Searched refs:BM_Conv2DWithBatchNorm (Results 1 – 1 of 1) sorted by relevance
/external/tensorflow/tensorflow/core/kernels/ |
D | conv_ops_test.cc | 1362 #define BM_Conv2DWithBatchNorm(N, H, W, C, FW, FH, FC, type, LABEL) \ macro 1363 static void BM_NAME(BM_Conv2DWithBatchNorm, type, N, H, W, C, FW, FH, \ 1369 BENCHMARK(BM_NAME(BM_Conv2DWithBatchNorm, type, N, H, W, C, FW, FH, FC)); 1435 BM_Conv2DWithBatchNorm(8, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 8"); 1436 BM_Conv2DWithBatchNorm(16, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 16"); 1437 BM_Conv2DWithBatchNorm(32, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 32"); 1481 BM_Conv2DWithBatchNorm(8, 32, 32, 128, 3, 3, 1024, cpu, "1x1 /b 8"); 1482 BM_Conv2DWithBatchNorm(16, 32, 32, 128, 3, 3, 1024, cpu, "1x1 /b 16"); 1483 BM_Conv2DWithBatchNorm(32, 32, 32, 128, 3, 3, 1024, cpu, "1x1 /b 32");
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