#
# Copyright (c) 2020 Intel Corporation
#
# 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.
#

# Optimizations used for TF Serving release builds.
build:release --copt=-mavx
build:release --copt=-msse4.2

# Options used to build with CUDA.
build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain
build:cuda --define=using_cuda=true --define=using_cuda_nvcc=true

# Please note that MKL on MacOS or windows is still not supported.
# If you would like to use a local MKL instead of downloading, please set the
# environment variable "TF_MKL_ROOT" every time before build.
build:mkl --define=build_with_mkl=true --define=enable_mkl=true
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0

# This config option is used to enable MKL-DNN open source library only,
# without depending on MKL binary version.
build:mkl_open_source_only --define=build_with_mkl_dnn_only=true
build:mkl_open_source_only --define=build_with_mkl=true --define=enable_mkl=true
build:mkl_open_source_only --define=tensorflow_mkldnn_contraction_kernel=0

# Processor native optimizations (depends on build host capabilities).
build:nativeopt --copt=-march=native
build:nativeopt --host_copt=-march=native
build:nativeopt --copt=-O3

# those below are required for XNNPACK build with gcc <12 (ubuntu 22 default is 11)
build --define=xnn_enable_avxvnniint8=false
build --define=xnn_enable_avx512fp16=false
build --define=xnn_enable_avx512amx=false
build --define xnn_enable_avxvnni=false
# TODO to check
build --define=no_cuda=1

build --spawn_strategy=standalone
build --genrule_strategy=standalone
build --define=grpc_no_ares=true

# Default select settings
build --define=MEDIAPIPE_DISABLE_GPU=1
build --define=MEDIAPIPE_DISABLE=0
build --define=CLOUD_DISABLE=0
build --define=PYTHON_DISABLE=0

# Sets the default Apple platform to macOS.
build --apple_platform_type=macos

build -c opt
# fixing debug builds with ignore warnings
build --copt=-O2
build --copt=-DGRPC_BAZEL_BUILD
# Adding "--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0" creates parity with TF
# compilation options. It also addresses memory use due to
# copy-on-write semantics of std::strings of the older ABI.
build --cxxopt=-D_GLIBCXX_USE_CXX11_ABI=1

build --enable_platform_specific_config
build --experimental_repo_remote_exec
build --experimental_cc_shared_library
build --check_visibility=true
# Disable leaking LD_LIBRARY_PATH & PATH into build resulting in cache misses
# and frequent rebuilds
build --incompatible_strict_action_env
build --cxxopt=-DOVMS_DUMP_TO_FILE=0
build --remote_upload_local_results=true

build:avx_win --copt=/arch=AVX
build:avx2_win --copt=/arch=AVX2

# Linux settings #######################################################################################################
# LLVM, MLIR and TF require C++14, we use C++17 in project
build:linux --cxxopt=-std=c++17
build:linux --host_cxxopt=-std=c++17

# For Tensorflow building only
build:linux --action_env PYTHON_BIN_PATH="/usr/bin/python3"
build:linux --define PYTHON_BIN_PATH=/usr/bin/python3

build:linux --define=USE_DROGON=1  # 0=legacy net_http, available only on linux
# Security options ######################################################################################################
# TODO: Add equivalent windows flag
build:linux --cxxopt=-fno-strict-overflow
build:linux --cxxopt=-fno-delete-null-pointer-checks
build:linux --cxxopt=-fwrapv
build:linux --cxxopt=-fstack-protector
build:linux --cxxopt=-fstack-clash-protection
build:linux --cxxopt=-Wformat
build:linux --cxxopt=-Wformat-security
build:linux --cxxopt=-Werror=format-security

# TODO: Add equivalent windows flag
build:linux --force_pic

build:mp_on_py_on --config=linux
build:mp_on_py_on --define=MEDIAPIPE_DISABLE=0
build:mp_on_py_on --define=PYTHON_DISABLE=0
build:mp_on_py_on --disk_cache=/root/.cache/bazel_mp_on_py_on
build:mp_on_py_off --config=linux
build:mp_on_py_off --define=MEDIAPIPE_DISABLE=0
build:mp_on_py_off --define=PYTHON_DISABLE=1
build:mp_on_py_off --disk_cache=/root/.cache/bazel_mp_on_py_off
build:mp_off_py_off --config=linux
build:mp_off_py_off --define=MEDIAPIPE_DISABLE=1
build:mp_off_py_off --define=PYTHON_DISABLE=1
build:mp_off_py_off --disk_cache=/root/.cache/bazel_mp_off_py_off
#build --remote_header=x-build-event-log=DEBUG

