inference_lib.cmake 10.0 KB
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# Copyright (c) 2018 PaddlePaddle Authors. 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.

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# make package for paddle fluid shared and static library
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if(WIN32)
    if(NOT PYTHON_EXECUTABLE)
	FIND_PACKAGE(PythonInterp REQUIRED)
    endif()
endif()

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set(COPY_SCRIPT_DIR ${PADDLE_SOURCE_DIR}/cmake)
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function(copy TARGET)
    set(options "")
    set(oneValueArgs "")
    set(multiValueArgs SRCS DSTS DEPS)
    cmake_parse_arguments(copy_lib "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
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    set(fluid_lib_dist_dep ${TARGET} ${fluid_lib_dist_dep} PARENT_SCOPE)
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    list(LENGTH copy_lib_SRCS copy_lib_SRCS_len)
    list(LENGTH copy_lib_DSTS copy_lib_DSTS_len)
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    if (NOT ${copy_lib_SRCS_len} EQUAL ${copy_lib_DSTS_len})
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        message(FATAL_ERROR "${TARGET} source numbers are not equal to destination numbers")
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    endif ()
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    math(EXPR len "${copy_lib_SRCS_len} - 1")
    add_custom_target(${TARGET} DEPENDS ${copy_lib_DEPS})
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    foreach (index RANGE ${len})
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        list(GET copy_lib_SRCS ${index} src)
        list(GET copy_lib_DSTS ${index} dst)
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        if (WIN32)   #windows
            file(TO_NATIVE_PATH ${src} native_src)
            file(TO_NATIVE_PATH ${dst} native_dst)
            add_custom_command(TARGET ${TARGET} POST_BUILD
                    COMMAND ${PYTHON_EXECUTABLE} ${COPY_SCRIPT_DIR}/copyfile.py ${native_src} ${native_dst})
        else (WIN32) #not windows
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            add_custom_command(TARGET ${TARGET} PRE_BUILD
                    COMMAND mkdir -p "${dst}"
                    COMMAND cp -r "${src}" "${dst}"
                    COMMENT "copying ${src} -> ${dst}")
        endif (WIN32) # not windows
    endforeach ()
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endfunction()

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# third party
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/eigen3")
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copy(eigen3_lib
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        SRCS ${EIGEN_INCLUDE_DIR}/Eigen/Core ${EIGEN_INCLUDE_DIR}/Eigen/src ${EIGEN_INCLUDE_DIR}/unsupported/Eigen
        DSTS ${dst_dir}/Eigen ${dst_dir}/Eigen ${dst_dir}/unsupported
        DEPS eigen3
        )
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/gflags")
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copy(gflags_lib
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        SRCS ${GFLAGS_INCLUDE_DIR} ${GFLAGS_LIBRARIES}
        DSTS ${dst_dir} ${dst_dir}/lib
        DEPS gflags
        )
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/glog")
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copy(glog_lib
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        SRCS ${GLOG_INCLUDE_DIR} ${GLOG_LIBRARIES}
        DSTS ${dst_dir} ${dst_dir}/lib
        DEPS glog
        )
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/boost/")
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copy(boost_lib
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        SRCS ${BOOST_INCLUDE_DIR}/boost
        DSTS ${dst_dir}
        DEPS boost
        )
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/xxhash")
copy(xxhash_lib
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        SRCS ${XXHASH_INCLUDE_DIR} ${XXHASH_LIBRARIES}
        DSTS ${dst_dir} ${dst_dir}/lib
        DEPS xxhash
        )
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if (NOT PROTOBUF_FOUND OR WIN32)
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    set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/protobuf")
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    copy(protobuf_lib
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            SRCS ${PROTOBUF_INCLUDE_DIR} ${PROTOBUF_LIBRARY}
            DSTS ${dst_dir} ${dst_dir}/lib
            DEPS extern_protobuf
            )
endif ()
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if (WITH_MKLML)
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    set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/mklml")
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    if(WIN32)
        copy(mklml_lib
                SRCS ${MKLML_LIB} ${MKLML_IOMP_LIB} ${MKLML_SHARED_LIB}
                    ${MKLML_SHARED_LIB_DEPS} ${MKLML_SHARED_IOMP_LIB} ${MKLML_INC_DIR}
                DSTS ${dst_dir}/lib ${dst_dir}/lib ${dst_dir}/lib
                    ${dst_dir}/lib ${dst_dir}/lib ${dst_dir}
                DEPS mklml
                )
    else()
        copy(mklml_lib
                SRCS ${MKLML_LIB} ${MKLML_IOMP_LIB} ${MKLML_INC_DIR}
                DSTS ${dst_dir}/lib ${dst_dir}/lib ${dst_dir}
                DEPS mklml
                )
    endif()
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elseif (NOT CBLAS_FOUND OR WIN32)
    set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/openblas")
    copy(openblas_lib
            SRCS ${CBLAS_INSTALL_DIR}/lib ${CBLAS_INSTALL_DIR}/include
            DSTS ${dst_dir} ${dst_dir}
            DEPS extern_openblas
            )
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endif ()

