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
129
130
131
132
|
/*
* Copyright (c) 2018-2021 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_NEPADLAYER_H
#define ARM_COMPUTE_NEPADLAYER_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
#include "arm_compute/runtime/NEON/functions/NECopy.h"
#include "arm_compute/runtime/NEON/functions/NEStridedSlice.h"
#include "arm_compute/runtime/SubTensor.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/Tensor.h"
#include <memory>
namespace arm_compute
{
class NEPadLayerKernel;
/** Basic function to pad a tensor. This function calls the following functions/kernels:
*
* - For padding mode = PaddingMode::CONSTANT:
* -# @ref NEPadLayerKernel
* - Otherwise:
* -# @ref NECopy
* -# @ref NEStridedSlice
* -# @ref NEConcatenateLayer
*
*/
class NEPadLayer : public IFunction
{
public:
/** Default Constructor */
NEPadLayer();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPadLayer(const NEPadLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPadLayer &operator=(const NEPadLayer &) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NEPadLayer(NEPadLayer &&) = delete;
/** Prevent instances of this class from being moved (As this class contains non movable objects) */
NEPadLayer &operator=(NEPadLayer &&) = delete;
/** Default destructor */
~NEPadLayer();
/** Initialize the function
*
* Valid data layouts:
* - NHWC
* - NCHW
*
* Valid data type configurations:
* |src |dst |
* |:--------|:---------|
* |All |All |
*
* @param[in] input Source tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: same as @p input
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value (Optional) Constant value to be used for the padding
* @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
* or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
*/
void configure(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value = PixelValue(), const PaddingMode mode = PaddingMode::CONSTANT);
/** Static function to check if given info will lead to a valid configuration of @ref NEPadLayer.
*
* @param[in] input Source tensor info. Data types supported: All.
* @param[in] output Output tensor info. Data type supported: same as @p input
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value (Optional) Constant value to be used for the padding
* @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
* or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, const PixelValue constant_value = PixelValue(), const PaddingMode mode = PaddingMode::CONSTANT);
// Inherited methods overridden:
void run() override;
private:
/** Configure kernels for when constant padding is used.
*
* @param[in] input Source tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: same as @p input
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value Constant value to be used for the padding
*/
void configure_constant_mode(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value);
/** Configure functions for when reflect or symmetric padding is used.
*
* @param[in] input Source tensor. Data types supported: All.
* @param[out] output Output tensor. Data type supported: same as @p input
*/
void configure_reflect_symmetric_mode(ITensor *input, ITensor *output);
private:
NECopy _copy_function;
std::unique_ptr<NEPadLayerKernel> _pad_kernel;
PaddingMode _mode;
PaddingList _padding;
uint32_t _num_dimensions;
std::vector<NEStridedSlice> _slice_functions;
std::vector<NEConcatenateLayer> _concat_functions;
std::vector<Tensor> _slice_results;
std::vector<Tensor> _concat_results;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEPADLAYER_H */
|
