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
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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
14 * copies or substantial portions of the Software.
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,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/graph/nodes/PadLayerNode.h"
25
26 #include "arm_compute/graph/Graph.h"
27 #include "arm_compute/graph/INodeVisitor.h"
28
29 #include "arm_compute/core/Helpers.h"
30
31 namespace arm_compute
32 {
33 namespace graph
34 {
PadLayerNode(const PaddingList & padding,PixelValue pad_value)35 PadLayerNode::PadLayerNode(const PaddingList &padding, PixelValue pad_value)
36 : _padding(padding), _pad_value(pad_value)
37 {
38 _input_edges.resize(1, EmptyEdgeID);
39 _outputs.resize(1, NullTensorID);
40 }
41
padding() const42 const PaddingList &PadLayerNode::padding() const
43 {
44 return _padding;
45 }
46
pad_value() const47 PixelValue PadLayerNode::pad_value() const
48 {
49 return _pad_value;
50 }
51
forward_descriptors()52 bool PadLayerNode::forward_descriptors()
53 {
54 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
55 {
56 Tensor *dst = output(0);
57 ARM_COMPUTE_ERROR_ON(dst == nullptr);
58 dst->desc() = configure_output(0);
59 return true;
60 }
61 return false;
62 }
63
configure_output(size_t idx) const64 TensorDescriptor PadLayerNode::configure_output(size_t idx) const
65 {
66 ARM_COMPUTE_UNUSED(idx);
67 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
68
69 const Tensor *src = input(0);
70 ARM_COMPUTE_ERROR_ON(src == nullptr);
71
72 TensorDescriptor output_desc = src->desc();
73 const TensorShape input_shape = src->desc().shape;
74 for(size_t dim = 0; dim < _padding.size(); ++dim)
75 {
76 output_desc.shape.set(dim, _padding[dim].first + input_shape[dim] + _padding[dim].second);
77 }
78
79 return output_desc;
80 }
81
type() const82 NodeType PadLayerNode::type() const
83 {
84 return NodeType::PadLayer;
85 }
86
accept(INodeVisitor & v)87 void PadLayerNode::accept(INodeVisitor &v)
88 {
89 v.visit(*this);
90 }
91 } // namespace graph
92 } // namespace arm_compute
93