/
operators.cmake
540 lines (511 loc) · 24 KB
/
operators.cmake
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# CMake file `unity_build` is used to handle Unity Build compilation.
include(unity_build)
set(PART_CUDA_KERNEL_FILES)
function(find_register FILENAME PATTERN OUTPUT)
# find the op_name of REGISTER_OPERATOR(op_name, ...), REGISTER_OP_CPU_KERNEL(op_name, ...) , etc.
# set op_name to OUTPUT
set(options "")
set(oneValueArgs "")
set(multiValueArgs "")
file(READ ${FILENAME} CONTENT)
# message ("number of arguments sent to function: ${ARGC}")
# message ("all function arguments: ${ARGV}")
# message("PATTERN ${PATTERN}")
string(REGEX MATCH "${PATTERN}\\([ \t\r\n]*[a-z0-9_]*," register "${CONTENT}")
if (NOT register STREQUAL "")
string(REPLACE "${PATTERN}(" "" register "${register}")
string(REPLACE "," "" register "${register}")
# [ \t\r\n]+ is used for blank characters.
# Here we use '+' instead of '*' since it is a REPLACE operation.
string(REGEX REPLACE "[ \t\r\n]+" "" register "${register}")
endif()
set(${OUTPUT} ${register} PARENT_SCOPE)
endfunction()
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_srcs)
set(cu_cc_srcs)
set(hip_cc_srcs)
set(xpu_cc_srcs)
set(xpu_kp_cc_srcs)
set(npu_cc_srcs)
set(mlu_cc_srcs)
set(cudnn_cu_cc_srcs)
set(miopen_cu_cc_srcs)
set(cudnn_cu_srcs)
set(miopen_cu_srcs)
set(CUDNN_FILE)
set(MIOPEN_FILE)
set(mkldnn_cc_srcs)
set(MKLDNN_FILE)
set(op_common_deps operator op_registry math_function layer common_infer_shape_functions)
if (WITH_ASCEND_CL)
set(op_common_deps ${op_common_deps} npu_op_runner)
endif()
if (WITH_MLU)
set(op_common_deps ${op_common_deps} mlu_baseop)
endif()
# Option `UNITY` is used to specify that operator `TARGET` will compiles with Unity Build.
set(options UNITY)
set(oneValueArgs "")
set(multiValueArgs SRCS DEPS)
set(pybind_flag 0)
cmake_parse_arguments(op_library "${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(WITH_GPU)
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()
# rename in KP: .kps -> .cu
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.kps)
file(COPY ${TARGET}.kps DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
file(RENAME ${CMAKE_CURRENT_BINARY_DIR}/${TARGET}.kps ${CMAKE_CURRENT_BINARY_DIR}/${TARGET}.cu)
list(APPEND cu_srcs ${CMAKE_CURRENT_BINARY_DIR}/${TARGET}.cu)
endif()
if (WITH_NV_JETSON)
list(REMOVE_ITEM cu_srcs "decode_jpeg_op.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()
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 (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${CUDNN_FILE}.cu)
list(APPEND cudnn_cu_srcs ${CUDNN_FILE}.cu)
endif()
endif()
if(WITH_ROCM)
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cu.cc)
list(APPEND hip_cc_srcs ${TARGET}.cu.cc)
endif()
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.cu)
list(APPEND hip_srcs ${TARGET}.cu)
endif()
# rename in KP: .kps -> .cu
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.kps)
file(COPY ${TARGET}.kps DESTINATION ${CMAKE_CURRENT_BINARY_DIR})
file(RENAME ${CMAKE_CURRENT_BINARY_DIR}/${TARGET}.kps ${CMAKE_CURRENT_BINARY_DIR}/${TARGET}.cu)
