From 97c82f797996d27111a834e062b625ac1ab0af63 Mon Sep 17 00:00:00 2001 From: 13611516375 Date: Wed, 21 Aug 2024 03:19:15 +0000 Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=C3=A5=C2=8AaclrtLaunchKernel=E6=A0=B7?= =?UTF-8?q?=E4=BE=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../AddKernelInvocationAcl/CMakeLists.txt | 49 +++++ .../AddKernelInvocationAcl/README.md | 67 ++++++ .../AddKernelInvocationAcl/add_custom.cpp | 83 +++++++ .../cmake/cpu_lib.cmake | 9 + .../cmake/npu_lib.cmake | 14 ++ .../AddKernelInvocationAcl/data_utils.h | 203 ++++++++++++++++++ .../AddKernelInvocationAcl/main.cpp | 122 +++++++++++ .../AddKernelInvocationAcl/run.sh | 126 +++++++++++ .../scripts/gen_data.py | 26 +++ .../scripts/verify_result.py | 53 +++++ 10 files changed, 752 insertions(+) create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/CMakeLists.txt create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/README.md create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/add_custom.cpp create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/cpu_lib.cmake create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/npu_lib.cmake create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/data_utils.h create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/main.cpp create mode 100755 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/run.sh create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/gen_data.py create mode 100644 operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/verify_result.py diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/CMakeLists.txt b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/CMakeLists.txt new file mode 100644 index 000000000..7793c5883 --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/CMakeLists.txt @@ -0,0 +1,49 @@ +cmake_minimum_required(VERSION 3.16) +project(Ascend_c) + +set(RUN_MODE "npu" CACHE STRING "cpu/sim/npu") +set(SOC_VERSION "Ascend310P3" CACHE STRING "system on chip type") +set(ASCEND_CANN_PACKAGE_PATH "/usr/local/Ascend/ascend-toolkit/latest" + CACHE STRING "ASCEND CANN package installation directory" +) +if(NOT CMAKE_BUILD_TYPE) + set(CMAKE_BUILD_TYPE "Debug" CACHE STRING "Build type Release/Debug (default Debug)" FORCE) +endif() +if(CMAKE_INSTALL_PREFIX STREQUAL /usr/local) + set(CMAKE_INSTALL_PREFIX "${CMAKE_CURRENT_LIST_DIR}/out" CACHE STRING "path for install()" FORCE) +endif() + +file(GLOB KERNEL_FILES ${CMAKE_CURRENT_SOURCE_DIR}/add_custom.cpp) + +if("${RUN_MODE}" STREQUAL "cpu") + include(cmake/cpu_lib.cmake) +elseif("${RUN_MODE}" STREQUAL "sim" OR "${RUN_MODE}" STREQUAL "npu") + include(cmake/npu_lib.cmake) +else() + message("invalid RUN_MODE: ${RUN_MODE}") +endif() +add_executable(ascendc_kernels_bbit ${CMAKE_CURRENT_SOURCE_DIR}/main.cpp) + +target_compile_options(ascendc_kernels_bbit PRIVATE + $:-g>> + -O2 -std=c++17 -D_GLIBCXX_USE_CXX11_ABI=0 -Wall -Werror +) +set(RUN_FATBIN "ON" CACHE STRING "ON/OFF") +target_link_libraries(ascendc_kernels_bbit PRIVATE + $,$>:host_intf_pub>> + $:tikicpulib::${SOC_VERSION}>> + $,$>:ascendcl>> + $:c_sec>> + $<$:ascendc_kernels_${RUN_MODE}> + tiling_api + register + platform + ascendalog + dl +) + +install(TARGETS ascendc_kernels_bbit + LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR} + ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR} + RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR} +) diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/README.md b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/README.md new file mode 100644 index 000000000..be4e77d2e --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/README.md @@ -0,0 +1,67 @@ +## 目录结构介绍 +``` +├── LaunchKernel +│ ├── cmake // 编译工程文件 +│ ├── scripts +│ │ ├── gen_data.py // 输入数据和真值数据生成脚本 +│ │ └── verify_result.py // 验证输出数据和真值数据是否一致的验证脚本 +│ ├── add_custom.cpp // 算子kernel实现 +│ ├── CMakeLists.txt // 编译工程文件 +│ ├── data_utils.h // 数据读入写出函数 +│ ├── main.cpp // 主函数，调用算子的应用程序，含CPU域及NPU域调用 +│ └── run.sh // 编译运行算子的脚本 +``` +## 代码实现介绍 +- kernel实现 + Add算子的数学表达式为： + ``` + z = x + y + ``` + 计算逻辑是：Ascend C提供的矢量计算接口的操作元素都为LocalTensor，输入数据需要先搬运进片上存储，然后使用计算接口完成两个输入参数相加，得到最终结果，再搬出到外部存储上。 + + Add算子的实现流程分为3个基本任务：CopyIn，Compute，CopyOut。CopyIn任务负责将Global Memory上的输入Tensor xGm和yGm搬运到Local Memory，分别存储在xLocal、yLocal，Compute任务负责对xLocal、yLocal执行加法操作，计算结果存储在zLocal中，CopyOut任务负责将输出数据从zLocal搬运至Global Memory上的输出Tensor zGm中。具体请参考[add_custom.cpp](./add_custom.cpp)。 +- tiling实现 + TilingData参数设计，TilingData参数本质上是和并行数据切分相关的参数，本示例算子使用了2个tiling参数：totalLength、tileNum。totalLength是指需要计算的数据量大小，tileNum是指每个核上总计算数据分块个数。比如，totalLength这个参数传递到kernel侧后，可以通过除以参与计算的核数，得到每个核上的计算量，这样就完成了多核数据的切分。tiling实现代码中通过上下文获取输入输出的shape信息，并对应设置TilingData。 + +- 调用实现 + + NPU侧运行验证主要通过使用加载Kernel侧静态库，然后使用aclrtLaunchKernel调用对应Kernel实现。 + + +## 运行样例算子 + - 打开样例目录 + + ```bash + cd ${git_clone_path}/LaunchKernel/ + ``` + - 配置环境变量 + + 请根据当前环境上CANN开发套件包的[安装方式](https://hiascend.com/document/redirect/CannCommunityInstSoftware)，选择对应配置环境变量的命令。 + - 默认路径，root用户安装CANN软件包 + ```bash + export ASCEND_INSTALL_PATH=/usr/local/Ascend/ascend-toolkit/latest + ``` + - 默认路径，非root用户安装CANN软件包 + ```bash + export ASCEND_INSTALL_PATH=$HOME/Ascend/ascend-toolkit/latest + ``` + - 指定路径install_path，安装CANN软件包 + ```bash + export ASCEND_INSTALL_PATH=${install_path}/ascend-toolkit/latest + ``` + + + - 样例执行 + + ```bash + bash run.sh -r npu -v [SOC_VERSION] + ``` + - RUN_MODE：编译方式，可选择CPU调试，NPU仿真，NPU上板。支持参数为[cpu / sim / npu]，默认值为npu。 + - SOC_VERSION：昇腾AI处理器型号，如果无法确定具体的[SOC_VERSION]，则在安装昇腾AI处理器的服务器执行npu-smi info命令进行查询，在查询到的“Name”前增加Ascend信息，例如“Name”对应取值为xxxyy，实际配置的[SOC_VERSION]值为Ascendxxxyy。支持以下参数取值（xxx请替换为具体取值）： + - Atlas A2训练系列产品/Atlas 800I A2推理产品参数值：AscendxxxB1、AscendxxxB2、AscendxxxB3、AscendxxxB4 + + 示例如下。 + ```bash + bash run.sh -r npu -v AscendxxxB1 + ``` +# \ No newline at end of file diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/add_custom.cpp b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/add_custom.cpp new file mode 100644 index 000000000..d11342f35 --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/add_custom.cpp @@ -0,0 +1,83 @@ +/** + * @file add_custom.cpp + * + * Copyright (C) 2024. Huawei Technologies Co., Ltd. All rights reserved. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. + */ +#include "kernel_operator.h" +using namespace AscendC; + +constexpr int32_t TOTAL_LENGTH = 8 * 2048; // total length of data +constexpr int32_t USE_CORE_NUM = 8; // num of core used +constexpr int32_t BLOCK_LENGTH = TOTAL_LENGTH / USE_CORE_NUM; // length computed of each core +constexpr int32_t TILE_NUM = 8; // split data into 8 tiles for each core +constexpr int32_t BUFFER_NUM = 2; // tensor num for each queue +constexpr int32_t TILE_LENGTH = BLOCK_LENGTH / TILE_NUM / BUFFER_NUM; // seperate to 2 parts, due to double buffer + +class KernelAdd { +public: + __aicore__ inline KernelAdd() {} + __aicore__ inline void Init(GM_ADDR x, GM_ADDR y, GM_ADDR z) + { + xGm.SetGlobalBuffer((__gm__ half *)x + BLOCK_LENGTH * GetBlockIdx(), BLOCK_LENGTH); + yGm.SetGlobalBuffer((__gm__ half *)y + BLOCK_LENGTH * GetBlockIdx(), BLOCK_LENGTH); + zGm.SetGlobalBuffer((__gm__ half *)z + BLOCK_LENGTH * GetBlockIdx(), BLOCK_LENGTH); + pipe.InitBuffer(inQueueX, BUFFER_NUM, TILE_LENGTH * sizeof(half)); + pipe.InitBuffer(inQueueY, BUFFER_NUM, TILE_LENGTH * sizeof(half)); + pipe.InitBuffer(outQueueZ, BUFFER_NUM, TILE_LENGTH * sizeof(half)); + } + __aicore__ inline void Process() + { + int32_t loopCount = TILE_NUM * BUFFER_NUM; + for (int32_t i = 0; i < loopCount; i++) { + CopyIn(i); + Compute(i); + CopyOut(i); + } + } + +private: + __aicore__ inline void CopyIn(int32_t progress) + { + LocalTensor xLocal = inQueueX.AllocTensor(); + LocalTensor yLocal = inQueueY.AllocTensor(); + DataCopy(xLocal, xGm[progress * TILE_LENGTH], TILE_LENGTH); + DataCopy(yLocal, yGm[progress * TILE_LENGTH], TILE_LENGTH); + inQueueX.EnQue(xLocal); + inQueueY.EnQue(yLocal); + } + __aicore__ inline void Compute(int32_t progress) + { + LocalTensor xLocal = inQueueX.DeQue(); + LocalTensor yLocal = inQueueY.DeQue(); + LocalTensor zLocal = outQueueZ.AllocTensor(); + Add(zLocal, xLocal, yLocal, TILE_LENGTH); + outQueueZ.EnQue(zLocal); + inQueueX.FreeTensor(xLocal); + inQueueY.FreeTensor(yLocal); + } + __aicore__ inline void CopyOut(int32_t progress) + { + LocalTensor zLocal = outQueueZ.DeQue(); + DataCopy(zGm[progress * TILE_LENGTH], zLocal, TILE_LENGTH); + outQueueZ.FreeTensor(zLocal); + } + +private: + TPipe pipe; + TQue inQueueX, inQueueY; + TQue outQueueZ; + GlobalTensor xGm; + GlobalTensor yGm; + GlobalTensor zGm; +}; + +extern "C" __global__ __aicore__ void add_custom(GM_ADDR x, GM_ADDR y, GM_ADDR z) +{ + KernelAdd op; + op.Init(x, y, z); + op.Process(); +} diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/cpu_lib.cmake b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/cpu_lib.cmake new file mode 100644 index 000000000..5362c8b5a --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/cpu_lib.cmake @@ -0,0 +1,9 @@ +if(NOT DEFINED ENV{CMAKE_PREFIX_PATH}) + set(CMAKE_PREFIX_PATH ${ASCEND_CANN_PACKAGE_PATH}/tools/tikicpulib/lib/cmake) +endif() +find_package(tikicpulib REQUIRED) + +add_library(ascendc_kernels_${RUN_MODE} SHARED ${KERNEL_FILES}) +target_link_libraries(ascendc_kernels_${RUN_MODE} PUBLIC tikicpulib::${SOC_VERSION}) +target_compile_options(ascendc_kernels_${RUN_MODE} PRIVATE -g -O0 -std=c++17) +install(TARGETS ascendc_kernels_${RUN_MODE} DESTINATION ${CMAKE_INSTALL_LIBDIR}) diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/npu_lib.cmake b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/npu_lib.cmake new file mode 100644 index 000000000..8ee5ab57d --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/cmake/npu_lib.cmake @@ -0,0 +1,14 @@ +if(EXISTS ${ASCEND_CANN_PACKAGE_PATH}/compiler/tikcpp/ascendc_kernel_cmake) + set(ASCENDC_CMAKE_DIR ${ASCEND_CANN_PACKAGE_PATH}/compiler/tikcpp/ascendc_kernel_cmake) +elseif(EXISTS ${ASCEND_CANN_PACKAGE_PATH}/tools/tikcpp/ascendc_kernel_cmake) + set(ASCENDC_CMAKE_DIR ${ASCEND_CANN_PACKAGE_PATH}/tools/tikcpp/ascendc_kernel_cmake) +else() + message(FATAL_ERROR "ascendc_kernel_cmake does not exist ,please check whether the cann package is installed") +endif() +include(${ASCENDC_CMAKE_DIR}/ascendc.cmake) + +# ascendc_library(ascendc_kernels_${RUN_MODE} SHARED ${KERNEL_FILES}) + +ascendc_fatbin_library(ascendc_kernels_${RUN_MODE} + ${KERNEL_FILES} +) diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/data_utils.h b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/data_utils.h new file mode 100644 index 000000000..09d906371 --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/data_utils.h @@ -0,0 +1,203 @@ +/** + * @file data_utils.h + * + * Copyright (C) 2024. Huawei Technologies Co., Ltd. All rights reserved. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. + */ +#ifndef DATA_UTILS_H +#define DATA_UTILS_H +#include +#include +#include + +#include +#include +#include +#include +#include +#include +#include + +#include "acl/acl.h" + +typedef enum { + DT_UNDEFINED = -1, + FLOAT = 0, + HALF = 1, + INT8_T = 2, + INT32_T = 3, + UINT8_T = 4, + INT16_T = 6, + UINT16_T = 7, + UINT32_T = 8, + INT64_T = 9, + UINT64_T = 10, + DOUBLE = 11, + BOOL = 12, + STRING = 13, + COMPLEX64 = 16, + COMPLEX128 = 17, + BF16 = 27 +} printDataType; + +#define INFO_LOG(fmt, args...) fprintf(stdout, "[INFO] " fmt "\n", ##args) +#define WARN_LOG(fmt, args...) fprintf(stdout, "[WARN] " fmt "\n", ##args) +#define ERROR_LOG(fmt, args...) fprintf(stdout, "[ERROR] " fmt "\n", ##args) +#define CHECK_ACL(x) \ + do { \ + aclError __ret = x; \ + if (__ret != ACL_ERROR_NONE) { \ + std::cerr << __FILE__ << ":" << __LINE__ << " aclError:" << __ret << std::endl; \ + } \ + } while (0); + +/** + * @brief Read data from file + * @param [in] filePath: file path + * @param [out] fileSize: file size + * @return read result + */ +bool ReadFile(const std::string &filePath, size_t &fileSize, void *buffer, size_t bufferSize) +{ + struct stat sBuf; + int fileStatus = stat(filePath.data(), &sBuf); + if (fileStatus == -1) { + ERROR_LOG("failed to get file"); + return false; + } + if (S_ISREG(sBuf.st_mode) == 0) { + ERROR_LOG("%s is not a file, please enter a file", filePath.c_str()); + return false; + } + + std::ifstream file; + file.open(filePath, std::ios::binary); + if (!file.is_open()) { + ERROR_LOG("Open file failed. path = %s", filePath.c_str()); + return false; + } + + std::filebuf *buf = file.rdbuf(); + size_t size = buf->pubseekoff(0, std::ios::end, std::ios::in); + if (size == 0) { + ERROR_LOG("file size is 0"); + file.close(); + return false; + } + if (size > bufferSize) { + ERROR_LOG("file size is larger than buffer size"); + file.close(); + return false; + } + buf->pubseekpos(0, std::ios::in); + buf->sgetn(static_cast(buffer), size); + fileSize = size; + file.close(); + return true; +} + +/** + * @brief Write data to file + * @param [in] filePath: file path + * @param [in] buffer: data to write to file + * @param [in] size: size to write + * @return write result + */ +bool WriteFile(const std::string &filePath, const void *buffer, size_t size) +{ + if (buffer == nullptr) { + ERROR_LOG("Write file failed. buffer is nullptr"); + return false; + } + + int fd = open(filePath.c_str(), O_RDWR | O_CREAT | O_TRUNC, S_IRUSR | S_IWRITE); + if (fd < 0) { + ERROR_LOG("Open file failed. path = %s", filePath.c_str()); + return false; + } + + size_t writeSize = write(fd, buffer, size); + (void)close(fd); + if (writeSize != size) { + ERROR_LOG("Write file Failed."); + return false; + } + + return true; +} + +template void DoPrintData(const T *data, size_t count, size_t elementsPerRow) +{ + assert(elementsPerRow != 0); + for (size_t i = 0; i < count; ++i) { + std::cout << std::setw(10) << data[i]; + if (i % elementsPerRow == elementsPerRow - 1) { + std::cout << std::endl; + } + } +} + +void DoPrintHalfData(const aclFloat16 *data, size_t count, size_t elementsPerRow) +{ + assert(elementsPerRow != 0); + for (size_t i = 0; i < count; ++i) { + std::cout << std::setw(10) << std::setprecision(6) << aclFloat16ToFloat(data[i]); + if (i % elementsPerRow == elementsPerRow - 1) { + std::cout << std::endl; + } + } +} + +void PrintData(const void *data, size_t count, printDataType dataType, size_t elementsPerRow = 16) +{ + if (data == nullptr) { + ERROR_LOG("Print data failed. data is nullptr"); + return; + } + + switch (dataType) { + case BOOL: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case INT8_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case UINT8_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case INT16_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case UINT16_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case INT32_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case UINT32_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case INT64_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case UINT64_T: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case HALF: + DoPrintHalfData(reinterpret_cast(data), count, elementsPerRow); + break; + case FLOAT: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + case DOUBLE: + DoPrintData(reinterpret_cast(data), count, elementsPerRow); + break; + default: + ERROR_LOG("Unsupported type: %d", dataType); + } + std::cout << std::endl; +} +#endif // DATA_UTILS_H diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/main.cpp b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/main.cpp new file mode 100644 index 000000000..0b8fc389b --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/main.cpp @@ -0,0 +1,122 @@ +/** + * @file main.cpp + * + * Copyright (C) 2024. Huawei Technologies Co., Ltd. All rights reserved. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. + */ + +#include "data_utils.h" +#include "acl/acl.h" + +typedef void *rtBinHandle; +typedef void *rtFuncHandle; +typedef void *rtLaunchArgsHandle; +using char_t = char; + +void * GetDevArgsAddr(size_t argSize, void *x, void *y, void *z){ + uintptr_t *hostAddr = nullptr; + aclrtMallocHost((void **)&hostAddr,argSize); + uint32_t i = 0; + hostAddr[i++] = (uintptr_t)x; + hostAddr[i++] = (uintptr_t)y; + hostAddr[i++] = (uintptr_t)z; + void *tilOut = nullptr; + aclrtMalloc(&tilOut, sizeof(void *),ACL_MEM_MALLOC_HUGE_FIRST); + hostAddr[i++] = (uintptr_t)tilOut; + + void * argAddr = nullptr; + aclrtMalloc((void **)&argAddr, argSize, ACL_MEM_MALLOC_HUGE_FIRST); + aclrtMemcpy(argAddr, argSize, hostAddr, argSize, ACL_MEMCPY_HOST_TO_DEVICE); + aclrtFreeHost(hostAddr); + return argAddr; + +} + +int32_t main(int32_t argc, char *argv[]) +{ + uint32_t blockDim = 8; + + size_t inputByteSize = 8 * 2048 * sizeof(uint16_t); + size_t outputByteSize = 8 * 2048 * sizeof(uint16_t); + + + CHECK_ACL(aclInit(nullptr)); + int32_t deviceId = 0; + CHECK_ACL(aclrtSetDevice(deviceId)); + aclrtStream stream = nullptr; + CHECK_ACL(aclrtCreateStream(&stream)); + + + uint8_t *xHost, *yHost, *zHost; + uint8_t *xDevice, *yDevice, *zDevice; + + + CHECK_ACL(aclrtMallocHost((void **)(&xHost), inputByteSize)); + CHECK_ACL(aclrtMallocHost((void **)(&yHost), inputByteSize)); + CHECK_ACL(aclrtMallocHost((void **)(&zHost), outputByteSize)); + CHECK_ACL(aclrtMalloc((void **)&xDevice, inputByteSize, ACL_MEM_MALLOC_HUGE_FIRST)); + CHECK_ACL(aclrtMalloc((void **)&yDevice, inputByteSize, ACL_MEM_MALLOC_HUGE_FIRST)); + CHECK_ACL(aclrtMalloc((void **)&zDevice, outputByteSize, ACL_MEM_MALLOC_HUGE_FIRST)); + + ReadFile("./input/input_x.bin", inputByteSize, xHost, inputByteSize); + ReadFile("./input/input_y.bin", inputByteSize, yHost, inputByteSize); + + CHECK_ACL(aclrtMemcpy(xDevice, inputByteSize, xHost, inputByteSize, ACL_MEMCPY_HOST_TO_DEVICE)); + CHECK_ACL(aclrtMemcpy(yDevice, inputByteSize, yHost, inputByteSize, ACL_MEMCPY_HOST_TO_DEVICE)); + + // ACLRT_LAUNCH_KERNEL(add_custom)(blockDim, stream, xDevice, yDevice, zDevice, tiling); + aclrtBinHandle binHandle; + aclrtFuncHandle funAdd; + void *devAddr_add_custom = nullptr; + + std::string filePath = "./out/fatbin/ascendc_kernels_npu/ascendc_kernels_npu.o"; + FILE *file = nullptr; + file = fopen(filePath.c_str(),"rb"); + if (file == nullptr) + { + CHECK_ACL(ACL_ERROR_RT_PARAM_INVALID); + } + fseek(file, 0 , SEEK_END); + uint32_t fileSize = ftell(file); + + char buf[fileSize] = {0}; + fseek(file,0 ,SEEK_SET); + fread(buf,sizeof(char),fileSize,file); + fclose(file); + + aclrtBinary aclBin = aclrtCreateBinary(buf, fileSize); + if (aclBin == nullptr) + { + printf("aclrtCreateBinary failed"); + return -1; + } + + aclrtBinaryLoad(aclBin,&binHandle); + aclrtDestroyBinary(aclBin); + aclrtBinaryGetFunction(binHandle,"add_custom",&funAdd); + size_t argsSize = (3+1) * sizeof(uintptr_t); + devAddr_add_custom = GetDevArgsAddr(argsSize, xDevice, yDevice, zDevice); + aclrtLaunchKernel(funAdd,blockDim,devAddr_add_custom,argsSize, stream); + + CHECK_ACL(aclrtSynchronizeStream(stream)); + + CHECK_ACL(aclrtMemcpy(zHost, outputByteSize, zDevice, outputByteSize, ACL_MEMCPY_DEVICE_TO_HOST)); + WriteFile("./output/output_z.bin", zHost, outputByteSize); + + CHECK_ACL(aclrtFree(xDevice)); + CHECK_ACL(aclrtFree(yDevice)); + CHECK_ACL(aclrtFree(zDevice)); + CHECK_ACL(aclrtFreeHost(xHost)); + CHECK_ACL(aclrtFreeHost(yHost)); + CHECK_ACL(aclrtFreeHost(zHost)); + + + CHECK_ACL(aclrtDestroyStream(stream)); + CHECK_ACL(aclrtResetDevice(deviceId)); + CHECK_ACL(aclFinalize()); + + return 0; +} diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/run.sh b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/run.sh new file mode 100755 index 000000000..e7183af1e --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/run.sh @@ -0,0 +1,126 @@ +#!