# Coverity needs remote and disk cache disabled
build:coverity --config=mp_on_py_on
build:coverity --disk_cache=

# Windows settings ######################################################################################################
# Configure short or long logs
build:short_logs --output_filter=DONT_MATCH_ANYTHING
build:verbose_logs --output_filter=
# Options to build TensorFlow 1.x or 2.x.
build:v1 --define=tf_api_version=1 --action_env=TF2_BEHAVIOR=0
build:v2 --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

build:windows --host_cxxopt=/std:c++17
build:windows --cxxopt=/std:c++17
# TODO Windows: may impact python nodes execution
build:windows --noenable_bzlmod

# TF bazelrc settings
# TensorFlow Bazel configuration file.
build:windows --define=use_fast_cpp_protos=true
build:windows --define=allow_oversize_protos=true

# Make Bazel print out all options from rc files.
build:windows --announce_rc

build:windows --noincompatible_remove_legacy_whole_archive
build:windows --features=-force_no_whole_archive

# Enable XLA support by default.
build:windows --define=with_xla_support=true

# TODO(mihaimaruseac): Document this option or remove if no longer needed
build:windows --config=short_logs

# TODO(mihaimaruseac): Document this option or remove if no longer needed
build:windows --config=v2

# Disable AWS/HDFS support by default
build:windows --define=no_aws_support=true
build:windows --define=no_hdfs_support=true

# cc_shared_library ensures no library is linked statically more than once.
build:windows --experimental_link_static_libraries_once=false

# Prevent regressions on those two incompatible changes
# TODO: remove those flags when they are flipped in the default Bazel version TF uses.
build:windows --incompatible_enforce_config_setting_visibility

# Config to use a mostly-static build and disable modular op registration
# support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python).
# By default, TensorFlow will build with a dependence on
# //tensorflow:libtensorflow_framework.so.
build:monolithic --define framework_shared_object=false
build:monolithic --define tsl_protobuf_header_only=false
# On windows, we still link everything into a single DLL - required by TF
build:windows --config=monolithic
# Warnings are enabled in common_settings
build:windows --copt=/W0 
build:windows --host_copt=/W0
build:windows --copt=/external:anglebrackets
build:windows --host_copt=/external:anglebrackets
build:windows --copt=/external:W0
build:windows --host_copt=/external:W0

# On Windows, `__cplusplus` is wrongly defined without this switch
# See https://devblogs.microsoft.com/cppblog/msvc-now-correctly-reports-__cplusplus/
build:windows --copt=/Zc:__cplusplus
build:windows --host_copt=/Zc:__cplusplus

# Tensorflow uses M_* math constants that only get defined by MSVC headers if
# _USE_MATH_DEFINES is defined.
build:windows --copt=/D_USE_MATH_DEFINES
build:windows --host_copt=/D_USE_MATH_DEFINES

# Windows has a relatively short command line limit, which TF has begun to hit.
# See https://docs.bazel.build/versions/main/windows.html
build:windows --features=compiler_param_file
build:windows --features=archive_param_file

# Speed Windows compile times. Available in VS 16.4 (we are on 16.11). See
# https://groups.google.com/a/tensorflow.org/d/topic/build/SsW98Eo7l3o/discussion
build:windows --copt=/d2ReducedOptimizeHugeFunctions
build:windows --host_copt=/d2ReducedOptimizeHugeFunctions

# Make sure to include as little of windows.h as possible
build:windows --copt=-DWIN32_LEAN_AND_MEAN
build:windows --host_copt=-DWIN32_LEAN_AND_MEAN
build:windows --copt=-DNOGDI
build:windows --host_copt=-DNOGDI

