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/*
* Copyright (c) 2018-2020 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_NEELEMENTWISEUNARYLAYER_H
#define ARM_COMPUTE_NEELEMENTWISEUNARYLAYER_H
#include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h"
namespace arm_compute
{
class ITensor;
/** Basic function to perform inverse square root on an input tensor. */
class NERsqrtLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NERsqrtLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Basic function to perform exponential on an input tensor. */
class NEExpLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEExpLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Basic function to negate an input tensor. */
class NENegLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32/S32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NENegLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32/S32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Basic function to compute the natural logarithm of an input tensor. */
class NELogLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NELogLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Basic function to compute the absolute value of an input tensor. */
class NEAbsLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32/S32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NEAbsLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32/S32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Basic function to compute the round value elementwise of an input tensor. */
class NERoundLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NERoundLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Basic function to compute the sine of an input tensor. */
class NESinLayer : public INESimpleFunctionNoBorder
{
public:
/** Initialize the function
*
* @param[in] input Input tensor. Data types supported: F16/F32.
* @param[out] output Output tensor. Data types supported: same as @p input.
*/
void configure(const ITensor *input, ITensor *output);
/** Static function to check if given info will lead to a valid configuration of @ref NESinLayer
*
* @param[in] input First tensor input info. Data types supported: F16/F32.
* @param[in] output Output tensor info. Data types supported: Same as @p input.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEELEMENTWISEUNARYLAYER_H */
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