1 /*
2 * Copyright (c) 2018 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
25 #include "arm_compute/graph/nodes/ROIAlignLayerNode.h"
26
27 #include "arm_compute/graph/Graph.h"
28 #include "arm_compute/graph/INodeVisitor.h"
29
30 #include "arm_compute/core/Helpers.h"
31
32 namespace arm_compute
33 {
34 namespace graph
35 {
ROIAlignLayerNode(ROIPoolingLayerInfo & pool_info)36 ROIAlignLayerNode::ROIAlignLayerNode(ROIPoolingLayerInfo &pool_info)
37 : _pool_info(pool_info)
38 {
39 _input_edges.resize(2, EmptyEdgeID);
40 _outputs.resize(1, NullTensorID);
41 }
42
pooling_info() const43 const ROIPoolingLayerInfo &ROIAlignLayerNode::pooling_info() const
44 {
45 return _pool_info;
46 }
47
forward_descriptors()48 bool ROIAlignLayerNode::forward_descriptors()
49 {
50 if((input_id(0) != NullTensorID) && (input_id(1) != NullTensorID) && (output_id(0) != NullTensorID))
51 {
52 Tensor *dst = output(0);
53 ARM_COMPUTE_ERROR_ON(dst == nullptr);
54 dst->desc() = configure_output(0);
55 return true;
56 }
57 return false;
58 }
59
configure_output(size_t idx) const60 TensorDescriptor ROIAlignLayerNode::configure_output(size_t idx) const
61 {
62 ARM_COMPUTE_UNUSED(idx);
63 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
64
65 const Tensor *src = input(0);
66 const Tensor *rois = input(1);
67 ARM_COMPUTE_ERROR_ON(src == nullptr);
68 ARM_COMPUTE_ERROR_ON(rois == nullptr);
69
70 TensorDescriptor output_desc = src->desc();
71
72 const size_t idx_n = get_data_layout_dimension_index(output_desc.layout, DataLayoutDimension::BATCHES);
73 const size_t idx_c = get_data_layout_dimension_index(output_desc.layout, DataLayoutDimension::CHANNEL);
74 const size_t idx_h = get_data_layout_dimension_index(output_desc.layout, DataLayoutDimension::HEIGHT);
75 const size_t idx_w = get_data_layout_dimension_index(output_desc.layout, DataLayoutDimension::WIDTH);
76
77 output_desc.shape.set(idx_n, rois->desc().shape[1]);
78 output_desc.shape.set(idx_c, src->desc().shape[idx_c]);
79 output_desc.shape.set(idx_h, _pool_info.pooled_height());
80 output_desc.shape.set(idx_w, _pool_info.pooled_width());
81
82 return output_desc;
83 }
84
type() const85 NodeType ROIAlignLayerNode::type() const
86 {
87 return NodeType::ROIAlignLayer;
88 }
89
accept(INodeVisitor & v)90 void ROIAlignLayerNode::accept(INodeVisitor &v)
91 {
92 v.visit(*this);
93 }
94 } // namespace graph
95 } // namespace arm_compute