CMakeLists.txt

file(GLOB GENERAL_OPS RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*_op.cc")
string(REPLACE "_mkldnn" "" GENERAL_OPS "${GENERAL_OPS}")
string(REPLACE ".cc" "" GENERAL_OPS "${GENERAL_OPS}")
list(REMOVE_DUPLICATES GENERAL_OPS)
set(DEPS_OPS "")
set(pybind_file ${PADDLE_BINARY_DIR}/paddle/fluid/pybind/pybind.h)
file(WRITE ${pybind_file} "// Generated by the paddle/fluid/operator/CMakeLists.txt.  DO NOT EDIT!\n\n")

set(PART_CUDA_KERNEL_FILES)
function(op_library TARGET)
    # op_library is a function to create op library. The interface is same as
    # cc_library. But it handle split GPU/CPU code and link some common library
    # for ops.
    set(cc_srcs)
    set(cu_srcs)
    set(hip_cu_srcs)
    set(miopen_hip_cc_srcs)
    set(cu_cc_srcs)
    set(cudnn_cu_cc_srcs)
    set(CUDNN_FILE)
    set(mkldnn_cc_srcs)
    set(MKLDNN_FILE)
    set(op_common_deps operator op_registry math_function)
    set(options "")
    set(oneValueArgs "")
    set(multiValueArgs SRCS DEPS)
    set(pybind_flag 0)
    cmake_parse_arguments(op_library "${options}" "${oneValueArgs}"
            "${multiValueArgs}" ${ARGN})

    list(LENGTH op_library_SRCS op_library_SRCS_len)
    if (${op_library_SRCS_len} EQUAL 0)
        if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cc)
            list(APPEND cc_srcs ${TARGET}.cc)
        endif()
        if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cu.cc)
            list(APPEND cu_cc_srcs ${TARGET}.cu.cc)
        endif()
        if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cu)
            list(APPEND cu_srcs ${TARGET}.cu)
        endif()
        if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu)
            set(PART_CUDA_KERNEL_FILES ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu
                    ${PART_CUDA_KERNEL_FILES} PARENT_SCOPE)
            list(APPEND cu_srcs ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu)
        endif()

        if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.hip.cu)
            list(APPEND hip_cu_srcs ${TARGET}.hip.cu)
        endif()
        string(REPLACE "_op" "_cudnn_op" CUDNN_FILE "${TARGET}")
        if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${CUDNN_FILE}.cu.cc)
            list(APPEND cudnn_cu_cc_srcs ${CUDNN_FILE}.cu.cc)
        endif()
        if(WITH_AMD_GPU)
            string(REPLACE "_op" "_miopen_op" MIOPEN_FILE "${TARGET}")
            if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MIOPEN_FILE}.hip.cc)
                list(APPEND miopen_hip_cc_srcs ${MIOPEN_FILE}.hip.cc)
            endif()
        endif()
        if(WITH_MKLDNN)
            string(REPLACE "_op" "_mkldnn_op" MKLDNN_FILE "${TARGET}")
            if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MKLDNN_FILE}.cc)
                list(APPEND mkldnn_cc_srcs ${MKLDNN_FILE}.cc)
            endif()
        endif()
    else()
        foreach(src ${op_library_SRCS})
            if (${src} MATCHES ".*\\.hip.cu$")
                list(APPEND hip_cu_srcs ${src})
            elseif (${src} MATCHES ".*\\.cu$")
                list(APPEND cu_srcs ${src})
            elseif(${src} MATCHES ".*_cudnn_op.cu.cc$")
                list(APPEND cudnn_cu_cc_srcs ${src})
            elseif(WITH_AMD_GPU AND ${src} MATCHES ".*_miopen_op.hip.cc$")
                list(APPEND miopen_hip_cc_srcs ${src})
            elseif(WITH_MKLDNN AND ${src} MATCHES ".*_mkldnn_op.cc$")
                list(APPEND mkldnn_cc_srcs ${src})
            elseif(${src} MATCHES ".*\\.cu.cc$")
                list(APPEND cu_cc_srcs ${src})
            elseif(${src} MATCHES ".*\\.cc$")
                list(APPEND cc_srcs ${src})
            else()
                message(FATAL_ERROR "${TARGET} Source file ${src} should only be .cc or .cu")
            endif()
        endforeach()
    endif()

