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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_NEMEANSTDDEVNORMALIZATIONKERNEL_H
#define ARM_COMPUTE_NEMEANSTDDEVNORMALIZATIONKERNEL_H
#include "arm_compute/core/NEON/INEKernel.h"
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
#include <arm_fp16.h>
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
namespace arm_compute
{
class ITensor;
/** Interface for the kernel to normalize the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension. */
class NEMeanStdDevNormalizationKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEMeanStdDevNormalizationKernel";
}
/** Default constructor */
NEMeanStdDevNormalizationKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEMeanStdDevNormalizationKernel(const NEMeanStdDevNormalizationKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEMeanStdDevNormalizationKernel &operator=(const NEMeanStdDevNormalizationKernel &) = delete;
/** Allow instances of this class to be moved */
NEMeanStdDevNormalizationKernel(NEMeanStdDevNormalizationKernel &&) = default;
/** Allow instances of this class to be moved */
NEMeanStdDevNormalizationKernel &operator=(NEMeanStdDevNormalizationKernel &&) = default;
/** Default destructor */
~NEMeanStdDevNormalizationKernel() = default;
/** Initialise the kernel's input and outputs.
*
* @note If the output tensor is a nullptr, the normalization will be performed in-place.
*
* @param[in, out] input Source tensor with 2 dimensions. In case of @p output tensor = nullptr,
* this tensor will store the result of the normalization. Data types supported: F16/F32.
* @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
* @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
*/
void configure(ITensor *input, ITensor *output = nullptr, float epsilon = 1e-8f);
/** Static function to check if given info will lead to a valid configuration of @ref NEMeanStdDevNormalizationKernel
*
* @param[in] input Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr,
* this tensor will store the result of the normalization. Data types supported: F16/F32.
* @param[in] output (Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as @p input
* @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output = nullptr, float epsilon = 1e-8f);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
/** Normalizes the input with respect to mean and standard deviation.
*
* @param[in] window Region on which to execute the kernel.
*/
template <typename ScalarType, int size>
void mean_stddev_normalization(const Window &window);
ITensor *_input;
ITensor *_output;
float _epsilon;
using MeanStdDevNormFunction = void (NEMeanStdDevNormalizationKernel::*)(const Window &window);
MeanStdDevNormFunction _func;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEMEANSTDDEVNORMALIZATIONKERNEL_H */
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