list(APPEND hip_srcs ${CMAKE_CURRENT_BINARY_DIR}/${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 hip_srcs ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.part.cu)
endif()
string(REPLACE "_op" "_cudnn_op" MIOPEN_FILE "${TARGET}")
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MIOPEN_FILE}.cu.cc)
list(APPEND miopen_cu_cc_srcs ${MIOPEN_FILE}.cu.cc)
endif()
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MIOPEN_FILE}.cu)
list(APPEND miopen_cu_srcs ${MIOPEN_FILE}.cu)
endif()
endif()
if(WITH_MKLDNN)
string(REPLACE "_op" "_mkldnn_op" MKLDNN_FILE "${TARGET}")
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/mkldnn/${MKLDNN_FILE}.cc)
list(APPEND mkldnn_cc_srcs mkldnn/${MKLDNN_FILE}.cc)
endif()
endif()
if(WITH_XPU)
string(REPLACE "_op" "_op_xpu" XPU_FILE "${TARGET}")
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${XPU_FILE}.cc)
list(APPEND xpu_cc_srcs ${XPU_FILE}.cc)
endif()
endif()
if(WITH_XPU_KP)
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.xpu)
list(APPEND xpu_kp_cc_srcs ${TARGET}.xpu)
endif()
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${TARGET}.kps)
list(APPEND xpu_kp_cc_srcs ${TARGET}.kps)
endif()
endif()
if(WITH_ASCEND_CL)
string(REPLACE "_op" "_op_npu" NPU_FILE "${TARGET}")
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${NPU_FILE}.cc)
list(APPEND npu_cc_srcs ${NPU_FILE}.cc)
endif()
endif()
if(WITH_MLU)
string(REPLACE "_op" "_op_mlu" MLU_FILE "${TARGET}")
if (EXISTS ${CMAKE_CURRENT_SOURCE_DIR}/${MLU_FILE}.cc)
list(APPEND mlu_cc_srcs ${MLU_FILE}.cc)
endif()
endif()
else()
foreach(src ${op_library_SRCS})
if(WITH_ROCM AND ${src} MATCHES ".*_cudnn_op.cu$")
list(APPEND miopen_cu_srcs ${src})
elseif(WITH_ROCM AND ${src} MATCHES ".*\\.cu$")
list(APPEND hip_srcs ${src})
elseif(WITH_ROCM AND ${src} MATCHES ".*_cudnn_op.cu.cc$")
list(APPEND miopen_cu_cc_srcs ${src})
elseif(WITH_ROCM AND ${src} MATCHES ".*\\.cu.cc$")
list(APPEND hip_cc_srcs ${src})
elseif(WITH_GPU AND ${src} MATCHES ".*_cudnn_op.cu$")
list(APPEND cudnn_cu_srcs ${src})
elseif (WITH_GPU AND ${src} MATCHES ".*\\.cu$")
list(APPEND cu_srcs ${src})
elseif(WITH_GPU AND ${src} MATCHES ".*_cudnn_op.cu.cc$")
list(APPEND cudnn_cu_cc_srcs ${src})
elseif(WITH_GPU AND ${src} MATCHES ".*\\.cu.cc$")
list(APPEND cu_cc_srcs ${src})
elseif(WITH_MKLDNN AND ${src} MATCHES ".*_mkldnn_op.cc$")
list(APPEND mkldnn_cc_srcs ${src})
elseif(WITH_XPU AND ${src} MATCHES ".*_op_xpu.cc$")
list(APPEND xpu_cc_srcs ${src})
elseif(WITH_XPU_KP AND ${src} MATCHES ".*\\.xpu$")
list(APPEND xpu_kp_cc_srcs ${src})
elseif(WITH_XPU_KP AND ${src} MATCHES ".*\\.kps$")
list(APPEND xpu_kp_cc_srcs ${src})
elseif(WITH_ASCEND_CL AND ${src} MATCHES ".*_op_npu.cc$")
list(APPEND npu_cc_srcs ${src})
elseif(WITH_MLU AND ${src} MATCHES ".*_op_mlu.cc$")
list(APPEND mlu_cc_srcs ${src})
elseif(${src} MATCHES ".*\\.cc$")
list(APPEND cc_srcs ${src})
else()
message(FATAL_ERROR "${TARGET} Source file ${src} should only be .cc or .cu or .xpu")
endif()
endforeach()
endif()
list(LENGTH xpu_cc_srcs xpu_cc_srcs_len)
list(LENGTH xpu_kp_cc_srcs xpu_kp_cc_srcs_len)
list(LENGTH cc_srcs cc_srcs_len)
if (${cc_srcs_len} EQUAL 0)
message(FATAL_ERROR "The op library ${TARGET} should contains at least one .cc file")
endif()
if (WIN32)
