xref: /aosp_15_r20/external/ComputeLibrary/src/graph/nodes/SoftmaxLayerNode.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
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
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22  * SOFTWARE.
23  */
24 #include "arm_compute/graph/nodes/SoftmaxLayerNode.h"
25 
26 #include "arm_compute/core/Utils.h"
27 #include "arm_compute/graph/Graph.h"
28 #include "arm_compute/graph/INodeVisitor.h"
29 
30 namespace arm_compute
31 {
32 namespace graph
33 {
SoftmaxLayerNode(float beta)34 SoftmaxLayerNode::SoftmaxLayerNode(float beta)
35     : _beta(beta)
36 {
37     _input_edges.resize(1, EmptyEdgeID);
38     _outputs.resize(1, NullTensorID);
39 }
40 
beta() const41 float SoftmaxLayerNode::beta() const
42 {
43     return _beta;
44 }
45 
forward_descriptors()46 bool SoftmaxLayerNode::forward_descriptors()
47 {
48     if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
49     {
50         Tensor *dst = output(0);
51         ARM_COMPUTE_ERROR_ON(dst == nullptr);
52         dst->desc() = configure_output(0);
53         return true;
54     }
55     return false;
56 }
57 
configure_output(size_t idx) const58 TensorDescriptor SoftmaxLayerNode::configure_output(size_t idx) const
59 {
60     ARM_COMPUTE_UNUSED(idx);
61     ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
62 
63     const Tensor *src = input(0);
64     ARM_COMPUTE_ERROR_ON(src == nullptr);
65 
66     TensorDescriptor out_desc = src->desc();
67     out_desc.quant_info       = get_softmax_output_quantization_info(out_desc.data_type, false);
68 
69     return out_desc;
70 }
71 
type() const72 NodeType SoftmaxLayerNode::type() const
73 {
74     return NodeType::SoftmaxLayer;
75 }
76 
accept(INodeVisitor & v)77 void SoftmaxLayerNode::accept(INodeVisitor &v)
78 {
79     v.visit(*this);
80 }
81 } // namespace graph
82 } // namespace arm_compute