataset): self.SDMA_TIME_MS: 0, self.SDMA_SIZE_MB: 0, }) + self.hccl_dict = defaultdict(lambda: defaultdict(lambda: defaultdict(list))) super().__init__(collection_path, data) @staticmethod @@ -136,9 +152,26 @@ class ClusterCommunicationDataset(ClusterDataset): def process(self, communication_json: dict): for comm_group, group_dict in communication_json.items(): + if self.hccl_dict.get(comm_group) is None: + self.hccl_dict.setdefault(comm_group, defaultdict(lambda: defaultdict(list))) for step, step_dict in group_dict.items(): for op, op_dict in step_dict.items(): self.compute_bandwidth(op_dict) + self.process_hccl_info(comm_group, step, op, op_dict) + + def process_hccl_info(self, group, step, op, op_dict): + op_name = op.split("@")[0] + for rank_id, rank_dict in op_dict.items(): + try: + hccl_info = HcclInfo(group, step, rank_id, op, rank_dict) + if self.hccl_dict[group].get(op_name) is None: + self.hccl_dict[group].setdefault(op_name, defaultdict(list)) + if self.hccl_dict[group][op_name].get(step) is None: + self.hccl_dict[group][op_name].setdefault(step, list()) + self.hccl_dict[group][op_name][step].append(hccl_info) + except ValueError as e: + msg = "[ERROR] Cluster_communication.json has invalid structure." + raise ValueError(msg) from e def compute_bandwidth(self, op_dict: dict): for rank_id, rank_dict in op_dict.items(): diff --git a/profiler/advisor/dataset/cluster/hccl_collection.py b/profiler/advisor/dataset/cluster/hccl_collection.py new file mode 100644 index 0000000000..a9fa536efd --- /dev/null +++ b/profiler/advisor/dataset/cluster/hccl_collection.py @@ -0,0 +1,78 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +hccl info +""" +import logging + +logger = logging.getLogger() + + +class HcclInfo(): + def __init__(self, group: str, step: str, rank: str, op: str, rank_dict: dict) -> None: + self._group = group + self._step = step + self._rank = rank + self._name = op.split("@")[0] + self._elapse_time = self.get_elapse_time(rank_dict, "Elapse Time(ms)") + self._sdma_info = self.get_communication_info(rank_dict, "SDMA") + self._rdma_info = self.get_communication_info(rank_dict, "RDMA") + + @property + def group(self): + return self._group + + @property + def step(self): + return self._step + + @property + def rank(self): + return self._rank + + @property + def name(self): + return self._name + + @property + def rdma_info(self): + return self._rdma_info + + @property + def sdma_info(self): + return self._sdma_info + + @property + def elapse_time(self): + return self._elapse_time + + @staticmethod + def get_communication_info(rank_dict: dict, name: str): + communication_bandwidth_info = rank_dict.get('Communication Bandwidth Info', dict()) + return communication_bandwidth_info.get(name, dict()) + + @staticmethod + def get_elapse_time(rank_dict: dict, name: str): + communication_time_info = rank_dict.get('Communication Time Info', dict()) + return communication_time_info.get(name, "") + + def get_rdma_transmit_time(self): + return self.rdma_info.get('Transit Time(ms)', 0) + + def get_rdma_transit_size(self): + return self.rdma_info.get('Transit Size(MB)', 0) + + def get_rdma_bandwidth(self): + return self.rdma_info.get('Bandwidth(GB/s)', 0) diff --git a/profiler/advisor/dataset/communication/__init__.py b/profiler/advisor/dataset/communication/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/profiler/advisor/dataset/communication/communication_dataset.py b/profiler/advisor/dataset/communication/communication_dataset.py new file mode 100644 index 0000000000..6cfc870836 --- /dev/null +++ b/profiler/advisor/dataset/communication/communication_dataset.py @@ -0,0 +1,109 @@ +# Copyright (c) 2024, Huawei Technologies Co., Ltd. +# All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import logging +import os +from collections import defaultdict +from profiler.advisor.utils.utils import singleton +from profiler.advisor.common import constant as const +from profiler.cluster_analyse.common_func.file_manager import FileManager +from profiler.advisor.dataset.cluster.hccl_collection import HcclInfo +from profiler.advisor.utils.utils import CheckPathAccess + +logger = logging.getLogger() + + +@singleton +class CommunicationDataset: + RANK = "rank" + + def __init__(self, collection_path, data: dict, **kwargs) -> None: + self.timeline_dir = collection_path + self.timeline_data_list = self.get_file_path_from_directory(self.timeline_dir, + lambda file: file.endswith(const.COMMUNICATION_JSON)) + self.hccl_dict = defaultdict(list) + self.step = kwargs.get("step") + if self.parse(): + key = self.get_key() + if key not in data: + data[key] = [] + data[key].append(self) + + @staticmethod + def load_json_data(json_path): + if not os.path.exists(json_path): + msg = "[ERROR] cluster_communication.json doesn't exist, terminate analysis." + raise RuntimeError(msg) + data = FileManager.read_json_file(json_path) + return data + + @staticmethod + @CheckPathAccess + def get_file_path_from_directory(path, check_func): + """ + get file from directory + """ + file_list = [] + + if not path: + return file_list + + if not os.path.isdir(path): + logger.warning("Expected existed directory, but got %s", path) + + for root, _, files in os.walk(path): + if root.endswith("cluster_analysis_output"): + continue + for filename in files: + filepath = os.path.join(root, filename) + if check_func(filename): + file_list.append(filepath) + return file_list + + @classmethod + def get_key(cls): + """ + get key of dataset + :return: key + """ + return cls.__module__.rsplit('.', maxsplit=1)[-1] + + def parse(self): + if len(self.timeline_data_list) == 0: + logger.warning("Please ensure communication.json in %s, skip timeline analysis.", self.timeline_dir) + return False + + if len(self.timeline_data_list) > 1: + logger.warning("Found multiple communication.json in %s, load the file of device 0 for analysis .", + self.timeline_dir) + + json_data = self.load_json_data(sorted(self.timeline_data_list)[0]) + self.process(json_data) + return True + + def process(self, communication_json: dict): + for step, step_dict in communication_json.items(): + for group, group_dict in step_dict.items(): + for op, op_dict in group_dict.items(): + self.process_hccl_info(group, step, op, op_dict) + + def process_hccl_info(self, group, step, op, op_dict): + try: + hccl_info = HcclInfo(group, step, "None", op, op_dict) + if self.hccl_dict.get(step) is None: + self.hccl_dict.setdefault(step, list()) + self.hccl_dict[step].append(hccl_info) + except ValueError as e: + msg = "[ERROR] Cluster_communication.json has invalid structure." + raise ValueError(msg) from e diff --git a/profiler/advisor/display/html/templates/communication_retransmission_analysis.html b/profiler/advisor/display/html/templates/communication_retransmission_analysis.html new file mode 100644 index 0000000000..75754fde72 --- /dev/null +++ b/profiler/advisor/display/html/templates/communication_retransmission_analysis.html @@ -0,0 +1,40 @@ +
+

Communication Retransmission Analysis

+
+ {{ desc }} + + + + + + + {% for item in solutions %} + {% set rowloop = loop %} + {% for key, value in item.items() %} + + + + + {% endfor %} + {% endfor %} +
Suggestions
{{ rowloop.index }}. {{ value.desc }}
+

+ {{ desc }} + + + {% for header in headers %} + + {% endfor %} + + + {% for row in data %} + + {% for element in row %} + + {% endfor %} + + {% endfor %} +
{{ header }}
{{ element|safe }}
+ +
+
diff --git a/profiler/advisor/display/html/templates/packet_analysis.html b/profiler/advisor/display/html/templates/packet_analysis.html new file mode 100644 index 0000000000..07189a9263 --- /dev/null +++ b/profiler/advisor/display/html/templates/packet_analysis.html @@ -0,0 +1,23 @@ +
+

Packet Analysis

+
+ {{ desc }} + + + + + + + {% for item in solutions %} + {% set rowloop = loop %} + {% for key, value in item.items() %} + + + + + {% endfor %} + {% endfor %} +
Suggestions
{{ rowloop.index }}. {{ value.desc }}
+ +
+
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zmMvVUSXx>N>4GeOG9v=s?xN`|8d4LBx)XF3K1+iPIl%p;wl=oS(8S1~e&E4_1W<>k zwdvprqf{p`VDmc-wsj$HvDeZ`;lF%cJ10F(tQ+&4mXJ{FM6=ZL{+WgOR&ze5Ur&lTB*Rv9Z#bWon=8QIbb94 z2Ml}mRqKm!CBMJty)=j`RIxjF?;_XCRVAQCcu4s4g};6QCjnJGfgLy_3kwUe4FaHh z0YIQ(acKC;6{}Z!uMF`5O=`S;9W1pn None: args = AnalyzeDict(kwargs) - try: - ComparisonGenerator(args).run() - except RuntimeError as e: - print(f"[ERROR] {e}") + ComparisonGenerator(args).run() diff --git a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py index 7283c17b47..09d8688cf2 100644 --- a/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py +++ b/profiler/compare_tools/compare_backend/comparator/overall_performance_comparator.py @@ -64,6 +64,14 @@ class OverallPerformanceComparator(BaseComparator): else: comp_col.extend( [f'{comp_profiling_info.communication_not_overlapped: .3f}s({comp_profiling_info.wait_time:.3f}s)']) + if base_profiling_info.RDMA_bandwidth or comp_profiling_info.RDMA_bandwidth: + self._headers.extend(['RDMA Bandwidth']) + base_col.append(f'{base_profiling_info.RDMA_bandwidth:.3f}GB/s') + comp_col.append(f'{comp_profiling_info.RDMA_bandwidth:.3f}GB/s') + if base_profiling_info.SDMA_bandwidth or comp_profiling_info.SDMA_bandwidth: + self._headers.extend(['SDMA Bandwidth']) + base_col.append(f'{base_profiling_info.SDMA_bandwidth:.3f}GB/s') + comp_col.append(f'{comp_profiling_info.SDMA_bandwidth:.3f}GB/s') if base_profiling_info.sdma_time or comp_profiling_info.sdma_time: self._headers.append('SDMA Time(Num)') base_col.append(f'{base_profiling_info.sdma_time:.3f}s({base_profiling_info.sdma_num})') diff --git a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py index e0a80a4d30..c639aba5c0 100644 --- a/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py +++ b/profiler/compare_tools/compare_backend/compare_bean/profiling_info.py @@ -8,31 +8,15 @@ class ProfilingInfo: def __init__(self, profiling_type: str): self.profiling_type = profiling_type - self.cube_time = 0.0 self.other_time = 0.0 - self.vec_time = 0.0 - self.cube_num = 0 - self.vec_num = 0 - self.sdma_num = 0 - self.fa_num_fwd = 0 - self.fa_num_bwd = 0 - self.pa_num = 0 self.lccl_num = 0 - self.conv_time_fwd = 0.0 - self.conv_time_bwd = 0.0 - self.conv_num_fwd = 0 - self.conv_num_bwd = 0 self.compute_time = 0.0 self.communication_not_overlapped = 0.0 self.wait_time = 0.0 self.memory_used = 0.0 self.e2e_time = 0.0 - self.sdma_time = 0.0 self.scheduling_time = 0.0 - self.fa_time_bwd = 0.0 - self.pa_time = 0.0 self.lccl_time = 0.0 - self.fa_time_fwd = 0.0 self.minimal_profiling = False self.hide_op_details = False self.is_level0 = False @@ -76,6 +60,8 @@ class ProfilingInfo: self.other_cube_time = 0.0 self.other_cube_num = 0 + self.RDMA_bandwidth = 0.0 + self.SDMA_bandwidth = 0.0 @property def e2e_time_ms(self): @@ -136,61 +122,78 @@ class ProfilingInfo: def vector_total_num(self): return sum((self.vector_num_trans, self.vector_num_notrans)) - def trans_time_to_s(self): - self.cube_time = self.cube_time / 10 ** 6 - self.other_time = self.other_time / 10 ** 6 - self.vec_time = self.vec_time / 10 ** 6 - self.compute_time = self.compute_time / 10 ** 6 - self.communication_not_overlapped = self.communication_not_overlapped / 10 ** 6 - self.wait_time = self.wait_time / 10 ** 6 - self.e2e_time = self.e2e_time / 10 ** 6 - self.sdma_time = self.sdma_time / 10 ** 6 - self.scheduling_time = self.scheduling_time / 10 ** 6 - self.fa_time_bwd = self.fa_time_bwd / 10 ** 6 - self.fa_time_fwd = self.fa_time_fwd / 10 ** 6 - self.pa_time = self.pa_time / 10 ** 6 - self.lccl_time = self.lccl_time / 10 ** 6 - self.conv_time_fwd = self.conv_time_fwd / 10 ** 6 - self.conv_time_bwd = self.conv_time_bwd / 10 ** 6 + @property + def cube_time(self): + return ( + self.matmul_time_cube + self.matmul_time_vector + self.other_cube_time) / Constant.MILLISECONDS_TO_SECONDS - # 新指标单位为ms - self.fa_time_fwd_cube /= 10 ** 3 - self.fa_time_bwd_cube /= 10 ** 3 - self.fa_time_fwd_vector /= 10 ** 3 - self.fa_time_bwd_vector /= 10 ** 3 - self.conv_time_fwd_cube /= 10 ** 3 - self.conv_time_bwd_cube /= 10 ** 3 - self.conv_time_fwd_vector /= 10 ** 3 - self.conv_time_bwd_vector /= 10 ** 3 - self.matmul_time_cube /= 10 ** 3 - self.matmul_time_vector /= 10 ** 3 - self.vector_time_trans /= 10 ** 3 - self.vector_time_notrans /= 10 ** 3 - self.sdma_time_tensor_move /= 10 ** 3 - self.sdma_time_stream /= 10 ** 3 - self.page_attention_time /= 10 ** 3 - self.other_cube_time /= 10 ** 3 + @property + def vec_time(self): + return (self.vector_time_trans + self.vector_time_notrans) / Constant.MILLISECONDS_TO_SECONDS + + @property + def cube_num(self): + return self.matmul_num_cube + self.matmul_num_vector + self.other_cube_num + + @property + def vec_num(self): + return self.vector_num_trans + self.vector_num_notrans + + @property + def sdma_num(self): + return self.sdma_num_tensor_move + self.sdma_num_stream + + @property + def fa_num_fwd(self): + return self.fa_num_fwd_cube + self.fa_num_fwd_vector + @property + def fa_num_bwd(self): + return self.fa_num_bwd_cube + self.fa_num_bwd_vector + + @property + def pa_num(self): + return self.page_attention_num + + @property + def pa_time(self): + return self.page_attention_time / Constant.MILLISECONDS_TO_SECONDS + + @property + def conv_time_fwd(self): + return (self.conv_time_fwd_cube + self.conv_time_fwd_vector) / Constant.MILLISECONDS_TO_SECONDS + + @property + def conv_time_bwd(self): + return (self.conv_time_bwd_cube + self.conv_time_bwd_vector) / Constant.MILLISECONDS_TO_SECONDS + + @property + def conv_num_fwd(self): + return self.conv_num_fwd_cube + self.conv_num_fwd_vector + + @property + def conv_num_bwd(self): + return self.conv_num_bwd_cube + self.conv_num_bwd_vector + + @property + def sdma_time(self): + return (self.sdma_time_tensor_move + self.sdma_time_stream) / Constant.MILLISECONDS_TO_SECONDS + + @property + def fa_time_fwd(self): + return (self.fa_time_fwd_cube + self.fa_time_fwd_vector) / Constant.MILLISECONDS_TO_SECONDS + + @property + def fa_time_bwd(self): + return (self.fa_time_bwd_cube + self.fa_time_bwd_vector) / Constant.MILLISECONDS_TO_SECONDS def calculate_other_time(self): self.other_time = max( [0, self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd - self.pa_time - self.vec_time - self.conv_time_fwd - self.conv_time_bwd]) - def calculate_vec_time(self): - self.vec_time = self.compute_time - self.cube_time - self.fa_time_fwd - self.fa_time_bwd \ - - self.conv_time_fwd - self.conv_time_bwd - def calculate_schedule_time(self): self.scheduling_time = (self.e2e_time - self.compute_time - self.lccl_time - self.communication_not_overlapped) - def update_fa_fwd_info(self, time: float): - self.fa_time_fwd += time - self.fa_num_fwd += 1 - - def update_fa_bwd_info(self, time: float): - self.fa_time_bwd += time - self.fa_num_bwd += 1 - def update_fa_fwd_cube_info(self, time: float): self.fa_time_fwd_cube += time self.fa_num_fwd_cube += 1 @@ -215,22 +218,10 @@ class ProfilingInfo: self.sdma_time_stream += time self.sdma_num_stream += num - def update_pa_info(self, time: float): - self.pa_time += time - self.pa_num += 1 - def update_lccl_info(self, time: float): self.lccl_time += time self.lccl_num += 1 - def update_conv_fwd_info(self, time: float): - self.conv_time_fwd += time - self.conv_num_fwd += 1 - - def update_conv_bwd_info(self, time: float): - self.conv_time_bwd += time - self.conv_num_bwd += 1 - def update_conv_bwd_cube_info(self, time: float): self.conv_time_bwd_cube += time self.conv_num_bwd_cube += 1 @@ -267,18 +258,6 @@ class ProfilingInfo: self.vector_time_notrans += time self.vector_num_notrans += 1 - def update_sdma_info(self, time: float, num: int = 1): - self.sdma_time += time - self.sdma_num += num - - def update_cube_info(self, time: float): - self.cube_time += time - self.cube_num += 1 - - def update_vec_info(self, time: float): - self.vec_time += time - self.vec_num += 1 - def update_other_cube_info(self, time: float): self.other_cube_time += time self.other_cube_num += 1 @@ -306,3 +285,35 @@ class ProfilingInfo: def is_not_minimal_profiling(self) -> bool: return self.profiling_type == Constant.NPU and not self.minimal_profiling + + def set_RDMA_bandwidth(self, bandwidth: float): + self.RDMA_bandwidth = bandwidth + + def set_SDMA_bandwidth(self, bandwidth: float): + self.SDMA_bandwidth = bandwidth + + def trans_time_to_s(self): + # 新指标单位为ms + self.fa_time_fwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.fa_time_bwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.fa_time_fwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.fa_time_bwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_fwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_bwd_cube /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_fwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.conv_time_bwd_vector /= Constant.MILLISECONDS_TO_SECONDS + self.matmul_time_cube /= Constant.MILLISECONDS_TO_SECONDS + self.matmul_time_vector /= Constant.MILLISECONDS_TO_SECONDS + self.vector_time_trans /= Constant.MILLISECONDS_TO_SECONDS + self.vector_time_notrans /= Constant.MILLISECONDS_TO_SECONDS + self.sdma_time_tensor_move /= Constant.MILLISECONDS_TO_SECONDS + self.sdma_time_stream /= Constant.MILLISECONDS_TO_SECONDS + self.page_attention_time /= Constant.MILLISECONDS_TO_SECONDS + self.other_cube_time /= Constant.MILLISECONDS_TO_SECONDS + self.other_time /= Constant.MICROSECONDS_TO_SECONDS + self.compute_time /= Constant.MICROSECONDS_TO_SECONDS + self.communication_not_overlapped /= Constant.MICROSECONDS_TO_SECONDS + self.wait_time /= Constant.MICROSECONDS_TO_SECONDS + self.e2e_time /= Constant.MICROSECONDS_TO_SECONDS + self.scheduling_time /= Constant.MICROSECONDS_TO_SECONDS + self.lccl_time /= Constant.MICROSECONDS_TO_SECONDS diff --git a/profiler/compare_tools/compare_backend/comparison_generator.py b/profiler/compare_tools/compare_backend/comparison_generator.py index b07170b648..b4d17f88ed 100644 --- a/profiler/compare_tools/compare_backend/comparison_generator.py +++ b/profiler/compare_tools/compare_backend/comparison_generator.py @@ -12,13 +12,22 @@ class ComparisonGenerator: INTERFACE_DICT = {Constant.OVERALL_COMPARE: OverallInterface} def __init__(self, args): - self._args_manager = ArgsManager() - self._args_manager.init(args) + self._args_manager = ArgsManager(args) self._data_dict = {} def run(self): - self.load_data() - self.generate_compare_result() + try: + self._args_manager.init() + self.load_data() + self.generate_compare_result() + except NotImplementedError as e: + print(f"[ERROR] {e}") + except RuntimeError as e: + print(f"[ERROR] {e}") + except FileNotFoundError as e: + print(f"[ERROR] {e}") + except Exception as e: + print(f"[ERROR] {e}") def load_data(self): self._data_dict[Constant.BASE_DATA] = self.PARSER_DICT.get(self._args_manager.base_profiling_type)( @@ -37,8 +46,18 @@ class ComparisonGenerator: generator.join() def run_interface(self, compare_type: str) -> dict: - self.load_data() - interface = self.INTERFACE_DICT.get(compare_type) - if interface: - return interface(self._data_dict).run() + try: + self._args_manager.init() + self.load_data() + interface = self.INTERFACE_DICT.get(compare_type) + if interface: + return interface(self._data_dict).run() + except NotImplementedError as e: + print(f"[ERROR] {e}") + except RuntimeError as e: + print(f"[ERROR] {e}") + except FileNotFoundError as e: + print(f"[ERROR] {e}") + except Exception as e: + print(f"[ERROR] {e}") return {} diff --git a/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py b/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py index 7bac2b0335..65524664ee 100644 --- a/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py +++ b/profiler/compare_tools/compare_backend/disaggregate/overall_perf_interface.py @@ -15,9 +15,18 @@ class OverallPerfInterface: self._result_data = {} def run(self): - self._check_path() - self._load_data() - self._generate_result() + try: + self._check_path() + self._load_data() + self._generate_result() + except NotImplementedError as e: + print(f"[ERROR] {e}") + except RuntimeError as e: + print(f"[ERROR] {e}") + except FileNotFoundError as e: + print(f"[ERROR] {e}") + except Exception as e: + print(f"[ERROR] {e}") return self._result_data def _check_path(self): diff --git a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py index 0aeeba83ef..91b4094c2a 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/gpu_profiling_parser.py @@ -61,7 +61,6 @@ class GPUProfilingParser(BaseProfilingParser): def _update_overall_metrics(self): self._calculate_performance_time() self.__parse_memory_reserved() - self._result_data.overall_metrics.calculate_vec_time() self._result_data.overall_metrics.calculate_schedule_time() self._result_data.overall_metrics.trans_time_to_s() @@ -76,7 +75,6 @@ class GPUProfilingParser(BaseProfilingParser): min_ts = min(event.start_time, min_ts) max_ts = max(event.end_time, max_ts) if event.stream == self._compute_stream_id and self.__is_sdma_time(event.name): - self._result_data.overall_metrics.update_sdma_info(event.dur) self._result_data.overall_metrics.update_sdma_stream_info(event.dur) continue if not event.is_kernel_cat(): @@ -84,7 +82,6 @@ class GPUProfilingParser(BaseProfilingParser): self.__add_marks(event) if event.is_nccl_name(): continue - self.__add_compute_time(event, aten_events, flow_dict_new) self.categorize_computing_performance_data(event, flow_dict_new) self._aten_events = None self._result_data.overall_metrics.set_e2e_time(float(max_ts - min_ts)) @@ -104,23 +101,6 @@ class GPUProfilingParser(BaseProfilingParser): for timestep in range(int(event.start_time + 1), int(event.end_time + 1)): self._marks[str(timestep)] += -100 # mark this timestep in compute stream - def __add_compute_time(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict): - if self.__is_flash_attention(event.name): - if event.is_backward(): - self._result_data.overall_metrics.update_fa_bwd_info(event.dur) - else: - self._result_data.overall_metrics.update_fa_fwd_info(event.dur) - elif any(cube_mark in event.lower_name for cube_mark in self.CUBE_MARK): - is_conv = self.__check_is_conv(event, aten_events, flow_dict_new) - if is_conv == "conv_fwd": - self._result_data.overall_metrics.update_conv_fwd_info(event.dur) - elif is_conv == "conv_bwd": - self._result_data.overall_metrics.update_conv_bwd_info(event.dur) - else: - self._result_data.overall_metrics.update_cube_info(event.dur) - else: - self._result_data.overall_metrics.update_vec_info(event.dur) - def __check_is_conv(self, event: TraceEventBean, aten_events: list, flow_dict_new: dict) -> str: flow_start_time = flow_dict_new.get(event.start_time) if not flow_start_time: diff --git a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py index cb25c252c6..29e9fea8d7 100644 --- a/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py +++ b/profiler/compare_tools/compare_backend/profiling_parser/npu_profiling_parser.py @@ -22,6 +22,7 @@ class NPUProfilingParser(BaseProfilingParser): self._operator_memory_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "operator_memory.csv") self._memory_record_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "memory_record.csv") self._kernel_detail_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "kernel_details.csv") + self._communication_path = os.path.join(path_dict.get(Constant.ASCEND_OUTPUT_PATH, ""), "communication.json") self._info_json_path = path_dict.get(Constant.INFO_JSON_PATH, "") self._trace_events = [TraceEventBean(event) for event in self._trace_events] self._hccl_pid = None @@ -121,6 +122,35 @@ class NPUProfilingParser(BaseProfilingParser): return self._dequeue_data[left].corr_id if self._dequeue_data[left].start_time <= ts_time <= \ self._dequeue_data[left].end_time else Constant.INVALID_VALUE + def _update_bandwidth(self): + try: + communication_json = FileReader.read_trace_file(self._communication_path) + except FileNotFoundError: + print("[WARNING] The file communication.json does not exist.") + except Exception: + print("[ERROR] Failed to read communication.json.") + return + if not communication_json: + print("[WARNING] The communication.json file is empty.") + return + for _, group_dict in communication_json.items(): + step_dict = group_dict.get("collective", {}) + total_op_info = step_dict.get("Total Op Info", {}) + rdma_size_mb = rdma_time_ms = sdma_size_mb = sdma_time_ms = 0 + if "Communication Bandwidth Info" in total_op_info: + bandwidth_info = total_op_info["Communication Bandwidth Info"] + if "RDMA" in bandwidth_info: + rdma_info = bandwidth_info["RDMA"] + rdma_size_mb += rdma_info.get("Transit Size(MB)", 0) # 单位为 MB + rdma_time_ms += rdma_info.get("Transit Time(ms)", 0) # 单位为 MS + if "SDMA" in bandwidth_info: + sdma_info = bandwidth_info["SDMA"] + sdma_size_mb += sdma_info.get("Transit Size(MB)", 0) # 单位为 MB + sdma_time_ms += sdma_info.get("Transit Time(ms)", 0) # 单位为 MS + rdma_bandwidth = rdma_size_mb / rdma_time_ms if rdma_time_ms > 0 else 0 + sdma_bandwidth = sdma_size_mb / sdma_time_ms if sdma_time_ms > 0 else 0 + self._result_data.overall_metrics.set_RDMA_bandwidth(rdma_bandwidth) + self._result_data.overall_metrics.set_SDMA_bandwidth(sdma_bandwidth) def _update_overall_metrics(self): self.__parse_info_json() self.__parse_mem_csv() @@ -133,7 +163,7 @@ class NPUProfilingParser(BaseProfilingParser): self._result_data.overall_metrics.calculate_other_time() self._result_data.overall_metrics.calculate_schedule_time() self._result_data.overall_metrics.trans_time_to_s() - + self._update_bandwidth() def _picking_notify_wait_event_and_not_overlap_event(self): self.notify_event_cache = [] self._not_overlaped_commu_event = [] @@ -271,28 +301,6 @@ class NPUProfilingParser(BaseProfilingParser): self._result_data.overall_metrics.update_lccl_info(event.dur) def __parse_kernel_csv(self): - def __screen_data(kernel: KernelDetailsBean): - if kernel.is_flash_attention(): - if kernel.is_fa_bwd(): - self._result_data.overall_metrics.update_fa_bwd_info(kernel.duration) - else: - self._result_data.overall_metrics.update_fa_fwd_info(kernel.duration) - elif kernel.is_conv(): - if kernel.is_conv_bwd(): - self._result_data.overall_metrics.update_conv_bwd_info(kernel.duration) - else: - self._result_data.overall_metrics.update_conv_fwd_info(kernel.duration) - elif kernel.is_matmul(): - self._result_data.overall_metrics.update_cube_info(kernel.duration) - elif kernel.is_sdma(): - self._result_data.overall_metrics.update_sdma_info(kernel.duration) - elif kernel.is_page_attention(): - self._result_data.overall_metrics.update_pa_info(kernel.duration) - elif kernel.is_vector(): - self._result_data.overall_metrics.update_vec_info(kernel.duration) - else: - self._result_data.overall_metrics.update_cube_info(kernel.duration) - try: kernel_details = FileReader.read_csv_file(self._kernel_detail_path, KernelDetailsBean) except Exception: @@ -306,7 +314,6 @@ class NPUProfilingParser(BaseProfilingParser): for kernel in kernel_details: if kernel.is_invalid(): continue - __screen_data(kernel) self.categorize_computing_performance_data(kernel, flow_dict_new) def __parse_mem_csv(self): @@ -353,5 +360,4 @@ class NPUProfilingParser(BaseProfilingParser): compute_stream = event_wait_stream & ai_core_stream if event_wait_stream else ai_core_stream for stream in compute_stream: dur_list = sdma_dict.get(stream, []) - self._result_data.overall_metrics.update_sdma_info(sum(dur_list), len(dur_list)) self._result_data.overall_metrics.update_sdma_stream_info(sum(dur_list), len(dur_list)) diff --git a/profiler/compare_tools/compare_backend/utils/args_manager.py b/profiler/compare_tools/compare_backend/utils/args_manager.py index ab9fb43a96..579bf9b997 100644 --- a/profiler/compare_tools/compare_backend/utils/args_manager.py +++ b/profiler/compare_tools/compare_backend/utils/args_manager.py @@ -11,17 +11,17 @@ class Singleton(object): self._cls = cls self._instance = {} - def __call__(self): + def __call__(self, args): if self._cls not in self._instance: - self._instance[self._cls] = self._cls() + self._instance[self._cls] = self._cls(args) return self._instance[self._cls] @Singleton class ArgsManager: - def __init__(self): - self._args = None + def __init__(self, args: any): + self._args = args self._base_path_dict = {} self._comparison_path_dict = {} @@ -114,8 +114,7 @@ class ArgsManager: path_dict.update({Constant.INFO_JSON_PATH: os.path.join(file_path, dir_name)}) return path_dict - def init(self, args: any): - self._args = args + def init(self): if self._args.max_kernel_num is not None and self._args.max_kernel_num <= Constant.LIMIT_KERNEL: msg = f"Invalid param, --max_kernel_num has to be greater than {Constant.LIMIT_KERNEL}" raise RuntimeError(msg) diff --git a/profiler/compare_tools/compare_backend/utils/constant.py b/profiler/compare_tools/compare_backend/utils/constant.py index 252aa536e1..7247199202 100644 --- a/profiler/compare_tools/compare_backend/utils/constant.py +++ b/profiler/compare_tools/compare_backend/utils/constant.py @@ -6,6 +6,7 @@ class Constant(object): MAX_PATH_LENGTH = 4096 MAX_FLOW_CAT_LEN = 20 MAX_FILE_SIZE = 1024 * 1024 * 1024 * 5 + MAX_JSON_SIZE = 1024 * 1024 * 1024 * 10 BYTE_TO_KB = 1024 YELLOW_COLOR = "FFFF00" GREEN_COLOR = "00FF00" @@ -15,6 +16,8 @@ class Constant(object): US_TO_MS = 1000 KB_TO_MB = 1024 INVALID_VALUE = -1 + MILLISECONDS_TO_SECONDS = 10 ** 3 + MICROSECONDS_TO_SECONDS = 10 ** 6 # epsilon EPS = 1e-15 diff --git a/profiler/compare_tools/compare_backend/utils/file_reader.py b/profiler/compare_tools/compare_backend/utils/file_reader.py index b4ae786388..263888a3ec 100644 --- a/profiler/compare_tools/compare_backend/utils/file_reader.py +++ b/profiler/compare_tools/compare_backend/utils/file_reader.py @@ -7,7 +7,6 @@ from compare_backend.utils.constant import Constant class FileReader: - @classmethod def read_trace_file(cls, file_path: str) -> any: PathManager.check_path_readable(file_path) diff --git a/profiler/compare_tools/compare_interface/comparison_interface.py b/profiler/compare_tools/compare_interface/comparison_interface.py index 919095b310..b747aae478 100644 --- a/profiler/compare_tools/compare_interface/comparison_interface.py +++ b/profiler/compare_tools/compare_interface/comparison_interface.py @@ -21,7 +21,6 @@ class ComparisonInterface: def compare(self, compare_type: str) -> dict: if compare_type == Constant.OVERALL_COMPARE: self._args.enable_profiling_compare = True - return ComparisonGenerator(self._args).run_interface(compare_type) def disaggregate_perf(self, compare_type: str) -> dict: diff --git a/profiler/compare_tools/performance_compare.py b/profiler/compare_tools/performance_compare.py index 7c9d60aac0..7c3fcdb6ec 100644 --- a/profiler/compare_tools/performance_compare.py +++ b/profiler/compare_tools/performance_compare.py @@ -31,7 +31,6 @@ def main(): ComparisonGenerator(args).run() - if __name__ == "__main__": start_time = datetime.datetime.now() main() diff --git a/profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py b/profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py new file mode 100644 index 0000000000..eb383a6599 --- /dev/null +++ b/profiler/test/ut/advisor/cluster_advice/test_rdma_retransmission_advice.py @@ -0,0 +1,170 @@ +import os +import shutil +import stat +import json + +import unittest +from profiler.advisor.interface.interface import Interface +from profiler.advisor.common.analyzer_scopes import SupportedScopes + + +class TestRdmaAdvice(unittest.TestCase): + TMP_DIR = "./tmp/" + OUTPUT_DIR = "./tmp/cluster_analysis_output" + interface = None + err_interface = None + + def tearDown(self): + if os.path.exists(TestRdmaAdvice.TMP_DIR): + shutil.rmtree(TestRdmaAdvice.TMP_DIR) + if os.path.exists(TestRdmaAdvice.OUTPUT_DIR): + shutil.rmtree(TestRdmaAdvice.OUTPUT_DIR) + self.clear_htmls() + + def setUp(self): + if os.path.exists(TestRdmaAdvice.TMP_DIR): + shutil.rmtree(TestRdmaAdvice.TMP_DIR) + if not os.path.exists(TestRdmaAdvice.TMP_DIR): + os.makedirs(TestRdmaAdvice.TMP_DIR) + if not os.path.exists(TestRdmaAdvice.OUTPUT_DIR): + os.makedirs((TestRdmaAdvice.OUTPUT_DIR)) + self.clear_htmls() + + @classmethod + def clear_htmls(cls): + current_path = os.path.dirname(os.path.abspath(__file__)) + for filename in os.listdir(current_path): + # 检查文件是否以“mstt”开头 + if filename.startswith("mstt"): + # 构建文件的完整路径 + file_path = os.path.join(current_path, filename) + # 删除文件 + os.remove(file_path) + + @classmethod + def get_cluster_communication_view(cls): + data = {"p2p":{"step1" : { + "hcom_broadcast__844_0_1@13681369207305868844": { + "0": { + "Communication Time Info": { + "Start Timestamp(us)": 1713174287354248.0, + "Elapse Time(ms)": 4688, + "Transit Time(ms)": 0, + "Wait Time(ms)": 0.01162, + "Synchronization Time(ms)": 0.01162, + "Idle Time(ms)": 39.0606, + "Wait Time Ratio": 1.0, + "Synchronization Time Ratio": 1.0 + }, + "Communication Bandwidth Info": { + "RDMA": { + "Transit Size(MB)": 80, + "Transit Time(ms)": 4600, + "Bandwidth(GB/s)": 0.003, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "HCCS": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "PCIE": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SDMA": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SIO": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + } + } + }, + "16": { + "Communication Time Info": { + "Start Timestamp(us)": 1713174287186619.8, + "Elapse Time(ms)": 4788, + "Transit Time(ms)": 0.0013, + "Wait Time(ms)": 