    list(LENGTH cc_srcs cc_srcs_len)
    if (${cc_srcs_len} EQUAL 0)
        message(FATAL_ERROR "The op library ${TARGET} should contains at least one .cc file")
    endif()
    if (WIN32)
    # remove windows unsupported op, because windows has no nccl, no warpctc such ops.
    foreach(windows_unsupport_op "nccl_op" "gen_nccl_id_op" "warpctc_op" "hierarchical_sigmoid_op"
     "crf_decoding_op" "select_op" "lstmp_op" "gru_op" "fusion_gru_op" "lstm_op" "fusion_lstm_op" "cumsum_op"
      "fusion_seqconv_eltadd_relu_op" "channel_send_op" "channel_create_op" "channel_close_op" "channel_recv_op")
        if ("${TARGET}" STREQUAL "${windows_unsupport_op}")
          return()
        endif()
    endforeach()
    endif(WIN32)
    set(OP_LIBRARY ${TARGET} ${OP_LIBRARY} PARENT_SCOPE)

    list(LENGTH op_library_DEPS op_library_DEPS_len)
    if (${op_library_DEPS_len} GREATER 0)
        set(DEPS_OPS ${TARGET} ${DEPS_OPS} PARENT_SCOPE)
    endif()
    if (WITH_GPU)
        nv_library(${TARGET} SRCS ${cc_srcs} ${cu_cc_srcs} ${cudnn_cu_cc_srcs} ${mkldnn_cc_srcs} ${cu_srcs} DEPS ${op_library_DEPS}
                ${op_common_deps})
    elseif (WITH_AMD_GPU)
        hip_library(${TARGET} SRCS ${cc_srcs} ${hip_cu_srcs} ${miopen_hip_cc_srcs} ${mkldnn_cc_srcs} DEPS ${op_library_DEPS}
                ${op_common_deps})
    else()
        cc_library(${TARGET} SRCS ${cc_srcs} ${mkldnn_cc_srcs} DEPS ${op_library_DEPS}
            ${op_common_deps})
    endif()

    # Define operators that don't need pybind here.
    foreach(manual_pybind_op "compare_op" "logical_op" "nccl_op"
"tensor_array_read_write_op" "tensorrt_engine_op")
        if ("${TARGET}" STREQUAL "${manual_pybind_op}")
            set(pybind_flag 1)
        endif()
    endforeach()

    # The registration of USE_OP, please refer to paddle/fluid/framework/op_registry.h.
    # Note that it's enough to just adding one operator to pybind in a *_op.cc file.
    # And for detail pybind information, please see generated paddle/pybind/pybind.h.
    file(READ ${TARGET}.cc TARGET_CONTENT)
    string(REGEX MATCH "REGISTER_OPERATOR\\(.*REGISTER_OPERATOR\\(" multi_register "${TARGET_CONTENT}")
    string(REGEX MATCH "REGISTER_OPERATOR\\([a-z0-9_]*," one_register "${multi_register}")
    if (one_register STREQUAL "")
        string(REPLACE "_op" "" TARGET "${TARGET}")
    else ()
        string(REPLACE "REGISTER_OPERATOR(" "" TARGET "${one_register}")
        string(REPLACE "," "" TARGET "${TARGET}")
    endif()

    # pybind USE_NO_KERNEL_OP
    # HACK: if REGISTER_OP_CPU_KERNEL presents the operator must have kernel
    string(REGEX MATCH "REGISTER_OP_CPU_KERNEL" regex_result "${TARGET_CONTENT}")
    string(REPLACE "_op" "" TARGET "${TARGET}")
    if (${pybind_flag} EQUAL 0 AND regex_result STREQUAL "")
        file(APPEND ${pybind_file} "USE_NO_KERNEL_OP(${TARGET});\n")
        set(pybind_flag 1)
    endif()

