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/*
* Copyright (c) 2017-2018 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_GCNORMALIZATIONLAYER_H__
#define __ARM_COMPUTE_GCNORMALIZATIONLAYER_H__
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/core/GLES_COMPUTE/kernels/GCFillBorderKernel.h"
#include "arm_compute/core/GLES_COMPUTE/kernels/GCNormalizationLayerKernel.h"
#include "arm_compute/core/GLES_COMPUTE/kernels/GCPixelWiseMultiplicationKernel.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCMemoryGroup.h"
#include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
#include "arm_compute/core/Types.h"
namespace arm_compute
{
class IGCTensor;
/** Basic function to compute a normalization layer. This function calls the following OpenGL ES kernels:
*
* -# @ref GCPixelWiseMultiplicationKernel
* -# @ref GCFillBorderKernel
* -# @ref GCNormalizationLayerKernel
*
*/
class GCNormalizationLayer : public IFunction
{
public:
/** Default constructor */
GCNormalizationLayer(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 types supported: F32. Number of channels must be 1.
* @param[out] output Destination tensor. Dimensions, data type and number of channels must match the input ones.
* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
*/
void configure(const IGCTensor *input, IGCTensor *output, const NormalizationLayerInfo &norm_info);
// Inherited methods overridden:
void run() override;
private:
GCMemoryGroup _memory_group;
GCTensor _squared_input; /**< The intermediate buffer which stores results of squaring input*/
GCNormalizationLayerKernel _norm_kernel; /**< Normalization layer kernel to run */
GCPixelWiseMultiplicationKernel _multiply_kernel; /**< Pixel multiplication kernel to run */
GCFillBorderKernel _border_handler; /**< Kernel to handle borders */
};
}
#endif /* __ARM_COMPUTE_GCNORMALIZATIONLAYER_H__ */
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