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cuDNN.cmake 3.51 KB
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Andrew Kerr 提交于 2021-02-26 09:58 . CUTLASS 2.5
# Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted
# provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this list of
# conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright notice, this list of
# conditions and the following disclaimer in the documentation and/or other materials
# provided with the distribution.
# * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
# to endorse or promote products derived from this software without specific prior written
# permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
# FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
# STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
if(DEFINED CUDNN_ENABLED)
set(CUTLASS_ENABLE_CUDNN ${CUDNN_ENABLED} CACHE BOOL "Enable CUTLASS to build with cuDNN library.")
endif()
if(DEFINED CUTLASS_ENABLE_CUDNN AND NOT CUTLASS_ENABLE_CUDNN)
return()
endif()
message(STATUS "Configuring cuDNN ...")
find_path(
_CUDNN_INCLUDE_DIR cudnn.h
PATHS
${CUDA_TOOLKIT_ROOT_DIR}/include
$ENV{CUDNN_PATH}/include
$ENV{CUDA_PATH}/include
${CUDNN_PATH}/include
/usr/include)
find_library(
_CUDNN_LIBRARY cudnn
HINTS
${CUDA_TOOLKIT_ROOT_DIR}/lib64
${CUDA_TOOLKIT_ROOT_DIR}/lib/x64
${CUDA_TOOLKIT_ROOT_DIR}/lib
$ENV{CUDNN_PATH}/lib64
$ENV{CUDNN_PATH}/lib/x64
$ENV{CUDNN_PATH}/lib
$ENV{CUDA_PATH}/lib64
$ENV{CUDA_PATH}/lib/x64
$ENV{CUDA_PATH}/lib
${CUDNN_PATH}/lib64
${CUDNN_PATH}/lib/x64
${CUDNN_PATH}/lib
/usr/lib/x86_64-linux-gnu
/usr/lib)
if(_CUDNN_INCLUDE_DIR AND _CUDNN_LIBRARY)
message(STATUS "cuDNN: ${_CUDNN_LIBRARY}")
message(STATUS "cuDNN: ${_CUDNN_INCLUDE_DIR}")
set(CUDNN_FOUND ON CACHE INTERNAL "cuDNN Library Found")
else()
message(STATUS "cuDNN not found.")
set(CUDNN_FOUND OFF CACHE INTERNAL "cuDNN Library Found")
endif()
set(CUTLASS_ENABLE_CUDNN ${CUDNN_FOUND} CACHE BOOL "Enable CUTLASS to build with cuDNN library.")
if (CUTLASS_ENABLE_CUDNN AND NOT TARGET cudnn)
set(CUDNN_INCLUDE_DIR ${_CUDNN_INCLUDE_DIR})
set(CUDNN_LIBRARY ${_CUDNN_LIBRARY})
if(WIN32)
add_library(cudnn STATIC IMPORTED GLOBAL)
else()
add_library(cudnn SHARED IMPORTED GLOBAL)
endif()
add_library(nvidia::cudnn ALIAS cudnn)
set_property(
TARGET cudnn
PROPERTY IMPORTED_LOCATION
${CUDNN_LIBRARY})
target_include_directories(
cudnn
INTERFACE
$<INSTALL_INTERFACE:include>
$<BUILD_INTERFACE:${CUDNN_INCLUDE_DIR}>)
endif()
if(CUTLASS_ENABLE_CUDNN AND NOT CUDNN_FOUND)
message(FATAL_ERROR "CUTLASS_ENABLE_CUDNN enabled but cuDNN library could not be found.")
endif()
message(STATUS "Configuring cuDNN ... done.")
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