Jiabin Yang
7 years ago
committed by
GitHub
commit
f7b55de9e5
@ -0,0 +1,92 @@
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# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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add_library(ngraph INTERFACE)
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IF(WIN32 OR APPLE)
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MESSAGE(WARNING
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"Windows or Mac is not supported with nGraph in Paddle yet."
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"Force WITH_NGRAPH=OFF")
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SET(WITH_NGRAPH OFF CACHE STRING "Disable nGraph in Windows and MacOS" FORCE)
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ENDIF()
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IF(${WITH_NGRAPH} AND NOT ${WITH_MKLDNN})
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MESSAGE(WARNING
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"nGraph needs mkl-dnn to be enabled."
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"Force WITH_NGRAPH=OFF")
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SET(WITH_NGRAPH OFF CACHE STRING "Disable nGraph if mkl-dnn is disabled" FORCE)
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ENDIF()
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IF(NOT ${WITH_NGRAPH})
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return()
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ENDIF()
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INCLUDE(ExternalProject)
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SET(NGRAPH_PROJECT "extern_ngraph")
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SET(NGRAPH_VERSION "0.9")
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SET(NGRAPH_GIT_TAG "f9fd9d4cc318dc59dd4b68448e7fbb5f67a28bd0")
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SET(NGRAPH_SOURCES_DIR ${THIRD_PARTY_PATH}/ngraph)
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SET(NGRAPH_INSTALL_DIR ${THIRD_PARTY_PATH}/install/ngraph)
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SET(NGRAPH_INC_DIR ${NGRAPH_INSTALL_DIR}/include)
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SET(NGRAPH_SHARED_LIB_NAME libngraph.so.${NGRAPH_VERSION})
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SET(NGRAPH_CPU_LIB_NAME libcpu_backend.so)
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SET(NGRAPH_TBB_LIB_NAME libtbb.so.2)
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SET(NGRAPH_GIT_REPO "https://github.com/NervanaSystems/ngraph.git")
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ExternalProject_Add(
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${NGRAPH_PROJECT}
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${EXTERNAL_PROJECT_LOG_ARGS}
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DEPENDS ${MKLDNN_PROJECT} ${MKLML_PROJECT}
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GIT_REPOSITORY ${NGRAPH_GIT_REPO}
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GIT_TAG ${NGRAPH_GIT_TAG}
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PREFIX ${NGRAPH_SOURCES_DIR}
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UPDATE_COMMAND ""
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CMAKE_ARGS -DCMAKE_INSTALL_PREFIX=${NGRAPH_INSTALL_DIR}
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CMAKE_ARGS -DNGRAPH_UNIT_TEST_ENABLE=FALSE
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CMAKE_ARGS -DNGRAPH_TOOLS_ENABLE=FALSE
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CMAKE_ARGS -DNGRAPH_INTERPRETER_ENABLE=FALSE
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CMAKE_ARGS -DNGRAPH_DEX_ONLY=TRUE
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CMAKE_ARGS -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}
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CMAKE_ARGS -DMKLDNN_INCLUDE_DIR=${MKLDNN_INC_DIR}
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CMAKE_ARGS -DMKLDNN_LIB_DIR=${MKLDNN_INSTALL_DIR}/lib
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)
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if(UNIX AND NOT APPLE)
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include(GNUInstallDirs)
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SET(NGRAPH_LIB_DIR ${NGRAPH_INSTALL_DIR}/${CMAKE_INSTALL_LIBDIR})
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else()
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SET(NGRAPH_LIB_DIR ${NGRAPH_INSTALL_DIR}/lib)
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endif()
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MESSAGE(STATUS "nGraph lib will be installed at: ${NGRAPH_LIB_DIR}")
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SET(NGRAPH_SHARED_LIB ${NGRAPH_LIB_DIR}/${NGRAPH_SHARED_LIB_NAME})
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SET(NGRAPH_CPU_LIB ${NGRAPH_LIB_DIR}/${NGRAPH_CPU_LIB_NAME})
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SET(NGRAPH_TBB_LIB ${NGRAPH_LIB_DIR}/${NGRAPH_TBB_LIB_NAME})
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# Workaround for nGraph expecting mklml to be in mkldnn install directory.
