TensorRT plugins and ONNX parser编译

https://github.com/NVIDIA/TensorRT是TensorRT plugins and ONNX parser，并不包含TensorRT的nvinfer库（libinfer.so、nvinfer.dll），此部分并未开源，只能使用官方支持的平台、环境https://developer.nvidia.com/tensorrt/download/10x。
在这里插入图片描述

编译https://github.com/NVIDIA/TensorRT只能生成libnvinfer_plugin.so、libnvinfer_vc_plugin.so、libnvonnxparser.so。详见编译的成果物：
在这里插入图片描述
具体说明如官方介绍：
This repository contains the Open Source Software (OSS) components of NVIDIA TensorRT. It includes the sources for TensorRT plugins and ONNX parser, as well as sample applications demonstrating usage and capabilities of the TensorRT platform. These open source software components are a subset of the TensorRT General Availability (GA) release with some extensions and bug-fixes.

1. TensorRT plugins and ONNX parser编译

git clone --recursive https://github.com/NVIDIA/TensorRT
注意加--recursive，否则TensorRT-10.0.0\parsers\onnx和TensorRT-10.0.0\parsers\onnx\third_party\onnx下都是空的，还要再手动去github下载。
假设上述代码下载时完整的，编译的方法是修改CMakeLists.txt适配自己的硬件平台即可，当前使用的版本是v10.0.0。
如下是修改后的CMakeLists.txt

#
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
#cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
include(cmake/modules/set_ifndef.cmake)
include(cmake/modules/find_library_create_target.cmake)set_ifndef(TRT_LIB_DIR ${CMAKE_BINARY_DIR})
set_ifndef(TRT_OUT_DIR ${CMAKE_BINARY_DIR})# Converts Windows paths
if(CMAKE_VERSION VERSION_LESS 3.20)file(TO_CMAKE_PATH "${TRT_LIB_DIR}" TRT_LIB_DIR)file(TO_CMAKE_PATH "${TRT_OUT_DIR}" TRT_OUT_DIR)
else()cmake_path(SET TRT_LIB_DIR ${TRT_LIB_DIR})cmake_path(SET TRT_OUT_DIR ${TRT_OUT_DIR})
endif()# Required to export symbols to build *.libs
if(WIN32)add_compile_definitions(TENSORRT_BUILD_LIB 1)
endif()# Set output paths
set(RUNTIME_OUTPUT_DIRECTORY ${TRT_OUT_DIR} CACHE PATH "Output directory for runtime target files")
set(LIBRARY_OUTPUT_DIRECTORY ${TRT_OUT_DIR} CACHE PATH "Output directory for library target files")
set(ARCHIVE_OUTPUT_DIRECTORY ${TRT_OUT_DIR} CACHE PATH "Output directory for archive target files")if(WIN32)set(STATIC_LIB_EXT "lib")
else()set(STATIC_LIB_EXT "a")
endif()file(STRINGS "${CMAKE_CURRENT_SOURCE_DIR}/include/NvInferVersion.h" VERSION_STRINGS REGEX "#define NV_TENSORRT_.*")foreach(TYPE MAJOR MINOR PATCH BUILD)string(REGEX MATCH "NV_TENSORRT_${TYPE} [0-9]+" TRT_TYPE_STRING ${VERSION_STRINGS})string(REGEX MATCH "[0-9]+" TRT_${TYPE} ${TRT_TYPE_STRING})
endforeach(TYPE)set(TRT_VERSION "${TRT_MAJOR}.${TRT_MINOR}.${TRT_PATCH}" CACHE STRING "TensorRT project version")
set(ONNX2TRT_VERSION "${TRT_MAJOR}.${TRT_MINOR}.${TRT_PATCH}" CACHE STRING "ONNX2TRT project version")
set(TRT_SOVERSION "${TRT_MAJOR}" CACHE STRING "TensorRT library so version")
