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/*
* Copyright (c) 2019 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_NEINSTANCENORMALIZATIONLAYER_H__
#define __ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H__
#include "arm_compute/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEPermute.h"
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/runtime/Tensor.h"
#include <memory>
namespace arm_compute
{
class ITensor;
/** Basic function to perform a Instance normalization.
*
* This function runs the following kernels:
* -# @ref NEInstanceNormalizationLayerKernel
*/
class NEInstanceNormalizationLayer : public IFunction
{
public:
/** Constructor */
NEInstanceNormalizationLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input and output tensors.
*
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* Data types supported: F16/F32. Data layout supported: NHWC, NCHW
* @param[out] output Destination tensor. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
*/
void configure(ITensor *input, ITensor *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f);
/** Static function to check if given info will lead to a valid configuration of @ref NEInstanceNormalizationLayer.
*
* @param[in] input Source tensor info. Data types supported: F16/F32. Data layout supported: NHWC, NCHW
* @param[in] output Destination tensor info. Data types and data layouts supported: same as @p input.
* @param[in] gamma (Optional) The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta (Optional) The offset scalar value applied to the normalized tensor. Defaults to 0.0
* @param[in] epsilon (Optional) Lower bound value for the normalization. Defaults to 1e-12
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, float gamma = 1.0f, float beta = 0.0f, float epsilon = 1e-12f);
// Inherited methods overridden:
void run() override;
private:
MemoryGroup _memory_group;
NEInstanceNormalizationLayerKernel _normalization_kernel;
bool _is_nchw;
NEPermute _permute_input;
NEPermute _permute_output;
Tensor _permuted_input;
Tensor _permuted_output;
};
}
#endif /* __ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYER_H__ */
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