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/ConcatenateLayerNode.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 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
32
33 namespace arm_compute
34 {
35 namespace graph
36 {
ConcatenateLayerNode(unsigned int total_nodes,descriptors::ConcatLayerDescriptor concat_descriptor)37 ConcatenateLayerNode::ConcatenateLayerNode(unsigned int total_nodes, descriptors::ConcatLayerDescriptor concat_descriptor)
38 : _total_nodes(total_nodes), _concat_descriptor(std::move(concat_descriptor)), _is_enabled(true)
39 {
40 _input_edges.resize(_total_nodes, EmptyEdgeID);
41 _outputs.resize(1, NullTensorID);
42 }
43
set_enabled(bool is_enabled)44 void ConcatenateLayerNode::set_enabled(bool is_enabled)
45 {
46 _is_enabled = is_enabled;
47 }
48
is_enabled() const49 bool ConcatenateLayerNode::is_enabled() const
50 {
51 return _is_enabled;
52 }
53
concatenation_axis() const54 DataLayoutDimension ConcatenateLayerNode::concatenation_axis() const
55 {
56 return _concat_descriptor.axis;
57 }
58
output_quantization_info() const59 QuantizationInfo ConcatenateLayerNode::output_quantization_info() const
60 {
61 return _concat_descriptor.output_qinfo;
62 }
63
compute_output_descriptor(const std::vector<TensorDescriptor> & input_descriptors,DataLayoutDimension axis)64 TensorDescriptor ConcatenateLayerNode::compute_output_descriptor(const std::vector<TensorDescriptor> &input_descriptors,
65 DataLayoutDimension axis)
66 {
67 ARM_COMPUTE_ERROR_ON(input_descriptors.size() == 0);
68
69 TensorDescriptor output_descriptor = input_descriptors[0];
70 const int axis_idx = get_dimension_idx(output_descriptor.layout, axis);
71 ARM_COMPUTE_ERROR_ON_MSG(axis_idx > 2, "Unsupported concatenation axis!");
72
73 // Extract shapes
74 std::vector<const TensorShape *> shapes;
75 shapes.reserve(input_descriptors.size());
76 for(auto &input_descriptor : input_descriptors)
77 {
78 shapes.emplace_back(&input_descriptor.shape);
79 }
80
81 output_descriptor.shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(shapes, axis_idx);
82
83 return output_descriptor;
84 }
85
forward_descriptors()86 bool ConcatenateLayerNode::forward_descriptors()
87 {
88 if(_outputs[0] != NullTensorID)
89 {
90 Tensor *dst = output(0);
91 ARM_COMPUTE_ERROR_ON(dst == nullptr);
92 dst->desc() = configure_output(0);
93 return true;
94 }
95 return false;
96 }
97
configure_output(size_t idx) const98 TensorDescriptor ConcatenateLayerNode::configure_output(size_t idx) const
99 {
100 ARM_COMPUTE_UNUSED(idx);
101 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
102
103 // Check if all input tensors are set
104 bool are_all_inputs_set = std::all_of(std::begin(_input_edges), std::end(_input_edges), [](const EdgeID & eid)
105 {
106 return eid != EmptyEdgeID;
107 });
108
109 TensorDescriptor output_info = {};
110
111 if(are_all_inputs_set)
112 {
113 std::vector<TensorDescriptor> inputs_descriptors;
114 for(unsigned int i = 0; i < _input_edges.size(); ++i)
115 {
116 const Tensor *t = _graph->tensor(input_id(i));
117 ARM_COMPUTE_ERROR_ON(t == nullptr);
118 inputs_descriptors.push_back(t->desc());
119 }
120 output_info = compute_output_descriptor(inputs_descriptors, _concat_descriptor.axis);
121 if(!_concat_descriptor.output_qinfo.empty())
122 {
123 output_info.quant_info = _concat_descriptor.output_qinfo;
124 }
125 }
126
127 return output_info;
128 }
129
type() const130 NodeType ConcatenateLayerNode::type() const
131 {
132 return NodeType::ConcatenateLayer;
133 }
134
accept(INodeVisitor & v)135 void ConcatenateLayerNode::accept(INodeVisitor &v)
136 {
137 v.visit(*this);
138 }
139 } // namespace graph
140 } // namespace arm_compute
141