39.037240000000004, + "Synchronization Time(ms)": 39.03034, + "Idle Time(ms)": 167.66008000000002, + "Wait Time Ratio": 1.0, + "Synchronization Time Ratio": 1.0 + }, + "Communication Bandwidth Info": { + "RDMA": { + "Transit Size(MB)": 80, + "Transit Time(ms)": 4700, + "Bandwidth(GB/s)": 0.0033, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "HCCS": { + "Transit Size(MB)": 4e-05, + "Transit Time(ms)": 0.0013, + "Bandwidth(GB/s)": 0.0308, + "Large Packet Ratio": 0.0, + "Size Distribution": { + "4e-05": [ + 1, + 0.0013 + ] + } + }, + "PCIE": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SDMA": { + "Transit Size(MB)": 4e-05, + "Transit Time(ms)": 0.0013, + "Bandwidth(GB/s)": 0.0308, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SIO": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + } + } + }, + } + }}} + return data + + @classmethod + def create_communicaton_json(cls): + raw_data = cls.get_cluster_communication_view() + with os.fdopen(os.open(f"{TestRdmaAdvice.OUTPUT_DIR}/cluster_communication.json", + os.O_WRONLY | os.O_CREAT, stat.S_IWUSR | stat.S_IRUSR), 'w') as fp: + fp.write(json.dumps(raw_data)) + + def test_run_should_run_success_when_contain_cluster_communication_json(self): + self.create_communicaton_json() + interface = Interface(profiling_path=self.TMP_DIR) + dimension = "cluster" + scope = SupportedScopes.COMMUNICATION_RETRANSMISSION_DETECTION + result = interface.get_result(dimension, scope, render_html=1, output_dict=False, profiling_path=self.TMP_DIR) + self.assertEqual(2, len(result.data.get("Comm Retransmission Analysis", []))) + self.assertEqual(2, len(result.data.get("Comm Retransmission Analysis", []).get('data'))) + result.clear() diff --git a/profiler/test/ut/advisor/communication_advice/test_packet_advice.py b/profiler/test/ut/advisor/communication_advice/test_packet_advice.py new file mode 100644 index 0000000000..a8fd4549ec --- /dev/null +++ b/profiler/test/ut/advisor/communication_advice/test_packet_advice.py @@ -0,0 +1,175 @@ +import os +import shutil +import stat +import json + +import unittest +from profiler.advisor.interface.interface import Interface +from profiler.advisor.common.analyzer_scopes import SupportedScopes + + +class TestPacketAdvice(unittest.TestCase): + TMP_DIR = "./ascend_pt" + OUTPUT_DIR = "./ascend_pt/ASCEND_PROFILER_OUTPUT" + interface = None + err_interface = None + + def tearDown(self): + if os.path.exists(TestPacketAdvice.TMP_DIR): + shutil.rmtree(TestPacketAdvice.TMP_DIR) + self.clear_htmls() + + def setUp(self): + if os.path.exists(TestPacketAdvice.TMP_DIR): + shutil.rmtree(TestPacketAdvice.TMP_DIR) + if not os.path.exists(TestPacketAdvice.TMP_DIR): + os.makedirs(TestPacketAdvice.TMP_DIR) + if not os.path.exists(TestPacketAdvice.OUTPUT_DIR): + os.makedirs(TestPacketAdvice.OUTPUT_DIR) + self.clear_htmls() + + @classmethod + def clear_htmls(cls): + current_path = os.path.dirname(os.path.abspath(__file__)) + for filename in os.listdir(current_path): + # 检查文件是否以“att”开头 + if filename.startswith("mstt"): + # 构建文件的完整路径 + file_path = os.path.join(current_path, filename) + # 删除文件 + os.remove(file_path) + + @classmethod + def get_communication_view(cls): + data = {"step1":{"collective" : { + "hcom_broadcast__844_1_1@13681369207305868844": { + "Communication Time Info": { + "Start Timestamp(us)": 1713174287407957.0, + "Elapse Time(ms)": 0.06086, + "Transit Time(ms)": 0.00126, + "Wait Time(ms)": 0.014939999999999998, + "Synchronization Time(ms)": 0.00714, + "Idle Time(ms)": 0.044660000000000005, + "Wait Time Ratio": 0.9222, + "Synchronization Time Ratio": 0.85 + }, + "Communication Bandwidth Info": { + "RDMA": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "HCCS": { + "Transit Size(MB)": 0.028575999999999997, + "Transit Time(ms)": 0.008620000000000001, + "Bandwidth(GB/s)": 3.3151, + "Large Packet Ratio": 0.0, + "Size Distribution": { + "0.004224": [ + 6, + 0.00736 + ], + "0.003232": [ + 1, + 0.00126 + ] + } + }, + "PCIE": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SDMA": { + "Transit Size(MB)": 0.028575999999999997, + "Transit Time(ms)": 0.008620000000000001, + "Bandwidth(GB/s)": 3.3151, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SIO": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + } + } + }, + "hcom_allReduce__844_2_1@13681369207305868844": { + "Communication Time Info": { + "Start Timestamp(us)": 1713174287432401.2, + "Elapse Time(ms)": 2.9042, + "Transit Time(ms)": 1.35236, + "Wait Time(ms)": 1.47632, + "Synchronization Time(ms)": 1.44524, + "Idle Time(ms)": 0.07551999999999981, + "Wait Time Ratio": 0.5219, + "Synchronization Time Ratio": 0.5166 + }, + "Communication Bandwidth Info": { + "RDMA": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "HCCS": { + "Transit Size(MB)": 176.16076799999996, + "Transit Time(ms)": 9.55658, + "Bandwidth(GB/s)": 18.4335, + "Large Packet Ratio": 0.0, + "Size Distribution": { + "12.582912": [ + 14, + 9.55658 + ] + } + }, + "PCIE": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SDMA": { + "Transit Size(MB)": 176.16076799999996, + "Transit Time(ms)": 9.55658, + "Bandwidth(GB/s)": 18.4335, + "Large Packet Ratio": 0, + "Size Distribution": {} + }, + "SIO": { + "Transit Size(MB)": 0, + "Transit Time(ms)": 0, + "Bandwidth(GB/s)": 0, + "Large Packet Ratio": 0, + "Size Distribution": {} + } + } + }, + }}} + return data + + @classmethod + def create_communicaton_json(cls): + raw_data = cls.get_communication_view() + with os.fdopen(os.open(f"{TestPacketAdvice.OUTPUT_DIR}/communication.json", + os.O_WRONLY | os.O_CREAT, stat.S_IWUSR | stat.S_IRUSR), 'w') as fp: + fp.write(json.dumps(raw_data)) + + def test_run_should_run_success_when_ascend_pt_contain_communication_json(self): + self.create_communicaton_json() + interface = Interface(profiling_path=self.TMP_DIR) + dimension = "communication" + scope = SupportedScopes.PACKET + result = interface.get_result(dimension, scope, render_html=1, output_dict=False, profiling_path=self.TMP_DIR) + self.assertEqual(2, len(result.data.get("Packet Analysis", []))) + self.assertEqual(1, len(result.data.get("Packet Analysis", []).get('data'))) + result.clear() diff --git a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py index dc85b0af0a..59525f18f9 100644 --- a/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py +++ b/profiler/test/ut/compare_tools/compare_bean/test_profiling_info.py @@ -4,28 +4,6 @@ from compare_backend.compare_bean.profiling_info import ProfilingInfo class TestProfilingInfo(unittest.TestCase): - def test_calculate_other_time(self): - info = ProfilingInfo("NPU") - info.compute_time = 10 - info.cube_time = 1 - info.fa_time_fwd = 2 - info.fa_time_bwd = 2 - info.vec_time = 3 - info.calculate_other_time() - self.assertEqual(info.other_time, 2) - info.vec_time = 7 - info.calculate_other_time() - self.assertEqual(info.other_time, 0) - - def test_calculate_vec_time(self): - info = ProfilingInfo("NPU") - info.compute_time = 10 - info.cube_time = 1 - info.fa_time_fwd = 2 - info.fa_time_bwd = 2 - info.calculate_vec_time() - self.assertEqual(info.vec_time, 5) - def test_calculate_schedule_time(self): info = ProfilingInfo("NPU") info.e2e_time = 10 @@ -36,41 +14,50 @@ class TestProfilingInfo(unittest.TestCase): def test_update_fa_fwd_info(self): info = ProfilingInfo("NPU") - info.update_fa_fwd_info(5) - info.update_fa_fwd_info(5) - self.assertEqual(info.fa_time_fwd, 10) + info.fa_time_fwd_cube = 5 + info.fa_time_fwd_vector = 5 + info.fa_num_fwd_cube = 1 + info.fa_num_fwd_vector = 1 + self.assertEqual(info.fa_time_fwd, 0.01) self.assertEqual(info.fa_num_fwd, 2) def test_update_fa_bwd_info(self): info = ProfilingInfo("NPU") - info.update_fa_bwd_info(5) - info.update_fa_bwd_info(5) - self.assertEqual(info.fa_time_bwd, 10) + info.fa_time_bwd_cube = 5 + info.fa_time_bwd_vector = 5 + info.fa_num_bwd_cube = 1 + info.fa_num_bwd_vector = 1 + self.assertEqual(info.fa_time_bwd, 0.01) self.assertEqual(info.fa_num_bwd, 2) def test_update_sdma_info(self): info = ProfilingInfo("NPU") - info.update_sdma_info(5) - self.assertEqual(info.sdma_time, 5) - self.assertEqual(info.sdma_num, 1) - info.update_sdma_info(5, 5) - self.assertEqual(info.sdma_time, 10) - self.assertEqual(info.sdma_num, 6) + info.sdma_time_tensor_move = 5 + info.sdma_time_stream = 5 + info.sdma_num_tensor_move = 5 + info.sdma_num_stream = 5 + self.assertEqual(info.sdma_time, 0.01) + self.assertEqual(info.sdma_num, 10) def test_update_cube_info(self): info = ProfilingInfo("NPU") - info.update_cube_info(5) - info.update_cube_info(5) - self.assertEqual(info.cube_time, 10) - self.assertEqual(info.cube_num, 2) + info.matmul_time_cube = 1 + info.matmul_time_vector = 1 + info.other_cube_time = 1 + info.matmul_num_cube = 5 + info.matmul_num_vector = 5 + info.other_cube_num = 5 + self.assertEqual(info.cube_time, 0.003) + self.assertEqual(info.cube_num, 15) def test_update_vec_info(self): info = ProfilingInfo("NPU") - info.update_vec_info(5) - info.update_vec_info(5) - self.assertEqual(info.vec_time, 10) - self.assertEqual(info.vec_num, 2) - + info.vector_time_trans = 1 + info.vector_time_notrans = 1 + info.vector_num_trans = 2 + info.vector_num_notrans = 2 + self.assertEqual(info.vec_time, 0.002) + self.assertEqual(info.vec_num, 4) def test_set_compute_time(self): info = ProfilingInfo("NPU") info.update_compute_time(1) diff --git a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py index d7cb3d0588..25293d64a2 100644 --- a/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py +++ b/profiler/test/ut/compare_tools/profiling_parser/test_gpu_profiling_parser.py @@ -76,16 +76,12 @@ class TestGpuProfilingParser(unittest.TestCase): res._marks = defaultdict(int) res._calculate_performance_time() self.assertEqual(res._result_data.overall_metrics.e2e_time, 98) - self.assertEqual(res._result_data.overall_metrics.sdma_time, 4) + self.assertEqual(res._result_data.overall_metrics.sdma_time, 0.004) self.assertEqual(res._result_data.overall_metrics.sdma_num, 4) - self.assertEqual(res._result_data.overall_metrics.cube_time, 1) + self.assertEqual(res._result_data.overall_metrics.cube_time, 0.001) self.assertEqual(res._result_data.overall_metrics.cube_num, 1) - self.assertEqual(res._result_data.overall_metrics.fa_time_fwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_num_fwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_time_bwd, 2) - self.assertEqual(res._result_data.overall_metrics.fa_num_bwd, 2) - self.assertEqual(res._result_data.overall_metrics.vec_time, 2) - self.assertEqual(res._result_data.overall_metrics.vec_num, 2) # cun yi + self.assertEqual(res._result_data.overall_metrics.vec_time, 0.006) + self.assertEqual(res._result_data.overall_metrics.vec_num, 6) # cun yi self.assertEqual(res._result_data.overall_metrics.communication_not_overlapped, 2) self.assertEqual(res._result_data.overall_metrics.compute_time, 7) -- Gitee From a7c8b2bc0dec5e875704201a85421bd82bf1dba8 Mon Sep 17 00:00:00 2001 From: pxp1 <958876660@qq.com> Date: Fri, 9 Aug 2024 16:21:18 +0800 Subject: [PATCH 145/160] grad_probe READMD --- debug/accuracy_tools/msprobe/README.md | 12 +- .../msprobe/doc/grad_probe/grad_probe.md | 207 ++++++++++++++++++ .../msprobe/doc/grad_probe/img/image-1.png | Bin 0 -> 42344 bytes .../msprobe/doc/grad_probe/img/image-2.png | Bin 0 -> 26563 bytes .../msprobe/doc/grad_probe/img/image-3.png | Bin 0 -> 22581 bytes .../msprobe/doc/grad_probe/img/image-4.png | Bin 0 -> 22779 bytes .../msprobe/doc/grad_probe/img/image.png | Bin 0 -> 11977 bytes 7 files changed, 218 insertions(+), 1 deletion(-) create mode 100644 debug/accuracy_tools/msprobe/doc/grad_probe/grad_probe.md create mode 100644 debug/accuracy_tools/msprobe/doc/grad_probe/img/image-1.png create mode 100644 debug/accuracy_tools/msprobe/doc/grad_probe/img/image-2.png create mode 100644 debug/accuracy_tools/msprobe/doc/grad_probe/img/image-3.png create mode 100644 debug/accuracy_tools/msprobe/doc/grad_probe/img/image-4.png create mode 100644 debug/accuracy_tools/msprobe/doc/grad_probe/img/image.png diff --git a/debug/accuracy_tools/msprobe/README.md b/debug/accuracy_tools/msprobe/README.md index 42743c5078..a89592499e 100644 --- a/debug/accuracy_tools/msprobe/README.md +++ b/debug/accuracy_tools/msprobe/README.md @@ -21,7 +21,9 @@ Successfully installed mindstudio_probe-{version} ``` ### 下载whl包安装 -1. 使用pip命令安装numpy、openpyxl、pandas、PyYAML、rich、torch、tqdm依赖。 +1. 使用pip命令安装numpy、openpyxl、pandas、PyYAML、rich、tqdm、matplotlib依赖。 + + 根据自己的环境选择安装 torch、mindspore。 若环境中已安装部分依赖，不需要重复安装。 @@ -177,6 +179,14 @@ Required-by: MindSpore场景：暂不支持。 +6. 执行梯度采集和比对。 + + 用于采集梯度数据并进行梯度相似度比对。可以精准定位问题出现的step。 + + 详见[梯度状态监测工具](./doc/grad_probe/grad_probe.md)。 + + + 上述流程中的工具均为msprobe工具的子工具，使用相同的命令行，格式如下： 精度预检工具 diff --git a/debug/accuracy_tools/msprobe/doc/grad_probe/grad_probe.md b/debug/accuracy_tools/msprobe/doc/grad_probe/grad_probe.md new file mode 100644 index 0000000000..fcbd2f123d --- /dev/null +++ b/debug/accuracy_tools/msprobe/doc/grad_probe/grad_probe.md @@ -0,0 +1,207 @@ +# Ascend模型梯度状态监测工具 + +梯度状态监测工具提供了两种能力： + +- 将模型权重的梯度数据导出。这种功能可以将模型权重的梯度值以统计量的形式采集出来，用以分析问题。 +- 将两份梯度数据进行相似度对比。在有标杆问题中，可以确认训练过程中精度问题出现的step，以及抓取反向过程中的问题。 + +工具支持PyTorch版本：2.0/2.1/2.2；支持MindSpore版本：r2.3。 + +## 工具特性 + +- 使用便捷，无需在训练流程里插入代码 +- 可以精准定位问题出现的step + +## 使用方式 + +### 梯度数据导出 + +1. 创建配置文件config.json，样例如下： + + ```json + { + "task": "grad_probe", + "dump_path": "./dump_path", + "rank": [], + "step": [], + "grad_probe": { + "grad_level": "L1", + "param_list": [], + "bounds": [-1, 0, 1] + } + } + ``` + > step指的是优化器被调用的次数（并非模型跑的step，某些step，例如loss为nan时，不会调用优化器） + + **参数说明** + + | 参数 | 说明 | 输入类型 | 是否必选 | + |--------------------------------|-----------------------------------|-----------------|----------| + | task | 填为"grad_probe"。 | str | 是 | + | grad_level | 输出级别。决定导出数据的详细程度，级别越大导出数据越详细。可取值：L0, L1, L2|str | 是 | + | param_list | 权重名称列表，表示需要监控的权重。列表为空就表示监控所有权重。 | List[str] | 是 | + | rank | rank id列表，在多卡场景下，表示需要导出梯度数据的进程的rank id。列表为空就表示导出所有rank的数据。（MindSpore静态图模式下，当前暂不支持指定rank功能） | List[int] | 是 | + | step | step列表，表示需要导出数据的step列表。列表为空就表示导出所有step的数据。（MindSpore静态图模式下，当前暂不支持指定step功能） | List[int] | 是 | + | bounds | 区间列表，用来划分区间以统计数值的分布。需要保证由数据小到大排列。可以使用默认值[-1, 0, 1] | List[float] | 是 | + | dump_path | 输出目录。如果不存在就会创建一个新目录。 | str | 是 | + + **不同级别的level的导出数据** + + + | 级别 | 特征数据表头 | 是否有方向数据 | + | ---- | ------------------------------------------------------------ | -------------- | + | L0 | ("param_name", "MD5", "max", "min", "norm", "shape") | 否 | + | L1 | ("param_name", "max", "min", "norm", "shape") | 是 | + | L2 | ("param_name", *intervals, "=0", "max", "min", "norm", "shape") | 是 | + + intervals就是根据值分布bounds划分出的区间。 + MindSpore静态图模式下，L0级别中暂不支持"MD5" + + **方向数据解释** + + 因为模型的参数往往非常大，所以存储真实数据是不可接受的，这里折衷一下，只存储梯度数据的正负号（一个布尔值），也就是方向。 + + **bounds和值分布解释** + + + 值分布：梯度数据落在各个区间的元素个数占总元素个数的比例。 + + bounds：一个列表，用来划分出区间以统计值分布。例如传入bounds = [-10, 0, 10]，此时有一个 grad_value: Tensor = [9.3 , 5.4, -1.0, -12.3]，依据 bounds 划分出 (-inf, -10]、(-10, 0]、(0, 10]、(10, inf) 四个区间，然后统计grad_value里的数据落在每个区间内的个数，得到 1、1、2、0。如下图所示： + ![Alt text](img/image-1.png) + +2. 插入代码。示例代码如下： + +- PyTorch框架：模型构造完成后，传入config.json的路径实例化一个GradientMonitor对象，然后调用gm.monitor并将`模型`作为参数传入。 +```python +from msprobe.pytorch import PrecisionDebugger +debugger = PrecisionDebugger("config_json_path") +debugger.monitor(model) +``` +- MindSpore框架：优化器构造完成后，传入config.json的路径实例化一个GradientMonitor对象，然后调用gm.monitor并将`优化器`作为参数传入。 +```python +from msprobe.mindspore import PrecisionDebugger +debugger = PrecisionDebugger("config_json_path") +debugger.monitor(optimizer) +``` + +3. 结束监控（MindSpore静态图模式下需要） + + 在训练结束之后，调用stop接口 + +```python +gm.stop() +``` + +### 输出结果 +**输出目录结构**（以level配置L2为例） + +```bash +{dump_path} + ├── rank{rank_id} + │ ├── grad_summary_{step}.csv + │ ├── step{step} + │ │ ├── {param_name}.npy +``` ++ {timestamp}：梯度工具导出数据的时候会在output_path下生成一个时间戳目录，然后在这个时间戳目录下输出结果。 ++ rank_{rank_id}：在分布式场景下，会记录卡的rank_id。非分布式场景下，如果是CPU则记录进程号，如果是CPU或GPU则记录卡号 ++ grad_summary_{step}.csv：会分step记录每一步的梯度数据统计值。 ++ step_{step}：这个目录下会存放该step的梯度的方向数据。 ++ {param_name}.pt(npy)：模型参数的梯度方向数据，PyTorch保存的是pt文件，MindSpore是npy文件。 + +**grad_summary_{step}.csv** + +样例如下： + +![Alt text](img/image.png) + +| 字段 | 含义 | +| --------------------- | ------------------------------------------------------------| +| Param_name | 模型参数名称。 | +| MD5 | 梯度数据的MD5值。 | +| (-inf, -0.01]...[0.01, inf) | 梯度值落在区间内的元素个数占总元素的比例。 | +| =0 | 梯度为0的元素个数占总元素的比例。 | +| Max | 最大值。 | +| Min | 最小值。 | +| Norm | L2norm值。 | +| Shape | 形状。 | + +### 梯度相似度比对 + +会根据所导出的权重，分step比对梯度相似度，输出每个权重的梯度相似度和总的梯度相似度。单个权重的梯度相似度为两份方向数据的重合度，总的梯度相似度为每个权重的梯度相似度按元素个数加权。 + +#### 前提条件 + +- 相同配置下，以Level为L1或L2分别采集npu和gpu环境下的梯度数据。 +- 将两份梯度数据传到同一环境下。 + +#### 使用方式 + + +新建如下Python脚本，传入npu和gpu的dump_path以及输出目录，比对结果输出目录不存在的话会新建： + +```python +from msprobe import * +GradComparator.compare_distributed("配置文件里写的dump_path", + "配置文件里写的dump_path", + "比对结果输出目录") +``` + + +### 比对结果 + +**输出目录结构** + +如下为多卡比对结果，单卡则没有rank_{rank_id}这一级目录。 + +```bash +比对结果输出目录 + ├── rank{rank_id} + │ ├── similarities.csv + │ └── similarities_picture + │ ├── {param_name}.png + │ └── summary_similarities.png +``` + +**问题界定** + +原则：对于任意权重，第0步的梯度相似度低于0.97，或者某一步的梯度相似度下降超过0.03，认为这一步存在精度问题。例子如下： + +- 第0步相似度低于0.97 + +![Alt text](img/image-3.png) + +- 第3步相似度下降超过0.03 + +![Alt text](img/image-4.png) + +- 正常情况 + +![Alt text](img/image-2.png) + +这个原则是一个经验性的指标，并不是严格的标注，还需要结合实际情况具体分析。 + +## 公开接口 + +**接口说明** + +```python +PrecisionDebugger.monitor(module) +``` + +| 参数 | 说明 | 是否必选 | +| ----- | -------------------- | -------- | +| module |Pytorch框架下传入模型，必须是torch.nn.Module；MindSpore框架下传入优化器。 | 是 | + + +**接口说明** + +```python +GradComparator.compare_distributed(dump_path1, dump_path2, output_path) +``` + +| 参数 | 说明 | 是否必选 | +| ----- | -------------------- | -------- | +| dump_path1 |需要比对的其中一个dump目录，也就是配置文件里写的dump_path。 | 是 | +| dump_path2 |需要比对的其中一个dump目录，也就是配置文件里写的dump_path，与dump_path1可以互换。 | 是 | +| output_path |输出结果目录，不存在会新建。 | 是 | + + +# FAQ diff --git a/debug/accuracy_tools/msprobe/doc/grad_probe/img/image-1.png 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HcmV?d00001 -- Gitee From c4eb0fc6443e997c7695128eb626805433c09f63 Mon Sep 17 00:00:00 2001 From: cai-weiwei1989 <734267852@qq.com> Date: Fri, 9 Aug 2024 16:50:27 +0800 Subject: [PATCH 146/160] =?UTF-8?q?[profiler\compare=5Ftools]=E6=89=93?= =?UTF-8?q?=E5=B1=8F=E7=BB=93=E6=9E=9C=E6=96=B0=E5=A2=9ERDMA=20SDMA?= =?UTF-8?q?=E5=B8=A6=E5=AE=BD=E4=BF=A1=E6=81=AF?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- profiler/compare_tools/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/profiler/compare_tools/README.md b/profiler/compare_tools/README.md index 99559728d5..97dcf5b19c 100644 --- a/profiler/compare_tools/README.md +++ b/profiler/compare_tools/README.md @@ -197,6 +197,8 @@ MindSpore场景仅支持**总体性能**和**通信性能**的对比。 | Computing Time | 计算流耗时，计算流所有event耗时总和。如果有多条并发计算，计算流耗时对重叠部分只会计算一次。 | | Mem Usage | 内存使用。GPU上的内存使用可以使用nvidia-smi查看，NPU上的内存使用可以使用npu-smi查看，Profiling信息采集时打开profile_memory=True开关，mem usage显示的是memory_record里面的最大resevered值，一般来说是进程级内存。 | | Uncovered Communication Time(Wait Time) | 通信未掩盖耗时。Wait Time为卡间等待时间（Wait Time仅NPU场景才会存在）。 | +| RDMA Bandwidth(GB/s) | RDMA带宽，单位GB/s。 | +| SDMA Bandwidth(GB/s) | SDMA带宽，单位GB/s。 | | SDMA Time(Num) | 拷贝类任务耗时，Num表示计算的次数。 | | Free Time | 调度耗时 = E2E耗时 - 算子耗时 - 通信不可掩盖耗时。Free的定义为Device侧既不在通信又不在计算的时间，因此包含拷贝时间（SDMA Time）。 | | E2E Time(Not minimal profiling) | E2E总耗时，计算流端到端耗时。当存在Not minimal profiling时，表示该时间存在性能膨胀，会影响通信和调度耗时。 | -- Gitee From 399fdf2a05f2b62cb7ec6057a27b373c5d374fdb Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Fri, 9 Aug 2024 17:35:21 +0800 Subject: [PATCH 147/160] codeclean --- .../tensor_transport_layer/device_dispatch.py | 2 ++ .../accuracy_tools/msprobe/pytorch/service.py | 19 +++++++++---------- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py index cbc1b76fd8..58b1353ffe 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py @@ -43,6 +43,8 @@ def run_ut_process(xpu_id, compare, consumer_queue, func, config): if "expected scalar type Long" in str(err): logger.warning(f"API {api_name} not support int32 tensor in CPU, please add {api_name} to CONVERT_API " f"'int32_to_int64' list in accuracy_tools/msprobe/core/common/const.py file.") + elif Const.DISTRIBUTED in str(err): + logger.info(f"{api_name} is not supported for run ut. SKIP.") else: logger.error(f"Run {api_full_name} UT Error: {str(err)}") diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 187058bd7f..12844f600b 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -120,17 +120,9 @@ class Service: def start(self, model, api_origin=False): self.model = model if self.config.step and self.current_iter > max(self.config.step): - # send end or step signal if self.config.online_run_ut: - if self.config.nfs_path: - self.attl.upload("end") - elif self.attl.socket_manager is not None: - logger.info(f"进程{os.getpid()} 已完成,准备发送STOP信号") - self.attl.socket_manager.send_stop_signal() - else: - # current rank not need dump, wait - while True: - time.sleep(2) + # send stop signal if online_run_ut + self.attl_stop() self.stop() raise Exception("msprobe: exit after iteration {}".format(max(self.config.step))) if self.config.step and self.current_iter not in self.config.step: @@ -247,3 +239,10 @@ class Service: self.attl.upload(api_data) else: self.attl.send(api_data) + + def attl_stop(self): + if self.config.nfs_path: + self.attl.upload("end") + elif self.attl.socket_manager is not None: + logger.info(f"pid: {os.getpid()} finished, start send STOP signal.") + self.attl.socket_manager.send_stop_signal() -- Gitee From 59a13a6beb19b4003b6257ecf3f7840152389c27 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Fri, 9 Aug 2024 17:46:21 +0800 Subject: [PATCH 148/160] cleancode --- .../pytorch/api_accuracy_checker/tensor_transport_layer/attl.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index d3f5066304..e699bc554c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -93,7 +93,7 @@ class ATTL: try: torch.save(buffer, io_buff) except Exception as e: - logger.warning(f"buffer save failed: {e}") + logger.info(f"{buffer.name} can not be saved, skip: {e}") return data = io_buff.getvalue() self.socket_manager.add_to_sending_queue(data, rank=rank, step=step) -- Gitee From ea6248599cef1127062fd6b7dbfc682758234bf9 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Fri, 9 Aug 2024 17:56:59 +0800 Subject: [PATCH 149/160] cleancode --- .../tensor_transport_layer/device_dispatch.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py index 58b1353ffe..42f34bfc68 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py @@ -39,11 +39,11 @@ def run_ut_process(xpu_id, compare, consumer_queue, func, config): f"is_fwd_success: {is_fwd_success}, " f"is_bwd_success: {is_bwd_success}") except Exception as err: - [_, api_name, _] = api_full_name.split(Const.SEP) + [api_type, api_name, _] = api_full_name.split(Const.SEP) if "expected scalar type Long" in str(err): logger.warning(f"API {api_name} not support int32 tensor in CPU, please add {api_name} to CONVERT_API " f"'int32_to_int64' list in accuracy_tools/msprobe/core/common/const.py file.") - elif Const.DISTRIBUTED in str(err): + elif api_type in [Const.DISTRIBUTED]: logger.info(f"{api_name} is not supported for run ut. SKIP.") else: logger.error(f"Run {api_full_name} UT Error: {str(err)}") -- Gitee From 1ff667eeca90e1956d9d717fa8c03466d6e41ec1 Mon Sep 17 00:00:00 2001 From: jiangchao_j Date: Sat, 10 Aug 2024 09:39:03 +0800 Subject: [PATCH 150/160] ms overflow check ut --- .../data_processor/mindspore_processor.py | 4 +- .../mindspore/debugger/precision_debugger.py | 4 +- .../msprobe/mindspore/ms_config.py | 4 +- .../msprobe/mindspore/service.py | 15 +- .../msprobe/test/core_ut/common/test_utils.py | 38 ++--- .../data_dump/data_processor/test_factory.py} | 40 +++-- .../test_mindspore_processor.py | 145 ++++++++++++++++++ .../core_ut/data_dump/test_data_collector.py | 71 +++++++++ .../test/mindspore_ut/common/test_ms_utils.py | 55 +++++++ .../debugger/test_debugger_config.py | 80 ++++++++++ .../{ => debugger}/test_precision_debugger.py | 69 +++++++-- .../test/mindspore_ut/test_ms_config.py | 20 ++- 12 files changed, 478 insertions(+), 67 deletions(-) rename debug/accuracy_tools/msprobe/test/{mindspore_ut/test_debugger_config.py => core_ut/data_dump/data_processor/test_factory.py} (38%) create mode 100644 debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_mindspore_processor.py create mode 100644 debug/accuracy_tools/msprobe/test/mindspore_ut/common/test_ms_utils.py create mode 100644 debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_debugger_config.py rename debug/accuracy_tools/msprobe/test/mindspore_ut/{ => debugger}/test_precision_debugger.py (37%) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py index 6f32b1ec28..8d09669096 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/mindspore_processor.py @@ -157,7 +157,7 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): self.cached_tensors_and_file_paths = {} self.real_overflow_nums = 0 self.overflow_nums = config.overflow_nums - + @property def is_terminated(self): if self.overflow_nums == -1: @@ -166,7 +166,7 @@ class OverflowCheckDataProcessor(MindsporeDataProcessor): logger.info(f"[msprobe] 超过预设溢出次数 当前溢出次数: {self.real_overflow_nums}") return True return False - + def analyze_forward(self, name, module, module_input_output: ModuleForwardInputsOutputs): self.has_overflow = False api_info_struct = super().analyze_forward(name, module, module_input_output) diff --git a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py index 0b51efec85..04cc3345c5 100644 --- a/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py +++ b/debug/accuracy_tools/msprobe/mindspore/debugger/precision_debugger.py @@ -38,7 +38,7 @@ class PrecisionDebugger: self.gm = GradientMonitor(common_config, task_config) return self.config = DebuggerConfig(common_config, task_config) - + Runtime.step_count = 0 Runtime.is_running = False @@ -97,7 +97,7 @@ class PrecisionDebugger: if instance.service: instance.service.step() Runtime.step_count += 1 - + @classmethod def monitor(cls, opt): instance = cls._instance diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index 0e7ce15292..fb78a5f6cd 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -63,7 +63,7 @@ class FreeBenchmarkConfig(BaseConfig): if self.fuzz_device and self.fuzz_device not in FreeBenchmarkConst.DEVICE_LIST: raise Exception("fuzz_device must be npu or empty") if self.pert_mode and self.pert_mode not in FreeBenchmarkConst.PERT_TYPE_LIST: - raise Exception("pert_mode must be improve_precision, add_noise, bit_noise , no_change or empty") + raise Exception("pert_mode must be improve_precision, add_noise, bit_noise, no_change or empty") if self.handler_type and self.handler_type not in FreeBenchmarkConst.HANDLER_TYPE_LIST: raise Exception("handler_type must be check, fix or empty") if self.fuzz_level and self.fuzz_level not in FreeBenchmarkConst.DUMP_LEVEL_LIST: @@ -73,6 +73,8 @@ class FreeBenchmarkConfig(BaseConfig): if self.if_preheat or self.preheat_step or self.max_sample: logger.warning("'if_preheat', 'preheat_step' and 'max_sample' settings " "are not supported for mindspore free benchmark task.") + + class GradProbeConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) diff --git a/debug/accuracy_tools/msprobe/mindspore/service.py b/debug/accuracy_tools/msprobe/mindspore/service.py index 4c2a4ef693..29881e738d 100644 --- a/debug/accuracy_tools/msprobe/mindspore/service.py +++ b/debug/accuracy_tools/msprobe/mindspore/service.py @@ -22,6 +22,7 @@ from collections import defaultdict from mindspore.common.tensor import Tensor from mindspore import ops from mindspore import nn + from msprobe.core.data_dump.data_collector import build_data_collector from msprobe.core.data_dump.scope import BaseScope from msprobe.mindspore.common.utils import get_rank_if_initialized @@ -30,7 +31,7 @@ from msprobe.mindspore.common.log import logger from msprobe.core.common.utils import Const from msprobe.core.common.exceptions import DistributedNotInitializedError from msprobe.mindspore.dump.hook_cell.api_registry import api_register -from msprobe.core.data_dump.data_processor.base import ModuleBackwardInputsOutputs, ModuleForwardInputsOutputs,\ +from msprobe.core.data_dump.data_processor.base import ModuleBackwardInputsOutputs, ModuleForwardInputsOutputs, \ ModuleBackwardInputs, ModuleBackwardOutputs from msprobe.core.common.exceptions import MsprobeException from msprobe.mindspore.dump.hook_cell.hook_cell import HOOKCell @@ -93,7 +94,6 @@ class Service: return wrap_forward_hook, wrap_backward_hook - def wrap_primitive(self, origin_func, primitive_name): service_instance = self @@ -118,12 +118,8 @@ class Service: captured_grads.clear() except Exception as exception: - raise Exception( - "This is a primitive op {hook_type}_backward dump error: {exception}," - " updated_primitive_name: {updated_primitive_name}".format( - hook_type=hook_type, exception=exception, backward_primitive_name=backward_primitive_name - ) - ) from exception + raise Exception(f"This is a primitive op {hook_type}_backward dump error: {exception}," + f" updated_primitive_name: {updated_primitive_name}") from exception return backward_hook @@ -223,7 +219,6 @@ class Service: {'__call__': self.wrap_primitive(primitive.__call__, pname)}) primitive.__class__ = NewPrimitive - def step(self): self.current_iter += 1 self.data_collector.update_iter(self.current_iter) @@ -297,4 +292,4 @@ class Service: api_register.initialize_hook(functools.partial(self.build_hook, BaseScope.Module_Type_API)) api_register.api_set_hook_func() if self.model: - self.register_hooks() \ No newline at end of file + self.register_hooks() diff --git a/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py b/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py index a1cd516c4d..a02a402f6e 100644 --- a/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py +++ b/debug/accuracy_tools/msprobe/test/core_ut/common/test_utils.py @@ -1,7 +1,7 @@ #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ -# Copyright (C) 2022-2023. Huawei Technologies Co., Ltd. All rights reserved. +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at @@ -23,24 +23,24 @@ from unittest.mock import patch, MagicMock, mock_open from msprobe.core.common.log import logger from msprobe.core.common.const import Const from msprobe.core.common.utils import (CompareException, - check_seed_all, - check_inplace_op, - make_dump_path_if_not_exists, - check_mode_valid, - check_switch_valid, - check_dump_mode_valid, - check_summary_mode_valid, - check_summary_only_valid, - check_file_or_directory_path, - check_compare_param, - check_configuration_param, - is_starts_with, - _check_json, - check_json_file, - check_file_size, - check_regex_prefix_format_valid, - get_dump_data_path, - task_dumppath_get) + check_seed_all, + check_inplace_op, + make_dump_path_if_not_exists, + check_mode_valid, + check_switch_valid, + check_dump_mode_valid, + check_summary_mode_valid, + check_summary_only_valid, + check_file_or_directory_path, + check_compare_param, + check_configuration_param, + is_starts_with, + _check_json, + check_json_file, + check_file_size, + check_regex_prefix_format_valid, + get_dump_data_path, + task_dumppath_get) from msprobe.core.common.file_check import FileCheckConst diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_debugger_config.py b/debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_factory.py similarity index 38% rename from debug/accuracy_tools/msprobe/test/mindspore_ut/test_debugger_config.py rename to debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_factory.py index 5187d3951c..2f4f253001 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_debugger_config.py +++ b/debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_factory.py @@ -14,29 +14,25 @@ # See the License for the specific language governing permissions and # limitations under the License. """ -from unittest import TestCase +import unittest +from unittest.mock import patch +from msprobe.core.data_dump.data_processor.factory import DataProcessorFactory from msprobe.core.common.const import Const -from msprobe.core.common_config import CommonConfig, BaseConfig -from msprobe.mindspore.debugger.debugger_config import DebuggerConfig +from msprobe.core.data_dump.data_processor.mindspore_processor import ( + StatisticsDataProcessor as MindsporeStatisticsDataProcessor, + TensorDataProcessor as MindsporeTensorDataProcessor, + OverflowCheckDataProcessor as MindsporeOverflowCheckDataProcessor +) -class TestDebuggerConfig(TestCase): - def test_init(self): - json_config = { - "dump_path": "/absolute_path", - "rank": [], - "step": [], - "level": "L0" - } - common_config = CommonConfig(json_config) - task_config = BaseConfig(json_config) - debugger_config = DebuggerConfig(common_config, task_config) - self.assertEqual(debugger_config.task, Const.STATISTICS) - self.assertEqual(debugger_config.file_format, "npy") - self.assertEqual(debugger_config.check_mode, "all") - - common_config.dump_path = "./path" - with self.assertRaises(Exception) as context: - DebuggerConfig(common_config, task_config) - self.assertEqual(str(context.exception), "Dump path must be absolute path.") +class TestDataProcessorFactory(unittest.TestCase): + def test_register_processors(self): + with patch.object(DataProcessorFactory, "register_processor") as mock_register: + DataProcessorFactory.register_processors(Const.MS_FRAMEWORK) + self.assertEqual(mock_register.call_args_list[0][0], + (Const.MS_FRAMEWORK, Const.STATISTICS, MindsporeStatisticsDataProcessor)) + self.assertEqual(mock_register.call_args_list[1][0], + (Const.MS_FRAMEWORK, Const.TENSOR, MindsporeTensorDataProcessor)) + self.assertEqual(mock_register.call_args_list[2][0], + (Const.MS_FRAMEWORK, Const.OVERFLOW_CHECK, MindsporeOverflowCheckDataProcessor)) diff --git a/debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_mindspore_processor.py b/debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_mindspore_processor.py new file mode 100644 index 0000000000..046388741b --- /dev/null +++ b/debug/accuracy_tools/msprobe/test/core_ut/data_dump/data_processor/test_mindspore_processor.py @@ -0,0 +1,145 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import unittest +from unittest.mock import patch + +from mindspore import Tensor +import numpy as np + +from msprobe.core.data_dump.data_processor.base import BaseDataProcessor +from msprobe.core.data_dump.data_processor.mindspore_processor import MindsporeDataProcessor, OverflowCheckDataProcessor +from msprobe.core.common.const import FileCheckConst + + +class TestOverflowCheckDataProcessor(unittest.TestCase): + def setUp(self): + class Config: + def __init__(self): + self.overflow_nums = 1 + self.data_processor = OverflowCheckDataProcessor(Config(), None) + + def test___init__(self): + self.assertEqual(self.data_processor.cached_tensors_and_file_paths, {}) + self.assertEqual(self.data_processor.real_overflow_nums, 0) + self.assertEqual(self.data_processor.overflow_nums, 1) + + def test_analyze_forward(self): + def func(_): + self.data_processor.has_overflow = True + with patch.object(BaseDataProcessor, "analyze_forward", return_value={"min", 0}): + with patch.object(OverflowCheckDataProcessor, "maybe_save_overflow_data"): + api_info = self.data_processor.analyze_forward("name", "module", "module_input_output") + self.assertFalse(self.data_processor.has_overflow) + self.assertIsNone(api_info) + with patch.object(OverflowCheckDataProcessor, "maybe_save_overflow_data", new=func): + api_info = self.data_processor.analyze_forward("name", "module", "module_input_output") + self.assertTrue(self.data_processor.has_overflow) + self.assertEqual(api_info, {"min", 0}) + + def test_analyze_backward(self): + def func(_): + self.data_processor.has_overflow = True + with patch.object(BaseDataProcessor, "analyze_backward", return_value={"min", 0}): + with patch.object(OverflowCheckDataProcessor, "maybe_save_overflow_data"): + api_info = self.data_processor.analyze_backward("name", "module", "module_input_output") + self.assertFalse(self.data_processor.has_overflow) + self.assertIsNone(api_info) + with patch.object(OverflowCheckDataProcessor, "maybe_save_overflow_data", new=func): + api_info = self.data_processor.analyze_backward("name", "module", "module_input_output") + self.assertTrue(self.data_processor.has_overflow) + self.assertEqual(api_info, {"min", 0}) + + @patch("msprobe.core.data_dump.data_processor.mindspore_processor.np.save") + @patch("msprobe.core.data_dump.data_processor.mindspore_processor.change_mode") + def test_maybe_save_overflow_data(self, mock_change_mode, mock_save): + self.data_processor.has_overflow = True + tensor1 = Tensor(1) + tensor2 = Tensor(2) + self.data_processor.cached_tensors_and_file_paths = {"tensor1": tensor1, "tensor2": tensor2} + with patch("mindspore.Tensor.asnumpy", return_value="npy"): + self.data_processor.maybe_save_overflow_data() + self.assertEqual(mock_save.call_args_list[0][0], + ("tensor1", "npy")) + self.assertEqual(mock_save.call_args_list[1][0], + ("tensor2", "npy")) + self.assertEqual(mock_change_mode.call_args_list[0][0], + ("tensor1", FileCheckConst.DATA_FILE_AUTHORITY)) + self.assertEqual(mock_change_mode.call_args_list[1][0], + ("tensor2", FileCheckConst.DATA_FILE_AUTHORITY)) + + @patch("msprobe.core.data_dump.data_processor.mindspore_processor.logger.info") + def test_is_terminated(self, mock_info): + self.data_processor.overflow_nums = -1 + self.assertFalse(self.data_processor.is_terminated) + self.data_processor.real_overflow_nums = 2 + self.data_processor.overflow_nums = 2 + self.assertTrue(self.data_processor.is_terminated) + mock_info.assert_called_with("[msprobe] 超过预设溢出次数 当前溢出次数: 2") + self.data_processor.overflow_nums = 3 + self.assertFalse(self.data_processor.is_terminated) + + def test__analyze_maybe_overflow_tensor(self): + self.data_processor.has_overflow = False + tensor_json = {"Max": None, "Min": 0} + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertFalse(self.data_processor.has_overflow) + tensor_json.update({"Max": -np.inf}) + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertTrue(self.data_processor.has_overflow) + self.data_processor.has_overflow = False + tensor_json.update({"Max": np.inf}) + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertTrue(self.data_processor.has_overflow) + self.data_processor.has_overflow = False + tensor_json.update({"Max": np.nan}) + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertTrue(self.data_processor.has_overflow) + tensor_json.update({"Max": 0}) + self.data_processor.has_overflow = False + tensor_json.update({"Min": -np.inf}) + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertTrue(self.data_processor.has_overflow) + self.data_processor.has_overflow = False + tensor_json.update({"Min": np.inf}) + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertTrue(self.data_processor.has_overflow) + self.data_processor.has_overflow = False + tensor_json.update({"Min": np.nan}) + self.data_processor._analyze_maybe_overflow_tensor(tensor_json) + self.assertTrue(self.data_processor.has_overflow) + + @patch("msprobe.core.data_dump.data_processor.mindspore_processor.logger.warning") + @patch.object(OverflowCheckDataProcessor, "get_save_file_path") + @patch.object(MindsporeDataProcessor, "_analyze_tensor") + def test__analyze_tensor(self, mock_super, mock_get_file_path, mock_warning): + mock_get_file_path.return_value = ("dump_data_name", "file_path") + single_arg = {"Max": None} + mock_super.return_value = single_arg + + with patch("msprobe.core.data_dump.data_processor.mindspore_processor.path_len_exceeds_limit", + return_value=False): + ret = self.data_processor._analyze_tensor("tensor", "suffix") + self.assertEqual(self.data_processor.cached_tensors_and_file_paths, {"file_path": "tensor"}) + mock_warning.assert_not_called() + mock_super.assert_called_with("tensor", "suffix") + self.assertEqual(ret.get("Max"), None) + self.assertEqual(ret.get("data_name"), "dump_data_name") + + with patch("msprobe.core.data_dump.data_processor.mindspore_processor.path_len_exceeds_limit", + return_value=True): + self.data_processor._analyze_tensor("tensor", "suffix") + mock_warning.assert_called_with("The file path file_path length exceeds limit.") diff --git a/debug/accuracy_tools/msprobe/test/core_ut/data_dump/test_data_collector.py b/debug/accuracy_tools/msprobe/test/core_ut/data_dump/test_data_collector.py index eedbe5be7e..15a0883f5b 100644 --- a/debug/accuracy_tools/msprobe/test/core_ut/data_dump/test_data_collector.py +++ b/debug/accuracy_tools/msprobe/test/core_ut/data_dump/test_data_collector.py @@ -1,3 +1,20 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" + import unittest from unittest.mock import patch, mock_open, MagicMock @@ -5,6 +22,9 @@ from msprobe.core.common.utils import Const from msprobe.core.data_dump.data_collector import DataCollector from msprobe.pytorch.debugger.debugger_config import DebuggerConfig from msprobe.pytorch.pt_config import parse_json_config +from msprobe.core.data_dump.json_writer import DataWriter +from msprobe.core.data_dump.data_processor.base import BaseDataProcessor +from msprobe.core.data_dump.data_processor.pytorch_processor import StatisticsDataProcessor class TestDataCollector(unittest.TestCase): @@ -45,3 +65,54 @@ class TestDataCollector(unittest.TestCase): self.data_collector.pre_forward_data_collect(name, None, pid, None) self.data_collector.check_scope_and_pid.assert_called_once_with( self.data_collector.scope, "TestModule.backward", 123) + + def test_handle_data(self): + with patch.object(DataCollector, "update_data", return_value="msg") as mock_update_data, \ + patch.object(DataCollector, "write_json") as mock_write_json, \ + patch("msprobe.core.data_dump.data_collector.logger.info") as mock_info, \ + patch("msprobe.core.data_dump.json_writer.DataWriter.flush_data_when_buffer_is_full") as mock_flush: + self.data_collector.handle_data("Tensor.add", {"min": 0}) + msg = "msprobe is collecting data on Tensor.add. " + mock_update_data.assert_called_with({"min": 0}, msg) + mock_info.assert_called_with("msg") + mock_flush.assert_called() + mock_write_json.assert_not_called() + + mock_update_data.reset_mock() + mock_info.reset_mock() + mock_flush.reset_mock() + self.data_collector.handle_data("Tensor.add", {}, use_buffer=False) + mock_update_data.assert_not_called() + mock_info.assert_not_called() + mock_write_json.assert_called() + + @patch.object(DataCollector, "update_construct") + @patch.object(DataWriter, "update_stack") + @patch.object(BaseDataProcessor, "analyze_api_call_stack") + @patch.object(DataCollector, "handle_data") + def test_forward_data_collect(self, mock_handle_data, _, __, ___): + with patch.object(DataCollector, "check_scope_and_pid", return_value=True), \ + patch.object(DataCollector, "is_inplace", return_value=False), \ + patch.object(StatisticsDataProcessor, "analyze_forward", return_value={}): + with patch.object(StatisticsDataProcessor, "is_terminated", return_value=True), \ + self.assertRaises(Exception) as context: + self.data_collector.forward_data_collect("name", "module", "pid", "module_input_output") + mock_handle_data.assert_called_with("name", {}, use_buffer=False) + self.assertEqual(str(context.exception), "[msprobe] exit") + + self.data_collector.forward_data_collect("name", "module", "pid", "module_input_output") + mock_handle_data.assert_called_with("name", {}) + + @patch.object(DataCollector, "update_construct") + @patch.object(DataCollector, "handle_data") + def test_backward_data_collect(self, mock_handle_data, _): + with patch.object(DataCollector, "check_scope_and_pid", return_value=True), \ + patch.object(StatisticsDataProcessor, "analyze_backward", return_value={}): + with patch.object(StatisticsDataProcessor, "is_terminated", return_value=True), \ + self.assertRaises(Exception) as context: + self.data_collector.backward_data_collect("name", "module", "pid", "module_input_output") + mock_handle_data.assert_called_with("name", {}, use_buffer=False) + self.assertEqual(str(context.exception), "[msprobe] exit") + + self.data_collector.backward_data_collect("name", "module", "pid", "module_input_output") + mock_handle_data.assert_called_with("name", {}) diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/common/test_ms_utils.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/common/test_ms_utils.py new file mode 100644 index 0000000000..96f2daf203 --- /dev/null +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/common/test_ms_utils.py @@ -0,0 +1,55 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import unittest + +from msprobe.mindspore.common.utils import MsprobeStep + + +class TestMsprobeStep(unittest.TestCase): + def setUp(self): + class Debugger: + def __init__(self): + self.start_called = False + self.stop_called = False + self.step_called = False + self.stop_called_first = False + + def start(self): + self.start_called = True + + def stop(self): + self.stop_called = True + + def step(self): + if self.stop_called: + self.stop_called_first = True + self.step_called = True + debugger = Debugger() + self.msprobe_step = MsprobeStep(debugger) + + def test_on_train_step_begin(self): + self.msprobe_step.on_train_step_begin("run_context") + self.assertTrue(self.msprobe_step.debugger.start_called) + self.assertFalse(self.msprobe_step.debugger.stop_called) + self.assertFalse(self.msprobe_step.debugger.step_called) + + def test_on_train_step_end(self): + self.msprobe_step.on_train_step_end("run_context") + self.assertFalse(self.msprobe_step.debugger.start_called) + self.assertTrue(self.msprobe_step.debugger.stop_called) + self.assertTrue(self.msprobe_step.debugger.step_called) + self.assertTrue(self.msprobe_step.debugger.stop_called_first) diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_debugger_config.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_debugger_config.py new file mode 100644 index 0000000000..9806632370 --- /dev/null +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_debugger_config.py @@ -0,0 +1,80 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +# Copyright (C) 2024-2024. Huawei Technologies Co., Ltd. All rights reserved. +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +import unittest +from unittest.mock import patch + +from msprobe.core.common.const import Const, FileCheckConst +from msprobe.mindspore.common.const import FreeBenchmarkConst +from msprobe.core.common_config import CommonConfig, BaseConfig +from msprobe.mindspore.debugger.debugger_config import DebuggerConfig + + +class TestDebuggerConfig(unittest.TestCase): + @patch.object(DebuggerConfig, "_make_dump_path_if_not_exists") + def test_init(self, _): + json_config = { + "dump_path": "/absolute_path", + "rank": [], + "step": [], + "level": "L2" + } + common_config = CommonConfig(json_config) + task_config = BaseConfig(json_config) + debugger_config = DebuggerConfig(common_config, task_config) + self.assertEqual(debugger_config.task, Const.STATISTICS) + self.assertEqual(debugger_config.file_format, "npy") + self.assertEqual(debugger_config.check_mode, "all") + self.assertEqual(debugger_config.overflow_nums, 1) + + common_config.dump_path = "./path" + with self.assertRaises(Exception) as context: + DebuggerConfig(common_config, task_config) + self.assertEqual(str(context.exception), "Dump path must be absolute path.") + + common_config.dump_path = "./path" + with self.assertRaises(Exception) as context: + DebuggerConfig(common_config, task_config) + self.assertEqual(str(context.exception), "Dump path must be absolute path.") + + common_config.level = "L1" + common_config.task = Const.FREE_BENCHMARK + debugger_config = DebuggerConfig(common_config, task_config) + self.assertEqual(debugger_config.pert_type, FreeBenchmarkConst.DEFAULT_PERT_TYPE) + self.assertEqual(debugger_config.handler_type, FreeBenchmarkConst.DEFAULT_HANDLER_TYPE) + self.assertEqual(debugger_config.dump_level, FreeBenchmarkConst.DEFAULT_DUMP_LEVEL) + self.assertEqual(debugger_config.stage, FreeBenchmarkConst.DEFAULT_STAGE) + + task_config.handler_type = FreeBenchmarkConst.FIX + task_config.pert_mode = FreeBenchmarkConst.ADD_NOISE + with self.assertRaises(Exception) as context: + DebuggerConfig(common_config, task_config) + self.assertEqual(str(context.exception), + "pert_mode must be improve_precision or empty when handler_type is fix, " + f"but got {FreeBenchmarkConst.ADD_NOISE}.") + + @patch("msprobe.mindspore.debugger.debugger_config.os.path.exists", return_value=False) + def test__make_dump_path_if_not_exists(self, _): + json_config = {"dump_path": "/absolute_path"} + common_config = CommonConfig(json_config) + task_config = BaseConfig(json_config) + with patch("msprobe.mindspore.debugger.debugger_config.check_path_before_create") as mock_check_path, \ + patch("msprobe.mindspore.debugger.debugger_config.Path.mkdir") as mock_mkdir, \ + patch("msprobe.mindspore.debugger.debugger_config.FileChecker") as mock_checker: + DebuggerConfig(common_config, task_config) + mock_check_path.assert_called_with(json_config.get("dump_path")) + mock_mkdir.assert_called_with(mode=FileCheckConst.DATA_DIR_AUTHORITY, exist_ok=True) + mock_checker.assert_called_with(common_config.dump_path, FileCheckConst.DIR) diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_precision_debugger.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_precision_debugger.py similarity index 37% rename from debug/accuracy_tools/msprobe/test/mindspore_ut/test_precision_debugger.py rename to debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_precision_debugger.py index 425ed3040d..ee9970f510 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_precision_debugger.