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/*
* Copyright (c) 2017-2020 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_NENORMALIZATIONLAYER_H
#define ARM_COMPUTE_NENORMALIZATIONLAYER_H
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
#include "arm_compute/core/NEON/kernels/NENormalizationLayerKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h"
#include "arm_compute/runtime/Tensor.h"
#include <memory>
namespace arm_compute
{
class ITensor;
/** Basic function to compute a normalization layer. This function calls the following NEON kernels:
*
* -# @ref NEPixelWiseMultiplication
* -# @ref NEFillBorderKernel
* -# @ref NENormalizationLayerKernel
*
*/
class NENormalizationLayer : public IFunction
{
public:
/** Default constructor */
NENormalizationLayer(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. Data layouts supported: NCHW/NHWC.
* @param[out] output Destination with the same dimensions, data type, data layout 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. Data layouts supported: NCHW/NHWC.
* @param[in] output Destination with the same dimensions, data type, data layout 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 */
NENormalizationLayerKernel _norm_kernel; /**< Normalization layer kernel */
NEPixelWiseMultiplication _multiply_f; /**< Pixel multiplication function */
Tensor _input_squared; /**< The intermediate buffer which stores results of squaring input */
};
}
#endif /* ARM_COMPUTE_NENORMALIZATIONLAYER_H */
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