1 /*
2 * Copyright (c) 2018-2019 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/ReorgLayerNode.h"
25
26 #include "arm_compute/graph/Graph.h"
27 #include "arm_compute/graph/INodeVisitor.h"
28 #include "arm_compute/graph/Utils.h"
29
30 namespace arm_compute
31 {
32 namespace graph
33 {
ReorgLayerNode(int stride)34 ReorgLayerNode::ReorgLayerNode(int stride)
35 : _stride(stride)
36 {
37 _input_edges.resize(1, EmptyEdgeID);
38 _outputs.resize(1, NullTensorID);
39 }
40
stride() const41 int ReorgLayerNode::stride() const
42 {
43 return _stride;
44 }
45
compute_output_descriptor(const TensorDescriptor & input_descriptor,int stride)46 TensorDescriptor ReorgLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, int stride)
47 {
48 const unsigned int input_width = get_dimension_size(input_descriptor, DataLayoutDimension::WIDTH);
49 const unsigned int input_height = get_dimension_size(input_descriptor, DataLayoutDimension::HEIGHT);
50 const unsigned int input_channel = get_dimension_size(input_descriptor, DataLayoutDimension::CHANNEL);
51
52 ARM_COMPUTE_ERROR_ON(stride <= 0);
53 ARM_COMPUTE_ERROR_ON_MSG((input_width % stride != 0), "The width of the input tensor must be a multiple of stride");
54 ARM_COMPUTE_ERROR_ON_MSG((input_height % stride != 0), "The height of the input tensor must be a multiple of stride");
55
56 const DataLayout data_layout = input_descriptor.layout;
57 TensorDescriptor output_descriptor = input_descriptor;
58 output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::WIDTH), input_width / stride);
59 output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::HEIGHT), input_height / stride);
60 output_descriptor.shape.set(get_dimension_idx(data_layout, DataLayoutDimension::CHANNEL), input_channel * stride * stride);
61
62 return output_descriptor;
63 }
64
forward_descriptors()65 bool ReorgLayerNode::forward_descriptors()
66 {
67 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
68 {
69 Tensor *dst = output(0);
70 ARM_COMPUTE_ERROR_ON(dst == nullptr);
71 dst->desc() = configure_output(0);
72 return true;
73 }
74 return false;
75 }
76
configure_output(size_t idx) const77 TensorDescriptor ReorgLayerNode::configure_output(size_t idx) const
78 {
79 ARM_COMPUTE_UNUSED(idx);
80 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
81
82 const Tensor *src = input(0);
83 ARM_COMPUTE_ERROR_ON(src == nullptr);
84
85 return compute_output_descriptor(src->desc(), _stride);
86 }
87
type() const88 NodeType ReorgLayerNode::type() const
89 {
90 return NodeType::ReorgLayer;
91 }
92
accept(INodeVisitor & v)93 void ReorgLayerNode::accept(INodeVisitor &v)
94 {
95 v.visit(*this);
96 }
97 } // namespace graph
98 } // namespace arm_compute