Searched refs:BM_Conv2D (Results 1 – 2 of 2) sorted by relevance
/external/tensorflow/tensorflow/core/kernels/ |
D | mkl_conv_ops_test.cc | 327 #define BM_Conv2D(N, H, W, C, FC, FH, FW, type, LABEL) \ macro 331 #define BM_Conv2D(N, H, W, C, FC, FH, FW, type, LABEL) \ macro 383 BM_Conv2D(32, 28, 28, 96, 128, 3, 3, cpu, "conv3a_00_3x3"); 384 BM_Conv2D(32, 28, 28, 16, 32, 5, 5, cpu, "conv3a_00_5x5"); 385 BM_Conv2D(32, 28, 28, 128, 192, 3, 3, cpu, "conv3_00_3x3"); 386 BM_Conv2D(32, 28, 28, 32, 96, 5, 5, cpu, "conv3_00_5x5"); 387 BM_Conv2D(32, 14, 14, 96, 204, 3, 3, cpu, "conv4a_00_3x3"); 388 BM_Conv2D(32, 14, 14, 16, 48, 5, 5, cpu, "conv4a_00_5x5"); 389 BM_Conv2D(32, 14, 14, 112, 224, 3, 3, cpu, "conv4b_00_3x3");
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D | conv_ops_test.cc | 1315 #define BM_Conv2D(N, H, W, C, FW, FH, FC, type, LABEL) \ macro 1316 static void BM_NAME(BM_Conv2D, type, N, H, W, C, FW, FH, FC)(int iters) { \ 1320 BENCHMARK(BM_NAME(BM_Conv2D, type, N, H, W, C, FW, FH, FC)); 1411 BM_Conv2D(8, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 8"); 1412 BM_Conv2D(16, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 16"); 1413 BM_Conv2D(32, 32, 32, 128, 1, 1, 1024, cpu, "1x1 /b 32"); 1457 BM_Conv2D(8, 32, 32, 128, 3, 3, 1024, cpu, "3x3 /b 8"); 1458 BM_Conv2D(16, 32, 32, 128, 3, 3, 1024, cpu, "3x3 /b 16"); 1459 BM_Conv2D(32, 32, 32, 128, 3, 3, 1024, cpu, "3x3 /b 32"); 1504 BM_Conv2D(8, 32, 32, 128, 1, 1, 1024, gpu, "1x1 /b 8"); [all …]
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