| 641 | } |
| 642 | |
| 643 | NodeID GraphBuilder::add_normalize_planar_yuv_node( |
| 644 | Graph &g, NodeParams params, NodeIdxPair input, ITensorAccessorUPtr mean_accessor, ITensorAccessorUPtr std_accessor) |
| 645 | { |
| 646 | check_nodeidx_pair(input, g); |
| 647 | |
| 648 | // Get input tensor descriptor |
| 649 | const TensorDescriptor input_tensor_desc = get_tensor_descriptor(g, g.node(input.node_id)->outputs()[0]); |
| 650 | |
| 651 | // Calculate Common Descriptor |
| 652 | TensorDescriptor common_desc = input_tensor_desc; |
| 653 | common_desc.shape = TensorShape(get_dimension_size(input_tensor_desc, DataLayoutDimension::CHANNEL)); |
| 654 | |
| 655 | // Create mean and std nodes |
| 656 | auto mean_nid = add_const_node_with_name(g, params, "Mean", common_desc, std::move(mean_accessor)); |
| 657 | auto std_nid = add_const_node_with_name(g, params, "Std", common_desc, std::move(std_accessor)); |
| 658 | |
| 659 | // Create normalize planar YUV node and add connections |
| 660 | NodeID norm_planar_yuv_nid = g.add_node<NormalizePlanarYUVLayerNode>(); |
| 661 | g.add_connection(input.node_id, input.index, norm_planar_yuv_nid, 0); |
| 662 | g.add_connection(mean_nid, 0, norm_planar_yuv_nid, 1); |
| 663 | g.add_connection(std_nid, 0, norm_planar_yuv_nid, 2); |
| 664 | set_node_params(g, norm_planar_yuv_nid, params); |
| 665 | |
| 666 | return norm_planar_yuv_nid; |
| 667 | } |
| 668 | |
| 669 | NodeID GraphBuilder::add_pad_node( |
| 670 | Graph &g, NodeParams params, NodeIdxPair input, const PaddingList &paddings, PixelValue pad_value) |
nothing calls this directly
no test coverage detected