message("Building for TensorRT version: ${TRT_VERSION}, library version: ${TRT_SOVERSION}")if(NOT DEFINED CMAKE_TOOLCHAIN_FILE)find_program(CMAKE_CXX_COMPILER NAMES $ENV{CXX} g++)
endif()set(CMAKE_SKIP_BUILD_RPATH True)project(TensorRTLANGUAGES CXX CUDAVERSION ${TRT_VERSION}DESCRIPTION "TensorRT is a C++ library that facilitates high-performance inference on NVIDIA GPUs and deep learning accelerators."HOMEPAGE_URL "https://github.com/NVIDIA/TensorRT")if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)set(CMAKE_INSTALL_PREFIX ${TRT_LIB_DIR}/../ CACHE PATH "TensorRT installation" FORCE)
endif(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)option(BUILD_PLUGINS "Build TensorRT plugin" ON)
option(BUILD_PARSERS "Build TensorRT parsers" ON)
option(BUILD_SAMPLES "Build TensorRT samples" ON)# C++14
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)if(NOT MSVC)set(CMAKE_CXX_FLAGS "-Wno-deprecated-declarations ${CMAKE_CXX_FLAGS} -DBUILD_SYSTEM=cmake_oss")
else()set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DBUILD_SYSTEM=cmake_oss")
endif()############################################################################################
# Cross-compilation settingsset(TRT_PLATFORM_ID aarch64)        # added by garrylau，参考自己设备的架构，对于NVIDIA tegra可安装jtop之后在”7INFO“中查看
set_ifndef(TRT_PLATFORM_ID "x86_64")
message(STATUS "Targeting TRT Platform: ${TRT_PLATFORM_ID}")############################################################################################
# Debug settingsset(TRT_DEBUG_POSTFIX _debug CACHE STRING "suffix for debug builds")if (CMAKE_BUILD_TYPE STREQUAL "Debug")message("Building in debug mode ${DEBUG_POSTFIX}")
endif()############################################################################################
# Dependencies#set(DEFAULT_CUDA_VERSION 12.2.0)        # added by garrylau，参考自己本地CUDA的版本
#set(DEFAULT_CUDNN_VERSION 8.9)          # added by garrylau，参考自己本地cudnn的版本
set(DEFAULT_CUDA_VERSION 11.4.239)
set(DEFAULT_CUDNN_VERSION 8.4.1)
set(DEFAULT_PROTOBUF_VERSION 3.20.1)# Dependency Version Resolution
set_ifndef(CUDA_VERSION ${DEFAULT_CUDA_VERSION})
message(STATUS "CUDA version set to ${CUDA_VERSION}")
set_ifndef(CUDNN_VERSION ${DEFAULT_CUDNN_VERSION})
message(STATUS "cuDNN version set to ${CUDNN_VERSION}")
set_ifndef(PROTOBUF_VERSION ${DEFAULT_PROTOBUF_VERSION})
message(STATUS "Protobuf version set to ${PROTOBUF_VERSION}")set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads REQUIRED)
if (BUILD_PLUGINS OR BUILD_PARSERS)include(third_party/protobuf.cmake)
endif()
if(NOT CUB_ROOT_DIR)if (CUDA_VERSION VERSION_LESS 11.0)set(CUB_ROOT_DIR ${CMAKE_CURRENT_SOURCE_DIR}/third_party/cub CACHE STRING "directory of CUB installation")endif()
endif()## find_package(CUDA) is broken for cross-compilation. Enable CUDA language instead.
