1 /*
2 * Copyright (c) 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/StackLayerNode.h"
25
26 #include "arm_compute/core/TensorInfo.h"
27 #include "arm_compute/core/Utils.h"
28 #include "arm_compute/graph/Graph.h"
29 #include "arm_compute/graph/INodeVisitor.h"
30 #include "arm_compute/graph/Utils.h"
31
32 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
33
34 namespace arm_compute
35 {
36 namespace graph
37 {
StackLayerNode(unsigned int total_nodes,int axis)38 StackLayerNode::StackLayerNode(unsigned int total_nodes, int axis)
39 : _total_nodes(total_nodes), _axis(axis)
40 {
41 _input_edges.resize(_total_nodes, EmptyEdgeID);
42 _outputs.resize(1, NullTensorID);
43 }
44
axis() const45 int StackLayerNode::axis() const
46 {
47 return _axis;
48 }
49
compute_output_descriptor(const std::vector<TensorDescriptor> & input_descriptors,int axis)50 TensorDescriptor StackLayerNode::compute_output_descriptor(const std::vector<TensorDescriptor> &input_descriptors,
51 int axis)
52 {
53 ARM_COMPUTE_ERROR_ON(input_descriptors.size() == 0);
54
55 TensorDescriptor output_descriptor = input_descriptors[0];
56
57 const TensorInfo input_info(input_descriptors[0].shape, 1, input_descriptors[0].data_type);
58 const unsigned int num_tensors = input_descriptors.size();
59
60 output_descriptor.shape = arm_compute::misc::shape_calculator::compute_stack_shape(input_info, axis, num_tensors);
61
62 return output_descriptor;
63 }
64
forward_descriptors()65 bool StackLayerNode::forward_descriptors()
66 {
67 if(_outputs[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 StackLayerNode::configure_output(size_t idx) const
78 {
79 ARM_COMPUTE_UNUSED(idx);
80 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
81
82 // Check if all input tensors are set
83 bool are_all_inputs_set = std::all_of(std::begin(_input_edges), std::end(_input_edges), [](const EdgeID & eid)
84 {
85 return eid != EmptyEdgeID;
86 });
87
88 TensorDescriptor output_info = {};
89
90 if(are_all_inputs_set)
91 {
92 std::vector<TensorDescriptor> inputs_descriptors;
93 for(unsigned int i = 0; i < _input_edges.size(); ++i)
94 {
95 const Tensor *t = _graph->tensor(input_id(i));
96 ARM_COMPUTE_ERROR_ON(t == nullptr);
97 inputs_descriptors.push_back(t->desc());
98 }
99 output_info = compute_output_descriptor(inputs_descriptors, _axis);
100 }
101
102 return output_info;
103 }
104
type() const105 NodeType StackLayerNode::type() const
106 {
107 return NodeType::StackLayer;
108 }
109
accept(INodeVisitor & v)110 void StackLayerNode::accept(INodeVisitor &v)
111 {
112 v.visit(*this);
113 }
114 } // namespace graph
115 } // namespace arm_compute
116