580 lines
29 KiB
C++
580 lines
29 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_NEELEMENTWISEOPERATIONS_H
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#define ARM_COMPUTE_NEELEMENTWISEOPERATIONS_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/NEON/INEOperator.h"
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namespace arm_compute
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{
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class ITensor;
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/** Basic function to run @ref NEArithmeticOperationKernel for max
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*
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* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @note The function performs a max operation between two tensors.
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*/
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class NEElementwiseMax : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwiseMax();
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/** Default Destructor */
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~NEElementwiseMax();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseMax(const NEElementwiseMax &) = delete;
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/** Default move constructor */
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NEElementwiseMax(NEElementwiseMax &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseMax &operator=(const NEElementwiseMax &) = delete;
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/** Default move assignment operator */
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NEElementwiseMax &operator=(NEElementwiseMax &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for max
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*
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* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref NEArithmeticOperationKernel for min
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*
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* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @note The function performs a min operation between two tensors.
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*/
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class NEElementwiseMin : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwiseMin();
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/** Default Destructor */
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~NEElementwiseMin();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseMin(const NEElementwiseMin &) = delete;
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/** Default move constructor */
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NEElementwiseMin(NEElementwiseMin &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseMin &operator=(const NEElementwiseMin &) = delete;
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/** Default move assignment operator */
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NEElementwiseMin &operator=(NEElementwiseMin &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for min
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*
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* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref NEArithmeticOperationKernel for squared difference
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*
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* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
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*/
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class NEElementwiseSquaredDiff : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwiseSquaredDiff();
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/** Default Destructor */
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~NEElementwiseSquaredDiff();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseSquaredDiff(const NEElementwiseSquaredDiff &) = delete;
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/** Default move constructor */
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NEElementwiseSquaredDiff(NEElementwiseSquaredDiff &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseSquaredDiff &operator=(const NEElementwiseSquaredDiff &) = delete;
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/** Default move assignment operator */
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NEElementwiseSquaredDiff &operator=(NEElementwiseSquaredDiff &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for squared difference
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*
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* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref NEArithmeticOperationKernel for division
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*
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* @note The tensor data type for the inputs must be F16/F32.
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* @note The function performs a squared different operation between two tensors (i.e., out[i] = in1[i] / in2[i])
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*/
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class NEElementwiseDivision : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwiseDivision();
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/** Default Destructor */
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~NEElementwiseDivision();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseDivision(const NEElementwiseDivision &) = delete;
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/** Default move constructor */
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NEElementwiseDivision(NEElementwiseDivision &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseDivision &operator=(const NEElementwiseDivision &) = delete;
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/** Default move assignment operator */
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NEElementwiseDivision &operator=(NEElementwiseDivision &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for division
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*
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* @param[in] input1 First tensor input info. Data types supported: F16/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref NEArithmeticOperationKernel for power
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*
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* @note The tensor data type for the inputs must be F16/F32.
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* @note The function performs a elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
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* @note For an exponent that is a float, this function will only work with a positive base.
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*/
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class NEElementwisePower : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwisePower();
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/** Default Destructor */
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~NEElementwisePower();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwisePower(const NEElementwisePower &) = delete;
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/** Default move constructor */
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NEElementwisePower(NEElementwisePower &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwisePower &operator=(const NEElementwisePower &) = delete;
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/** Default move assignment operator */
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NEElementwisePower &operator=(NEElementwisePower &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for power
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*
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* @param[in] input1 First tensor input info. Data types supported: F16/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: Same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref NEComparisonOperationKernel.
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*
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* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @note The function performs a comparison operation between two tensors.
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*/
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class NEElementwiseComparison : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwiseComparison();
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/** Default Destructor */
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~NEElementwiseComparison();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseComparison(const NEElementwiseComparison &) = delete;
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/** Default move constructor */
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NEElementwiseComparison(NEElementwiseComparison &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseComparison &operator=(const NEElementwiseComparison &) = delete;
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/** Default move assignment operator */
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NEElementwiseComparison &operator=(NEElementwiseComparison &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: U8.
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* @param[in] op Comparison Operation to be performed.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output, ComparisonOperation op);
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/** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: U8.
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* @param[in] op Comparison Operation to be performed.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op);
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref NEComparisonOperationKernel
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*
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* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @note The function performs a comparison operation between two tensors.
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*/
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template <ComparisonOperation op>
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class NEElementwiseComparisonStatic : public IFunction
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{
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public:
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/** Default Constructor */
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NEElementwiseComparisonStatic();
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/** Default Destructor */
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~NEElementwiseComparisonStatic();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseComparisonStatic(const NEElementwiseComparisonStatic &) = delete;
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/** Default move constructor */
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NEElementwiseComparisonStatic(NEElementwiseComparisonStatic &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEElementwiseComparisonStatic &operator=(const NEElementwiseComparisonStatic &) = delete;
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/** Default move assignment operator */
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NEElementwiseComparisonStatic &operator=(NEElementwiseComparisonStatic &&);
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in, out] input2 Second tensor input. Data types supported: Same as @p input1.
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* @param[out] output Output tensor. Data types supported: U16/U32.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: U16/U32.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run equal comparison. */
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using NEEqual = NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
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/** Basic function to run not equal comparison. */
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using NENotEqual = NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
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/** Basic function to run greater comparison. */
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using NEGreater = NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
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/** Basic function to run greater-equal comparison. */
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using NEGreaterEqual = NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
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/** Basic function to run less comparison. */
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using NELess = NEElementwiseComparisonStatic<ComparisonOperation::Less>;
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/** Basic function to run less-equal comparison. */
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using NELessEqual = NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
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namespace experimental
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{
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/** Basic function to run @ref NEArithmeticOperationKernel for max
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*
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* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @note The function performs a max operation between two tensors.