if(NOT DEFINED CMAKE_TOOLCHAIN_FILE)find_package(CUDA ${CUDA_VERSION} REQUIRED)
endif()include_directories(${CUDA_INCLUDE_DIRS}
)
if(BUILD_PARSERS)configure_protobuf(${PROTOBUF_VERSION})
endif()find_library_create_target(nvinfer nvinfer SHARED ${TRT_LIB_DIR})find_library(CUDART_LIB cudart_static HINTS ${CUDA_TOOLKIT_ROOT_DIR} PATH_SUFFIXES lib lib/x64 lib64)if (NOT MSVC)find_library(RT_LIB rt)
endif()set(CUDA_LIBRARIES ${CUDART_LIB})############################################################################################
# CUDA targetsset(GPU_ARCHS 72)  # added by garrylau，参考自己设备的CUDA Arch BIN，对于NVIDIA tegra可安装jtop之后在”7INFO“中查看
if (DEFINED GPU_ARCHS)message(STATUS "GPU_ARCHS defined as ${GPU_ARCHS}. Generating CUDA code for SM ${GPU_ARCHS}")separate_arguments(GPU_ARCHS)
else()list(APPEND GPU_ARCHS7075)string(REGEX MATCH "aarch64" IS_ARM "${TRT_PLATFORM_ID}")if (CUDA_VERSION VERSION_GREATER_EQUAL 11.0)# Ampere GPU (SM80) support is only available in CUDA versions > 11.0list(APPEND GPU_ARCHS 80)endif()if (CUDA_VERSION VERSION_GREATER_EQUAL 11.1)list(APPEND GPU_ARCHS 86)endif()message(STATUS "GPU_ARCHS is not defined. Generating CUDA code for default SMs: ${GPU_ARCHS}")
endif()
set(BERT_GENCODES)
# Generate SASS for each architecture
foreach(arch ${GPU_ARCHS})if (${arch} GREATER_EQUAL 70)set(BERT_GENCODES "${BERT_GENCODES} -gencode arch=compute_${arch},code=sm_${arch}")endif()set(GENCODES "${GENCODES} -gencode arch=compute_${arch},code=sm_${arch}")
endforeach()# Generate PTX for the last architecture in the list.
list(GET GPU_ARCHS -1 LATEST_SM)
set(GENCODES "${GENCODES} -gencode arch=compute_${LATEST_SM},code=compute_${LATEST_SM}")
if (${LATEST_SM} GREATER_EQUAL 70)set(BERT_GENCODES "${BERT_GENCODES} -gencode arch=compute_${LATEST_SM},code=compute_${LATEST_SM}")
endif()if(NOT MSVC)set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr -Xcompiler -Wno-deprecated-declarations")
else()set(CMAKE_CUDA_SEPARABLE_COMPILATION ON)set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr -Xcompiler")
endif()############################################################################################
# TensorRTif(BUILD_PLUGINS)add_subdirectory(plugin)
else()find_library_create_target(nvinfer_plugin nvinfer_plugin SHARED ${TRT_OUT_DIR} ${TRT_LIB_DIR})
endif()if(BUILD_PARSERS)add_subdirectory(parsers)
else()find_library_create_target(nvonnxparser nvonnxparser SHARED ${TRT_OUT_DIR} ${TRT_LIB_DIR})
endif()if(BUILD_SAMPLES)add_subdirectory(samples)
endif()

如下是原版的CMakeLists.txt

