xref: /aosp_15_r20/external/ComputeLibrary/src/graph/nodes/DeconvolutionLayerNode.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
1 /*
2  * Copyright (c) 2018-2020 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
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10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
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15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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24 #include "arm_compute/graph/nodes/DeconvolutionLayerNode.h"
25 
26 #include "arm_compute/core/Utils.h"
27 #include "arm_compute/graph/Graph.h"
28 #include "arm_compute/graph/INodeVisitor.h"
29 #include "arm_compute/graph/Utils.h"
30 
31 namespace arm_compute
32 {
33 namespace graph
34 {
DeconvolutionLayerNode(const descriptors::DeconvolutionLayerDescriptor & descriptor)35 DeconvolutionLayerNode::DeconvolutionLayerNode(const descriptors::DeconvolutionLayerDescriptor &descriptor)
36     : descriptor(std::move(descriptor))
37 {
38     _input_edges.resize(3, EmptyEdgeID);
39     _outputs.resize(1, NullTensorID);
40 }
41 
deconvolution_info() const42 PadStrideInfo DeconvolutionLayerNode::deconvolution_info() const
43 {
44     return descriptor.info;
45 }
46 
compute_output_descriptor(const TensorDescriptor & input_descriptor,const TensorDescriptor & weights_descriptor,const PadStrideInfo & info)47 TensorDescriptor DeconvolutionLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor,
48                                                                    const TensorDescriptor &weights_descriptor,
49                                                                    const PadStrideInfo    &info)
50 {
51     unsigned int output_width  = 0;
52     unsigned int output_height = 0;
53 
54     const unsigned int input_width   = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
55     const unsigned int input_height  = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
56     const unsigned int kernel_width  = get_dimension_size(weights_descriptor, DataLayoutDimension::WIDTH);
57     const unsigned int kernel_height = get_dimension_size(weights_descriptor, DataLayoutDimension::HEIGHT);
58 
59     std::tie(output_width, output_height) = deconvolution_output_dimensions(input_width, input_height, kernel_width, kernel_height, info);
60 
61     const DataLayout data_layout       = input_descriptor.layout;
62     TensorDescriptor output_descriptor = input_descriptor;
63     output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), output_width);
64     output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), output_height);
65     output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), weights_descriptor.shape[3]);
66 
67     return output_descriptor;
68 }
69 
forward_descriptors()70 bool DeconvolutionLayerNode::forward_descriptors()
71 {
72     if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID))
73     {
74         Tensor *dst = output(0);
75         ARM_COMPUTE_ERROR_ON(dst == nullptr);
76         dst->desc() = configure_output(0);
77         return true;
78     }
79     return false;
80 }
81 
configure_output(size_t idx) const82 TensorDescriptor DeconvolutionLayerNode::configure_output(size_t idx) const
83 {
84     ARM_COMPUTE_UNUSED(idx);
85     const Tensor *src     = input(0);
86     const Tensor *weights = input(1);
87 
88     ARM_COMPUTE_ERROR_ON(src == nullptr || weights == nullptr);
89 
90     TensorDescriptor output_info = compute_output_descriptor(src->desc(), weights->desc(), descriptor.info);
91 
92     if(!descriptor.out_quant_info.empty())
93     {
94         output_info.set_quantization_info(descriptor.out_quant_info);
95     }
96 
97     return output_info;
98 }
99 
type() const100 NodeType DeconvolutionLayerNode::type() const
101 {
102     return NodeType::DeconvolutionLayer;
103 }
104 
accept(INodeVisitor & v)105 void DeconvolutionLayerNode::accept(INodeVisitor &v)
106 {
107     v.visit(*this);
108 }
109 } // namespace graph
110 } // namespace arm_compute
111