877bdcace6
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
77 lines
2.9 KiB
CMake
77 lines
2.9 KiB
CMake
# Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without modification, are permitted
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# provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright notice, this list of
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# conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice, this list of
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# conditions and the following disclaimer in the documentation and/or other materials
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# provided with the distribution.
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# * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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# to endorse or promote products derived from this software without specific prior written
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# permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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# FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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# STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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include_directories(
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.
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)
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set(CUTLASS_PERF_TEST_HEADERS
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testbench_output.h
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performance_result.h
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gemm/cublas_dispatch.h
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gemm/cutlass_dispatch.h
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gemm/cutlass_dispatch_splitK_PI.h
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gemm/gemm_perf_testbed.h
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gemm/gemm_profiler.h
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gemm/cutlass_volta884_dispatch.h
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gemm/cutlass_volta884_dispatch_splitK_PI.h
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)
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set(CUTLASS_PERF_TEST_SOURCES
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cutlass_perf_test.cu
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gemm/sgemm.cu
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gemm/sgemm_splitK.cu
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gemm/dgemm.cu
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gemm/hgemm.cu
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gemm/igemm.cu
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gemm/igemm_splitK.cu
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gemm/wmma_gemm.cu
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gemm/volta884_gemm.cu
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gemm/volta884_gemm_splitK.cu
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gemm/volta884_gemm_cta_rasterization_tn.cu
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gemm/volta884_gemm_cta_rasterization_tt.cu
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gemm/volta884_gemm_cta_rasterization_nn.cu
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gemm/volta884_gemm_cta_rasterization_nt.cu
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gemm/wmma_binary_gemm.cu
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gemm/wmma_integer_gemm.cu
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)
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source_group("Source\ Files" FILES ${CUTLASS_PERF_TEST_SOURCES})
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if(NOT CUTLASS_NATIVE_CUDA)
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# cuda_add_executable does not take interface include directories into account
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# Let's fetch them and pass them to CUDA.
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get_target_property(CUTLASS_INCLUDES CUTLASS INTERFACE_INCLUDE_DIRECTORIES)
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include_directories("${CUTLASS_INCLUDES}")
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endif()
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cutlass_add_executable(
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cutlass_perf_test
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${CUTLASS_PERF_TEST_SOURCES}
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${CUTLASS_PERF_TEST_HEADERS}
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)
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if(CUTLASS_ENABLE_CUBLAS)
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target_link_libraries(cutlass_perf_test ${CUBLAS_LIBRARY})
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endif()
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