#
# SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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.
#cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
include(cmake/modules/set_ifndef.cmake)
include(cmake/modules/find_library_create_target.cmake)set_ifndef(TRT_LIB_DIR ${CMAKE_BINARY_DIR})
set_ifndef(TRT_OUT_DIR ${CMAKE_BINARY_DIR})# Converts Windows paths
if(CMAKE_VERSION VERSION_LESS 3.20)file(TO_CMAKE_PATH "${TRT_LIB_DIR}" TRT_LIB_DIR)file(TO_CMAKE_PATH "${TRT_OUT_DIR}" TRT_OUT_DIR)
else()cmake_path(SET TRT_LIB_DIR ${TRT_LIB_DIR})cmake_path(SET TRT_OUT_DIR ${TRT_OUT_DIR})
endif()# Required to export symbols to build *.libs
if(WIN32)add_compile_definitions(TENSORRT_BUILD_LIB 1)
endif()# Set output paths
set(RUNTIME_OUTPUT_DIRECTORY ${TRT_OUT_DIR} CACHE PATH "Output directory for runtime target files")
set(LIBRARY_OUTPUT_DIRECTORY ${TRT_OUT_DIR} CACHE PATH "Output directory for library target files")
set(ARCHIVE_OUTPUT_DIRECTORY ${TRT_OUT_DIR} CACHE PATH "Output directory for archive target files")if(WIN32)set(STATIC_LIB_EXT "lib")
else()set(STATIC_LIB_EXT "a")
endif()file(STRINGS "${CMAKE_CURRENT_SOURCE_DIR}/include/NvInferVersion.h" VERSION_STRINGS REGEX "#define NV_TENSORRT_.*")foreach(TYPE MAJOR MINOR PATCH BUILD)string(REGEX MATCH "NV_TENSORRT_${TYPE} [0-9]+" TRT_TYPE_STRING ${VERSION_STRINGS})string(REGEX MATCH "[0-9]+" TRT_${TYPE} ${TRT_TYPE_STRING})
endforeach(TYPE)set(TRT_VERSION "${TRT_MAJOR}.${TRT_MINOR}.${TRT_PATCH}" CACHE STRING "TensorRT project version")
set(ONNX2TRT_VERSION "${TRT_MAJOR}.${TRT_MINOR}.${TRT_PATCH}" CACHE STRING "ONNX2TRT project version")
set(TRT_SOVERSION "${TRT_MAJOR}" CACHE STRING "TensorRT library so version")
message("Building for TensorRT version: ${TRT_VERSION}, library version: ${TRT_SOVERSION}")if(NOT DEFINED CMAKE_TOOLCHAIN_FILE)find_program(CMAKE_CXX_COMPILER NAMES $ENV{CXX} g++)
endif()set(CMAKE_SKIP_BUILD_RPATH True)project(TensorRTLANGUAGES CXX CUDAVERSION ${TRT_VERSION}DESCRIPTION "TensorRT is a C++ library that facilitates high-performance inference on NVIDIA GPUs and deep learning accelerators."HOMEPAGE_URL "https://github.com/NVIDIA/TensorRT")if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)set(CMAKE_INSTALL_PREFIX ${TRT_LIB_DIR}/../ CACHE PATH "TensorRT installation" FORCE)
endif(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)option(BUILD_PLUGINS "Build TensorRT plugin" ON)
option(BUILD_PARSERS "Build TensorRT parsers" ON)
option(BUILD_SAMPLES "Build TensorRT samples" ON)# C++14
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)if(NOT MSVC)set(CMAKE_CXX_FLAGS "-Wno-deprecated-declarations ${CMAKE_CXX_FLAGS} -DBUILD_SYSTEM=cmake_oss")
else()set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DBUILD_SYSTEM=cmake_oss")
endif()############################################################################################
# Cross-compilation settingsset_ifndef(TRT_PLATFORM_ID "x86_64")
message(STATUS "Targeting TRT Platform: ${TRT_PLATFORM_ID}")############################################################################################
# Debug settingsset(TRT_DEBUG_POSTFIX _debug CACHE STRING "suffix for debug builds")if (CMAKE_BUILD_TYPE STREQUAL "Debug")message("Building in debug mode ${DEBUG_POSTFIX}")
endif()############################################################################################
# Dependenciesset(DEFAULT_CUDA_VERSION 12.2.0)
set(DEFAULT_CUDNN_VERSION 8.9)
set(DEFAULT_PROTOBUF_VERSION 3.20.1)# Dependency Version Resolution
set_ifndef(CUDA_VERSION ${DEFAULT_CUDA_VERSION})
message(STATUS "CUDA version set to ${CUDA_VERSION}")
set_ifndef(CUDNN_VERSION ${DEFAULT_CUDNN_VERSION})
message(STATUS "cuDNN version set to ${CUDNN_VERSION}")
set_ifndef(PROTOBUF_VERSION ${DEFAULT_PROTOBUF_VERSION})
message(STATUS "Protobuf version set to ${PROTOBUF_VERSION}")set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads REQUIRED)
if (BUILD_PLUGINS OR BUILD_PARSERS)include(third_party/protobuf.cmake)
endif()
if(NOT CUB_ROOT_DIR)if (CUDA_VERSION VERSION_LESS 11.0)set(CUB_ROOT_DIR ${CMAKE_CURRENT_SOURCE_DIR}/third_party/cub CACHE STRING "directory of CUB installation")endif()
endif()## find_package(CUDA) is broken for cross-compilation. Enable CUDA language instead.
