Searched refs:BM_Conv2DWithBatchNormAndRelu (Results 1 – 1 of 1) sorted by relevance
| /external/tensorflow/tensorflow/core/kernels/ |
| D | conv_ops_test.cc | 1371 #define BM_Conv2DWithBatchNormAndRelu(N, H, W, C, FW, FH, FC, type, LABEL) \ macro
1372 static void BM_NAME(BM_Conv2DWithBatchNormAndRelu, type, N, H, W, C, FW, FH, \
1380 BM_NAME(BM_Conv2DWithBatchNormAndRelu, type, N, H, W, C, FW, FH, FC));
1439 BM_Conv2DWithBatchNormAndRelu(8, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 8");
1440 BM_Conv2DWithBatchNormAndRelu(16, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 16");
1441 BM_Conv2DWithBatchNormAndRelu(32, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 32");
1485 BM_Conv2DWithBatchNormAndRelu(8, 32, 32, 128, 3, 3, 1024, cpu, "3x3 /b 8");
1486 BM_Conv2DWithBatchNormAndRelu(16, 32, 32, 128, 3, 3, 1024, cpu, "3x3 /b 16");
1487 BM_Conv2DWithBatchNormAndRelu(32, 32, 32, 128, 3, 3, 1024, cpu, "3x3 /b 32");
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