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 #include "arm_compute/graph/nodes/PriorBoxLayerNode.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 {
PriorBoxLayerNode(PriorBoxLayerInfo prior_info)35 PriorBoxLayerNode::PriorBoxLayerNode(PriorBoxLayerInfo prior_info)
36 : _info(std::move(prior_info))
37 {
38 _input_edges.resize(2, EmptyEdgeID);
39 _outputs.resize(1, NullTensorID);
40 }
41
priorbox_info() const42 PriorBoxLayerInfo PriorBoxLayerNode::priorbox_info() const
43 {
44 return _info;
45 }
46
compute_output_descriptor(const TensorDescriptor & input_descriptor,const PriorBoxLayerInfo & info)47 TensorDescriptor PriorBoxLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor,
48 const PriorBoxLayerInfo &info)
49 {
50 const unsigned int layer_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
51 const unsigned int layer_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
52 const unsigned int num_priors = info.aspect_ratios().size() * info.min_sizes().size() + info.max_sizes().size();
53
54 TensorDescriptor output_descriptor = input_descriptor;
55 output_descriptor.shape.set(0, layer_width * layer_height * num_priors * 4);
56 output_descriptor.shape.set(1, 2);
57 output_descriptor.shape.set(2, 1);
58
59 return output_descriptor;
60 }
61
forward_descriptors()62 bool PriorBoxLayerNode::forward_descriptors()
63 {
64 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
65 {
66 Tensor *dst = output(0);
67 ARM_COMPUTE_ERROR_ON(dst == nullptr);
68 dst->desc() = configure_output(0);
69 return true;
70 }
71 return false;
72 }
73
configure_output(size_t idx) const74 TensorDescriptor PriorBoxLayerNode::configure_output(size_t idx) const
75 {
76 ARM_COMPUTE_UNUSED(idx);
77 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
78
79 const Tensor *input0 = input(0);
80 ARM_COMPUTE_ERROR_ON(input0 == nullptr);
81
82 return compute_output_descriptor(input0->desc(), _info);
83 }
84
type() const85 NodeType PriorBoxLayerNode::type() const
86 {
87 return NodeType::PriorBoxLayer;
88 }
89
accept(INodeVisitor & v)90 void PriorBoxLayerNode::accept(INodeVisitor &v)
91 {
92 v.visit(*this);
93 }
94 } // namespace graph
95 } // namespace arm_compute
96