# remove windows unsupported op, because windows has no nccl, no warpctc such ops.
foreach(windows_unsupport_op "nccl_op" "gen_nccl_id_op")
if ("${TARGET}" STREQUAL "${windows_unsupport_op}")
return()
endif()
endforeach()
endif(WIN32)
# Unity Build relies on global option `WITH_UNITY_BUILD` and local option `UNITY`.
if(WITH_UNITY_BUILD AND op_library_UNITY)
# Generate the unity target name by the directory where source files located.
string(REPLACE "${PADDLE_SOURCE_DIR}/paddle/fluid/" "" UNITY_TARGET ${CMAKE_CURRENT_SOURCE_DIR})
string(REPLACE "/" "_" UNITY_TARGET ${UNITY_TARGET})
set(UNITY_TARGET "paddle_${UNITY_TARGET}_unity")
if(NOT ${UNITY_TARGET} IN_LIST OP_LIBRARY)
set(OP_LIBRARY ${UNITY_TARGET} ${OP_LIBRARY} CACHE INTERNAL "op libs")
endif()
else()
set(OP_LIBRARY ${TARGET} ${OP_LIBRARY} CACHE INTERNAL "op libs")
endif()
list(LENGTH op_library_DEPS op_library_DEPS_len)
if (${op_library_DEPS_len} GREATER 0)
set(DEPS_OPS ${TARGET} ${DEPS_OPS} PARENT_SCOPE)
endif()
if (WITH_GPU)
# Unity Build relies on global option `WITH_UNITY_BUILD` and local option `UNITY`.
if(WITH_UNITY_BUILD AND op_library_UNITY)
# Combine the cc and cu source files.
compose_unity_target_sources(${UNITY_TARGET} cc ${cc_srcs} ${cu_cc_srcs} ${cudnn_cu_cc_srcs} ${mkldnn_cc_srcs})
compose_unity_target_sources(${UNITY_TARGET} cu ${cudnn_cu_srcs} ${cu_srcs})
if(TARGET ${UNITY_TARGET})
# If `UNITY_TARGET` exists, add source files to `UNITY_TARGET`.
target_sources(${UNITY_TARGET} PRIVATE ${unity_target_cc_sources} ${unity_target_cu_sources})
else()
# If `UNITY_TARGET` does not exist, create `UNITY_TARGET` with source files.
nv_library(${UNITY_TARGET} SRCS ${unity_target_cc_sources} ${unity_target_cu_sources} DEPS ${op_library_DEPS} ${op_common_deps})
endif()