    # pybind USE_CPU_ONLY_OP
    list(LENGTH cu_srcs cu_srcs_len)
    list(LENGTH cu_cc_srcs cu_cc_srcs_len)
    list(LENGTH mkldnn_cc_srcs mkldnn_cc_srcs_len)
    list(LENGTH hip_cu_srcs hip_cu_srcs_len)
    list(LENGTH miopen_hip_cc_srcs miopen_hip_cc_srcs_len)
    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
        ${hip_cu_srcs_len} EQUAL 0 AND ${miopen_hip_cc_srcs_len} EQUAL 0)
        file(APPEND ${pybind_file} "USE_CPU_ONLY_OP(${TARGET});\n")
        set(pybind_flag 1)
    endif()

    # pybind USE_OP_DEVICE_KERNEL for CUDNN
    list(LENGTH cudnn_cu_cc_srcs cudnn_cu_cc_srcs_len)
    if (WITH_GPU AND ${cudnn_cu_cc_srcs_len} GREATER 0)
        file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${TARGET}, CUDNN);\n")
    endif()

    # pybind USE_OP_DEVICE_KERNEL for MIOPEN
    if (WITH_AMD_GPU AND ${miopen_hip_cc_srcs_len} GREATER 0)
        file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${TARGET}, MIOPEN);\n")
    endif()

    # pybind USE_OP_DEVICE_KERNEL for MKLDNN
    if (WITH_MKLDNN AND ${mkldnn_cc_srcs_len} GREATER 0)
      # Append first implemented MKLDNN activation operator
      if (${MKLDNN_FILE} STREQUAL "activation_mkldnn_op")
        file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(relu, MKLDNN);\n")
      else()
        file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${TARGET}, MKLDNN);\n")
      endif()
    endif()

    # pybind USE_OP
    if (${pybind_flag} EQUAL 0)
      # NOTE(*): activation use macro to regist the kernels, set use_op manually.
      if(${TARGET} STREQUAL "activation")
        file(APPEND ${pybind_file} "USE_OP(relu);\n")
      elseif(${TARGET} STREQUAL "fake_dequantize")
        file(APPEND ${pybind_file} "USE_OP(fake_dequantize_max_abs);\n")
      elseif(${TARGET} STREQUAL "fake_quantize")
        file(APPEND ${pybind_file} "USE_OP(fake_quantize_abs_max);\n")
      elseif(${TARGET} STREQUAL "tensorrt_engine_op")
          message(STATUS "Pybind skips [tensorrt_engine_op], for this OP is only used in inference")
      elseif(${TARGET} STREQUAL "fc")
        # HACK: fc only have mkldnn and cpu, which would mismatch the cpu only condition
        file(APPEND ${pybind_file} "USE_CPU_ONLY_OP(${TARGET});\n")
      else()
        file(APPEND ${pybind_file} "USE_OP(${TARGET});\n")
      endif()
    endif()
endfunction()

add_subdirectory(math)
if (NOT WIN32)
add_subdirectory(nccl)
if(WITH_GPU)
    op_library(nccl_op DEPS nccl_common)
    file(APPEND ${pybind_file} "USE_CUDA_ONLY_OP(ncclAllReduce);\n")
else()
    set(DEPS_OPS ${DEPS_OPS} nccl_op)
endif()
endif() # NOT WIN32

set(DISTRIBUTE_DEPS "")
if(WITH_DISTRIBUTE)
    add_subdirectory(distributed)
    set(DISTRIBUTE_DEPS "")
    if(WITH_GRPC)
        set(DISTRIBUTE_DEPS sendrecvop_grpc grpc++_unsecure grpc_unsecure gpr cares zlib protobuf node)
    else()
        set(DISTRIBUTE_DEPS sendrecvop_brpc brpc leveldb snappystream snappy protobuf ssl crypto zlib node)
        if(WITH_BRPC_RDMA)
            find_library(IBVERBS_LIBRARY NAMES ibverbs)
            ADD_LIBRARY(ibverbs SHARED IMPORTED GLOBAL)
            SET_PROPERTY(TARGET ibverbs PROPERTY IMPORTED_LOCATION ${IBVERBS_LIBRARY})