if (WITH_MKLDNN)
    set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/mkldnn")
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    if(WIN32)
        copy(mkldnn_lib
                SRCS ${MKLDNN_INC_DIR} ${MKLDNN_SHARED_LIB} ${MKLDNN_LIB}
                DSTS ${dst_dir} ${dst_dir}/lib ${dst_dir}/lib
                DEPS mkldnn_shared_lib
                )
    else()
        copy(mkldnn_lib
                SRCS ${MKLDNN_INC_DIR} ${MKLDNN_SHARED_LIB}
                DSTS ${dst_dir} ${dst_dir}/lib
                DEPS mkldnn_shared_lib
                )
    endif()
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endif ()
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if (WITH_NGRAPH)
    set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/ngraph")
    copy(ngraph_lib
            SRCS ${NGRAPH_INC_DIR} ${NGRAPH_LIB_DIR}
            DSTS ${dst_dir} ${dst_dir}
            DEPS ngraph
            )
endif ()

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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/snappy")
copy(snappy_lib
        SRCS ${SNAPPY_INCLUDE_DIR} ${SNAPPY_LIBRARIES}
        DSTS ${dst_dir} ${dst_dir}/lib
        DEPS snappy)
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/snappystream")
copy(snappystream_lib
        SRCS ${SNAPPYSTREAM_INCLUDE_DIR} ${SNAPPYSTREAM_LIBRARIES}
        DSTS ${dst_dir} ${dst_dir}/lib
        DEPS snappystream)
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set(dst_dir "${FLUID_INSTALL_DIR}/third_party/install/zlib")
copy(zlib_lib
        SRCS ${ZLIB_INCLUDE_DIR} ${ZLIB_LIBRARIES}
        DSTS ${dst_dir} ${dst_dir}/lib
        DEPS zlib)
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# paddle fluid module
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set(src_dir "${PADDLE_SOURCE_DIR}/paddle/fluid")
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set(dst_dir "${FLUID_INSTALL_DIR}/paddle/fluid")
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set(module "framework")
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set(framework_lib_deps framework_py_proto)
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copy(framework_lib DEPS ${framework_lib_deps}
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        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/details/*.h ${PADDLE_BINARY_DIR}/paddle/fluid/framework/framework.pb.h ${PADDLE_BINARY_DIR}/paddle/fluid/framework/data_feed.pb.h ${src_dir}/${module}/ir/memory_optimize_pass/*.h
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        ${src_dir}/${module}/ir/*.h ${src_dir}/${module}/fleet/*.h
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        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/details ${dst_dir}/${module} ${dst_dir}/${module} ${dst_dir}/${module}/ir/memory_optimize_pass ${dst_dir}/${module}/ir ${dst_dir}/${module}/fleet
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        )
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set(module "memory")
copy(memory_lib
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        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/detail/*.h ${src_dir}/${module}/allocation/*.h
        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/detail ${dst_dir}/${module}/allocation
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        )
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set(inference_deps paddle_fluid_shared paddle_fluid)
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set(module "inference/api")
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if (TENSORRT_FOUND)
    copy(tensorrt_lib DEPS ${inference_deps} 
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        SRCS ${TENSORRT_ROOT}/include/Nv*.h ${TENSORRT_ROOT}/lib/*nvinfer*
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        DSTS ${FLUID_INSTALL_DIR}/third_party/install/tensorrt/include ${FLUID_INSTALL_DIR}/third_party/install/tensorrt/lib)
endif ()