/bin/bash +CURRENT_DIR=$( + cd $(dirname ${BASH_SOURCE:-$0}) + pwd +) +cd $CURRENT_DIR + +BUILD_TYPE="Debug" +INSTALL_PREFIX="${CURRENT_DIR}/out" + +SHORT=r:,v:,i:,b:,p:, +LONG=run-mode:,soc-version:,install-path:,build-type:,install-prefix:, +OPTS=$(getopt -a --options $SHORT --longoptions $LONG -- "$@") +eval set -- "$OPTS" + +while :; do + case "$1" in + -r | --run-mode) + RUN_MODE="$2" + shift 2 + ;; + -v | --soc-version) + SOC_VERSION="$2" + shift 2 + ;; + -i | --install-path) + ASCEND_INSTALL_PATH="$2" + shift 2 + ;; + -b | --build-type) + BUILD_TYPE="$2" + shift 2 + ;; + -p | --install-prefix) + INSTALL_PREFIX="$2" + shift 2 + ;; + --) + shift + break + ;; + *) + echo "[ERROR] Unexpected option: $1" + break + ;; + esac +done + +RUN_MODE_LIST="cpu sim npu" +if [[ " $RUN_MODE_LIST " != *" $RUN_MODE "* ]]; then + echo "ERROR: RUN_MODE error, This sample only support specify cpu, sim or npu!" + exit -1 +fi + +VERSION_LIST="Ascend910B1 Ascend910B2 Ascend910B3 Ascend910B4" +if [[ " $VERSION_LIST " != *" $SOC_VERSION "* ]]; then + echo "ERROR: SOC_VERSION should be in [$VERSION_LIST]" + exit -1 +fi + +if [ -n "$ASCEND_INSTALL_PATH" ]; then + _ASCEND_INSTALL_PATH=$ASCEND_INSTALL_PATH +elif [ -n "$ASCEND_HOME_PATH" ]; then + _ASCEND_INSTALL_PATH=$ASCEND_HOME_PATH +else + if [ -d "$HOME/Ascend/ascend-toolkit/latest" ]; then + _ASCEND_INSTALL_PATH=$HOME/Ascend/ascend-toolkit/latest + else + _ASCEND_INSTALL_PATH=/usr/local/Ascend/ascend-toolkit/latest + fi +fi + +export ASCEND_TOOLKIT_HOME=${_ASCEND_INSTALL_PATH} +export ASCEND_HOME_PATH=${_ASCEND_INSTALL_PATH} +if [ "${RUN_MODE}" = "npu" ]; then + source ${_ASCEND_INSTALL_PATH}/bin/setenv.bash +elif [ "${RUN_MODE}" = "sim" ]; then + # in case of running op in simulator, use stub .so instead + export LD_LIBRARY_PATH=${_ASCEND_INSTALL_PATH}/runtime/lib64/stub:$LD_LIBRARY_PATH + source ${_ASCEND_INSTALL_PATH}/bin/setenv.bash + export LD_LIBRARY_PATH=${_ASCEND_INSTALL_PATH}/tools/simulator/${SOC_VERSION}/lib:$LD_LIBRARY_PATH + if [ ! $CAMODEL_LOG_PATH ]; then + export CAMODEL_LOG_PATH=$(pwd)/sim_log + fi + if [ -d "$CAMODEL_LOG_PATH" ]; then + rm -rf $CAMODEL_LOG_PATH + fi + mkdir -p $CAMODEL_LOG_PATH +elif [ "${RUN_MODE}" = "cpu" ]; then + source ${_ASCEND_INSTALL_PATH}/bin/setenv.bash + export LD_LIBRARY_PATH=${_ASCEND_INSTALL_PATH}/tools/tikicpulib/lib:${_ASCEND_INSTALL_PATH}/tools/tikicpulib/lib/${SOC_VERSION}:${_ASCEND_INSTALL_PATH}/tools/simulator/${SOC_VERSION}/lib:$LD_LIBRARY_PATH +fi + +set -e +rm -rf build out +mkdir -p build +cmake -B build \ + -DRUN_MODE=${RUN_MODE} \ + -DSOC_VERSION=${SOC_VERSION} \ + -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \ + -DCMAKE_INSTALL_PREFIX=${INSTALL_PREFIX} \ + -DASCEND_CANN_PACKAGE_PATH=${_ASCEND_INSTALL_PATH} +cmake --build build -j +cmake --install build + +rm -f ascendc_kernels_bbit +cp ./out/bin/ascendc_kernels_bbit ./ +rm -rf input output +mkdir -p input output +python3 scripts/gen_data.py +( + export LD_LIBRARY_PATH=$(pwd)/out/lib:$(pwd)/out/lib64:${_ASCEND_INSTALL_PATH}/lib64:$LD_LIBRARY_PATH + if [[ "$RUN_WITH_TOOLCHAIN" -eq 1 ]]; then + if [ "${RUN_MODE}" = "npu" ]; then + msprof op --application=./ascendc_kernels_bbit + elif [ "${RUN_MODE}" = "sim" ]; then + msprof op simulator --application=./ascendc_kernels_bbit + elif [ "${RUN_MODE}" = "cpu" ]; then + ./ascendc_kernels_bbit + fi + else + ./ascendc_kernels_bbit + fi +) +md5sum output/*.bin +python3 scripts/verify_result.py output/output_z.bin output/golden.bin diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/gen_data.py b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/gen_data.py new file mode 100644 index 000000000..99c6e31de --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/gen_data.py @@ -0,0 +1,26 @@ +#!/usr/bin/python3 +# coding=utf-8 +# +# Copyright (C) 2023-2024. Huawei Technologies Co., Ltd. All rights reserved. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# =============================================================================== + +import numpy as np + + +def gen_golden_data_simple(): + input_x = np.random.uniform(1, 100, [8, 2048]).astype(np.float16) + input_y = np.random.uniform(1, 100, [8, 2048]).astype(np.float16) + golden = (input_x + input_y).astype(np.float16) + tiling = np.array([16384, 8], dtype=np.uint32) + tiling.tofile("./input/input_tiling.bin") + input_x.tofile("./input/input_x.bin") + input_y.tofile("./input/input_y.bin") + golden.tofile("./output/golden.bin") + + +if __name__ == "__main__": + gen_golden_data_simple() diff --git a/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/verify_result.py b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/verify_result.py new file mode 100644 index 000000000..1a21d809a --- /dev/null +++ b/operator/AddCustomSample/KernelLaunch/AddKernelInvocationAcl/scripts/verify_result.py @@ -0,0 +1,53 @@ +#!/usr/bin/python3 +# coding=utf-8 +# +# Copyright (C) 2023-2024. Huawei Technologies Co., Ltd. All rights reserved. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# =============================================================================== + +import sys +import numpy as np + +# for float16 +relative_tol = 1e-3 +absolute_tol = 1e-5 +error_tol = 1e-3 + + +def verify_result(output, golden): + output = np.fromfile(output, dtype=np.float16).reshape(-1) + golden = np.fromfile(golden, dtype=np.float16).reshape(-1) + different_element_results = np.isclose(output, + golden, + rtol=relative_tol, + atol=absolute_tol, + equal_nan=True) + different_element_indexes = np.where(different_element_results == False)[0] + for index in range(len(different_element_indexes)): + real_index = different_element_indexes[index] + golden_data = golden[real_index] + output_data = output[real_index] + print( + "data index: %06d, expected: %-.9f, actual: %-.9f, rdiff: %-.6f" % + (real_index, golden_data, output_data, + abs(output_data - golden_data) / golden_data)) + if index == 100: + break + error_ratio = float(different_element_indexes.size) / golden.size + print("error ratio: %.4f, tolrence: %.4f" % (error_ratio, error_tol)) + return error_ratio <= error_tol + + +if __name__ == '__main__': + try: + res = verify_result(sys.argv[1], sys.argv[2]) + if not res: + raise ValueError("[ERROR] result error") + else: + print("test pass") + except Exception as e: + print(e) + sys.exit(1) -- Gitee