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
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016-2018 ARM Limited.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__
#define __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
#include "arm_compute/core/NEON/kernels/NENormalizationLayerExKernel.h"
#include "arm_compute/core/NEON/kernels/NEPixelWiseMultiplicationKernel.h"
#include "arm_compute/runtime/MemoryGroup.h"
namespace arm_compute
{
class ITensor;
/** Basic function to compute a normalization layer. This function calls the following NEON kernels:
*
* -# @ref NEPixelWiseMultiplicationKernel
* -# @ref NEFillBorderKernel
* -# @ref NENormalizationLayerKernelEx
*
*/
class NENormalizationLayerEx : public IFunction
{
public:
/** Default constructor */
NENormalizationLayerEx(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions
* [width, height, IFM],
* and an optional 4th dimension for batch of inputs. Data type supported:
* F16/F32
* @param[out] output Destination with the same dimensions, data type and number of channels of
* @p input
* @param[in] norm_info Normalization layer information like the normalization type,
* normalization size and other parameters.
*/
void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
/** Static function to check if given info will lead to a valid configuration of @ref
* NENormalizationLayer
*
* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions
* [width, height, IFM],
* and an optional 4th dimension for batch of inputs. Data type supported:
* F16/F32
* @param[in] output Destination with the same dimensions, data type and number of channels of
* @p input
* @param[in] norm_info Normalization layer information like the normalization type, normalization
* size and other parameters.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output,
const NormalizationLayerInfo &norm_info);
// Inherited methods overridden:
void run() override;
private:
MemoryGroup _memory_group; /**< Function memory group */
NENormalizationLayerExKernel _norm_kernel; /**< Normalization layer kernel */
NEPixelWiseMultiplicationKernel _multiply_kernel; /**< Pixel multiplication kernel */
NEFillBorderKernel _border_handler; /**< Kernel to handle borders */
Tensor _input_squared; /**< The intermediate buffer which stores results of squaring input */
};
}
#endif /* __ARM_COMPUTE_NENORMALIZATIONLAYEREX_H__ */
|
