mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-31 23:27:43 +00:00
ba51774a1f
* Added code for Relugrad with GPU support. Signed-off-by: Chethan Palangotu Keshava <chethan.palangotu.keshava@intel.com> * Add GPU support for DNNL ConvGrad Signed-off-by: George Nash <george.nash@intel.com> * Add GPU support for DNNL MaxPoolGrad Updates to MaxPool for training with GPU Update oneDNN to version 1.8.1 Signed-off-by: George Nash <george.nash@intel.com> * Fixed issues found durring code review - error in code comment - using auto when the direct type would have been better - removed ternary operators that were returning bool values Signed-off-by: George Nash <george.nash@intel.com> Co-authored-by: Chethan Palangotu Keshava <chethan.palangotu.keshava@intel.com>
57 lines
2.4 KiB
CMake
57 lines
2.4 KiB
CMake
include (ExternalProject)
|
|
|
|
set(DNNL_URL https://github.com/oneapi-src/onednn)
|
|
# If DNNL_TAG is updated, check if MKLML_VERSION and platform.cmake.patch need to be updated.
|
|
set(DNNL_TAG v1.8.1)
|
|
|
|
if(WIN32)
|
|
set(DNNL_SHARED_LIB dnnl.dll)
|
|
set(DNNL_IMPORT_LIB dnnl.lib)
|
|
else()
|
|
if (APPLE)
|
|
set(DNNL_SHARED_LIB libdnnl.1.dylib)
|
|
else()
|
|
set(DNNL_SHARED_LIB libdnnl.so.1)
|
|
endif()
|
|
endif()
|
|
|
|
if(onnxruntime_USE_DNNL AND onnxruntime_DNNL_GPU_RUNTIME STREQUAL "ocl" AND onnxruntime_DNNL_OPENCL_ROOT STREQUAL "")
|
|
message(FATAL_ERROR "--dnnl_opencl_root required")
|
|
elseif(onnxruntime_USE_DNNL AND onnxruntime_DNNL_GPU_RUNTIME STREQUAL "" AND NOT (onnxruntime_DNNL_OPENCL_ROOT STREQUAL ""))
|
|
message(FATAL_ERROR "--dnnl_gpu_runtime required")
|
|
elseif(onnxruntime_USE_DNNL AND onnxruntime_DNNL_GPU_RUNTIME STREQUAL "ocl" AND NOT (onnxruntime_DNNL_OPENCL_ROOT STREQUAL ""))
|
|
file(TO_CMAKE_PATH ${onnxruntime_DNNL_OPENCL_ROOT} onnxruntime_DNNL_OPENCL_ROOT)
|
|
set(DNNL_OCL_INCLUDE_DIR ${onnxruntime_DNNL_OPENCL_ROOT}/include)
|
|
set(DNNL_GPU_CMAKE_ARGS "-DDNNL_GPU_RUNTIME=OCL " "-DOPENCLROOT=${onnxruntime_DNNL_OPENCL_ROOT}")
|
|
endif()
|
|
|
|
if (onnxruntime_USE_DNNL)
|
|
set(DNNL_SOURCE ${CMAKE_CURRENT_BINARY_DIR}/dnnl/src/dnnl/src)
|
|
set(DNNL_INSTALL ${CMAKE_CURRENT_BINARY_DIR}/dnnl/install)
|
|
set(DNNL_LIB_DIR ${DNNL_INSTALL}/${CMAKE_INSTALL_LIBDIR})
|
|
if(WIN32)
|
|
set(DNNL_DLL_PATH ${DNNL_INSTALL}/${CMAKE_INSTALL_BINDIR}/${DNNL_SHARED_LIB})
|
|
else()
|
|
set(DNNL_DLL_PATH ${DNNL_LIB_DIR}/${DNNL_SHARED_LIB})
|
|
endif()
|
|
set(DNNL_INCLUDE_DIR ${DNNL_INSTALL}/include)
|
|
set(DNNL_CMAKE_EXTRA_ARGS)
|
|
# set(DNNL_PATCH_COMMAND git apply ${CMAKE_SOURCE_DIR}/patches/mkldnn/constexpr.patch)
|
|
# discard prior changes due to patching in mkldnn source to unblock incremental builds.
|
|
# set(MKLDNN_PATCH_DISCARD_COMMAND cd ${DNNL_SOURCE} && git checkout -- .)
|
|
# if(NOT onnxruntime_BUILD_FOR_NATIVE_MACHINE)
|
|
# pre-v1.0
|
|
# list(APPEND DNNL_CMAKE_EXTRA_ARGS "-DARCH_OPT_FLAGS=")
|
|
# v1.0
|
|
# list(APPEND DNNL_CMAKE_EXTRA_ARGS "-DDNNL_ARCH_OPT_FLAGS=")
|
|
# endif()
|
|
ExternalProject_Add(project_dnnl
|
|
PREFIX dnnl
|
|
GIT_REPOSITORY ${DNNL_URL}
|
|
GIT_TAG ${DNNL_TAG}
|
|
# PATCH_COMMAND ${MKLDNN_PATCH_DISCARD_COMMAND} COMMAND ${DNNL_PATCH_COMMAND}
|
|
SOURCE_DIR ${DNNL_SOURCE}
|
|
CMAKE_ARGS -DDNNL_BUILD_TESTS=OFF -DDNNL_BUILD_EXAMPLES=OFF -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE} -DCMAKE_INSTALL_PREFIX=${DNNL_INSTALL} ${DNNL_GPU_CMAKE_ARGS}
|
|
)
|
|
link_directories(${DNNL_LIB_DIR})
|
|
endif()
|