            find_library(RDMACM_LIBRARY NAMES rdmacm)
            ADD_LIBRARY(rdmacm SHARED IMPORTED GLOBAL)
            SET_PROPERTY(TARGET rdmacm PROPERTY IMPORTED_LOCATION ${RDMACM_LIBRARY})

            set(DISTRIBUTE_DEPS ${DISTRIBUTE_DEPS} ibverbs rdmacm)
        endif()
    endif()

    set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
    foreach(dist_op "prefetch_op" "checkpoint_notify_op" "listen_and_serv_op" "send_op" "recv_op" "send_barrier_op" "fetch_barrier_op")
        op_library(${dist_op} DEPS ${DISTRIBUTE_DEPS})
        set_source_files_properties(${dist_op}.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
    endforeach()

    #set_source_files_properties(send_recv_op_test.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
    #cc_test(test_send_recv SRCS send_recv_op_test.cc DEPS prefetch_op send_op
    #        listen_and_serv_op sum_op executor SERIAL)
    if(WITH_GPU AND NOT WIN32)
        set_source_files_properties(test_send_nccl_id.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
        cc_test(test_send_nccl_id SRCS test_send_nccl_id.cc DEPS listen_and_serv_op ${DISTRIBUTE_DEPS} executor SERIAL)
        if(WITH_GRPC)
            op_library(gen_nccl_id_op DEPS nccl_common sendrecvop_grpc)
        else()
            op_library(gen_nccl_id_op DEPS nccl_common sendrecvop_brpc)
        endif()
        set_source_files_properties(gen_nccl_id_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
    else()
        set(DEPS_OPS ${DEPS_OPS} gen_nccl_id_op)
    endif() # WITH_GPU AND NOT WIN32
else()
    set(DEPS_OPS ${DEPS_OPS}  checkpoint_notify_op prefetch_op recv_op listen_and_serv_op send_op send_barrier_op fetch_barrier_op gen_nccl_id_op)
endif()

op_library(cross_entropy_op DEPS cross_entropy)
if(WITH_GPU)
  op_library(softmax_with_cross_entropy_op DEPS cross_entropy softmax cub)
  op_library(sequence_softmax_op DEPS cub)
else()
  op_library(softmax_with_cross_entropy_op DEPS cross_entropy softmax)
endif()

op_library(softmax_op DEPS softmax)
if (WITH_GPU AND TENSORRT_FOUND)
    op_library(tensorrt_engine_op DEPS tensorrt_engine tensorrt_converter)
    file(APPEND ${pybind_file} "USE_CUDA_ONLY_OP(tensorrt_engine);\n")
    nv_test(test_tensorrt_engine_op SRCS tensorrt_engine_op_test.cc
      DEPS tensorrt_engine_op
      analysis)
else()
    set(DEPS_OPS ${DEPS_OPS} tensorrt_engine_op)
endif()
op_library(hash_op DEPS xxhash)
op_library(clip_by_norm_op DEPS selected_rows_functor selected_rows)
op_library(sum_op DEPS selected_rows_functor)
op_library(sgd_op DEPS selected_rows_functor)
op_library(print_op DEPS lod_tensor)
op_library(adagrad_op DEPS selected_rows_functor)
op_library(maxout_op DEPS maxouting)
op_library(unpool_op DEPS unpooling)
op_library(pool_op DEPS pooling)
op_library(pool_with_index_op DEPS pooling)
op_library(lod_rank_table_op DEPS lod_rank_table)
op_library(lod_tensor_to_array_op DEPS lod_rank_table_op)
op_library(array_to_lod_tensor_op DEPS lod_rank_table_op)
op_library(max_sequence_len_op DEPS lod_rank_table)
op_library(sequence_conv_op DEPS context_project)
op_library(sequence_pool_op DEPS sequence_pooling)
if (NOT WIN32)
    op_library(lstm_op DEPS sequence2batch lstm_compute)
    op_library(hierarchical_sigmoid_op DEPS matrix_bit_code)
    op_library(lstmp_op DEPS sequence2batch lstm_compute)
    op_library(gru_op DEPS sequence2batch gru_compute)
endif(NOT WIN32)
op_library(recurrent_op DEPS executor)
op_library(warpctc_op DEPS dynload_warpctc sequence_padding sequence_scale)
op_library(cos_sim_op DEPS cos_sim_functor)
op_library(parallel_do_op DEPS executor)
op_library(unsqueeze_op DEPS reshape_op)
op_library(squeeze_op DEPS reshape_op)
op_library(flatten_op DEPS reshape_op)
op_library(sequence_pad_op DEPS sequence_padding)
op_library(unstack_op DEPS stack_op)
op_library(fake_quantize_op DEPS memory)
op_library(crf_decoding_op DEPS jit_kernel)
op_library(fusion_lstm_op DEPS jit_kernel)
if (WITH_GPU)
    op_library(conv_op DEPS vol2col depthwise_conv im2col)
    op_library(layer_norm_op DEPS cub)
    op_library(reduce_mean_op DEPS cub)
    op_library(affine_channel_op DEPS cub)
else()
    op_library(conv_op DEPS vol2col im2col)
endif()
op_library(conv_transpose_op DEPS vol2col im2col)

