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thecha010a05e6a2020-08-28 18:40:38 +01001/*
2 * Copyright (c) 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/DepthToSpaceLayerNode.h"
25
26#include "arm_compute/core/Utils.h"
27#include "arm_compute/core/utils/misc/ShapeCalculator.h"
28#include "arm_compute/graph/Graph.h"
29#include "arm_compute/graph/INodeVisitor.h"
30
31namespace arm_compute
32{
33namespace graph
34{
35DepthToSpaceLayerNode::DepthToSpaceLayerNode(int block_shape)
36 : _block_shape(block_shape)
37{
38 _input_edges.resize(1, EmptyEdgeID);
39 _outputs.resize(1, NullTensorID);
40}
41
42int DepthToSpaceLayerNode::block_shape() const
43{
44 return _block_shape;
45}
46
47TensorDescriptor DepthToSpaceLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, int block_shape)
48{
49 using namespace arm_compute::helpers::tensor_transform;
50
51 TensorShape input_shape = input_descriptor.shape;
52 DataLayout data_layout = input_descriptor.layout;
53
54 // Set descriptor shape
55 TensorDescriptor output_descriptor = input_descriptor;
Georgios Pinitas8a14b2c2020-09-04 20:20:56 +010056 output_descriptor.shape = misc::shape_calculator::compute_depth_to_space_shape(input_shape, data_layout, block_shape);
thecha010a05e6a2020-08-28 18:40:38 +010057
58 return output_descriptor;
59}
60
61bool DepthToSpaceLayerNode::forward_descriptors()
62{
63 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
64 {
65 Tensor *dst = output(0);
66 ARM_COMPUTE_ERROR_ON(dst == nullptr);
67 dst->desc() = configure_output(0);
68 return true;
69 }
70 return false;
71}
72
73TensorDescriptor DepthToSpaceLayerNode::configure_output(size_t idx) const
74{
75 ARM_COMPUTE_UNUSED(idx);
76 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
77
78 const Tensor *src = input(0);
79 ARM_COMPUTE_ERROR_ON(src == nullptr);
80
81 TensorDescriptor output_desc = src->desc();
82
83 return compute_output_descriptor(output_desc, _block_shape);
84}
85
86NodeType DepthToSpaceLayerNode::type() const
87{
88 return NodeType::DepthToSpaceLayer;
89}
90
91void DepthToSpaceLayerNode::accept(INodeVisitor &v)
92{
93 v.visit(*this);
94}
95} // namespace graph
96} // namespace arm_compute