mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
640aa03538
* minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
38 lines
1.7 KiB
CMake
38 lines
1.7 KiB
CMake
# Copyright (c) OpenMMLab. All rights reserved.
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cmake_minimum_required(VERSION 3.14)
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include(${CMAKE_SOURCE_DIR}/cmake/cuda.cmake NO_POLICY_SCOPE)
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project(mmdeploy_tensorrt_ops CUDA CXX)
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include(${CMAKE_SOURCE_DIR}/cmake/MMDeploy.cmake)
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include(${CMAKE_SOURCE_DIR}/cmake/cuda.cmake NO_POLICY_SCOPE)
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include(${CMAKE_SOURCE_DIR}/cmake/tensorrt.cmake NO_POLICY_SCOPE)
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# cub
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if (NOT DEFINED CUB_ROOT_DIR)
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if (CUDA_VERSION VERSION_LESS 11.0)
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set(CUB_ROOT_DIR "${CMAKE_SOURCE_DIR}/third_party/cub")
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endif ()
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endif ()
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file(GLOB_RECURSE BACKEND_OPS_SRCS *.cpp *.cu)
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add_library(${PROJECT_NAME}_obj OBJECT "${BACKEND_OPS_SRCS}")
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set_target_properties(${PROJECT_NAME}_obj PROPERTIES POSITION_INDEPENDENT_CODE 1)
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target_compile_definitions(${PROJECT_NAME}_obj
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PRIVATE -DTHRUST_IGNORE_DEPRECATED_CPP_DIALECT=1)
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target_include_directories(${PROJECT_NAME}_obj
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PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/common)
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target_include_directories(${PROJECT_NAME}_obj
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PRIVATE ${CUDA_TOOLKIT_ROOT_DIR}/include)
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target_include_directories(${PROJECT_NAME}_obj PRIVATE ${TENSORRT_INCLUDE_DIR})
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target_include_directories(${PROJECT_NAME}_obj PRIVATE ${CUDNN_DIR}/include)
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target_include_directories(${PROJECT_NAME}_obj PRIVATE ${CUB_ROOT_DIR})
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target_link_directories(${PROJECT_NAME}_obj PUBLIC ${CUDNN_DIR}/lib64 ${CUDNN_DIR}/lib/x64)
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target_link_libraries(${PROJECT_NAME}_obj
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PUBLIC ${TENSORRT_LIBRARY} ${CUDA_CUBLAS_LIBRARIES} cudnn)
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mmdeploy_export(${PROJECT_NAME}_obj)
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# Build module library. It is used to convert onnx model to tensorrt engine
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mmdeploy_add_module(${PROJECT_NAME} MODULE EXCLUDE "")
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target_link_libraries(${PROJECT_NAME} PRIVATE ${PROJECT_NAME}_obj)
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add_library(mmdeploy::tensorrt_ops ALIAS ${PROJECT_NAME})
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