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#define EIGEN_USE_GPU |
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#include <cuda.h> |
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#include <cuda_runtime.h> |
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#include <iostream> |
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#include "tensor_benchmarks.h" |
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#define BM_FuncGPU(FUNC) \ |
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static void BM_##FUNC(int iters, int N) { \ |
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StopBenchmarkTiming(); \ |
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Eigen::GpuStreamDevice stream; \ |
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Eigen::GpuDevice device(&stream); \ |
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BenchmarkSuite<Eigen::GpuDevice, float> suite(device, N); \ |
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cudaDeviceSynchronize(); \ |
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suite.FUNC(iters); \ |
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} \ |
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BENCHMARK_RANGE(BM_##FUNC, 10, 5000); |
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BM_FuncGPU(memcpy); |
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BM_FuncGPU(typeCasting); |
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BM_FuncGPU(random); |
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BM_FuncGPU(slicing); |
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BM_FuncGPU(rowChip); |
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BM_FuncGPU(colChip); |
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BM_FuncGPU(shuffling); |
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BM_FuncGPU(padding); |
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BM_FuncGPU(striding); |
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BM_FuncGPU(broadcasting); |
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BM_FuncGPU(coeffWiseOp); |
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BM_FuncGPU(algebraicFunc); |
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BM_FuncGPU(transcendentalFunc); |
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BM_FuncGPU(rowReduction); |
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BM_FuncGPU(colReduction); |
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BM_FuncGPU(fullReduction); |
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#define BM_FuncWithInputDimsGPU(FUNC, D1, D2, D3) \ |
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static void BM_##FUNC##_##D1##x##D2##x##D3(int iters, int N) { \ |
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StopBenchmarkTiming(); \ |
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Eigen::GpuStreamDevice stream; \ |
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Eigen::GpuDevice device(&stream); \ |
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BenchmarkSuite<Eigen::GpuDevice, float> suite(device, D1, D2, D3); \ |
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cudaDeviceSynchronize(); \ |
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suite.FUNC(iters); \ |
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} \ |
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BENCHMARK_RANGE(BM_##FUNC##_##D1##x##D2##x##D3, 10, 5000); |
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BM_FuncWithInputDimsGPU(contraction, N, N, N); |
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BM_FuncWithInputDimsGPU(contraction, 64, N, N); |
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BM_FuncWithInputDimsGPU(contraction, N, 64, N); |
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BM_FuncWithInputDimsGPU(contraction, N, N, 64); |
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#define BM_FuncWithKernelDimsGPU(FUNC, DIM1, DIM2) \ |
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static void BM_##FUNC##_##DIM1##x##DIM2(int iters, int N) { \ |
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StopBenchmarkTiming(); \ |
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Eigen::GpuStreamDevice stream; \ |
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Eigen::GpuDevice device(&stream); \ |
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BenchmarkSuite<Eigen::GpuDevice, float> suite(device, N); \ |
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cudaDeviceSynchronize(); \ |
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suite.FUNC(iters, DIM1, DIM2); \ |
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} \ |
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BENCHMARK_RANGE(BM_##FUNC##_##DIM1##x##DIM2, 128, 5000); |
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BM_FuncWithKernelDimsGPU(convolution, 7, 1); |
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BM_FuncWithKernelDimsGPU(convolution, 1, 7); |
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BM_FuncWithKernelDimsGPU(convolution, 7, 4); |
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BM_FuncWithKernelDimsGPU(convolution, 4, 7); |
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BM_FuncWithKernelDimsGPU(convolution, 7, 64); |
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BM_FuncWithKernelDimsGPU(convolution, 64, 7); |
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