/external/tensorflow/tensorflow/core/kernels/ |
mkl_conv_ops.h | 315 memory::dims* output_dims_tf_order, memory::dims* output_dims_mkl_order, 319 CHECK_NOTNULL(output_dims_mkl_order); 460 *output_dims_mkl_order = mkldnn_sizes; 468 *output_dims_mkl_order = mkldnn_sizes; 479 memory::dims* output_dims_mkl_order, memory::dims* pad_l, 482 CHECK_NOTNULL(output_dims_mkl_order); 503 output_dims_mkl_order, pad_l, pad_r, 519 memory::dims* output_dims_tf_order, memory::dims* output_dims_mkl_order, 527 CHECK_NOTNULL(output_dims_mkl_order); 540 output_dims_mkl_order, pad_l, pad_r, pad_enabled, is_depthwise) [all...] |
mkl_pooling_ops_common.h | 491 memory::dims* output_dims_mkl_order) { 494 *output_dims_mkl_order = {mkl_pool_params.tensor_in_batch, 500 *output_dims_mkl_order = {mkl_pool_params.tensor_in_batch, 556 const memory::dims output_dims_mkl_order, 562 output_tf_shape = MklDnnDimsToTFShape(output_dims_mkl_order); 643 const memory::dims output_dims_mkl_order, 652 output_mkl_shape.SetTfLayout(output_dims_mkl_order.size(), 653 output_dims_mkl_order, output_tf_format); 695 const memory::dims output_dims_mkl_order, 704 output_mkl_shape.SetTfLayout(output_dims_mkl_order.size() [all...] |
mkl_maxpooling_op.cc | 536 memory::dims output_dims_mkl_order; variable 537 this->GetOutputDims(pool_params, &output_dims_mkl_order); 543 output_dims_mkl_order, &output_tensor); 581 MklPoolingParams fwdParams(src_dims, output_dims_mkl_order, filter_dims, 588 output_dims_mkl_order, 591 dnn_data_output.SetUsrMem(output_dims_mkl_order, 730 memory::dims output_dims_mkl_order; variable 731 this->GetOutputDims(pool_params, &output_dims_mkl_order); 734 orig_input_dims_mkl_order, output_dims_mkl_order, filter_dims, [all...] |
mkl_avgpooling_op.cc | 466 memory::dims output_dims_mkl_order; variable 467 this->GetOutputDims(pool_params, &output_dims_mkl_order); 473 output_dims_mkl_order, &output_tensor); 504 MklPoolingParams fwdParams(src_dims, output_dims_mkl_order, filter_dims, 512 output_dims_mkl_order, 618 memory::dims output_dims_mkl_order; variable 619 this->GetOutputDims(pool_params, &output_dims_mkl_order); 624 orig_input_dims_mkl_order, output_dims_mkl_order, filter_dims,
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mkl_lrn_op.cc | 197 const memory::dims output_dims_mkl_order, 208 output_mkl_shape.SetTfLayout(output_dims_mkl_order.size(), 209 output_dims_mkl_order, output_tf_format); 447 const memory::dims output_dims_mkl_order, 458 output_mkl_shape.SetTfLayout(output_dims_mkl_order.size(), 459 output_dims_mkl_order, output_tf_format);
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mkl_conv_grad_filter_ops.cc | 489 // Conv2D: output_dims_mkl_order is in OIHW format. 520 // Conv3D: output_dims_mkl_order is in OIDHW format. 667 const memory::dims& output_dims_mkl_order, 679 // output_dims_mkl_order is in OIHW format. 681 TensorShape output_tf_shape({output_dims_mkl_order[MklDnnDims::Dim_H], 682 output_dims_mkl_order[MklDnnDims::Dim_W], 683 output_dims_mkl_order[MklDnnDims::Dim_I], 684 output_dims_mkl_order[MklDnnDims::Dim_O]});
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mkl_conv_grad_input_ops.cc | 536 const memory::dims& output_dims_mkl_order, 548 output_mkl_shape.SetTfLayout(output_dims_mkl_order.size(), 549 output_dims_mkl_order, output_tf_format);
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mkl_conv_ops.cc | [all...] |