# Add alias library to handle dependencies.
add_library(${TARGET} ALIAS ${UNITY_TARGET})
else()
nv_library(${TARGET} SRCS ${cc_srcs} ${cu_cc_srcs} ${cudnn_cu_cc_srcs} ${cudnn_cu_srcs} ${mkldnn_cc_srcs} ${cu_srcs} DEPS ${op_library_DEPS}
${op_common_deps})
endif()
elseif (WITH_ROCM)
list(REMOVE_ITEM miopen_cu_cc_srcs "affine_grid_cudnn_op.cu.cc")
list(REMOVE_ITEM miopen_cu_cc_srcs "grid_sampler_cudnn_op.cu.cc")
list(REMOVE_ITEM hip_srcs "cholesky_op.cu")
list(REMOVE_ITEM hip_srcs "cholesky_solve_op.cu")
list(REMOVE_ITEM hip_srcs "lu_op.cu")
list(REMOVE_ITEM hip_srcs "matrix_rank_op.cu")
list(REMOVE_ITEM hip_srcs "svd_op.cu")
list(REMOVE_ITEM hip_srcs "eigvalsh_op.cu")
list(REMOVE_ITEM hip_srcs "qr_op.cu")
list(REMOVE_ITEM hip_srcs "eigh_op.cu")
list(REMOVE_ITEM hip_srcs "lstsq_op.cu")
list(REMOVE_ITEM hip_srcs "multinomial_op.cu")
list(REMOVE_ITEM hip_srcs "decode_jpeg_op.cu")
hip_library(${TARGET} SRCS ${cc_srcs} ${hip_cc_srcs} ${miopen_cu_cc_srcs} ${miopen_cu_srcs} ${mkldnn_cc_srcs} ${hip_srcs} DEPS ${op_library_DEPS}
${op_common_deps})
elseif (WITH_XPU_KP AND ${xpu_kp_cc_srcs_len} GREATER 0)
xpu_library(${TARGET} SRCS ${cc_srcs} ${mkldnn_cc_srcs} ${xpu_cc_srcs} ${xpu_kp_cc_srcs} DEPS ${op_library_DEPS} ${op_common_deps})
else()
# deal with CANN version control while registering NPU operators before build
if (WITH_ASCEND_CL)
if (CANN_VERSION LESS 504000)
list(REMOVE_ITEM npu_cc_srcs "multinomial_op_npu.cc")
list(REMOVE_ITEM npu_cc_srcs "take_along_axis_op_npu.cc")
endif()
endif()
# Unity Build relies on global option `WITH_UNITY_BUILD` and local option `UNITY`.
if(WITH_UNITY_BUILD AND op_library_UNITY)
# Combine the cc source files.
compose_unity_target_sources(${UNITY_TARGET} cc ${cc_srcs} ${mkldnn_cc_srcs} ${xpu_cc_srcs} ${npu_cc_srcs} ${mlu_cc_srcs})
if(TARGET ${UNITY_TARGET})
# If `UNITY_TARGET` exists, add source files to `UNITY_TARGET`.
target_sources(${UNITY_TARGET} PRIVATE ${unity_target_cc_sources})
else()
# If `UNITY_TARGET` does not exist, create `UNITY_TARGET` with source files.
cc_library(${UNITY_TARGET} SRCS ${unity_target_cc_sources} DEPS ${op_library_DEPS} ${op_common_deps})
endif()
# Add alias library to handle dependencies.
add_library(${TARGET} ALIAS ${UNITY_TARGET})
else()
cc_library(${TARGET} SRCS ${cc_srcs} ${mkldnn_cc_srcs} ${xpu_cc_srcs} ${npu_cc_srcs} ${mlu_cc_srcs} DEPS ${op_library_DEPS}
${op_common_deps})
endif()
endif()
list(LENGTH cu_srcs cu_srcs_len)
list(LENGTH hip_srcs hip_srcs_len)
list(LENGTH cu_cc_srcs cu_cc_srcs_len)
list(LENGTH hip_cc_srcs hip_cc_srcs_len)
list(LENGTH mkldnn_cc_srcs mkldnn_cc_srcs_len)
list(LENGTH xpu_cc_srcs xpu_cc_srcs_len)
list(LENGTH miopen_cu_cc_srcs miopen_cu_cc_srcs_len)
list(LENGTH npu_cc_srcs npu_cc_srcs_len)
list(LENGTH mlu_cc_srcs mlu_cc_srcs_len)
# Define operators that don't need pybind here.
foreach(manual_pybind_op "compare_all_op" "compare_op" "logical_op" "bitwise_op" "nccl_op"
"tensor_array_read_write_op" "tensorrt_engine_op" "conv_fusion_op")
if ("${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.