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*/
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class NEElementwiseMax : public INEOperator
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{
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public:
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[out] output Output tensor info. Data types supported: Same as @p input1.
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*/
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void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output);
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/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for max
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*
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* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
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* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
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* @param[in] output Output tensor info. Data types supported: Same as @p input1.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
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};
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/** Basic function to run @ref NEArithmeticOperationKernel for min
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*
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* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @note The function performs a min operation between two tensors.
|
|
*/
|
|
class NEElementwiseMin : public INEOperator
|
|
{
|
|
public:
|
|
/** Initialise the kernel's inputs, output and conversion policy.
|
|
*
|
|
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
|
|
*/
|
|
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output);
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for min
|
|
*
|
|
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
|
|
};
|
|
|
|
/** Basic function to run @ref NEArithmeticOperationKernel for squared difference
|
|
*
|
|
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
|
|
*/
|
|
class NEElementwiseSquaredDiff : public INEOperator
|
|
{
|
|
public:
|
|
/** Initialise the kernel's inputs, output and conversion policy.
|
|
*
|
|
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
|
|
*/
|
|
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output);
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for squared difference
|
|
*
|
|
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
|
|
};
|
|
|
|
/** Basic function to run @ref NEArithmeticOperationKernel for division
|
|
*
|
|
* @note The tensor data type for the inputs must be S32/F16/F32.
|
|
* @note The function performs a division operation between two tensors (i.e., out[i] = in1[i] / in2[i])
|
|
*/
|
|
class NEElementwiseDivision : public INEOperator
|
|
{
|
|
public:
|
|
/** Initialise the kernel's inputs, output and conversion policy.
|
|
*
|
|
* @param[in, out] input1 First tensor input info. Data types supported: S32/F16/F32.
|
|
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
|
|
*/
|
|
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output);
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for division
|
|
*
|
|
* @param[in] input1 First tensor input info. Data types supported: S32/F16/F32.
|
|
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
|
|
};
|
|
|
|
/** Basic function to run @ref NEArithmeticOperationKernel for power
|
|
*
|
|
* @note The tensor data type for the inputs must be F16/F32.
|
|
* @note The function performs a elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
|
|
* @note For an exponent that is a float, this function will only work with a positive base.
|
|
*/
|
|
class NEElementwisePower : public INEOperator
|
|
{
|
|
public:
|
|
/** Initialise the kernel's inputs, output and conversion policy.
|
|
*
|
|
* @param[in, out] input1 First tensor input info. Data types supported: F16/F32.
|
|
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[out] output Output tensor info. Data types supported: Same as @p input1.
|
|
*/
|
|
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output);
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for power
|
|
*
|
|
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
|
|
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[in] output Output tensor info. Data types supported: Same as @p input1.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
|
|
};
|
|
|
|
/** Basic function to run @ref NEComparisonOperationKernel.
|
|
*
|
|
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @note The function performs a comparison operation between two tensors.
|
|
*/
|
|
class NEElementwiseComparison : public INEOperator
|
|
{
|
|
public:
|
|
/** Initialise the kernel's inputs, output and conversion policy.
|
|
*
|
|
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[out] output Output tensor info. Data types supported: U16/U32.
|
|
* @param[in] op Comparison Operation to be performed.
|
|
*/
|
|
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ComparisonOperation op);
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel
|
|
*
|
|
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[in] output Output tensor info. Data types supported: U16/U32.
|
|
* @param[in] op Comparison Operation to be performed.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op);
|
|
};
|
|
|
|
/** Basic function to run @ref NEComparisonOperationKernel
|
|
*
|
|
* @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @note The function performs a comparison operation between two tensors.
|
|
*/
|
|
template <ComparisonOperation op>
|
|
class NEElementwiseComparisonStatic : public INEOperator
|
|
{
|
|
public:
|
|
/** Initialise the kernel's inputs, output and conversion policy.
|
|
*
|
|
* @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[out] output Output tensor info. Data types supported: U16/U32.
|
|
*/
|
|
void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output);
|
|
/** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel
|
|
*
|
|
* @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32.
|
|
* @param[in] input2 Second tensor input info. Data types supported: Same as @p input1.
|
|
* @param[in] output Output tensor info. Data types supported: U16/U32.
|
|
*
|
|
* @return a status
|
|
*/
|
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output);
|
|
};
|
|
|
|
/** Basic function to run equal comparison. */
|
|
using NEEqual = NEElementwiseComparisonStatic<ComparisonOperation::Equal>;
|
|
/** Basic function to run not equal comparison. */
|
|
using NENotEqual = NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>;
|
|
/** Basic function to run greater comparison. */
|
|
using NEGreater = NEElementwiseComparisonStatic<ComparisonOperation::Greater>;
|
|
/** Basic function to run greater-equal comparison. */
|
|
using NEGreaterEqual = NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>;
|
|
/** Basic function to run less comparison. */
|
|
using NELess = NEElementwiseComparisonStatic<ComparisonOperation::Less>;
|
|
/** Basic function to run less-equal comparison. */
|
|
using NELessEqual = NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>;
|
|
} // namespace experimental
|
|
} // namespace arm_compute
|
|
#endif /* ARM_COMPUTE_NEELEMENTWISEOPERATIONS_H */
|