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/debugger/test_precision_debugger.py @@ -14,16 +14,21 @@ # See the License for the specific language governing permissions and # limitations under the License. """ -from unittest import TestCase -from unittest.mock import patch +import unittest +from unittest.mock import patch, MagicMock from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.mindspore.debugger.debugger_config import DebuggerConfig from msprobe.mindspore.debugger.precision_debugger import PrecisionDebugger +from msprobe.mindspore.runtime import Runtime +from msprobe.mindspore.common.const import Const as MsConst +from msprobe.core.common.const import Const -class TestPrecisionDebugger(TestCase): - def test_start(self): +class TestPrecisionDebugger(unittest.TestCase): + + @patch.object(DebuggerConfig, "_make_dump_path_if_not_exists") + def test_start(self, _): class Handler: called = False @@ -35,22 +40,68 @@ class TestPrecisionDebugger(TestCase): "dump_path": "/absolute_path", "rank": [], "step": [], - "level": "L0" + "level": "L1" } common_config = CommonConfig(json_config) task_config = BaseConfig(json_config) handler = Handler() - with patch("msprobe.mindspore.debugger.precision_debugger.parse_json_config", - return_value=[common_config, task_config]), \ + mock_get_mode = MagicMock() + mock_parse_json_config = MagicMock() + with patch("msprobe.mindspore.debugger.precision_debugger.parse_json_config", new=mock_parse_json_config), \ + patch.object(PrecisionDebugger, "_get_execution_mode", new=mock_get_mode), \ patch("msprobe.mindspore.debugger.precision_debugger.TaskHandlerFactory.create", return_value=handler): + mock_get_mode.return_value = MsConst.GRAPH_GE_MODE + mock_parse_json_config.return_value = [common_config, task_config] debugger = PrecisionDebugger() + self.assertEqual(Runtime.step_count, 0) + self.assertFalse(Runtime.is_running) debugger.start() - self.assertTrue(isinstance(debugger.config, DebuggerConfig)) - self.assertTrue(Handler.called) + self.assertTrue(Runtime.is_running) + self.assertTrue(isinstance(debugger.config, DebuggerConfig)) + self.assertTrue(Handler.called) + + mock_get_mode.return_value = MsConst.PYNATIVE_MODE + with patch("msprobe.mindspore.debugger.precision_debugger.Service") as mock_Service: + debugger = PrecisionDebugger() + debugger.start() + service = mock_Service.return_value + mock_Service.assert_called_with(debugger.config) + service.start.assert_called_with(None) PrecisionDebugger._instance = None with self.assertRaises(Exception) as context: debugger.start() self.assertEqual(str(context.exception), "No instance of PrecisionDebugger found.") + + with patch("msprobe.mindspore.debugger.precision_debugger.parse_json_config", new=mock_parse_json_config), \ + patch.object(PrecisionDebugger, "_get_execution_mode", new=mock_get_mode), \ + patch("msprobe.mindspore.debugger.precision_debugger.TaskHandlerFactory.create", return_value=handler): + common_config.task = Const.FREE_BENCHMARK + mock_get_mode.return_value = MsConst.PYNATIVE_MODE + mock_parse_json_config.return_value = [common_config, task_config] + Handler.called = False + debugger = PrecisionDebugger() + debugger.start() + self.assertTrue(Handler.called) + + def test_stop_step(self): + class MockPrecisionDebugger: + def __init__(self): + self.task = Const.TENSOR + self.service = None + PrecisionDebugger._instance = None + with self.assertRaises(Exception) as context: + PrecisionDebugger.stop() + self.assertEqual(str(context.exception), "PrecisionDebugger instance is not created.") + with self.assertRaises(Exception) as context: + PrecisionDebugger.step() + self.assertEqual(str(context.exception), "PrecisionDebugger instance is not created.") + PrecisionDebugger._instance = MockPrecisionDebugger() + Runtime.is_running = True + PrecisionDebugger.stop() + self.assertFalse(Runtime.is_running) + Runtime.step_count = 0 + PrecisionDebugger.step() + self.assertEqual(Runtime.step_count, 1) diff --git a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py index fb408e83bb..4954acc116 100644 --- a/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py +++ b/debug/accuracy_tools/msprobe/test/mindspore_ut/test_ms_config.py @@ -14,7 +14,7 @@ # See the License for the specific language governing permissions and # limitations under the License. """ -from unittest import TestCase +import unittest from unittest.mock import patch, mock_open from msprobe.core.common.const import Const @@ -22,7 +22,7 @@ from msprobe.mindspore.ms_config import (parse_json_config, parse_task_config, TensorConfig, StatisticsConfig, OverflowCheckConfig, FreeBenchmarkConfig) -class TestMsConfig(TestCase): +class TestMsConfig(unittest.TestCase): def test_parse_json_config(self): mock_json_data = { "dump_path": "./dump/", @@ -64,6 +64,22 @@ class TestMsConfig(TestCase): task_config = parse_task_config("overflow_check", mock_json_config) self.assertTrue(isinstance(task_config, OverflowCheckConfig)) + mock_json_config.update({"overflow_check": {"overflow_nums": "1"}}) + with self.assertRaises(Exception) as context: + task_config = parse_task_config("overflow_check", mock_json_config) + self.assertEqual(str(context.exception), "overflow_nums is invalid, it should be an integer") + + mock_json_config.update({"overflow_check": {"overflow_nums": 0}}) + with self.assertRaises(Exception) as context: + task_config = parse_task_config("overflow_check", mock_json_config) + self.assertEqual(str(context.exception), "overflow_nums should be -1 or positive integer") + + mock_json_config.update({"overflow_check": {"overflow_nums": 1}}) + mock_json_config.update({"overflow_check": {"check_mode": "core"}}) + with self.assertRaises(Exception) as context: + task_config = parse_task_config("overflow_check", mock_json_config) + self.assertEqual(str(context.exception), "check_mode is invalid") + task_config = parse_task_config("free_benchmark", mock_json_config) self.assertTrue(isinstance(task_config, FreeBenchmarkConfig)) -- Gitee From 23e2bd22ec90d3582c49b7a51557ce3fc1f5576f Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Mon, 12 Aug 2024 09:22:01 +0800 Subject: [PATCH 151/160] clean code --- .../tensor_transport_layer/device_dispatch.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py index 42f34bfc68..1a54622034 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/device_dispatch.py @@ -44,7 +44,7 @@ def run_ut_process(xpu_id, compare, consumer_queue, func, config): logger.warning(f"API {api_name} not support int32 tensor in CPU, please add {api_name} to CONVERT_API " f"'int32_to_int64' list in accuracy_tools/msprobe/core/common/const.py file.") elif api_type in [Const.DISTRIBUTED]: - logger.info(f"{api_name} is not supported for run ut. SKIP.") + logger.info(f"{api_full_name} is not supported for run ut. SKIP.") else: logger.error(f"Run {api_full_name} UT Error: {str(err)}") -- Gitee From 31fc53261e5ab7c5b7f646bbabfdf1fd495589e7 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Mon, 12 Aug 2024 11:21:24 +0800 Subject: [PATCH 152/160] online_run_ut add black_list --- .../api_accuracy_checker/run_ut/run_ut.py | 34 +++++++++++++------ 1 file changed, 24 insertions(+), 10 deletions(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index a1e2e64a9b..90c6e94540 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -219,9 +219,7 @@ def run_api_offline(config, compare, api_name_set): continue [_, api_name, _] = api_full_name.split(Const.SEP) try: - if config.black_list and api_name in config.black_list: - continue - if config.white_list and api_name not in config.white_list: + if blacklist_and_whitelist_filter(api_name, config.black_list, config.white_list): continue data_info = run_torch_api(api_full_name, config.real_data_path, config.backward_content, api_info_dict) is_fwd_success, is_bwd_success = compare.compare_output(api_full_name, data_info) @@ -265,11 +263,9 @@ def run_api_online(config, compare): if not isinstance(api_data, ApiData): continue api_full_name = api_data.name - - if config.white_list: - [_, api_name, _] = api_full_name.split(Const.SEP) - if api_name not in set(config.white_list): - continue + [_, api_name, _] = api_full_name.split(Const.SEP) + if blacklist_and_whitelist_filter(api_name, config.black_list, config.white_list): + continue dispatcher.update_consume_queue(api_data) def shared_storage_communication_flow(): @@ -285,8 +281,13 @@ def run_api_online(config, compare): if flag_num == 0: dispatcher.stop() break - if isinstance(api_data, ApiData): - dispatcher.update_consume_queue(api_data) + if not isinstance(api_data, ApiData): + continue + api_full_name = api_data.name + [_, api_name, _] = api_full_name.split(Const.SEP) + if blacklist_and_whitelist_filter(api_name, config.black_list, config.white_list): + continue + dispatcher.update_consume_queue(api_data) if config.online_config.nfs_path: shared_storage_communication_flow() @@ -294,6 +295,19 @@ def run_api_online(config, compare): tcp_communication_flow() +def blacklist_and_whitelist_filter(api_name, black_list, white_list): + """ + run api(api_name) if api_name not in black_list and in white_list. + If api is both in black_list and black_list, black_list first. + return: False for exec api, True for not exec + """ + if black_list and api_name in black_list: + return True + if white_list and api_name not in white_list: + return True + return False + + def is_unsupported_api(api_name): split_name = api_name.split(Const.SEP)[0] flag = split_name in [Const.NPU, Const.DISTRIBUTED] -- Gitee From 3d8d53876a351b04fbb2d5dc15b81ef663da4a17 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Mon, 12 Aug 2024 11:42:32 +0800 Subject: [PATCH 153/160] add annotation --- .../msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 90c6e94540..c06d8707e3 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -556,6 +556,8 @@ def run_ut_command(args): logger.error(f"Set device id failed. device id is: {args.device_id}") raise NotImplementedError from error + # 在线预检场景下，不需要外出输出api信息，forward_content, backward_content, real_data_path设置为None + # 离线场景下，forward_content, backward_content, real_data_path从api_info_file中解析 forward_content, backward_content, real_data_path = None, None, None if args.api_info_file: check_link(args.api_info_file) -- Gitee From 67c6240737cae49fa834e418202ae16aeaa58b14 Mon Sep 17 00:00:00 2001 From: wangqingcai Date: Mon, 12 Aug 2024 14:28:00 +0800 Subject: [PATCH 154/160] skip Distributed api --- .../api_accuracy_checker/tensor_transport_layer/attl.py | 2 +- debug/accuracy_tools/msprobe/pytorch/service.py | 4 ++++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py index e699bc554c..9ff0ad703c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/tensor_transport_layer/attl.py @@ -93,7 +93,7 @@ class ATTL: try: torch.save(buffer, io_buff) except Exception as e: - logger.info(f"{buffer.name} can not be saved, skip: {e}") + self.logger.info(f"{buffer.name} can not be saved, skip: {e}") return data = io_buff.getvalue() self.socket_manager.add_to_sending_queue(data, rank=rank, step=step) diff --git a/debug/accuracy_tools/msprobe/pytorch/service.py b/debug/accuracy_tools/msprobe/pytorch/service.py index 12844f600b..980c7d840c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/service.py +++ b/debug/accuracy_tools/msprobe/pytorch/service.py @@ -235,6 +235,10 @@ class Service: def attl_send(self, api_data): logger.info(f"tools is dumping api: {api_data.name}, rank: {self.current_rank}") + api_type, _, _ = api_data.name.split(Const.SEP) + if api_type in [Const.DISTRIBUTED]: + logger.info(f"api {api_data.name} is not supported, skip") + return if self.config.nfs_path: self.attl.upload(api_data) else: -- Gitee From 3cc44bee53ad0efd888d55d897414a792b9657fb Mon Sep 17 00:00:00 2001 From: pxp1 <958876660@qq.com> Date: Mon, 12 Aug 2024 14:39:58 +0800 Subject: [PATCH 155/160] =?UTF-8?q?=E5=88=A0=E9=99=A4=E4=BB=A3=E7=A0=81?= =?UTF-8?q?=E4=B8=AD=E7=9A=84todo?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../accuracy_tools/kj600/kj600/distributed/wrap_distributed.py | 2 +- .../msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py | 2 +- .../msprobe/pytorch/free_benchmark/compare/grad_saver.py | 1 - .../pytorch/free_benchmark/result_handlers/handler_factory.py | 1 - 4 files changed, 2 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/kj600/kj600/distributed/wrap_distributed.py b/debug/accuracy_tools/kj600/kj600/distributed/wrap_distributed.py index 80f978c94c..77fd7924f9 100644 --- a/debug/accuracy_tools/kj600/kj600/distributed/wrap_distributed.py +++ b/debug/accuracy_tools/kj600/kj600/distributed/wrap_distributed.py @@ -142,7 +142,7 @@ def op_aggregate(op, tensorlist): return max(tensorlist) if op == 'norm': return sum(tensorlist) - if op == 'zeros': # TODO wrong + if op == 'zeros': return sum(tensorlist) / len(tensorlist) if len(tensorlist) != 0 else 0 return torch.nan diff --git a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py index 559dfdc0f1..96ace0f680 100644 --- a/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py +++ b/debug/accuracy_tools/msprobe/pytorch/api_accuracy_checker/run_ut/run_ut.py @@ -195,7 +195,7 @@ def run_ut(config): for _, (api_full_name, api_info_dict) in enumerate(tqdm(config.forward_content.items(), **tqdm_params)): if api_full_name in api_name_set: continue - if is_unsupported_api(api_full_name): # TODO run_ut does not support to the npu fusion api and distributed api + if is_unsupported_api(api_full_name): continue [_, api_name, _] = api_full_name.split(Const.SEP) try: diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py index 1cf75524de..e58223e597 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/compare/grad_saver.py @@ -60,7 +60,6 @@ class GradSaver: _index += 1 def compare_grad_results(self, handler, origin_grad, perturbed_grad, index): - # TODO get dtype? data_params = DataParams() data_params.original_result = origin_grad data_params.perturbed_result = perturbed_grad diff --git a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/result_handlers/handler_factory.py b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/result_handlers/handler_factory.py index 5ee968c6a8..46efd8283c 100644 --- a/debug/accuracy_tools/msprobe/pytorch/free_benchmark/result_handlers/handler_factory.py +++ b/debug/accuracy_tools/msprobe/pytorch/free_benchmark/result_handlers/handler_factory.py @@ -22,7 +22,6 @@ class FuzzHandlerFactory: handler = FuzzHandlerFactory.result_handlers.get(params.handler_type) else: handler = FuzzHandlerFactory.result_handlers.get(HandlerType.PREHEAT) - # TODO if not handler: raise FreeBenchmarkException( FreeBenchmarkException.UnsupportedType, -- Gitee From 3bd8119a1e6be1157b19e7989527702786af7d16 Mon Sep 17 00:00:00 2001 From: pxp1 <958876660@qq.com> Date: Mon, 12 Aug 2024 15:13:03 +0800 Subject: [PATCH 156/160] =?UTF-8?q?=E9=85=8D=E7=BD=AE=E6=96=87=E4=BB=B6?= =?UTF-8?q?=E5=86=85=E5=AE=B9=E6=A0=A1=E9=AA=8C?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../accuracy_tools/msprobe/mindspore/ms_config.py | 15 ++++++++++++--- debug/accuracy_tools/msprobe/pytorch/pt_config.py | 15 ++++++++++++--- 2 files changed, 24 insertions(+), 6 deletions(-) diff --git a/debug/accuracy_tools/msprobe/mindspore/ms_config.py b/debug/accuracy_tools/msprobe/mindspore/ms_config.py index 0e7ce15292..9bde399498 100644 --- a/debug/accuracy_tools/msprobe/mindspore/ms_config.py +++ b/debug/accuracy_tools/msprobe/mindspore/ms_config.py @@ -5,6 +5,8 @@ from msprobe.core.common.file_check import FileOpen from msprobe.core.common.const import Const from msprobe.mindspore.common.const import FreeBenchmarkConst from msprobe.mindspore.common.log import logger +from msprobe.core.grad_probe.constant import level_adp +from msprobe.core.grad_probe.utils import check_numeral_list_ascend class TensorConfig(BaseConfig): @@ -76,9 +78,16 @@ class FreeBenchmarkConfig(BaseConfig): class GradProbeConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) - self.grad_level = json_config.get("grad_level") - self.param_list = json_config.get("param_list") - self.bounds = json_config.get("bounds") + self.grad_level = json_config.get("grad_level", "L1") + self.param_list = json_config.get("param_list", []) + self.bounds = json_config.get("bounds", []) + + def _check_config(self): + if self.grad_level not in level_adp.keys(): + raise Exception(f"grad_level must be one of {level_adp.keys()}") + if not isinstance(self.param_list, list): + raise Exception(f"param_list must be a list") + check_numeral_list_ascend(self.bounds) TaskDict = { diff --git a/debug/accuracy_tools/msprobe/pytorch/pt_config.py b/debug/accuracy_tools/msprobe/pytorch/pt_config.py index 2acd0ec537..49f5e56f5a 100644 --- a/debug/accuracy_tools/msprobe/pytorch/pt_config.py +++ b/debug/accuracy_tools/msprobe/pytorch/pt_config.py @@ -5,6 +5,8 @@ from msprobe.core.common_config import CommonConfig, BaseConfig from msprobe.core.common.file_check import FileOpen from msprobe.core.common.const import Const from msprobe.pytorch.hook_module.utils import WrapFunctionalOps, WrapTensorOps, WrapTorchOps +from msprobe.core.grad_probe.constant import level_adp +from msprobe.core.grad_probe.utils import check_numeral_list_ascend class TensorConfig(BaseConfig): @@ -109,9 +111,16 @@ class RunUTConfig(BaseConfig): class GradToolConfig(BaseConfig): def __init__(self, json_config): super().