set(ORIGINAL_TARGET ${TARGET})
string(REGEX REPLACE "_op" "" TARGET "${TARGET}")
foreach(cc_src ${cc_srcs})
# pybind USE_OP_ITSELF
set(op_name "")
find_register(${cc_src} "REGISTER_OPERATOR" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_ITSELF(${op_name});\n")
# hack: for example, the target in conv_transpose_op.cc is conv2d_transpose, used in mkldnn
set(TARGET ${op_name})
set(pybind_flag 1)
endif()
set(op_name "")
find_register(${cc_src} "REGISTER_OP_WITHOUT_GRADIENT" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_ITSELF(${op_name});\n")
# hack: for example, the target in conv_transpose_op.cc is conv2d_transpose, used in mkldnn
set(TARGET ${op_name})
set(pybind_flag 1)
endif()
# pybind USE_OP_DEVICE_KERNEL for CPU
set(op_name "")
find_register(${cc_src} "REGISTER_OP_CPU_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, CPU);\n")
# why change TARGET here?
# when building padle with on_infer, the REGISTER_OPERATOR(*_grad) will be removed before compiling (see details in remove_grad_op_and_kernel.py)
# in elementwise_op.cc, it will find REGISTER_OPERATOR(grad_add) and set TARGET to grad_add
# and, in the following "mkldnn" part, it will add USE_OP_DEVICE_KERNEL(grad_add, MKLDNN) to pybind.h
# however, grad_add has no mkldnn kernel.
set(TARGET ${op_name})
set(pybind_flag 1)
endif()
endforeach()
# pybind USE_OP_DEVICE_KERNEL for CUDA
list (APPEND cu_srcs ${cu_cc_srcs})
# message("cu_srcs ${cu_srcs}")
foreach(cu_src ${cu_srcs})
set(op_name "")
find_register(${cu_src} "REGISTER_OP_CUDA_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, CUDA);\n")
set(pybind_flag 1)
endif()
endforeach()
# pybind USE_OP_DEVICE_KERNEL for ROCm
list (APPEND hip_srcs ${hip_cc_srcs})
# message("hip_srcs ${hip_srcs}")
foreach(hip_src ${hip_srcs})
set(op_name "")
find_register(${hip_src} "REGISTER_OP_CUDA_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, CUDA);\n")
set(pybind_flag 1)
endif()
endforeach()
# pybind USE_OP_DEVICE_KERNEL for CUDNN/MIOPEN
list(APPEND cudnn_cu_srcs ${cudnn_cu_cc_srcs})
list(APPEND cudnn_cu_srcs ${miopen_cu_cc_srcs})
list(APPEND cudnn_cu_srcs ${miopen_cu_srcs})
list(LENGTH cudnn_cu_srcs cudnn_cu_srcs_len)
#message("cudnn_cu_srcs ${cudnn_cu_srcs}")
if(${cudnn_cu_srcs_len} GREATER 0 AND ${ORIGINAL_TARGET} STREQUAL "activation_op")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(relu, CUDNN);\n")
else()
foreach(cudnn_src ${cudnn_cu_srcs})
set(op_name "")
find_register(${cudnn_src} "REGISTER_OP_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, CUDNN);\n")
set(pybind_flag 1)
endif()
endforeach()
endif()
if (WITH_XPU AND ${xpu_cc_srcs_len} GREATER 0)
if(${ORIGINAL_TARGET} STREQUAL "activation_op")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(relu, XPU);\n")
else()
foreach(xpu_src ${xpu_cc_srcs})
set(op_name "")
find_register(${xpu_src} "REGISTER_OP_XPU_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, XPU);\n")
set(pybind_flag 1)
else()
find_register(${xpu_src} "REGISTER_OP_XPU_KERNEL_FUNCTOR" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, XPU);\n")
set(pybind_flag 1)
endif()
endif()
endforeach()
endif()
endif()
# pybind USE_OP_DEVICE_KERNEL for XPU KP
if (WITH_XPU_KP AND ${xpu_kp_cc_srcs_len} GREATER 0)
foreach(xpu_kp_src ${xpu_kp_cc_srcs})
set(op_name "")
find_register(${xpu_kp_src} "REGISTER_OP_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, KP);\n")
