Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into refine_trt
test=developpanyx0718-patch-1
nhzlx
6 years ago
commit
2a84054372
@ -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 ${register_operators_DEPS})
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else()
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op_library(${src})
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endif()
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endif()
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endforeach()
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endfunction()
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File diff suppressed because it is too large
Load Diff
@ -1,39 +1,40 @@
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# Add TRT tests
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nv_library(tensorrt_converter
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SRCS mul_op.cc conv2d_op.cc fc_op.cc pool2d_op.cc elementwise_op.cc
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batch_norm_op.cc activation_op.cc softmax_op.cc concat_op.cc dropout_op.cc
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pad_op.cc split_op.cc prelu_op.cc
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DEPS tensorrt_engine tensorrt_plugin operator scope framework_proto op_registry)
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SRCS mul_op.cc conv2d_op.cc fc_op.cc pool2d_op.cc elementwise_op.cc
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batch_norm_op.cc activation_op.cc softmax_op.cc concat_op.cc dropout_op.cc
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pad_op.cc split_op.cc prelu_op.cc
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DEPS tensorrt_engine tensorrt_plugin operator scope framework_proto op_registry)
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nv_test(test_op_converter SRCS test_op_converter.cc DEPS
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${FLUID_CORE_MODULES} tensorrt_engine tensorrt_converter)
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${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine tensorrt_converter)
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nv_test(test_io_converter SRCS test_io_converter.cc io_converter.cc DEPS dynload_cuda dynamic_loader lod_tensor)
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nv_test(test_trt_mul_op SRCS test_mul_op.cc mul_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine mul_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine mul_op SERIAL)
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nv_test(test_trt_fc_op SRCS test_fc_op.cc fc_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine mul_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine mul_op SERIAL)
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nv_test(test_trt_activation_op SRCS test_activation_op.cc activation_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine activation_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine activation_op SERIAL)
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nv_test(test_trt_conv_op SRCS test_conv2d_op.cc conv2d_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine conv_op conv_transpose_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine conv_op conv_transpose_op SERIAL)
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nv_test(test_trt_pool2d_op SRCS test_pool2d_op.cc pool2d_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine pool_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine pool_op SERIAL)
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nv_test(test_trt_elementwise_op SRCS test_elementwise_op.cc elementwise_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine elementwise_add_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine tensorrt_plugin
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elementwise_add_op elementwise_mul_op SERIAL)
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nv_test(test_trt_softmax_op SRCS test_softmax_op.cc softmax_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine softmax_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine softmax_op SERIAL)
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nv_test(test_trt_batch_norm_op SRCS test_batch_norm_op.cc batch_norm_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine batch_norm_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine batch_norm_op SERIAL)
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nv_test(test_trt_concat_op SRCS test_concat_op.cc concat_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine concat_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine concat_op SERIAL)
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nv_test(test_trt_dropout_op SRCS test_dropout_op.cc dropout_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine dropout_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine dropout_op SERIAL)
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nv_test(test_trt_pad_op SRCS test_pad_op.cc pad_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine pad_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine pad_op SERIAL)
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nv_test(test_trt_split_op SRCS test_split_op.cc split_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine tensorrt_plugin
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split_op concat_op SERIAL)
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine tensorrt_plugin
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split_op concat_op SERIAL)
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nv_test(test_trt_prelu_op SRCS test_prelu_op.cc prelu_op.cc
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DEPS ${FLUID_CORE_MODULES} tensorrt_engine tensorrt_plugin
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DEPS ${FLUID_CORE_MODULES} ${GLOB_OPERATOR_DEPS} tensorrt_engine tensorrt_plugin
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||||
prelu_op SERIAL)
|
||||
|
||||
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