1 /*
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/ArgMinMaxLayerNode.h"
25
26 #include "arm_compute/graph/Graph.h"
27 #include "arm_compute/graph/INodeVisitor.h"
28
29 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
30
31 namespace arm_compute
32 {
33 namespace graph
34 {
ArgMinMaxLayerNode(ReductionOperation op,unsigned int axis,DataType out_data_type,QuantizationInfo out_quant_info)35 ArgMinMaxLayerNode::ArgMinMaxLayerNode(ReductionOperation op, unsigned int axis, DataType out_data_type, QuantizationInfo out_quant_info)
36 : _op(op), _axis(axis), _out_data_type(out_data_type), _out_quant_info(std::move(out_quant_info))
37 {
38 _input_edges.resize(1, EmptyEdgeID);
39 _outputs.resize(1, NullTensorID);
40 }
41
reduction_operation() const42 ReductionOperation ArgMinMaxLayerNode::reduction_operation() const
43 {
44 return _op;
45 }
46
axis() const47 unsigned int ArgMinMaxLayerNode::axis() const
48 {
49 return _axis;
50 }
51
out_data_type() const52 DataType ArgMinMaxLayerNode::out_data_type() const
53 {
54 return _out_data_type;
55 }
56
forward_descriptors()57 bool ArgMinMaxLayerNode::forward_descriptors()
58 {
59 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
60 {
61 Tensor *dst = output(0);
62 ARM_COMPUTE_ERROR_ON(dst == nullptr);
63 dst->desc() = configure_output(0);
64 return true;
65 }
66 return false;
67 }
68
configure_output(size_t idx) const69 TensorDescriptor ArgMinMaxLayerNode::configure_output(size_t idx) const
70 {
71 ARM_COMPUTE_UNUSED(idx);
72 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
73
74 const Tensor *src = input(0);
75 ARM_COMPUTE_ERROR_ON(src == nullptr);
76
77 TensorDescriptor output_info = src->desc();
78 if(!_out_quant_info.empty())
79 {
80 output_info.quant_info = _out_quant_info;
81 }
82
83 if(_out_data_type != DataType::UNKNOWN)
84 {
85 output_info.data_type = _out_data_type;
86 }
87
88 TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(output_info.shape, _axis, false);
89 output_info.set_shape(output_shape);
90
91 return output_info;
92 }
93
type() const94 NodeType ArgMinMaxLayerNode::type() const
95 {
96 return ArgMinMaxLayerNode::node_type;
97 }
98
accept(INodeVisitor & v)99 void ArgMinMaxLayerNode::accept(INodeVisitor &v)
100 {
101 v.visit(*this);
102 }
103 } // namespace graph
104 } // namespace arm_compute
105