/external/tensorflow/tensorflow/core/kernels/mkl/ |
D | mkl_relu_op.cc | 444 MklDnnShape dnn_shape_src; in Compute() 450 MklDnnShape dnn_shape_dst; in Compute() 598 MklDnnShape dnn_shape_src, dnn_shape_diff_dst; in Compute() 609 MklDnnShape dnn_shape_diff_src; in Compute() 774 MklDnnShape dnn_shape_src; in Compute_Scalar() 780 MklDnnShape dnn_shape_dst; in Compute_Scalar() 809 MklDnnShape dnn_shape_diff_dst; in Compute_Scalar() 812 MklDnnShape dnn_shape_diff_src; in Compute_Scalar() 842 MklDnnShape dnn_shape_src; in Compute_Scalar() 848 MklDnnShape dnn_shape_dst; in Compute_Scalar() [all …]
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D | mkl_aggregate_ops.cc | 44 MklDnnShape src_mkl_shape; in GetTensorShape() 75 MklDnnShape src_mkl_shape; in FindMKLInputIndex() 91 MklDnnShape output_mkl_shape; in ComputeScalar() 116 MklDnnShape mkl_shape; in Compute() 137 MklDnnShape output_mkl_shape; in Compute() 184 MklDnnShape src_mkl_shape; in Compute()
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D | mkl_input_conversion_op.cc | 71 MklDnnShape input_shape_0; in Compute() 75 MklDnnShape input_shape_1; in Compute() 123 MklDnnShape mkl_output_mkl_shape; in Compute() 192 const MklDnnShape* mkl_shape; in Compute() 224 MklDnnShape mkl_output_mkl_shape; in Compute()
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D | mkl_lrn_op.cc | 98 MklDnnShape src_dnn_shape; in Compute() 197 MklDnnShape output_mkl_shape; in AllocateOutputTensor() 231 MklDnnShape mkl_output_mkl_shape; in MklDefaultToEigen() 239 MklDnnShape workspace_mkl_shape; in MklDefaultToEigen() 269 MklDnnShape workspace_mkl_shape; in AllocateWorkspaceTensor() 283 MklDnnShape src_dnn_shape; in SanityCheckInputs() 345 MklDnnShape input_grad_dnn_shape, orig_input_dnn_shape, in Compute() 459 MklDnnShape output_mkl_shape; in AllocateOutputTensor() 477 const MklDnnShape& input_grad_dnn_shape, in ConfigureInputGradient() 507 MklDnnShape input_grad_dnn_shape, orig_input_dnn_shape, in MklDefaultToEigen() [all …]
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D | mkl_quantize_op.cc | 269 MklDnnShape output_mkl_shape; in ComputeScalar() 276 MklDnnShape min_mkl_shape; in ComputeScalar() 282 MklDnnShape max_mkl_shape; in ComputeScalar() 332 MklDnnShape src_mkl_shape; in Compute() 405 MklDnnShape output_mkl_shape; in Compute() 426 MklDnnShape min_mkl_shape; in Compute() 432 MklDnnShape max_mkl_shape; in Compute()
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D | mkl_reshape_op.cc | 46 bool SkipReorder(const MklDnnShape& mkl_shape_input, in SkipReorder() 65 MklDnnShape mkl_shape_input; in Compute() 160 MklDnnShape mkl_shape_output; in Compute()
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D | mkl_conv_grad_input_ops.cc | 319 MklDnnShape src_mkl_shape, filter_mkl_shape, diff_dst_mkl_shape; in Compute() 350 MklDnnShape diff_src_mkl_shape; in Compute() 443 MklDnnShape diff_src_mkl_shape; in Compute() 511 void ValidateMklShapes(const MklDnnShape& input_mkl_shape, in ValidateMklShapes() 512 const MklDnnShape& filter_mkl_shape, in ValidateMklShapes() 513 const MklDnnShape& obp_mkl_shape) { in ValidateMklShapes() 570 MklDnnShape output_mkl_shape; in AllocateOutputTensor()
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D | mkl_slice_op.cc | 73 MklDnnShape input_mkl_shape, begin_mkl_shape, size_mkl_shape; in ValidateMklInputs() 146 MklDnnShape input_mkl_shape; in CheckCommonCasesForMklInputs() 386 MklDnnShape output_mkl_shape; in ComputeMklSlice() 401 MklDnnShape input_mkl_shape; in ComputeMklSlice() 470 const MklDnnShape& input_mkl_shape, in AllocateOutputTensor() 474 MklDnnShape* output_mkl_shape) { in AllocateOutputTensor()
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D | mkl_matmul_op_fused.cc | 63 MklDnnShape src_mkl_shape; in Compute() 64 MklDnnShape weight_mkl_shape; in Compute() 137 MklDnnShape output_mkl_shape; in Compute() 144 MklDnnShape add_mkl_shape; in Compute()
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D | mkl_conv_grad_filter_ops.cc | 376 MklDnnShape src_mkl_shape, filter_mkl_shape, diff_dst_mkl_shape; in Compute() 398 MklDnnShape diff_filter_mkl_shape; in Compute() 482 MklDnnShape diff_filter_mkl_shape; in Compute() 623 void ValidateMklShapes(const MklDnnShape& input_mkl_shape, in ValidateMklShapes() 624 const MklDnnShape& filter_mkl_shape, in ValidateMklShapes() 625 const MklDnnShape& obp_mkl_shape) { in ValidateMklShapes() 685 MklDnnShape output_mkl_shape; in AllocateOutputTensor() 702 MklDnnShape bias_grad_mkl_shape; in AllocateBiasGradTensor()