# FIXME(typhoonzero): save/load depends lodtensor serialization functions
op_library(save_op DEPS lod_tensor)
op_library(load_op DEPS lod_tensor)
op_library(save_combine_op DEPS lod_tensor)
op_library(load_combine_op DEPS lod_tensor)
op_library(tensor_array_to_tensor_op DEPS concat_op)
op_library(concat_op DEPS concat_and_split)

list(REMOVE_ITEM GENERAL_OPS ${DEPS_OPS})

foreach(src ${GENERAL_OPS})
    op_library(${src})
endforeach()

file(APPEND ${pybind_file} "USE_OP(less_than);\nUSE_OP(logical_and);\nUSE_NO_KERNEL_OP(read_from_array);\n")


if (NOT WIN32)
add_subdirectory(reader)
endif(NOT WIN32)
foreach(src ${READER_LIBRARY})
    set(OP_LIBRARY ${src} ${OP_LIBRARY})
endforeach()

add_subdirectory(detection)
foreach(src ${DETECTION_LIBRARY})
    set(OP_LIBRARY ${src} ${OP_LIBRARY})
endforeach()

set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library")
set(GLOB_DISTRIBUTE_DEPS ${DISTRIBUTE_DEPS} CACHE INTERNAL "distributed dependency")

cc_test(gather_test SRCS gather_test.cc DEPS tensor)
cc_test(scatter_test SRCS scatter_test.cc DEPS tensor)
cc_test(beam_search_decode_op_test SRCS beam_search_decode_op_test.cc DEPS lod_tensor)
cc_test(beam_search_op_test SRCS beam_search_op_test.cc DEPS lod_tensor beam_search_op)
cc_test(strided_memcpy_test SRCS strided_memcpy_test.cc DEPS tensor memory)
cc_test(save_load_op_test SRCS save_load_op_test.cc DEPS save_op load_op)
cc_test(save_load_combine_op_test SRCS save_load_combine_op_test.cc DEPS save_combine_op load_combine_op)
if(NOT WIN32)
    nv_test(nccl_op_test SRCS nccl_op_test.cu.cc DEPS nccl_op gpu_info device_context)
endif()
nv_test(dropout_op_test SRCS dropout_op_test.cc DEPS dropout_op tensor)

if(WITH_GPU)
    foreach(CUDA_KERNEL_FILE ${PART_CUDA_KERNEL_FILES})
        file(READ ${CUDA_KERNEL_FILE} TARGET_CONTENT)
        string(REGEX MATCH "REGISTER_OP_CUDA_KERNEL\\(\\n?([^,]+),.*" MATCHED ${TARGET_CONTENT})
        if (MATCHED)
            string(STRIP ${CMAKE_MATCH_1} MATCHED)
            file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${MATCHED}, CUDA);\n")
        endif()
    endforeach()
endif()