__init__(json_config) - self.grad_level = json_config.get("grad_level") - self.param_list = json_config.get("param_list") - self.bounds = json_config.get("bounds") + self.grad_level = json_config.get("grad_level", "L1") + self.param_list = json_config.get("param_list", []) + self.bounds = json_config.get("bounds", []) + + def _check_config(self): + if self.grad_level not in level_adp.keys(): + raise Exception(f"grad_level must be one of {level_adp.keys()}") + if not isinstance(self.param_list, list): + raise Exception(f"param_list must be a list") + check_numeral_list_ascend(self.bounds) def parse_task_config(task, json_config): -- Gitee From 10a875727152d516f81d1be44302b0f69e4b8545 Mon Sep 17 00:00:00 2001 From: CSNIU Date: Sat, 10 Aug 2024 16:51:35 +0800 Subject: [PATCH 157/160] =?UTF-8?q?=E3=80=90bugfix=E3=80=91mindpsore?= =?UTF-8?q?=E7=B2=BE=E5=BA=A6=E6=AF=94=E5=AF=B9=E6=A8=A1=E5=9D=97=E4=BB=A3?= =?UTF-8?q?=E7=A0=81=E9=87=8D=E6=9E=84=E6=A3=80=E8=A7=86=E6=84=8F=E8=A7=81?= =?UTF-8?q?=E6=95=B4=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../msprobe/core/compare/acc_compare.py | 9 +- .../msprobe/core/compare/mapping.yaml | 607 ------------------ .../msprobe/core/compare/match.py | 36 -- .../msprobe/core/compare/utils.py | 2 +- .../mindspore/compare/distributed_compare.py | 2 +- .../msprobe/mindspore/compare/ms_compare.py | 27 +- debug/accuracy_tools/msprobe/msprobe.py | 42 +- .../pytorch/compare/distributed_compare.py | 2 +- .../msprobe/pytorch/compare/pt_compare.py | 20 +- 9 files changed, 49 insertions(+), 698 deletions(-) delete mode 100644 debug/accuracy_tools/msprobe/core/compare/mapping.yaml delete mode 100644 debug/accuracy_tools/msprobe/core/compare/match.py diff --git a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py index 7705a748d9..aa2016247f 100644 --- a/debug/accuracy_tools/msprobe/core/compare/acc_compare.py +++ b/debug/accuracy_tools/msprobe/core/compare/acc_compare.py @@ -4,7 +4,7 @@ from msprobe.core.common.const import CompareConst from msprobe.core.compare.npy_compare import compare_ops_apply, get_error_type, reshape_value, get_relative_err, \ get_error_message from msprobe.core.common.exceptions import FileCheckException -from msprobe.core.compare.utils import read_op, merge_tensor,CompareException +from msprobe.core.compare.utils import read_op, merge_tensor, CompareException from msprobe.core.compare.multiprocessing_compute import _handle_multi_process from msprobe.core.common.log import logger from msprobe.core.compare.check import check_graph_mode, check_struct_match, fuzzy_check_op @@ -59,7 +59,7 @@ class Comparator: b_op_name = bench_dict["op_name"] graph_mode = check_graph_mode(a_op_name[0], b_op_name[0]) - frame_name=getattr(self,"frame_name") + frame_name = getattr(self,"frame_name") if frame_name == "PTComparator": from msprobe.pytorch.compare.match import graph_mapping if graph_mode: @@ -75,7 +75,6 @@ class Comparator: is_match = False return is_match and struct_match - def match_op(self, npu_queue, bench_queue, fuzzy_match): for b_index, b_op in enumerate(bench_queue[0: -1]): if self.check_op(npu_queue[-1], b_op, fuzzy_match): @@ -96,7 +95,7 @@ class Comparator: error_flag = True else: try: - read_npy_data=getattr(self,"read_npy_data") + read_npy_data = getattr(self,"read_npy_data") n_value = read_npy_data(input_parma.get("npu_dump_data_dir"), npu_bench_name_list[0]) b_value = read_npy_data(input_parma.get("bench_dump_data_dir"), npu_bench_name_list[1]) except IOError as error: @@ -123,7 +122,7 @@ class Comparator: def _do_multi_process(self,input_parma, result_df): try: - compare_ops=getattr(self,"compare_ops") + compare_ops = getattr(self,"compare_ops") result_df = _handle_multi_process(compare_ops, input_parma, result_df, multiprocessing.Manager().RLock()) return result_df except ValueError as e: diff --git a/debug/accuracy_tools/msprobe/core/compare/mapping.yaml b/debug/accuracy_tools/msprobe/core/compare/mapping.yaml deleted file mode 100644 index eaffbe7a18..0000000000 --- a/debug/accuracy_tools/msprobe/core/compare/mapping.yaml +++ /dev/null @@ -1,607 +0,0 @@ -__and__: __and__ -__iand__: __iand__ -__ilshift__: __ilshift__ -__ior__: __ior__ -__irshift__: __irshift__ -__ixor__: __ixor__ -__lshift__: __lshift__ -__or__: __or__ -__rshift__: __rshift__ -__xor__: __xor__ -_adaptive_avg_pool2d: adaptive_avg_pool2d -_adaptive_avg_pool3d: adaptive_avg_pool3d -_cdist_forward: cdist -_cudnn_rnn: rnn -_embedding_bag: embedding_bag -_fft_c2c: fft -_fft_c2r: rfft -_foreach_add_: _foreach_add_ -_foreach_addcdiv: _foreach_addcdiv -_foreach_copy_: _foreach_copy_ -_foreach_lerp_: _foreach_lerp_ -_foreach_maximum: _foreach_maximum -_foreach_mul: _foreach_mul -_foreach_neg_: _foreach_neg_ -_foreach_pow: _foreach_pow -_foreach_reciprocal_: _foreach_reciprocal_ -_foreach_sign: _foreach_sign -_foreach_sqrt: _foreach_sqrt -_foreach_sqrt_: _foreach_sqrt_ -_foreach_sub: _foreach_sub -_fused_adam: FusedAdam -_linalg_det: det -_linalg_eigh: eigh -_linalg_slogdet: slogdet -_linalg_svd: svd -_list_to_tensor: as_tensor -_log_softmax: log_softmax -_native_batch_norm_legit: batch_norm -_nested_tensor_from_tensor_list: _nested_tensor_from_tensor_list -_pdist_forward: pdist -_pin_memory: pin_memory -_reshape_alias: reshape -_resize_output_: resize_ -_softmax: softmax -_to_copy: to -abs: abs -abs_: abs_ -absolute: abs -absolute_: abs_ -acos: acos -acos_: acos_ -acosh: acosh -acosh_: acosh_ -adaptive_max_pool2d: adaptive_max_pool2d -adaptive_max_pool3d: adaptive_max_pool3d -add: add -add_: add_ -addbmm: addbmm -addbmm_: addbmm_ -addcdiv: addcdiv -addcdiv_: addcdiv_ -addcmul: addcmul -addcmul_: addcmul_ -addmm: addmm -addmm_: addmm_ -addmv: addmv -addmv_: addmv_ -addr: addr -affine_grid_generator: affine_grid -alias: alias -all: all -alpha_dropout: AlphaDropout -amax: amax -amin: amin -aminmax: aminmax -angle: angle -any: any -arange: arange -arccos: acos -arccos_: arccos_ -arccosh: arccosh -arccosh_: arccosh_ -arcsin: asin -arcsin_: arcsin_ -arcsinh: asinh -arcsinh_: arcsinh_ -arctan: atan -arctan2: atan2 -arctan2_: arctan2_ -arctan_: arctan_ -arctanh: arctanh -arctanh_: arctanh_ -argmax: argmax -argmin: argmin -argsort: argsort -as_strided: as_strided -asin: asin -asin_: asin_ -asinh: asinh -asinh_: asinh_ -atan: atan -atan2: atan2 -atan2_: atan2_ -atan_: atan_ -atanh: atanh -atanh_: atanh_ -avg_pool2d: avg_pool2d -avg_pool3d: avg_pool3d -baddbmm: baddbmm -baddbmm_: baddbmm_ -bernoulli: bernoulli -bernoulli_: bernoulli_ -binary_cross_entropy: BCELoss -binary_cross_entropy_with_logits: binary_cross_entropy_with_logits -bitwise_and: bitwise_and -bitwise_and_: bitwise_and_ -bitwise_left_shift: __lshift__ -bitwise_left_shift_: bitwise_left_shift_ -bitwise_not: bitwise_not -bitwise_not_: bitwise_not_ -bitwise_or: bitwise_or -bitwise_or_: bitwise_or_ -bitwise_right_shift: __rshift__ -bitwise_right_shift_: bitwise_right_shift_ -bitwise_xor: bitwise_xor -bitwise_xor_: bitwise_xor_ -bmm: bmm -broadcast_tensors: broadcast_tensors -bucketize: bucketize -cat: cat -cauchy: Cauchy -cauchy_: cauchy_ -ceil: ceil -ceil_: ceil_ -celu: celu -celu_: celu_ -cholesky: cholesky -cholesky_inverse: cholesky_inverse -cholesky_solve: cholesky_solve -clamp: clamp -clamp_: clamp_ -clamp_max: clamp_max -clamp_max_: clamp_max_ -clamp_min: clamp_min -clamp_min_: clamp_min_ -clip: clip -clip_: clip_ -clone: clone -col2im: col2im -complex: complex -conj_physical: conj -conj_physical_: conj_ -constant_pad_nd: pad -convolution: Conv2d -copy: copy_ -copy_: copy_ -copysign: copysign -copysign_: copysign_ -cos: cos -cos_: cos_ -cosh: cosh -cosh_: cosh_ -count_nonzero: count_nonzero -cudnn_batch_norm: BatchNorm2d -cummax: cummax -cummin: cummin -cumprod: cumprod -cumprod_: cumprod_ -cumsum: cumsum -cumsum_: cumsum_ -deg2rad: deg2rad -deg2rad_: deg2rad_ -detach: detach -diag: diag -diag_embed: diag_embed -diagonal: diagonal -diagonal_copy: diagonal -diagonal_scatter: diagonal -digamma: digamma -digamma_: digamma_ -dist: dist -div: div -div_: div_ -divide: div -divide_: divide_ -dot: dot -dropout: dropout -elu: ELU -elu_: elu_ -embedding: embedding -empty_like: empty_like -empty_strided: empty_strided -eq: eq -eq_: eq_ -erf: erf -erf_: erf_ -erfc: erfc -erfc_: erfc_ -erfinv: erfinv -erfinv_: erfinv_ -exp: exp -exp2: exp2 -exp2_: exp2_ -exp_: exp_ -expand: expand -expm1: expm1 -expm1_: expm1_ -exponential: Exponential -exponential_: exponential_ -eye: eye -fft_fft: fft -fft_fft2: fft2 -fft_fftn: fftn -fft_fftshift: fftshift -fft_hfft: hfft -fft_hfft2: hfft2 -fft_hfftn: hfftn -fft_ifft: ifft -fft_ifft2: ifft2 -fft_ifftn: ifftn -fft_ifftshift: ifftshift -fft_ihfft: ihfft -fft_ihfft2: ihfft2 -fft_ihfftn: ifftn -fft_irfft: irfft -fft_irfft2: irfft2 -fft_irfftn: irfftn -fft_rfft: rfft -fft_rfft2: rfft2 -fft_rfftn: rfftn -fill: fill_ -fill_: fill_ -fix: fix -fix_: fix_ -flip: flip -float_power_: float_power_ -floor: floor -floor_: floor_ -floor_divide: floor_divide -floor_divide_: floor_divide_ -fmax: fmax -fmin: fmin -fmod: fmod -fmod_: fmod_ -frac: frac -frac_: frac_ -full: full -full_like: full_like -gather: gather -gcd: gcd -gcd_: gcd_ -ge: ge -ge_: ge_ -gelu: GELU -gelu_: gelu_ -geometric: Geometric -geometric_: geometric_ -glu: glu -greater: gt -greater_: ge_ -greater_equal: ge -greater_equal_: ge_ -grid_sampler_2d: grid_sample -grid_sampler_3d: grid_sample -gru: GRU -gt: gt -gt_: gt_ -hardshrink: Hardshrink -hardsigmoid: hardsigmoid -hardsigmoid_: hardsigmoid_ -hardswish: hardswish -hardswish_: hardswish_ -hardtanh: hardtanh -hardtanh_: hardtanh_ -heaviside: heaviside -heaviside_: heaviside_ -hinge_embedding_loss: HingeEmbeddingLoss -huber_loss: huber_loss -hypot: hypot -hypot_: hypot_ -i0: i0 -i0_: i0_ -igamma: igamma -igamma_: igamma_ -igammac: igammac -igammac_: igammac_ -index: __getitem__ -index_add: index_add -index_add_: index_add_ -index_copy: index_copy_ -index_copy_: index_copy_ -index_fill: index_fill_ -index_fill_: index_fill_ -index_put: index_put_ -index_put_: index_put_ -index_reduce: index_select -index_select: index_select -is_pinned: is_pinned -is_same_size: is_same_size -isinf: isinf -isnan: isnan -isneginf: isneginf -isposinf: isposinf -istft: istft -item: item -lcm: lcm -lcm_: lcm_ -le: le -le_: le_ -leaky_relu: LeakyReLU -leaky_relu_: leaky_relu_ -lerp: lerp -lerp_: lerp_ -less: less -less_: less_ -less_equal: le -less_equal_: less_equal_ -lgamma: lgamma -lgamma_: lgamma_ -linalg_cholesky_ex: cholesky -linalg_cross: cross -linalg_householder_product: householder_product -linalg_inv_ex: inv -linalg_ldl_factor_ex: ldl -linalg_ldl_solve: ldl_solve -linalg_lu: lu -linalg_lu_factor_ex: lu_factor -linalg_lu_solve: lu_solve -linalg_matrix_exp: matrix_exp -linalg_qr: qr -linalg_solve_triangular: solve -linalg_vector_norm: norm -linspace: linspace -log: log -log10: log10 -log10_: log10_ -log1p: log1p -log1p_: log1p_ -log2: log2 -log2_: log2_ -log_: log_ -log_normal: LogNormal -log_sigmoid_forward: log_sigmoid -logaddexp: logaddexp -logaddexp2: logaddexp2 -_native_batch_norm_legit_functional: batch_norm -logcumsumexp: logcumsumexp -logical_and: logical_and -logical_and_: logical_and_ -logical_not: logical_not -logical_not_: logical_not_ -logical_or: logical_or -logical_or_: logical_or_ -logical_xor: logical_xor -logical_xor_: logical_xor_ -logit: logit -logit_: logit_ -logspace: logspace -logsumexp: logsumexp -lstm: LSTM -lt: lt -lt_: lt_ -lu_unpack: lu_unpack -margin_ranking_loss: margin_ranking_loss -masked_fill: masked_fill -masked_fill_: masked_fill_ -matmul: matmul -max: max -max_pool2d_with_indices: MaxPool2d -max_pool3d_with_indices: MaxPool3d -max_unpool2d: MaxUnpool2d -max_unpool3d: max_unpool3d -maximum: maximum -mean: mean -median: median -meshgrid: meshgrid -min: min -minimum: minimum -mish: Mish -mish_: mish_ -mm: mm -mode: mode -mse_loss: mse_loss -mul: mul -mul_: mul_ -multi_margin_loss: MultiMarginLoss -multilabel_margin_loss_forward: multilabel_margin_loss -multinomial: multinomial -multiply: multiply -multiply_: mul_ -mv: mv -mvlgamma: mvlgamma -mvlgamma_: mvlgamma_ -name: name -nan_to_num: nan_to_num -nan_to_num_: nan_to_num_ -nanmedian: nanmedian -nansum: nansum -narrow_copy: narrow -native_batch_norm: BatchNorm2d -native_dropout: dropout -native_group_norm: group_norm -native_layer_norm: LayerNorm -ne: ne -ne_: ne_ -neg: neg -neg_: neg_ -negative: neg -negative_: neg_ -new_empty: new_empty -new_empty_strided: new_empty_strided -new_full: new_full -new_ones: new_ones -new_zeros: new_zeros -nextafter: nextafter -nextafter_: nextafter_ -nll_loss: nll_loss -nll_loss2d_forward: NLLLoss2d -nll_loss_forward: NLLLoss -nonzero_static: nonzero -norm: norm -normal: normal -normal_: normal_ -not_equal: ne -not_equal_: ne_ -ones: ones -ones_like: ones_like -ormqr: ormqr -pairwise_distance: pairwise_distance -pdist: pdist -permute: permute -pin_memory: pin_memory -pixel_shuffle: PixelShuffle -polar: polar -polygamma: polygamma -positive: positive -pow: pow -pow_: pow_ -prelu: prelu -prod: prod -quantized_gru: GRU -quantized_lstm: LSTM -rad2deg: rad2deg -rad2deg_: rad2deg_ -rand: rand -rand_like: rand_like -randint: randint -randint_like: randint_like -randn: randn -randn_like: randn_like -randperm: randperm -reciprocal: reciprocal -reciprocal_: reciprocal_ -reflection_pad1d: reflection_pad1d -reflection_pad2d: reflection_pad2d -reflection_pad3d: ReflectionPad3d -relu: relu -relu6: relu6 -relu_: relu_ -remainder: remainder -remainder_: remainder_ -renorm: renorm -renorm_: renorm_ -repeat: repeat -repeat_interleave: repeat_interleave -replication_pad1d: ReplicationPad1d -replication_pad2d: replication_pad2d -replication_pad3d: replication_pad3d -resize_as_: resize_as_ -rnn_relu: RNN -rnn_tanh: RNN -roll: roll -rot90: rot90 -round: round -round_: round_ -rrelu_with_noise: RReLU -rrelu_with_noise_: rrelu_with_noise -rsqrt: rsqrt -rsqrt_: rsqrt_ -rsub: rsub -scalar_tensor: scalar_tensor -scatter: scatter_ -scatter_: scatter_ -scatter_add: scatter_add -scatter_add_: scatter_add_ -searchsorted: searchsorted -select: select -selu: selu -selu_: selu_ -sgn: sgn -sgn_: sgn_ -sigmoid: sigmoid -sigmoid_: sigmoid_ -sign: sign -sign_: sign_ -signbit: signbit -silu: silu -silu_: silu_ -sin: sin -sin_: sin_ -sinc: sinc -sinc_: sinc_ -sinh: sinh -sinh_: sinh_ -slice: slice -smooth_l1_loss: smooth_l1_loss -soft_margin_loss: soft_margin_loss -softplus: softplus -softshrink: softshrink -sort: sort -special_airy_ai: airy_ai -special_bessel_j0: j0 -special_bessel_j1: j1 -special_bessel_y0: y0 -special_bessel_y1: y1 -special_chebyshev_polynomial_t: chebyshev_t -special_chebyshev_polynomial_u: chebyshev_u -special_entr: entr -special_erfcx: erfcx -special_hermite_polynomial_h: hermite -special_hermite_polynomial_he: he -special_i0: i0 -special_i0e: i0e -special_i1: i1 -special_i1e: i1e -special_laguerre_polynomial_l: laguerre_l -special_log_ndtr: log_ndtr -special_modified_bessel_i0: i0 -special_modified_bessel_i1: i1 -special_modified_bessel_k0: k0 -special_modified_bessel_k1: i1 -special_ndtr: ndtr -special_ndtri: ndtri -special_scaled_modified_bessel_k0: i0e -special_scaled_modified_bessel_k1: scaled_modified_bessel_k1 -special_spherical_bessel_j0: spherical_jn -special_xlog1py: xlog1py -special_zeta: zeta -split: split -split_with_sizes: split -sqrt: sqrt -sqrt_: sqrt_ -square: square -square_: square_ -squeeze: squeeze -stack: stack -std: std -std_mean: std_mean -stft: stft -sub: sub -sub_: sub_ -subtract: sub -subtract_: subtract_ -sum: sum -t: t -t_: t_ -take: take -tan: tan -tan_: tan_ -tanh: tanh -tanh_: tanh_ -threshold: threshold -threshold_: threshold_ -to: to -topk: topk -trace: trace -transpose: transpose -transpose_: transpose_ -triangular_solve: triangular_solve -tril: tril -tril_: tril_ -tril_indices: tril_indices -triu: triu -triu_: triu_ -triu_indices: triu_indices -true_divide: true_divide -true_divide_: true_divide_ -trunc: trunc -trunc_: trunc_ -unbind: unbind -unfold: unfold -uniform: Uniform -uniform_: uniform_ -unsafe_chunk: unsafe_chunk -unsafe_split: split -unsafe_split_with_sizes: split_with_sizes -unsqueeze: unsqueeze -unsqueeze_: unsqueeze_ -upsample_bicubic2d: interpolate -upsample_bilinear2d: upsample_bilinear -upsample_nearest1d: interpolate -upsample_nearest2d: interpolate -upsample_nearest3d: interpolate -var: var -var_mean: var_mean -vdot: vdot -view: view -where: where -xlogy: xlogy -xlogy_: xlogy_ -zero: zeros -zero_: zero_ -zeros: zeros -zeros_like: zeros_like - - - diff --git a/debug/accuracy_tools/msprobe/core/compare/match.py b/debug/accuracy_tools/msprobe/core/compare/match.py deleted file mode 100644 index 2a46105bdf..0000000000 --- a/debug/accuracy_tools/msprobe/core/compare/match.py +++ /dev/null @@ -1,36 +0,0 @@ -import os -import yaml -from msprobe.core.common.file_check import FileOpen -from msprobe.core.common.utils import CompareException - - -class AtenIrMapping(): - def __init__(self): - cur_path = os.path.dirname(os.path.realpath(__file__)) - yaml_path = os.path.join(cur_path, "mapping.yaml") - with FileOpen(yaml_path, 'r') as f: - self.aten_mapping = yaml.safe_load(f) - - def match(self, op1, op2): - if "Aten" in op1 and "Aten" not in op2: - return self.match_op(op1, op2) - else: - return self.match_op(op2, op1) - - def match_op(self, aten_op, torch_op): - try: - aten_op_raw_name_overload = '_'.join(aten_op.split("_")[1:-3]) - aten_op_raw_name = aten_op_raw_name_overload.split('.')