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ExternalProject_Add_Step(
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${NGRAPH_PROJECT}
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PrepareMKL
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COMMAND ${CMAKE_COMMAND} -E create_symlink ${MKLML_LIB} ${MKLDNN_INSTALL_DIR}/lib/libmklml_intel.so
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COMMAND ${CMAKE_COMMAND} -E create_symlink ${MKLML_IOMP_LIB} ${MKLDNN_INSTALL_DIR}/lib/libiomp5.so
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DEPENDEES download
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DEPENDERS configure
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)
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add_dependencies(ngraph ${NGRAPH_PROJECT})
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target_compile_definitions(ngraph INTERFACE -DPADDLE_WITH_NGRAPH)
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target_include_directories(ngraph INTERFACE ${NGRAPH_INC_DIR})
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target_link_libraries(ngraph INTERFACE ${NGRAPH_SHARED_LIB})
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LIST(APPEND external_project_dependencies ngraph)
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File diff suppressed because it is too large
Load Diff
@ -0,0 +1,219 @@
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set(PART_CUDA_KERNEL_FILES)
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function(op_library TARGET)
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# op_library is a function to create op library. The interface is same as
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# cc_library. But it handle split GPU/CPU code and link some common library
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# for ops.
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set(cc_srcs)
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set(cu_srcs)
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set(hip_cu_srcs)
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set(miopen_hip_cc_srcs)
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set(cu_cc_srcs)
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set(cudnn_cu_cc_srcs)
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set(CUDNN_FILE)
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set(mkldnn_cc_srcs)
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set(MKLDNN_FILE)
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set(op_common_deps operator op_registry math_function)
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set(options "")
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set(oneValueArgs "")
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set(multiValueArgs SRCS DEPS)
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set(pybind_flag 0)
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cmake_parse_arguments(op_library "${options}" "${oneValueArgs}"
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"${multiValueArgs}" ${ARGN})
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list(LENGTH op_library_SRCS op_library_SRCS_len)
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if (${op_library_SRCS_len} EQUAL 0)
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cc)
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list(APPEND cc_srcs ${TARGET}.cc)
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endif()
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cu.cc)
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list(APPEND cu_cc_srcs ${TARGET}.cu.cc)
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endif()
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cu)
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list(APPEND cu_srcs ${TARGET}.cu)
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endif()
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu)
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set(PART_CUDA_KERNEL_FILES ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu
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${PART_CUDA_KERNEL_FILES} PARENT_SCOPE)
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list(APPEND cu_srcs ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu)
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endif()
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.hip.cu)
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list(APPEND hip_cu_srcs ${TARGET}.hip.cu)
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endif()
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string(REPLACE "_op" "_cudnn_op" CUDNN_FILE "${TARGET}")
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${CUDNN_FILE}.cu.cc)
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list(APPEND cudnn_cu_cc_srcs ${CUDNN_FILE}.cu.cc)
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endif()
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if(WITH_AMD_GPU)
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string(REPLACE "_op" "_miopen_op" MIOPEN_FILE "${TARGET}")
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MIOPEN_FILE}.hip.cc)
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list(APPEND miopen_hip_cc_srcs ${MIOPEN_FILE}.hip.cc)
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endif()
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endif()
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if(WITH_MKLDNN)
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string(REPLACE "_op" "_mkldnn_op" MKLDNN_FILE "${TARGET}")
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if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MKLDNN_FILE}.cc)
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list(APPEND mkldnn_cc_srcs ${MKLDNN_FILE}.cc)
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endif()
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endif()
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else()
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foreach(src ${op_library_SRCS})
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if (${src} MATCHES ".*\\.hip.cu$")
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list(APPEND hip_cu_srcs ${src})
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elseif (${src} MATCHES ".*\\.cu$")
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list(APPEND cu_srcs ${src})
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elseif(${src} MATCHES ".*_cudnn_op.cu.cc$")
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list(APPEND cudnn_cu_cc_srcs ${src})
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elseif(WITH_AMD_GPU AND ${src} MATCHES ".*_miopen_op.hip.cc$")
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list(APPEND miopen_hip_cc_srcs ${src})
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elseif(WITH_MKLDNN AND ${src} MATCHES ".*_mkldnn_op.cc$")
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list(APPEND mkldnn_cc_srcs ${src})
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elseif(${src} MATCHES ".*\\.cu.cc$")
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list(APPEND cu_cc_srcs ${src})
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elseif(${src} MATCHES ".*\\.cc$")
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list(APPEND cc_srcs ${src})
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else()
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message(FATAL_ERROR "${TARGET} Source file ${src} should only be .cc or .cu")
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endif()
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endforeach()
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endif()
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list(LENGTH cc_srcs cc_srcs_len)
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if (${cc_srcs_len} EQUAL 0)
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message(FATAL_ERROR "The op library ${TARGET} should contains at least one .cc file")
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endif()
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if (WIN32)
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# remove windows unsupported op, because windows has no nccl, no warpctc such ops.
