| /external/tensorflow/tensorflow/core/kernels/ | 
| D | eigen_benchmark_cpu_test.cc | 120 #define BM_SPATIAL_NAME(prefix, NT, N, H, W, C, FC, FH, FW) \  argument 123 #define BM_SpatialConvolution(NT, N, H, W, C, FC, FH, FW, LABEL)          \  argument 131 #define BM_SpatialConvolutionBwdInput(NT, N, H, W, C, FC, FH, FW, LABEL)      \  argument 140 #define BM_SpatialConvolutionBwdKernel(NT, N, H, W, C, FC, FH, FW, LABEL)      \  argument 149 #define BM_SpatialConvolutions(N, H, W, C, FC, FH, FW, LABEL) \  argument 155 #define BM_SpatialConvolutionsBwdInput(N, H, W, C, FC, FH, FW, LABEL) \  argument 161 #define BM_SpatialConvolutionsBwdKernel(N, H, W, C, FC, FH, FW, LABEL) \  argument 351 #define BM_CUBOID_NAME(p, NT, N, H, W, P, C, FC, FH, FW, FP)     \  argument 355 #define BM_CuboidConvolution(NT, N, H, W, P, C, FC, FH, FW, FP, LABEL)         \  argument 363 #define BM_CuboidConvolutionBwdInput(NT, N, H, W, P, C, FC, FH, FW, FP, LABEL) \  argument [all …] 
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| D | conv_ops_benchmark_test.cc | 336 #define BM_NAME(name, type, N, H, W, C, FW, FH, FC) \  argument 339 #define BM_Conv2D(N, H, W, C, FW, FH, FC, type, LABEL)                  \  argument 350 #define BM_Conv2DWithBias(N, H, W, C, FW, FH, FC, type, LABEL)           \  argument 362 #define BM_Conv2DWithBiasAndRelu(N, H, W, C, FW, FH, FC, type, LABEL)        \  argument 376 #define BM_FusedConv2DWithBias(N, H, W, C, FW, FH, FC, type, LABEL)        \  argument 389 #define BM_FusedConv2DWithBiasAndRelu(N, H, W, C, FW, FH, FC, type, LABEL)     \  argument 403 #define BM_Conv2DWithBatchNorm(N, H, W, C, FW, FH, FC, type, LABEL)           \  argument 415 #define BM_Conv2DWithBatchNormAndRelu(N, H, W, C, FW, FH, FC, type, LABEL)     \  argument 430 #define BM_FusedConv2DWithBatchNorm(N, H, W, C, FW, FH, FC, type, LABEL)     \  argument 444 #define BM_FusedConv2DWithBatchNormAndRelu(N, H, W, C, FW, FH, FC, type,      \  argument [all …] 
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| D | conv_grad_input_ops_benchmark_test.cc | 111 #define BM_NAME(name, type, T, FMT, N, H, W, C, FH, FW, FC, SH, SW, PADDING) \  argument 115 #define BM_Conv2DBwdInput(T, FMT, N, H, W, C, FW, FH, FC, SH, SW, PADDING,    \  argument
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| D | conv_grad_filter_ops_benchmark_test.cc | 112 #define BM_NAME(name, type, T, FMT, N, H, W, C, FH, FW, FC, SH, SW, PADDING) \  argument 116 #define BM_Conv2DBwdFilter(T, FMT, N, H, W, C, FH, FW, FC, SH, SW, PADDING,    \  argument
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| D | eigen_spatial_convolutions_test.cc | 1763 #define BM_RHS_NAME(prefix, T, N, H, W, C, FC, FH, FW, PAD, SH, SW, ISH, ISW, \  argument 1769 #define BM_PackRhs(T, N, H, W, C, FC, FH, FW, PAD, SH, SW, ISH, ISW, BR, BC)  \  argument 2012 #define BM_LHS_NAME(prefix, T, C, FC, FH, FW, BR, BC) \  argument 2015 #define BM_PackLhs(T, C, FC, FH, FW, BR, BC)                         \  argument
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| /external/tensorflow/tensorflow/core/kernels/mkl/ | 
| D | mkl_conv_ops_test.cc | 285 #define BM_NAME(p, type, N, H, W, C, FC, FH, FW) \  argument 291 #define BM_Conv2DT(kind, N, H, W, C, FC, FH, FW, type, LABEL)           \  argument 307 #define BM_Conv2D(N, H, W, C, FC, FH, FW, type, LABEL)      \  argument 311 #define BM_Conv2DBwdInputT(kind, N, H, W, C, FC, FH, FW, type, LABEL)   \  argument 327 #define BM_Conv2DBwdInput(N, H, W, C, FC, FH, FW, type, LABEL)      \  argument 331 #define BM_Conv2DBwdFilterT(kind, N, H, W, C, FC, FH, FW, type, LABEL)  \  argument 347 #define BM_Conv2DBwdFilter(N, H, W, C, FC, FH, FW, type, LABEL)      \  argument
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