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D | mkl_pooling_ops_common.h | 422 TensorFormat data_format, const MklDnnShape* mkl_in_shape); 500 const MklDnnShape& original_input_mkl_shape, in InitMklPoolParameters() 548 MklDnnShape output_mkl_shape; in AllocateEmptyOutputTensor() 607 const MklDnnShape& input_mkl_shape, in ConfigureInput() 651 MklDnnShape output_mkl_shape; in AllocateOutputTensor() 670 const MklDnnShape& input_mkl_shape) { in SanityCheckInput() 703 MklDnnShape output_mkl_shape; in AllocateOutputTensor()
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D | mkl_dequantize_op.cc | 63 MklDnnShape src_mkl_shape; in Compute() 93 MklDnnShape output_mkl_shape; in Compute()
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D | mkl_maxpooling_op.cc | 58 MklDnnShape dnn_shape_input; in Compute() 170 MklDnnShape output_min_mkl_shape, output_max_mkl_shape; in Compute() 210 MklDnnShape workspace_mkl_shape; in AllocateWorkspaceTensor() 243 MklDnnShape orig_input_mkl_shape, grad_mkl_shape; in Compute()
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D | mkl_fused_batch_norm_op.cc | 692 MklDnnShape dnn_shape_src; in Compute() 846 MklDnnShape dnn_shape_dst; in Compute() 945 MklDnnShape dnn_shape_dst; in HandleEmptyInput() 983 MklDnnShape mkl_shape_batch_mean; in AllocateTFOutputs() 996 MklDnnShape mkl_shape_batch_variance; in AllocateTFOutputs() 1008 MklDnnShape mkl_shape_saved_mean; in AllocateTFOutputs() 1019 MklDnnShape mkl_shape_saved_variance; in AllocateTFOutputs() 1034 MklDnnShape mkl_shape_reserved_space; in AllocateTFOutputs() 1080 MklDnnShape dnn_shape_src, dnn_shape_diff_dst; in Compute() 1244 MklDnnShape dnn_shape_diff_src; in Compute() [all …]
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D | mkl_identity_op.cc | 38 MklDnnShape dnn_shape_input; in Compute()
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D | mkl_concat_op.cc | 461 std::vector<MklDnnShape> mkl_input_shapes(N); in Compute() 721 MklDnnShape dnn_shape_dst; in Compute() 760 MklDnnShape dnn_shape_dst; in Compute() 784 MklDnnShape output_min_mkl_shape, output_max_mkl_shape; in Compute() 797 MklDnnShape dnn_shape_dst; in Compute() 847 MklDnnShape output_data_mkl_shape; in CallEigenVersion() 852 MklDnnShape output_min_max_mkl_shape; in CallEigenVersion()
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D | mkl_avgpooling_op.cc | 54 MklDnnShape dnn_shape_input; in Compute() 145 MklDnnShape output_min_mkl_shape, output_max_mkl_shape; in Compute() 184 MklDnnShape orig_input_mkl_shape, grad_mkl_shape; in Compute()
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D | mkl_conv_ops.cc | 502 MklDnnShape src_mkl_shape, filter_mkl_shape; in Compute() 558 MklDnnShape dst_mkl_shape; in Compute() 664 MklDnnShape output_mkl_shape; in Compute() 852 MklDnnShape* output_mkl_shape, in AllocateOutputTensor() 878 MklDnnShape add_mkl_shape; in AllocateOutputTensor() 966 MklTensorFormat GetFilterTfDataFormat(const MklDnnShape* filter_mkl_shape, in GetFilterTfDataFormat() 977 const MklDnnShape* filter_mkl_shape) { in AllocatePersistentTensor() 1017 MklDnnShape filter_mkl_shape; in AllocateFilterOutputTensor() 1094 const MklDnnShape& filter_mkl_shape) TF_LOCKS_EXCLUDED(mu_) { in CacheFilter() 1389 MklDnnShape output_min_mkl_shape, output_max_mkl_shape; in Compute() [all …]
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D | mkl_softmax_op.cc | 206 MklDnnShape src_mkl_shape; in Compute() 277 MklDnnShape output_mkl_shape; in Compute()
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D | mkl_tfconv_op.h | 70 MklDnnShape input_shape; in ConvertMklToTf()
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D | mkl_dequantize_op_test.cc | 66 MklDnnShape mkl_shape; in CreateMklInput()
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D | mkl_qmatmul_op.cc | 167 MklDnnShape src_mkl_shape, weight_mkl_shape; in Compute() 324 MklDnnShape output_min_mkl_shape, output_max_mkl_shape; in Compute()
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D | mkl_pooling_ops_common.cc | 256 const MklDnnShape* mklInputShape) { in Init()
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/external/tensorflow/tensorflow/core/util/ |
D | mkl_util.h | 247 class MklDnnShape { 269 MklDnnShape() { in MklDnnShape() function 279 ~MklDnnShape() {} in ~MklDnnShape() 280 TF_DISALLOW_COPY_AND_ASSIGN(MklDnnShape); // Cannot copy 284 inline bool operator==(const MklDnnShape& input_shape) const { 603 typedef std::vector<MklDnnShape> MklDnnShapeList; 625 const MklDnnShape& input_mkl_shape, in ConvertMklToTF() 677 inline void GetMklShape(OpKernelContext* ctext, int n, MklDnnShape* mklshape, in GetMklShape() 693 inline void GetMklShape(OpKernelContext* ctext, int n, MklDnnShape* mklshape) { in GetMklShape() 729 MklDnnShape input_mkl_shape; [all …]
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D | mkl_util_test.cc | 32 MklDnnShape a_mkldnn_shape; in TEST() 44 MklDnnShape b_mkldnn_shape; in TEST()
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