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foreach(windows_unsupport_op "nccl_op" "gen_nccl_id_op" "warpctc_op" "hierarchical_sigmoid_op"
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"crf_decoding_op" "select_op" "lstmp_op" "gru_op" "fusion_gru_op" "lstm_op" "fusion_lstm_op" "cumsum_op"
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"fusion_seqconv_eltadd_relu_op" "channel_send_op" "channel_create_op" "channel_close_op" "channel_recv_op")
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if ("${TARGET}" STREQUAL "${windows_unsupport_op}")
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return()
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endif()
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endforeach()
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endif(WIN32)
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set(OP_LIBRARY ${TARGET} ${OP_LIBRARY} CACHE INTERNAL "op libs")
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list(LENGTH op_library_DEPS op_library_DEPS_len)
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if (${op_library_DEPS_len} GREATER 0)
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set(DEPS_OPS ${TARGET} ${DEPS_OPS} PARENT_SCOPE)
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endif()
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if (WITH_GPU)
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nv_library(${TARGET} SRCS ${cc_srcs} ${cu_cc_srcs} ${cudnn_cu_cc_srcs} ${mkldnn_cc_srcs} ${cu_srcs} DEPS ${op_library_DEPS}
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${op_common_deps})
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elseif (WITH_AMD_GPU)
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hip_library(${TARGET} SRCS ${cc_srcs} ${hip_cu_srcs} ${miopen_hip_cc_srcs} ${mkldnn_cc_srcs} DEPS ${op_library_DEPS}
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${op_common_deps})
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else()
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cc_library(${TARGET} SRCS ${cc_srcs} ${mkldnn_cc_srcs} DEPS ${op_library_DEPS}
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${op_common_deps})
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endif()
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# Define operators that don't need pybind here.
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foreach(manual_pybind_op "compare_op" "logical_op" "nccl_op"
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"tensor_array_read_write_op" "tensorrt_engine_op" "conv_fusion_op")
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if ("${TARGET}" STREQUAL "${manual_pybind_op}")
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set(pybind_flag 1)
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endif()
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endforeach()
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# The registration of USE_OP, please refer to paddle/fluid/framework/op_registry.h.
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# Note that it's enough to just adding one operator to pybind in a *_op.cc file.
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# And for detail pybind information, please see generated paddle/pybind/pybind.h.
