176 lines
6.8 KiB
C++
176 lines
6.8 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NEELEMENTWISEUNARYLAYER_H
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#define ARM_COMPUTE_NEELEMENTWISEUNARYLAYER_H
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#include "arm_compute/core/Error.h"
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#include "arm_compute/runtime/NEON/INESimpleFunctionNoBorder.h"
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namespace arm_compute
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{
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class ITensor;
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class ITensorInfo;
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/** Basic function to perform inverse square root on an input tensor. */
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class NERsqrtLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NERsqrtLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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/** Basic function to perform exponential on an input tensor. */
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class NEExpLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NEExpLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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/** Basic function to negate an input tensor. */
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class NENegLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32/S32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NENegLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32/S32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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/** Basic function to compute the natural logarithm of an input tensor. */
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class NELogLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NELogLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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/** Basic function to compute the absolute value of an input tensor. */
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class NEAbsLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32/S32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NEAbsLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32/S32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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/** Basic function to compute the round value elementwise of an input tensor. */
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class NERoundLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NERoundLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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/** Basic function to compute the sine of an input tensor. */
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class NESinLayer : public INESimpleFunctionNoBorder
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{
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public:
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/** Initialize the function
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*
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* @param[in] input Input tensor. Data types supported: F16/F32.
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* @param[out] output Output tensor. Data types supported: same as @p input.
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*/
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void configure(const ITensor *input, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NESinLayer
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*
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* @param[in] input First tensor input info. Data types supported: F16/F32.
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* @param[in] output Output tensor info. Data types supported: Same as @p input.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input, const ITensorInfo *output);
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NEELEMENTWISEUNARYLAYER_H */
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