[0] - torch_op_raw_name = '_'.join(torch_op.split("_")[1:-3]).lower() - except IndexError as e: - err_msg = f"Dump op name format error: {aten_op}, {torch_op}. Your dump data may be corrupted." - raise CompareException.INVALID_DATA_ERROR(err_msg) from e - matching_op = self.aten_mapping.get(aten_op_raw_name) - if matching_op is None: - return False - if matching_op.lower() == torch_op_raw_name: - return True - return False - - -graph_mapping = AtenIrMapping() diff --git a/debug/accuracy_tools/msprobe/core/compare/utils.py b/debug/accuracy_tools/msprobe/core/compare/utils.py index 63b7454320..510403bf32 100644 --- a/debug/accuracy_tools/msprobe/core/compare/utils.py +++ b/debug/accuracy_tools/msprobe/core/compare/utils.py @@ -65,7 +65,7 @@ def rename_api(npu_name, process): def read_op(op_data, op_name): - op_parsed_list = [] + op_parsed_list = Const.DEFAULT_LIST if 'forward' in op_name: if 'input_args' in op_data: input_item = op_data['input_args'] diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py index 6f84a69e93..08f0a03ec7 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/distributed_compare.py @@ -60,6 +60,6 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') raise CompareException(error.code) from error - msComparator=MSComparator() + msComparator = MSComparator() msComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py index be7439cb0e..a4736a91bb 100644 --- a/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py +++ b/debug/accuracy_tools/msprobe/mindspore/compare/ms_compare.py @@ -1,24 +1,23 @@ import json import os.path import numpy as np - from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory from msprobe.core.common.const import FileCheckConst - +from msprobe.core.common.log import logger +from msprobe.core.common.exceptions import FileCheckException from msprobe.core.compare.utils import get_un_match_accuracy, get_accuracy from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator -from msprobe.core.common.log import logger -from msprobe.core.common.exceptions import FileCheckException + class MSComparator (Comparator): def __init__(self): - self.frame_name=MSComparator.__name__ + self.frame_name = MSComparator.__name__ def compare_ops(self,idx, dump_path_dict, result_df, lock, input_parma): cos_result = [] @@ -47,12 +46,12 @@ class MSComparator (Comparator): five_thousand_err_ratio_result.append(five_thousand_err_ratio) cr = ComparisonResult( - cos_result=cos_result, - max_err_result=max_err_result, - max_relative_err_result=max_relative_err_result, - err_msgs=err_mess, - one_thousand_err_ratio_result=one_thousand_err_ratio_result, - five_thousand_err_ratio_result=five_thousand_err_ratio_result + cos_result = cos_result, + max_err_result = max_err_result, + max_relative_err_result = max_relative_err_result, + err_msgs = err_mess, + one_thousand_err_ratio_result = one_thousand_err_ratio_result, + five_thousand_err_ratio_result = five_thousand_err_ratio_result ) return _save_cmp_result(idx, cr, result_df, lock) @@ -121,8 +120,6 @@ class MSComparator (Comparator): result_df = self.make_result_table(result,md5_compare,summary_compare,stack_mode) return result_df - - def read_npy_data(self,dir_path, file_name): data_path = os.path.join(dir_path, file_name) path_checker = FileChecker(data_path, FileCheckConst.FILE, FileCheckConst.READ_ABLE, @@ -130,7 +127,7 @@ class MSComparator (Comparator): data_path = path_checker.common_check() data_value = np.load(data_path) # detach for less memory if data_value.dtype == np.float16: - data_value=data_value.astype(np.float32) + data_value = data_value.astype(np.float32) return data_value @@ -188,7 +185,7 @@ def ms_compare(input_param, output_path, stack_mode=False, auto_analyze=True, fu except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') raise CompareException(error.code) from error - msComparator=MSComparator() + msComparator = MSComparator() msComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, md5_compare=md5_compare) \ No newline at end of file diff --git a/debug/accuracy_tools/msprobe/msprobe.py b/debug/accuracy_tools/msprobe/msprobe.py index 802913814e..54b4a12d01 100644 --- a/debug/accuracy_tools/msprobe/msprobe.py +++ b/debug/accuracy_tools/msprobe/msprobe.py @@ -43,32 +43,32 @@ def main(): multi_run_ut_cmd_parser = subparsers.add_parser('multi_run_ut') api_precision_compare_cmd_parser = subparsers.add_parser('api_precision_compare') run_overflow_check_cmd_parser = subparsers.add_parser('run_overflow_check') - multi_run_ut_cmd_parser.add_argument('-n', '--num_splits', type=int, choices=range(1, 65), default=8, - help='Number of splits for parallel processing. Range: 1-64') - _compare_parser(compare_cmd_parser) + is_torch_available=is_module_available("torch") + if is_torch_available: + from msprobe.pytorch.api_accuracy_checker.run_ut.run_ut import _run_ut_parser, run_ut_command + from msprobe.pytorch.parse_tool.cli import parse as cli_parse + from msprobe.pytorch.api_accuracy_checker.run_ut.multi_run_ut import prepare_config, run_parallel_ut + from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _api_precision_compare_parser, \ + _api_precision_compare_command + from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ + _run_overflow_check_command + from msprobe.pytorch.compare.compare_cli import compare_cli + _run_ut_parser(run_ut_cmd_parser) + _run_ut_parser(multi_run_ut_cmd_parser) + multi_run_ut_cmd_parser.add_argument('-n', '--num_splits', type=int, choices=range(1, 65), default=8, + help='Number of splits for parallel processing. Range: 1-64') + _api_precision_compare_parser(api_precision_compare_cmd_parser) + _run_overflow_check_parser(run_overflow_check_cmd_parser) if len(sys.argv) == 1: parser.print_help() sys.exit(0) args = parser.parse_args(sys.argv[1:]) if sys.argv[2] == "pytorch": - if is_module_available("torch"): - from msprobe.pytorch.api_accuracy_checker.run_ut.run_ut import _run_ut_parser, run_ut_command - from msprobe.pytorch.parse_tool.cli import parse as cli_parse - from msprobe.pytorch.api_accuracy_checker.run_ut.multi_run_ut import prepare_config, run_parallel_ut - from msprobe.pytorch.api_accuracy_checker.compare.api_precision_compare import _api_precision_compare_parser, \ - _api_precision_compare_command - from msprobe.pytorch.api_accuracy_checker.run_ut.run_overflow_check import _run_overflow_check_parser, \ - _run_overflow_check_command - from msprobe.pytorch.compare.compare_cli import compare_cli - _run_ut_parser(run_ut_cmd_parser) - _run_ut_parser(multi_run_ut_cmd_parser) - _api_precision_compare_parser(api_precision_compare_cmd_parser) - _run_overflow_check_parser(run_overflow_check_cmd_parser) - else: - logger.error("Pytorch does not exit, please install pytorch library") - raise Exception() + if not is_torch_available: + logger.error("PyTorch does not exit, please install PyTorch library") + raise Exception("PyTorch does not exit, please install PyTorch library") if sys.argv[3] == "run_ut": run_ut_command(args) elif sys.argv[3] == "parse": @@ -86,8 +86,8 @@ def main(): if is_module_available("mindspore"): from msprobe.mindspore.compare.compare_cli import compare_cli_ms else: - logger.error("Mindspore does not exit, please install mindspore library") - raise Exception() + logger.error("MindSpore does not exit, please install MindSpore library") + raise Exception("MindSpore does not exit, please install MindSpore library") if sys.argv[3] == "compare": compare_cli_ms(args) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py index 923c0044d7..22d0598ed5 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/distributed_compare.py @@ -60,6 +60,6 @@ def compare_distributed(npu_dump_dir, bench_dump_dir, output_path, **kwargs): except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') raise CompareException(error.code) from error - ptComparator=PTComparator() + ptComparator = PTComparator() ptComparator.compare_core(dump_result_param, output_path, suffix=f'_{nr}-{br}', summary_compare=summary_compare, md5_compare=md5_compare, **kwargs) diff --git a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py index a947a12f6d..1cc6301c53 100644 --- a/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py +++ b/debug/accuracy_tools/msprobe/pytorch/compare/pt_compare.py @@ -1,19 +1,17 @@ import json import os.path import torch - from msprobe.core.advisor.advisor import Advisor from msprobe.core.common.utils import check_compare_param, add_time_with_xlsx, CompareException, \ check_file_not_exists, check_configuration_param, task_dumppath_get from msprobe.core.common.file_check import FileChecker, FileOpen, create_directory from msprobe.core.common.const import FileCheckConst - +from msprobe.core.common.log import logger +from msprobe.core.common.exceptions import FileCheckException from msprobe.core.compare.utils import get_un_match_accuracy, get_accuracy from msprobe.core.compare.multiprocessing_compute import ComparisonResult, _save_cmp_result from msprobe.core.compare.highlight import find_compare_result_error_rows, highlight_rows_xlsx from msprobe.core.compare.acc_compare import Comparator -from msprobe.core.common.log import logger -from msprobe.core.common.exceptions import FileCheckException class PTComparator (Comparator): @@ -47,12 +45,12 @@ class PTComparator (Comparator): five_thousand_err_ratio_result.append(five_thousand_err_ratio) cr = ComparisonResult( - cos_result=cos_result, - max_err_result=max_err_result, + cos_result = cos_result, + max_err_result = max_err_result, max_relative_err_result=max_relative_err_result, - err_msgs=err_mess, - one_thousand_err_ratio_result=one_thousand_err_ratio_result, - five_thousand_err_ratio_result=five_thousand_err_ratio_result + err_msgs = err_mess, + one_thousand_err_ratio_result = one_thousand_err_ratio_result, + five_thousand_err_ratio_result = five_thousand_err_ratio_result ) return _save_cmp_result(idx, cr, result_df, lock) @@ -92,7 +90,7 @@ class PTComparator (Comparator): try: last_bench_ops_len = len(bench_ops_queue) op_name_bench = next(ops_bench_iter) - bench_merge_list =self.gen_merge_list(bench_json_data,op_name_bench,stack_json_data,summary_compare,md5_compare) + bench_merge_list = self.gen_merge_list(bench_json_data,op_name_bench,stack_json_data,summary_compare,md5_compare) if bench_merge_list: bench_ops_queue.append(bench_merge_list) except StopIteration: @@ -190,7 +188,7 @@ def compare(input_param, output_path, stack_mode=False, auto_analyze=True, fuzzy except (CompareException, FileCheckException) as error: logger.error('Compare failed. Please check the arguments and do it again!') raise CompareException(error.code) from error - ptComparator=PTComparator() + ptComparator = PTComparator() ptComparator.compare_core(input_param, output_path, stack_mode=stack_mode, auto_analyze=auto_analyze, fuzzy_match=fuzzy_match, summary_compare=summary_compare, md5_compare=md5_compare) -- Gitee From 7dcfbf5b5ac04a350a2b73b3a86858c8e07039a6 Mon Sep 17 00:00:00 2001 From: makai Date: Tue, 13 Aug 2024 15:08:30 +0800 Subject: [PATCH 158/160] =?UTF-8?q?=E5=A2=9E=E5=8A=A0ProcessGroup=E7=B1=BB?= =?UTF-8?q?=E7=9A=84=E5=88=A4=E6=96=AD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../core/data_dump/data_processor/pytorch_processor.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 53de30b8c6..2e16f97853 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -13,6 +13,7 @@ from msprobe.core.data_dump.data_processor.base import BaseDataProcessor, Module ModuleForwardInputsOutputs, TensorStatInfo from msprobe.pytorch.free_benchmark import FreeBenchmarkCheck, UnequalRow from msprobe.pytorch.common.utils import save_pt +import torch.distributed try: @@ -23,7 +24,8 @@ except ImportError: class PytorchDataProcessor(BaseDataProcessor): - pytorch_special_type = (torch.device, torch.dtype, torch.Size, torch.Tensor) + pytorch_special_type = (torch.device, torch.dtype, torch.Size, torch.Tensor, \ + torch.distributed.ProcessGroup) def __init__(self, config, data_writer): super().__init__(config, data_writer) @@ -138,6 +140,8 @@ class PytorchDataProcessor(BaseDataProcessor): return self._analyze_tensor(element, Const.SEP.join(suffix_stack)) if isinstance(element, (bool, int, float, str, slice)): return self._analyze_builtin(element) + if isinstance(element, torch.distributed.ProcessGroup): + return torch.distributed.get_process_group_ranks(element) return {} def analyze_element(self, element): -- Gitee From 74a042fa4cd3cc88e49b2ea929aa033314b5109d Mon Sep 17 00:00:00 2001 From: makai Date: Tue, 13 Aug 2024 15:13:52 +0800 Subject: [PATCH 159/160] =?UTF-8?q?=E5=A2=9E=E5=8A=A0ProcessGroup=E7=B1=BB?= =?UTF-8?q?=E7=9A=84=E5=88=A4=E6=96=AD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../core/data_dump/data_processor/pytorch_processor.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 2e16f97853..9c1b967683 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -5,6 +5,7 @@ from typing import List import numpy as np import torch +import torch.distributed as dist from msprobe.core.common.exceptions import MsprobeException from msprobe.core.common.file_check import path_len_exceeds_limit, change_mode from msprobe.core.common.log import logger @@ -13,7 +14,6 @@ from msprobe.core.data_dump.data_processor.base import BaseDataProcessor, Module ModuleForwardInputsOutputs, TensorStatInfo from msprobe.pytorch.free_benchmark import FreeBenchmarkCheck, UnequalRow from msprobe.pytorch.common.utils import save_pt -import torch.distributed try: @@ -25,7 +25,7 @@ except ImportError: class PytorchDataProcessor(BaseDataProcessor): pytorch_special_type = (torch.device, torch.dtype, torch.Size, torch.Tensor, \ - torch.distributed.ProcessGroup) + dist.ProcessGroup) def __init__(self, config, data_writer): super().__init__(config, data_writer) @@ -140,8 +140,8 @@ class PytorchDataProcessor(BaseDataProcessor): return self._analyze_tensor(element, Const.SEP.join(suffix_stack)) if isinstance(element, (bool, int, float, str, slice)): return self._analyze_builtin(element) - if isinstance(element, torch.distributed.ProcessGroup): - return torch.distributed.get_process_group_ranks(element) + if isinstance(element, dist.ProcessGroup): + return dist.get_process_group_ranks(element) return {} def analyze_element(self, element): -- Gitee From a38364b1af6aa81e8188a988034ee8cc93cf4b8b Mon Sep 17 00:00:00 2001 From: makai Date: Tue, 13 Aug 2024 15:30:04 +0800 Subject: [PATCH 160/160] =?UTF-8?q?=E5=A2=9E=E5=8A=A0ProcessGroup=E7=B1=BB?= =?UTF-8?q?=E7=9A=84=E5=88=A4=E6=96=AD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../core/data_dump/data_processor/pytorch_processor.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py index 9c1b967683..922f3e7006 100644 --- a/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py +++ b/debug/accuracy_tools/msprobe/core/data_dump/data_processor/pytorch_processor.py @@ -123,6 +123,10 @@ class PytorchDataProcessor(BaseDataProcessor): @staticmethod def _analyze_torch_size(arg): return {"type": "torch.Size", "value": list(arg)} + + @staticmethod + def _analyze_process_group_ranks(arg): + return dist.get_process_group_ranks(arg) @classmethod def get_special_types(cls): @@ -141,7 +145,7 @@ class PytorchDataProcessor(BaseDataProcessor): if isinstance(element, (bool, int, float, str, slice)): return self._analyze_builtin(element) if isinstance(element, dist.ProcessGroup): - return dist.get_process_group_ranks(element) + return self._analyze_process_group_ranks(element) return {} def analyze_element(self, element): -- Gitee

+

Communication Retransmission Analysis

+
+ {{ desc }} + + + + + + + {% for item in solutions %} + {% set rowloop = loop %} + {% for key, value in item.items() %} + + + + + {% endfor %} + {% endfor %} +
Suggestions
{{ rowloop.index }}. {{ value.desc }}
+

+ {{ desc }} + + + {% for header in headers %} + + {% endfor %} + + + {% for row in data %} + + {% for element in row %} + + {% endfor %} + + {% endfor %} +
{{ header }}
{{ element|safe }}
+ +
+