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Jenkinsb3a371b2018-05-23 11:36:53 +01001/*
Jenkins18b685f2020-08-21 10:26:22 +01002 * Copyright (c) 2018-2019 Arm Limited.
Jenkinsb3a371b2018-05-23 11:36:53 +01003 *
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 */
Jenkins36ccc902020-02-21 11:10:48 +000024#ifndef ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_NODE_H
25#define ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_NODE_H
Jenkinsb3a371b2018-05-23 11:36:53 +010026
27#include "arm_compute/graph/INode.h"
28
29namespace arm_compute
30{
31namespace graph
32{
33/** Convolution Layer node */
34class ConvolutionLayerNode final : public INode
35{
36public:
37 /** Constructor
38 *
39 * @param[in] info Convolution layer attributes
Jenkins52ba29e2018-08-29 15:32:11 +000040 * @param[in] num_groups (Optional) Number of groups (Defaults to 1)
Jenkinsb3a371b2018-05-23 11:36:53 +010041 * @param[in] method (Optional) Convolution method to use
42 * @param[in] fast_math_hint (Optional) Fast math hint
43 * @param[in] out_quant_info (Optional) Output quantization info
44 */
Jenkins52ba29e2018-08-29 15:32:11 +000045 ConvolutionLayerNode(PadStrideInfo info,
46 unsigned int num_groups = 1,
47 ConvolutionMethod method = ConvolutionMethod::Default,
48 FastMathHint fast_math_hint = FastMathHint::Disabled,
49 QuantizationInfo out_quant_info = QuantizationInfo());
Jenkinsb3a371b2018-05-23 11:36:53 +010050 /** Sets the convolution layer method to use
51 *
52 * @param[in] method Method to use for convolution
53 */
54 void set_convolution_method(ConvolutionMethod method);
55 /** Convolution layer method accessor
56 *
57 * @note This is an indication on which convolution layer implementation to use,
58 * if it fails to be created the library's heuristic approach will be used
59 *
60 * @return Convolution layer method to be used by the node
61 */
62 ConvolutionMethod convolution_method() const;
63 /** Sets the fast math fast hint
64 *
65 * @param[in] hint Hint to use for convolution
66 */
67 void set_fast_math_hint(FastMathHint hint);
68 /** Fast math hint accessor
69 *
70 * @return Fast math hint to be used by the node
71 */
72 FastMathHint fast_math_hint() const;
73 /** Convolution metadata accessor
74 *
75 * @return Convolution information
76 */
77 PadStrideInfo convolution_info() const;
Jenkins52ba29e2018-08-29 15:32:11 +000078 /** Number of groups in convolution accessor
79 *
80 * @return Number of groups in convolution
81 */
82 unsigned int num_groups() const;
Jenkinsb9abeae2018-11-22 11:58:08 +000083 /** Returns fused activation
84 *
85 * @return Fused activation
86 */
87 ActivationLayerInfo fused_activation() const;
88 /** Sets fused activation
89 *
90 * @param[in] fused_activation Fused activation to set
91 */
92 void set_fused_activation(ActivationLayerInfo fused_activation);
Jenkinsb3a371b2018-05-23 11:36:53 +010093 /** Computes convolution output descriptor
94 *
95 * @param[in] input_descriptor Input descriptor
96 * @param[in] weights_descriptor Weights descriptor
97 * @param[in] info Convolution operation attributes
98 *
99 * @return Output descriptor
100 */
101 static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor,
102 const TensorDescriptor &weights_descriptor,
103 const PadStrideInfo &info);
104
105 // Inherited overridden methods:
106 NodeType type() const override;
107 bool forward_descriptors() override;
108 TensorDescriptor configure_output(size_t idx) const override;
109 void accept(INodeVisitor &v) override;
110
Jenkinsb9abeae2018-11-22 11:58:08 +0000111public:
112 static constexpr NodeType node_type = NodeType::ConvolutionLayer;
113
Jenkinsb3a371b2018-05-23 11:36:53 +0100114private:
Jenkinsb9abeae2018-11-22 11:58:08 +0000115 PadStrideInfo _info;
116 unsigned int _num_groups;
117 ConvolutionMethod _method;
118 FastMathHint _fast_math_hint;
119 QuantizationInfo _out_quant_info;
120 ActivationLayerInfo _fused_activation;
Jenkinsb3a371b2018-05-23 11:36:53 +0100121};
122} // namespace graph
123} // namespace arm_compute
Jenkins36ccc902020-02-21 11:10:48 +0000124#endif /* ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_NODE_H */