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if (ANAKIN_FOUND)
    copy(anakin_lib DEPS ${inference_deps} 
        SRCS ${ANAKIN_ROOT}/*
        DSTS ${FLUID_INSTALL_DIR}/third_party/install/anakin)
endif ()
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set(module "inference")
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if(WIN32)
    set(paddle_fluid_lib ${PADDLE_BINARY_DIR}/paddle/fluid/inference/${CMAKE_BUILD_TYPE}/libpaddle_fluid.*)
else(WIN32)
    set(paddle_fluid_lib ${PADDLE_BINARY_DIR}/paddle/fluid/inference/libpaddle_fluid.*)
endif(WIN32)
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copy(inference_lib DEPS ${inference_deps}
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  SRCS ${src_dir}/${module}/*.h ${paddle_fluid_lib}
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       ${src_dir}/${module}/api/paddle_*.h
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  DSTS ${dst_dir}/${module} ${dst_dir}/${module} ${dst_dir}/${module}
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        )
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set(module "platform")
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copy(platform_lib DEPS profiler_py_proto
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        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/dynload/*.h ${src_dir}/${module}/details/*.h
        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/dynload ${dst_dir}/${module}/details
        )
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set(module "string")
copy(string_lib
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        SRCS ${src_dir}/${module}/*.h ${src_dir}/${module}/tinyformat/*.h
        DSTS ${dst_dir}/${module} ${dst_dir}/${module}/tinyformat
        )
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set(module "pybind")
copy(pybind_lib
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        SRCS ${CMAKE_CURRENT_BINARY_DIR}/paddle/fluid/${module}/pybind.h
        DSTS ${dst_dir}/${module}
        )
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# CMakeCache Info
copy(cmake_cache
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        SRCS ${CMAKE_CURRENT_BINARY_DIR}/CMakeCache.txt
        DSTS ${FLUID_INSTALL_DIR})
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# This command generates a complete fluid library for both train and inference
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add_custom_target(fluid_lib_dist DEPENDS ${fluid_lib_dist_dep})
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# Following commands generate a inference-only fluid library
# third_party, version.txt and CMakeCache.txt are the same position with ${FLUID_INSTALL_DIR}
copy(third_party DEPS fluid_lib_dist
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        SRCS ${FLUID_INSTALL_DIR}/third_party ${FLUID_INSTALL_DIR}/CMakeCache.txt
        DSTS ${FLUID_INFERENCE_INSTALL_DIR} ${FLUID_INFERENCE_INSTALL_DIR}
        )
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# only need libpaddle_fluid.so/a and paddle_*.h for inference-only library
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copy(inference_api_lib DEPS fluid_lib_dist
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  SRCS ${paddle_fluid_lib}
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       ${FLUID_INSTALL_DIR}/paddle/fluid/inference/paddle_*.h
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  DSTS ${FLUID_INFERENCE_INSTALL_DIR}/paddle/lib ${FLUID_INFERENCE_INSTALL_DIR}/paddle/include
)

add_custom_target(inference_lib_dist DEPENDS third_party inference_api_lib)

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# paddle fluid version
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function(version version_file)
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    execute_process(
            COMMAND ${GIT_EXECUTABLE} log --pretty=format:%H -1
            WORKING_DIRECTORY ${PADDLE_SOURCE_DIR}
            OUTPUT_VARIABLE PADDLE_GIT_COMMIT)
    file(WRITE ${version_file}
            "GIT COMMIT ID: ${PADDLE_GIT_COMMIT}\n"
            "WITH_MKL: ${WITH_MKL}\n"
            "WITH_MKLDNN: ${WITH_MKLDNN}\n"
            "WITH_GPU: ${WITH_GPU}\n")
    if (WITH_GPU)
        file(APPEND ${version_file}
                "CUDA version: ${CUDA_VERSION}\n"
                "CUDNN version: v${CUDNN_MAJOR_VERSION}\n")
    endif ()
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endfunction()
version(${FLUID_INSTALL_DIR}/version.txt)
version(${FLUID_INFERENCE_INSTALL_DIR}/version.txt)