94 lines
4.7 KiB
C++
94 lines
4.7 KiB
C++
/*
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* Copyright (c) 2017-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NENORMALIZATIONLAYER_H
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#define ARM_COMPUTE_NENORMALIZATIONLAYER_H
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/IMemoryManager.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h"
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#include "arm_compute/runtime/Tensor.h"
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#include <memory>
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namespace arm_compute
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{
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class ITensor;
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class NENormalizationLayerKernel;
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/** Basic function to compute a normalization layer. This function calls the following NEON kernels:
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*
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* -# @ref NEPixelWiseMultiplication
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* -# @ref NEFillBorderKernel
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* -# @ref NENormalizationLayerKernel
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*
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*/
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class NENormalizationLayer : public IFunction
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{
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public:
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/** Default constructor */
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NENormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NENormalizationLayer(const NENormalizationLayer &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NENormalizationLayer &operator=(const NENormalizationLayer &) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NENormalizationLayer(NENormalizationLayer &&) = delete;
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/** Prevent instances of this class from being moved (As this class contains non movable objects) */
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NENormalizationLayer &operator=(NENormalizationLayer &&) = delete;
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/** Default destructor */
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~NENormalizationLayer();
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/** Set the input and output tensors.
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*
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* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
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* and an optional 4th dimension for batch of inputs. Data type supported: F16/F32. Data layouts supported: NCHW/NHWC.
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* @param[out] output Destination with the same dimensions, data type, data layout and number of channels of @p input
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* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
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*/
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void configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info);
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/** Static function to check if given info will lead to a valid configuration of @ref NENormalizationLayer
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*
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* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
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* and an optional 4th dimension for batch of inputs. Data type supported: F16/F32. Data layouts supported: NCHW/NHWC.
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* @param[in] output Destination with the same dimensions, data type, data layout and number of channels of @p input
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* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info);
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// Inherited methods overridden:
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void run() override;
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private:
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MemoryGroup _memory_group; /**< Function memory group */
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std::unique_ptr<NENormalizationLayerKernel> _norm_kernel; /**< Normalization layer kernel */
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NEPixelWiseMultiplication _multiply_f; /**< Pixel multiplication function */
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Tensor _input_squared; /**< The intermediate buffer which stores results of squaring input */
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};
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}
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#endif /* ARM_COMPUTE_NENORMALIZATIONLAYER_H */
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