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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016-2018 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_NEPRELUKERNEL_H__
#define __ARM_COMPUTE_NEPRELUKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Interface for the kernel to perform Parametric Rectified Linear Unit
*
* Result is computed by:
* @f[ output(x) = alpha * x for x < 0, output(x) = x for x >= 0 @f]
*/
class NEPReLUKernel : public INEKernel
{
public:
const char *name() const override { return "NEPReLUKernel"; }
/** Default constructor */
NEPReLUKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPReLUKernel(const NEPReLUKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPReLUKernel &operator=(const NEPReLUKernel &) = delete;
/** Allow instances of this class to be moved */
NEPReLUKernel(NEPReLUKernel &&) = default;
/** Allow instances of this class to be moved */
NEPReLUKernel &operator=(NEPReLUKernel &&) = default;
/** Initialise the kernel's inputs and output
*
* @param[in] input Input tensor. Data type supported: QASYMM8/F32
* @param[in] alpha Alpha tensor. Data types supported: Same as @p input
* @param[out] output Output tensor. Data types supported: Same as @p input
*/
void configure(const ITensor *input, const ITensor *alpha, ITensor *output);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
/** Static function to check if given info will lead to a valid configuration of @ref
* NEPReLUKernel.h
*
* @param[in] input Input tensor input info. Data types supported: QASYMM8/F32.
* @param[in] alpha Alpha tensor input info. Data types supported: Same as @p input.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a Status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *alpha,
const ITensorInfo *output);
static Status validate_arguments(const ITensorInfo &input, const ITensorInfo &alpha,
const ITensorInfo &output);
private:
const ITensor *_input; /**< Source tensor */
const ITensor *_alpha; /**< Alpha tensor */
ITensor *_output; /**< Destination tensor */
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEPRELUKERNEL_H__ */
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