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1 /*
2  * Copyright (c) 2017-2020 Arm Limited.
3  *
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  */
24 #ifndef ARM_COMPUTE_NENORMALIZATIONLAYER_H
25 #define ARM_COMPUTE_NENORMALIZATIONLAYER_H
26 
27 #include "arm_compute/runtime/IFunction.h"
28 
29 #include "arm_compute/core/Types.h"
30 #include "arm_compute/runtime/IMemoryManager.h"
31 #include "arm_compute/runtime/MemoryGroup.h"
32 #include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h"
33 #include "arm_compute/runtime/Tensor.h"
34 
35 #include <memory>
36 
37 namespace arm_compute
38 {
39 class ITensor;
40 class NENormalizationLayerKernel;
41 
42 /** Basic function to compute a normalization layer. This function calls the following NEON kernels:
43  *
44  * -# @ref NEPixelWiseMultiplication
45  * -# @ref NEFillBorderKernel
46  * -# @ref NENormalizationLayerKernel
47  *
48  */
49 class NENormalizationLayer : public IFunction
50 {
51 public:
52     /** Default constructor */
53     NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
54     /** Prevent instances of this class from being copied (As this class contains pointers) */
55     NENormalizationLayer(const NENormalizationLayer &) = delete;
56     /** Prevent instances of this class from being copied (As this class contains pointers) */
57     NENormalizationLayer &operator=(const NENormalizationLayer &) = delete;
58     /** Prevent instances of this class from being moved (As this class contains non movable objects) */
59     NENormalizationLayer(NENormalizationLayer &&) = delete;
60     /** Prevent instances of this class from being moved (As this class contains non movable objects) */
61     NENormalizationLayer &operator=(NENormalizationLayer &&) = delete;
62     /** Default destructor */
63     ~NENormalizationLayer();
64     /** Set the input and output tensors.
65      *
66      * @param[in]  input     Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
67      *                       and an optional 4th dimension for batch of inputs. Data type supported: F16/F32. Data layouts supported: NCHW/NHWC.
68      * @param[out] output    Destination with the same dimensions, data type, data layout and number of channels of  @p input
69      * @param[in]  norm_info Normalization layer information like the normalization type, normalization size and other parameters.
70      */
71     void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
72     /** Static function to check if given info will lead to a valid configuration of @ref NENormalizationLayer
73      *
74      * @param[in] input     Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
75      *                      and an optional 4th dimension for batch of inputs. Data type supported: F16/F32. Data layouts supported: NCHW/NHWC.
76      * @param[in] output    Destination with the same dimensions, data type, data layout and number of channels of  @p input
77      * @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
78      *
79      * @return a status
80      */
81     static Status validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info);
82 
83     // Inherited methods overridden:
84     void run() override;
85 
86 private:
87     MemoryGroup                                 _memory_group;  /**< Function memory group */
88     std::unique_ptr<NENormalizationLayerKernel> _norm_kernel;   /**< Normalization layer kernel */
89     NEPixelWiseMultiplication                   _multiply_f;    /**< Pixel multiplication function */
90     Tensor                                      _input_squared; /**< The intermediate buffer which stores results of squaring input */
91 };
92 }
93 #endif /* ARM_COMPUTE_NENORMALIZATIONLAYER_H */
94