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
|
/*
* Copyright (c) 2019-2021 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_NESPACETOBATCHLAYER_H
#define ARM_COMPUTE_NESPACETOBATCHLAYER_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/Types.h"
#include <memory>
namespace arm_compute
{
class ITensor;
class ITensorInfo;
class NESpaceToBatchLayerKernel;
class NEFill;
/** Basic function to spatial divide a tensor. This function calls the following NEON kernels/functions:
*
* -# @ref NEFill
* -# @ref NESpaceToBatchLayerKernel
*/
class NESpaceToBatchLayer : public IFunction
{
public:
/** Default constructor */
NESpaceToBatchLayer();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NESpaceToBatchLayer(const NESpaceToBatchLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NESpaceToBatchLayer &operator=(const NESpaceToBatchLayer &) = delete;
/** Allow instances of this class to be moved */
NESpaceToBatchLayer(NESpaceToBatchLayer &&) = default;
/** Allow instances of this class to be moved */
NESpaceToBatchLayer &operator=(NESpaceToBatchLayer &&) = default;
/** Default destructor */
~NESpaceToBatchLayer();
/** Set the input and output tensors.
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output);
/** Set the input and output tensors. (Static block shape and paddings)
*
* @param[in] input Tensor input. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] padding_left The padding at the beginning of every dimension of the output tensor.
* @param[in] padding_right The padding at the end of every dimension of the output tensor.
* @param[out] output Tensor output. Data types supported: same as @p input
*/
void configure(const ITensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayer
*
* @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape 1-D tensor with shape [M]. Supported M: 2. Data types supported: S32
* @param[in] paddings 2-D tensor with shape [2, M] (First dimension is the fastest-changing dimension). Supported M: 2. Data types supported: S32
* @param[in] output Tensor output info. Data types supported: same as @p input
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output);
/** Static function to check if given info will lead to a valid configuration of @ref NESpaceToBatchLayer (Static block shape and paddings)
*
* @param[in] input Tensor input info. Supported tensor rank: 4. Data types supported: All.
* @param[in] block_shape_x Block shape x value.
* @param[in] block_shape_y Block shape y value.
* @param[in] padding_left The padding at the beginning of every dimension of the output tensor.
* @param[in] padding_right The padding at the end of every dimension of the output tensor.
* @param[in] output Tensor output info. Data types supported: same as @p input
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, const ITensorInfo *output);
// Inherited methods overridden:
void run() override;
private:
std::unique_ptr<NESpaceToBatchLayerKernel> _space_to_batch_kernel; /**< SpaceToBatch kernel to run */
std::unique_ptr<NEFill> _fill_f; /**< Fill function to run */
bool _has_padding; /**< Flag to check if the output has padding */
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NESPACETOBATCHLAYER_H */
|