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file(READ ${TARGET}.cc TARGET_CONTENT)
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string(REGEX MATCH "REGISTER_OPERATOR\\(.*REGISTER_OPERATOR\\(" multi_register "${TARGET_CONTENT}")
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string(REGEX MATCH "REGISTER_OPERATOR\\([a-z0-9_]*," one_register "${multi_register}")
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if (one_register STREQUAL "")
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string(REPLACE "_op" "" TARGET "${TARGET}")
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else ()
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string(REPLACE "REGISTER_OPERATOR(" "" TARGET "${one_register}")
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string(REPLACE "," "" TARGET "${TARGET}")
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endif()
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# pybind USE_NO_KERNEL_OP
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# HACK: if REGISTER_OP_CPU_KERNEL presents the operator must have kernel
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string(REGEX MATCH "REGISTER_OP_CPU_KERNEL" regex_result "${TARGET_CONTENT}")
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string(REPLACE "_op" "" TARGET "${TARGET}")
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if (${pybind_flag} EQUAL 0 AND regex_result STREQUAL "")
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file(APPEND ${pybind_file} "USE_NO_KERNEL_OP(${TARGET});\n")
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set(pybind_flag 1)
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endif()
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# pybind USE_CPU_ONLY_OP
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list(LENGTH cu_srcs cu_srcs_len)
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list(LENGTH cu_cc_srcs cu_cc_srcs_len)
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list(LENGTH mkldnn_cc_srcs mkldnn_cc_srcs_len)
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list(LENGTH hip_cu_srcs hip_cu_srcs_len)
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list(LENGTH miopen_hip_cc_srcs miopen_hip_cc_srcs_len)
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if (${pybind_flag} EQUAL 0 AND ${mkldnn_cc_srcs_len} EQUAL 0 AND ${cu_srcs_len} EQUAL 0 AND ${cu_cc_srcs_len} EQUAL 0 AND
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${hip_cu_srcs_len} EQUAL 0 AND ${miopen_hip_cc_srcs_len} EQUAL 0)
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file(APPEND ${pybind_file} "USE_CPU_ONLY_OP(${TARGET});\n")
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set(pybind_flag 1)
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endif()
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# pybind USE_OP_DEVICE_KERNEL for CUDNN
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list(LENGTH cudnn_cu_cc_srcs cudnn_cu_cc_srcs_len)
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if (WITH_GPU AND ${cudnn_cu_cc_srcs_len} GREATER 0)
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file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${TARGET}, CUDNN);\n")
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endif()
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# pybind USE_OP_DEVICE_KERNEL for MIOPEN
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if (WITH_AMD_GPU AND ${miopen_hip_cc_srcs_len} GREATER 0)
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file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${TARGET}, MIOPEN);\n")
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endif()
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# pybind USE_OP_DEVICE_KERNEL for MKLDNN
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if (WITH_MKLDNN AND ${mkldnn_cc_srcs_len} GREATER 0)
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# Append first implemented MKLDNN activation operator
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if (${MKLDNN_FILE} STREQUAL "activation_mkldnn_op")
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file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(relu, MKLDNN);\n")
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else()
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file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${TARGET}, MKLDNN);\n")
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endif()
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endif()
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# pybind USE_OP
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if (${pybind_flag} EQUAL 0)
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# NOTE(*): activation use macro to regist the kernels, set use_op manually.
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if(${TARGET} STREQUAL "activation")
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file(APPEND ${pybind_file} "USE_OP(relu);\n")
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elseif(${TARGET} STREQUAL "fake_dequantize")
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file(APPEND ${pybind_file} "USE_OP(fake_dequantize_max_abs);\n")
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elseif(${TARGET} STREQUAL "fake_quantize")
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file(APPEND ${pybind_file} "USE_OP(fake_quantize_abs_max);\n")
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elseif(${TARGET} STREQUAL "tensorrt_engine_op")
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message(STATUS "Pybind skips [tensorrt_engine_op], for this OP is only used in inference")
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elseif(${TARGET} STREQUAL "fc")
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# HACK: fc only have mkldnn and cpu, which would mismatch the cpu only condition
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file(APPEND ${pybind_file} "USE_CPU_ONLY_OP(${TARGET});\n")
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else()
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file(APPEND ${pybind_file} "USE_OP(${TARGET});\n")
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endif()
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endif()
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endfunction()
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function(register_operators)
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set(options "")
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set(oneValueArgs "")
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set(multiValueArgs EXCLUDES DEPS)
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cmake_parse_arguments(register_operators "${options}" "${oneValueArgs}"
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"${multiValueArgs}" ${ARGN})
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file(GLOB OPS RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*_op.cc")
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string(REPLACE "_mkldnn" "" OPS "${OPS}")
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string(REPLACE ".cc" "" OPS "${OPS}")
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list(REMOVE_DUPLICATES OPS)
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list(LENGTH register_operators_DEPS register_operators_DEPS_len)
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foreach(src ${OPS})
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list(FIND register_operators_EXCLUDES ${src} _index)
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if (${_index} EQUAL -1)
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if (${register_operators_DEPS_len} GREATER 0)
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op_library(${src} DEPS ${register_operators_DEPS})
|
||||
else()
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||||
op_library(${src})
|
||||
endif()
|
||||
endif()
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||||
endforeach()
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||||
endfunction()
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@ -1 +1 @@
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../../../CONTRIBUTING.md
|
||||
../../../CONTRIBUTING.md
|
||||
|
||||
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