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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_NEINSTANCENORMALIZATIONLAYERKERNEL_H
#define ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYERKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Interface for performing an instance normalization */
class NEInstanceNormalizationLayerKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEInstanceNormalizationLayerKernel";
}
/** Default constructor */
NEInstanceNormalizationLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEInstanceNormalizationLayerKernel(const NEInstanceNormalizationLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEInstanceNormalizationLayerKernel &operator=(const NEInstanceNormalizationLayerKernel &) = delete;
/** Allow instances of this class to be moved */
NEInstanceNormalizationLayerKernel(NEInstanceNormalizationLayerKernel &&) = default;
/** Allow instances of this class to be moved */
NEInstanceNormalizationLayerKernel &operator=(NEInstanceNormalizationLayerKernel &&) = default;
/** Default destructor */
~NEInstanceNormalizationLayerKernel() = default;
/** Set the input and output tensors.
*
* @param[in, out] input Source tensor. Data types supported: F16/F32. Data layout supported: NCHW
* In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* @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: 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(const Window &window, const ThreadInfo &info) override;
private:
/** Common signature for all the specialized instance normalization functions
*
* @param[in, out] input An input tensor. In case of @p output tensor = nullptr this tensor will store the result of the normalization.
* @param[out] output The output tensor.
* @param[in] gamma The scale scalar value applied to the normalized tensor. Defaults to 1.0
* @param[in] beta The offset scalar value applied to the normalized tensor. Defaults to 0.0
* @param[in] epsilon Lower bound value for the normalization. Defaults to 1e-12
*/
using NormalizationFunction = void(ITensor *input, ITensor *output, float gamma, float beta, float epsilon, const Window &window);
NormalizationFunction *_func;
ITensor *_input;
ITensor *_output;
float _gamma;
float _beta;
float _epsilon;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_NEINSTANCENORMALIZATIONLAYERKERNEL_H */
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