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dlma/eigen-3.4.0/bench/tensors/tensor_benchmarks_fp16_gpu.cu
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tensor_benchmarks_fp16_gpu.cu
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#define EIGEN_USE_GPU
#include <cuda.h>
#include <cuda_runtime.h>
#include <iostream>
#include "tensor_benchmarks.h"
// Simple functions
#define BM_FuncGPU(FUNC) \
static void BM_##FUNC(int iters, int N) { \
StopBenchmarkTiming(); \
Eigen::CudaStreamDevice stream; \
Eigen::GpuDevice device(&stream); \
BenchmarkSuite<Eigen::GpuDevice, Eigen::half> suite(device, N); \
cudaDeviceSynchronize(); \
suite.FUNC(iters); \
} \
BENCHMARK_RANGE(BM_##FUNC, 10, 5000);
BM_FuncGPU(memcpy);
BM_FuncGPU(typeCasting);
//BM_FuncGPU(random);
BM_FuncGPU(slicing);
BM_FuncGPU(rowChip);
BM_FuncGPU(colChip);
BM_FuncGPU(shuffling);
BM_FuncGPU(padding);
BM_FuncGPU(striding);
BM_FuncGPU(broadcasting);
BM_FuncGPU(coeffWiseOp);
BM_FuncGPU(algebraicFunc);
BM_FuncGPU(transcendentalFunc);
BM_FuncGPU(rowReduction);
BM_FuncGPU(colReduction);
BM_FuncGPU(fullReduction);
// Contractions
#define BM_FuncWithInputDimsGPU(FUNC, D1, D2, D3) \
static void BM_##FUNC##_##D1##x##D2##x##D3(int iters, int N) { \
StopBenchmarkTiming(); \
Eigen::CudaStreamDevice stream; \
Eigen::GpuDevice device(&stream); \
BenchmarkSuite<Eigen::GpuDevice, Eigen::half> suite(device, D1, D2, D3); \
cudaDeviceSynchronize(); \
suite.FUNC(iters); \
} \
BENCHMARK_RANGE(BM_##FUNC##_##D1##x##D2##x##D3, 10, 5000);
BM_FuncWithInputDimsGPU(contraction, N, N, N);
BM_FuncWithInputDimsGPU(contraction, 64, N, N);
BM_FuncWithInputDimsGPU(contraction, N, 64, N);
BM_FuncWithInputDimsGPU(contraction, N, N, 64);
// Convolutions
#define BM_FuncWithKernelDimsGPU(FUNC, DIM1, DIM2) \
static void BM_##FUNC##_##DIM1##x##DIM2(int iters, int N) { \
StopBenchmarkTiming(); \
Eigen::CudaStreamDevice stream; \
Eigen::GpuDevice device(&stream); \
BenchmarkSuite<Eigen::GpuDevice, Eigen::half> suite(device, N); \
cudaDeviceSynchronize(); \
suite.FUNC(iters, DIM1, DIM2); \
} \
BENCHMARK_RANGE(BM_##FUNC##_##DIM1##x##DIM2, 128, 5000);
/*
BM_FuncWithKernelDimsGPU(convolution, 7, 1);
BM_FuncWithKernelDimsGPU(convolution, 1, 7);
BM_FuncWithKernelDimsGPU(convolution, 7, 4);
BM_FuncWithKernelDimsGPU(convolution, 4, 7);
BM_FuncWithKernelDimsGPU(convolution, 7, 64);
BM_FuncWithKernelDimsGPU(convolution, 64, 7);
*/
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