1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
|
/*
* Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_H__
#define __ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_H__
#include "arm_compute/graph/GraphContext.h"
#include "arm_compute/graph/INode.h"
#include "arm_compute/graph/ITensorObject.h"
#include "arm_compute/graph/SubTensor.h"
#include "arm_compute/graph/Tensor.h"
#include "arm_compute/graph/Types.h"
#include "arm_compute/runtime/IFunction.h"
#include <memory>
namespace arm_compute
{
namespace graph
{
/** Convolution layer node */
class ConvolutionLayer final : public INode
{
public:
/** Default Constructor
*
* @param[in] conv_width Convolution width
* @param[in] conv_height Convolution height
* @param[in] ofm Output feature map
* @param[in] weights Weights of the convolution layer
* @param[in] biases Bias of the convolution layer
* @param[in] conv_info Convolution information
* @param[in] num_groups (Optional) Number of groups, default = 1
* @param[in] weights_info (Optional) Weights information
* @param[in] weights_quant_info (Optional) Weights quantization information
* @param[in] out_quant_info (Optional) Output quantization info
*/
template <typename AccessorTypeWeights, typename AccessorTypeBiases>
ConvolutionLayer(unsigned int conv_width,
unsigned int conv_height,
unsigned int ofm,
AccessorTypeWeights &&weights,
AccessorTypeBiases &&biases,
const PadStrideInfo conv_info,
unsigned int num_groups = 1,
const WeightsInfo weights_info = WeightsInfo(),
const QuantizationInfo weights_quant_info = QuantizationInfo(),
const QuantizationInfo out_quant_info = QuantizationInfo())
: _conv_width(conv_width),
_conv_height(conv_height),
_ofm(ofm),
_weights(std::move(weights)),
_biases(std::move(biases)),
_conv_info(std::move(conv_info)),
_num_groups(num_groups),
_weights_info(std::move(weights_info)),
_weights_quant_info(std::move(weights_quant_info)),
_out_quant_info(std::move(out_quant_info)),
_is(nullptr),
_os(nullptr),
_ws(nullptr),
_bs(nullptr)
{
}
// Inherited methods overriden:
std::unique_ptr<arm_compute::IFunction> instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) override;
private:
/** Instantiates a non-grouped convolution
*
* @param[in] input Input tensor
* @param[in] output Output tensor
* @param[in] conv_method_hint Hint that specifies which convolution layer method to use
*
* @return Convolution function
*/
std::unique_ptr<arm_compute::IFunction> instantiate_convolution(ITensor *input, ITensor *output, ConvolutionMethodHint conv_method_hint);
/** Instantiates a grouped convolution
*
* @param[in] input Input tensor
* @param[in] output Output tensor
* @param[in] conv_method_hint Hint that specifies which convolution layer method to use
*
* @return Grouped Convolution function
*/
std::unique_ptr<arm_compute::IFunction> instantiate_grouped_convolution(ITensor *input, ITensor *output, ConvolutionMethodHint conv_method_hint);
private:
unsigned int _conv_width; /**< Convolution width */
unsigned int _conv_height; /**< Convolution height */
unsigned int _ofm; /**< Output feature maps */
Tensor _weights; /**< Weights tensor */
Tensor _biases; /**< Biases tensor */
const PadStrideInfo _conv_info; /**< Convolution layer information */
unsigned int _num_groups; /**< Number of groups */
const WeightsInfo _weights_info; /**< Convolution layer weights information */
const QuantizationInfo _weights_quant_info; /**< Output quantization information */
const QuantizationInfo _out_quant_info; /**< Output quantization information */
std::unique_ptr<SubTensor[]> _is; /**< Input tensor sub-tensors used for grouped convolution */
std::unique_ptr<SubTensor[]> _os; /**< Output tensor sub-tensors used for grouped convolution */
std::unique_ptr<SubTensor[]> _ws; /**< Weights tensor sub-tensors used for grouped convolution */
std::unique_ptr<SubTensor[]> _bs; /**< Biases tensor sub-tensors used for grouped convolution */
};
} // namespace graph
} // namespace arm_compute
#endif /* __ARM_COMPUTE_GRAPH_CONVOLUTION_LAYER_H__ */
|
