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Searched refs:BM_Conv2DWithBatchNorm (Results 1 – 1 of 1) sorted by relevance

/external/tensorflow/tensorflow/core/kernels/
Dconv_ops_test.cc1362 #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");