Searched refs:BM_FusedConv2DWithBatchNorm (Results 1 – 1 of 1) sorted by relevance
/external/tensorflow/tensorflow/core/kernels/ |
D | conv_ops_test.cc | 1382 #define BM_FusedConv2DWithBatchNorm(N, H, W, C, FW, FH, FC, type, LABEL) \ macro 1383 static void BM_NAME(BM_FusedConv2DWithBatchNorm, type, N, H, W, C, FW, FH, \ 1390 BENCHMARK(BM_NAME(BM_FusedConv2DWithBatchNorm, type, N, H, W, C, FW, FH, FC)); 1443 BM_FusedConv2DWithBatchNorm(8, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 8"); 1444 BM_FusedConv2DWithBatchNorm(16, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 16"); 1445 BM_FusedConv2DWithBatchNorm(32, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 32"); 1489 BM_FusedConv2DWithBatchNorm(8, 32, 32, 128, 3, 3, 1024, cpu, "1x1 /b 8"); 1490 BM_FusedConv2DWithBatchNorm(16, 32, 32, 128, 3, 3, 1024, cpu, "1x1 /b 16"); 1491 BM_FusedConv2DWithBatchNorm(32, 32, 32, 128, 3, 3, 1024, cpu, "1x1 /b 32");
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