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/PoolingLayerNode.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 {
PoolingLayerNode(PoolingLayerInfo pool_info)35 PoolingLayerNode::PoolingLayerNode(PoolingLayerInfo pool_info)
36 : _info(std::move(pool_info))
37 {
38 _input_edges.resize(1, EmptyEdgeID);
39 _outputs.resize(1, NullTensorID);
40 }
41
pooling_info() const42 PoolingLayerInfo PoolingLayerNode::pooling_info() const
43 {
44 return _info;
45 }
46
compute_output_descriptor(const TensorDescriptor & input_descriptor,PoolingLayerInfo info)47 TensorDescriptor PoolingLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor,
48 PoolingLayerInfo info)
49 {
50 unsigned int pooled_width = 0;
51 unsigned int pooled_height = 0;
52
53 const unsigned int input_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
54 const unsigned int input_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
55 const unsigned int pool_size_x = info.is_global_pooling ? input_width : info.pool_size.width;
56 const unsigned int pool_size_y = info.is_global_pooling ? input_height : info.pool_size.height;
57
58 std::tie(pooled_width, pooled_height) = scaled_dimensions(input_width, input_height, pool_size_x, pool_size_y, info.pad_stride_info);
59
60 const DataLayout data_layout = input_descriptor.layout;
61 TensorDescriptor output_descriptor = input_descriptor;
62 output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), pooled_width);
63 output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), pooled_height);
64
65 return output_descriptor;
66 }
67
forward_descriptors()68 bool PoolingLayerNode::forward_descriptors()
69 {
70 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
71 {
72 Tensor *dst = output(0);
73 ARM_COMPUTE_ERROR_ON(dst == nullptr);
74 dst->desc() = configure_output(0);
75 return true;
76 }
77 return false;
78 }
79
configure_output(size_t idx) const80 TensorDescriptor PoolingLayerNode::configure_output(size_t idx) const
81 {
82 ARM_COMPUTE_UNUSED(idx);
83 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
84
85 const Tensor *src = input(0);
86 ARM_COMPUTE_ERROR_ON(src == nullptr);
87
88 return compute_output_descriptor(src->desc(), _info);
89 }
90
type() const91 NodeType PoolingLayerNode::type() const
92 {
93 return NodeType::PoolingLayer;
94 }
95
accept(INodeVisitor & v)96 void PoolingLayerNode::accept(INodeVisitor &v)
97 {
98 v.visit(*this);
99 }
100 } // namespace graph
101 } // namespace arm_compute