# MSVC (Windows): Standards-conformant preprocessor mode
# See https://docs.microsoft.com/en-us/cpp/preprocessor/preprocessor-experimental-overview
build:windows --copt=/Zc:preprocessor
build:windows --host_copt=/Zc:preprocessor

build:windows --linkopt=/OPT:REF
build:windows --host_linkopt=/OPT:REF
build:windows --linkopt=/OPT:ICF
build:windows --host_linkopt=/OPT:ICF

build:windows --action_env PYTHON_BIN_PATH="C:/opt/Python312/python.exe"
build:windows --action_env PYTHON_LIB_PATH="C:/opt/Python312/lib/site-packages"
build:windows --repo_env PYTHON_BIN_PATH=C:/opt/Python312/python.exe
build:windows --python_path="C:/opt/Python312/python.exe"
build:windows:opt --copt=/arch:AVX
build:windows:opt --host_copt=/arch:AVX
build:windows --define=override_eigen_strong_inline=true

# Disable TFRT integration for now unless --config=tfrt is specified.
build:windows --deleted_packages=tensorflow/core/tfrt/stubs,tensorflow/compiler/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/ir,tensorflow/compiler/mlir/tfrt/ir/mlrt,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/mlrt,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/jit,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_tfrt,tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt,tensorflow/compiler/mlir/tfrt/tests/tf_to_corert,tensorflow/compiler/mlir/tfrt/tests/tf_to_tfrt_data,tensorflow/compiler/mlir/tfrt/tests/saved_model,tensorflow/compiler/mlir/tfrt/transforms/lhlo_gpu_to_tfrt_gpu,tensorflow/compiler/mlir/tfrt/transforms/mlrt,tensorflow/core/runtime_fallback,tensorflow/core/runtime_fallback/conversion,tensorflow/core/runtime_fallback/kernel,tensorflow/core/runtime_fallback/opdefs,tensorflow/core/runtime_fallback/runtime,tensorflow/core/runtime_fallback/util,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug,tensorflow/core/tfrt/saved_model/python,tensorflow/core/tfrt/graph_executor/python

# Windows build ssl headers for GRPC workaround
build:windows --override_repository="boringssl=C:\\opt\\boringSSL-SwiftPM"

#Add this parameter for windows local builds, its added on jenkins via windows_build.bat. Must be short path on C:\ for mediapipe to compile
#startup --output_user_root=C:/b_tmp

# Windows config default flags
build:windows --define=CLOUD_DISABLE=1
build:windows --define=PYTHON_DISABLE=1
build:windows --define=MEDIAPIPE_DISABLE=0

# Change this path alongside WORKSPACE:"windows_openvino" path for model_api cmake compilation.
build:windows --action_env OpenVINO_DIR="c:/opt/openvino/runtime/cmake"
build:windows --action_env OpenCV_DIR="c:/opt/opencv"

build:windows --repo_env=HERMETIC_PYTHON_VERSION=3.12
build:windows --define=USE_DROGON=1
build:windows --define=GENAI_USE_BINARY=1

build:win_mp_on_py_on --config=windows
build:win_mp_on_py_on --define=MEDIAPIPE_DISABLE=0
build:win_mp_on_py_on --define=PYTHON_DISABLE=0
build:win_mp_on_py_off --config=windows
build:win_mp_on_py_off --define=MEDIAPIPE_DISABLE=0
build:win_mp_on_py_off --define=PYTHON_DISABLE=1

# Tests settings ############################################################################################################################
# sometimes failed logs exceed this threshold
test --experimental_ui_max_stdouterr_bytes=304857600

# envs below are required to succesfully run binaries in bazel as bazel is very strict in sandboxing
test:linux --test_env LD_LIBRARY_PATH=/opt/opencv/lib/:/opt/intel/openvino/runtime/lib/intel64/:/opt/intel/openvino/runtime/3rdparty/tbb/lib/
# genai hardcodes path during build time so without this so is not visible
test:linux --test_env OPENVINO_TOKENIZERS_PATH_GENAI=/opt/intel/openvino/runtime/lib/intel64/libopenvino_tokenizers.so
test:linux --test_env PYTHONPATH=/opt/intel/openvino/python:/ovms/bazel-bin/src/python/binding
test:linux --test_env no_proxy=localhost

# Bazelrc imports ############################################################################################################################
# file below should contain sth like
# build --remote_cache=http://IP:PORT
try-import %workspace%/.user.bazelrc