if(NOT DEFINED CMAKE_TOOLCHAIN_FILE)find_package(CUDA ${CUDA_VERSION} REQUIRED)
endif()include_directories(${CUDA_INCLUDE_DIRS}
)
if(BUILD_PARSERS)configure_protobuf(${PROTOBUF_VERSION})
endif()find_library_create_target(nvinfer nvinfer SHARED ${TRT_LIB_DIR})find_library(CUDART_LIB cudart_static HINTS ${CUDA_TOOLKIT_ROOT_DIR} PATH_SUFFIXES lib lib/x64 lib64)if (NOT MSVC)find_library(RT_LIB rt)
endif()set(CUDA_LIBRARIES ${CUDART_LIB})############################################################################################
# CUDA targetsif (DEFINED GPU_ARCHS)message(STATUS "GPU_ARCHS defined as ${GPU_ARCHS}. Generating CUDA code for SM ${GPU_ARCHS}")separate_arguments(GPU_ARCHS)
else()list(APPEND GPU_ARCHS7075)string(REGEX MATCH "aarch64" IS_ARM "${TRT_PLATFORM_ID}")if (CUDA_VERSION VERSION_GREATER_EQUAL 11.0)# Ampere GPU (SM80) support is only available in CUDA versions > 11.0list(APPEND GPU_ARCHS 80)endif()if (CUDA_VERSION VERSION_GREATER_EQUAL 11.1)list(APPEND GPU_ARCHS 86)endif()message(STATUS "GPU_ARCHS is not defined. Generating CUDA code for default SMs: ${GPU_ARCHS}")
endif()
set(BERT_GENCODES)
# Generate SASS for each architecture
foreach(arch ${GPU_ARCHS})if (${arch} GREATER_EQUAL 70)set(BERT_GENCODES "${BERT_GENCODES} -gencode arch=compute_${arch},code=sm_${arch}")endif()set(GENCODES "${GENCODES} -gencode arch=compute_${arch},code=sm_${arch}")
endforeach()# Generate PTX for the last architecture in the list.
list(GET GPU_ARCHS -1 LATEST_SM)
set(GENCODES "${GENCODES} -gencode arch=compute_${LATEST_SM},code=compute_${LATEST_SM}")
if (${LATEST_SM} GREATER_EQUAL 70)set(BERT_GENCODES "${BERT_GENCODES} -gencode arch=compute_${LATEST_SM},code=compute_${LATEST_SM}")
endif()if(NOT MSVC)set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr -Xcompiler -Wno-deprecated-declarations")
else()set(CMAKE_CUDA_SEPARABLE_COMPILATION ON)set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr -Xcompiler")
endif()############################################################################################
# TensorRTif(BUILD_PLUGINS)add_subdirectory(plugin)
else()find_library_create_target(nvinfer_plugin nvinfer_plugin SHARED ${TRT_OUT_DIR} ${TRT_LIB_DIR})
endif()if(BUILD_PARSERS)add_subdirectory(parsers)
else()find_library_create_target(nvonnxparser nvonnxparser SHARED ${TRT_OUT_DIR} ${TRT_LIB_DIR})
endif()if(BUILD_SAMPLES)add_subdirectory(samples)
endif()