/external/tensorflow/tensorflow/contrib/fused_conv/kernels/ |
fused_conv2d_bias_activation_op.cc | 118 constexpr bool is_int8x4 = std::is_same<T, qint8>::value; local 123 OP_REQUIRES(context, (is_int8x4 == (data_format_ == FORMAT_NCHW_VECT_C)), 127 OP_REQUIRES(context, (is_int8x4 == (filter_format_ == FORMAT_OIHW_VECT_I)), 285 void AdjustPaddingForCudnn(int padding, bool is_int8x4, int filter_size, 289 if (is_int8x4 && filter_size >= 6) { 320 constexpr bool is_int8x4 = std::is_same<T, qint8>::value; local 321 constexpr int rank = is_int8x4 ? 5 : 4; 322 constexpr int vect = is_int8x4 ? 4 : 1; 324 if (is_int8x4) { 368 AdjustPaddingForCudnn(padding_rows, is_int8x4, filter_rows, &padding_rows [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
depthtospace_op.cc | 70 constexpr bool is_int8x4 = std::is_same<T, qint8>::value; variable 71 OP_REQUIRES(context, (is_int8x4 == (data_format_ == FORMAT_NCHW_VECT_C)), 75 constexpr int kVect = is_int8x4 ? 4 : 1; 76 constexpr int kDims = is_int8x4 ? 5 : 4; 116 if (is_int8x4) { 135 if (!is_int8x4) {
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spacetodepth_op.cc | 70 constexpr bool is_int8x4 = std::is_same<T, qint8>::value; variable 71 OP_REQUIRES(context, (is_int8x4 == (data_format_ == FORMAT_NCHW_VECT_C)), 75 constexpr int kVect = is_int8x4 ? 4 : 1; 76 constexpr int kDims = is_int8x4 ? 5 : 4; 118 if (is_int8x4) { 137 if (!is_int8x4) {
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maxpooling_op.cc | 1073 constexpr bool is_int8x4 = std::is_same<T, qint8>::value; variable [all...] |