message(STATUS "Building KP Target: ${op_name}")
set(pybind_flag 1)
endif()
endforeach()
endif()
# pybind USE_OP_DEVICE_KERNEL for NPU
if (WITH_ASCEND_CL AND ${npu_cc_srcs_len} GREATER 0)
foreach(npu_src ${npu_cc_srcs})
set(op_name "")
find_register(${npu_src} "REGISTER_OP_NPU_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, NPU);\n")
set(pybind_flag 1)
endif()
endforeach()
endif()
# pybind USE_OP_DEVICE_KERNEL for MLU
if (WITH_MLU AND ${mlu_cc_srcs_len} GREATER 0)
foreach(mlu_src ${mlu_cc_srcs})
set(op_name "")
find_register(${mlu_src} "REGISTER_OP_MLU_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, MLU);\n")
set(pybind_flag 1)
endif()
endforeach()
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 ${pybind_file} "USE_OP_DEVICE_KERNEL(relu, MKLDNN);\n")
elseif(${MKLDNN_FILE} STREQUAL "conv_mkldnn_op")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(conv2d, MKLDNN, FP32);\n")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(conv2d, MKLDNN, S8);\n")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(conv2d, MKLDNN, U8);\n")
elseif(${MKLDNN_FILE} STREQUAL "transpose_mkldnn_op")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(transpose2, MKLDNN, FP32);\n")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(transpose2, MKLDNN, S8);\n")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(transpose2, MKLDNN, U8);\n")
elseif(${MKLDNN_FILE} STREQUAL "fc_mkldnn_op")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(fc, MKLDNN, FP32);\n")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(fc, MKLDNN, S8);\n")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL_WITH_CUSTOM_TYPE(fc, MKLDNN, U8);\n")
else()
foreach(mkldnn_src ${mkldnn_cc_srcs})
set(op_name "")
find_register(${mkldnn_src} "REGISTER_OP_KERNEL" op_name)
if(NOT ${op_name} EQUAL "")
file(APPEND ${pybind_file} "USE_OP_DEVICE_KERNEL(${op_name}, MKLDNN);\n")
set(pybind_flag 1)
endif()
endforeach()
endif()
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_OP
if (${pybind_flag} EQUAL 0)
# NOTE(*): activation use macro to regist the kernels, set use_op manually.
if(${TARGET} STREQUAL "activation")
file(APPEND ${pybind_file} "USE_OP_ITSELF(relu);\n")
elseif(${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")
else()
file(APPEND ${pybind_file} "USE_OP(${TARGET});\n")
endif()
endif()
endfunction()
function(register_operators)
set(options "")
set(oneValueArgs "")
set(multiValueArgs EXCLUDES DEPS)
cmake_parse_arguments(register_operators "${options}" "${oneValueArgs}"
"${multiValueArgs}" ${ARGN})
file(GLOB OPS RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*_op.cc")
string(REPLACE "_mkldnn" "" OPS "${OPS}")
string(REPLACE "_xpu" "" OPS "${OPS}")
string(REPLACE "_npu" "" OPS "${OPS}")
string(REPLACE "_mlu" "" OPS "${OPS}")
string(REPLACE ".cc" "" OPS "${OPS}")
list(REMOVE_DUPLICATES OPS)
list(LENGTH register_operators_DEPS register_operators_DEPS_len)
foreach(src ${OPS})
list(FIND register_operators_EXCLUDES ${src} _index)
if (${_index} EQUAL -1)
if (${register_operators_DEPS_len} GREATER 0)
op_library(${src} UNITY DEPS ${register_operators_DEPS})
else()
op_library(${src} UNITY)
endif()
endif()
endforeach()
# Complete the processing of `UNITY_TARGET`.
if(WITH_UNITY_BUILD)
finish_unity_target(cc)
if(WITH_GPU)
finish_unity_target(cu)
endif()
endif()
endfunction()