866 lines
50 KiB
C
866 lines
50 KiB
C
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/*
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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_CLELEMENTWISEOPERATIONS_H
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#define ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H
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#include "arm_compute/runtime/CL/ICLOperator.h"
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#include "arm_compute/runtime/IFunction.h"
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namespace arm_compute
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{
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class ICLTensor;
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class CLCompileContext;
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class ITensorInfo;
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namespace experimental
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{
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/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for addition
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*
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* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @note The function performs an arithmetic addition between two tensors.
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*/
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class CLArithmeticAddition : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLArithmeticAddition();
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (S16,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,S16) -> S16
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* - (S32,S32) -> S32
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] policy Policy to use to handle overflow.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, ConvertPolicy policy,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for addition
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (S16,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,S16) -> S16
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* - (S32,S32) -> S32
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] policy Policy to use to handle overflow.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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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, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run(ITensorPack &tensors) override;
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};
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/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for subtraction
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*
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* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/S32/F16/F32.
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* @note The function performs an arithmetic subtraction between two tensors.
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*/
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class CLArithmeticSubtraction : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLArithmeticSubtraction();
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (S16,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,S16) -> S16
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* - (S32,S32) -> S32
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] policy Policy to use to handle overflow.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, ConvertPolicy policy,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for subtraction
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (S16,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,S16) -> S16
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* - (S32,S32) -> S32
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
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* @param[in] policy Policy to use to handle overflow.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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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, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run(ITensorPack &tensors) override;
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};
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/** Basic function to run @ref CLSaturatedArithmeticOperationKernel 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 an arithmetic division between two tensors.
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*/
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class CLArithmeticDivision : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLArithmeticDivision();
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/** Initialise the kernel's inputs, output.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 Second tensor input. Same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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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.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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 CLArithmeticDivision
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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.
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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(ITensorPack &tensors) override;
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};
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/** Basic function to run @ref CLArithmeticOperationKernel for max
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*
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* @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
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* @note The function performs a max operation between two tensors.
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*/
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class CLElementwiseMax : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLElementwiseMax();
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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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.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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 CLArithmeticOperationKernel for max
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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.
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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(ITensorPack &tensors) override;
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};
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/** Basic function to run @ref CLArithmeticOperationKernel for min
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*
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* @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
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* @note The function performs a max operation between two tensors.
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*/
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class CLElementwiseMin : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLElementwiseMin();
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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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.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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 CLArithmeticOperationKernel for min
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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.
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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(ITensorPack &tensors) override;
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};
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/** Basic function to run @ref CLArithmeticOperationKernel for squared difference
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*
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* @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/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])^2
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*/
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class CLElementwiseSquaredDiff : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLElementwiseSquaredDiff();
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/** Initialise the kernel's inputs, output and conversion policy.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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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.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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 CLArithmeticOperationKernel for squared difference
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*
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* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/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.
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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(ITensorPack &tensors) override;
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};
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/** Basic function to run @ref CLArithmeticOperationKernel 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 an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
|
||
|
*/
|
||
|
class CLElementwisePower : public ICLOperator
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLElementwisePower();
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported:F16/F32.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for power
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
|
||
|
* @param[in] input2 Second tensor input info. Data types supported: F16/F32.
|
||
|
* @param[in] output Output tensor info. Data types supported: F16/F32.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run(ITensorPack &tensors) override;
|
||
|
};
|
||
|
} // namespace experimental
|
||
|
|
||
|
/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for addition
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @note The function performs an arithmetic addition between two tensors.
|
||
|
*/
|
||
|
class CLArithmeticAddition : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLArithmeticAddition();
|
||
|
/** Default Destructor */
|
||
|
~CLArithmeticAddition();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLArithmeticAddition(const CLArithmeticAddition &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLArithmeticAddition(CLArithmeticAddition &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLArithmeticAddition &operator=(const CLArithmeticAddition &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLArithmeticAddition &operator=(CLArithmeticAddition &&);
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* Valid configurations (Input1,Input2) -> Output :
|
||
|
*
|
||
|
* - (U8,U8) -> U8
|
||
|
* - (U8,U8) -> S16
|
||
|
* - (S16,U8) -> S16
|
||
|
* - (U8,S16) -> S16
|
||
|
* - (S16,S16) -> S16
|
||
|
* - (S32,S32) -> S32
|
||
|
* - (F16,F16) -> F16
|
||
|
* - (F32,F32) -> F32
|
||
|
* - (QASYMM8,QASYMM8) -> QASYMM8
|
||
|
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
|
||
|
* - (QSYMM16,QSYMM16) -> QSYMM16
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] policy Policy to use to handle overflow.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* Valid configurations (Input1,Input2) -> Output :
|
||
|
*
|
||
|
* - (U8,U8) -> U8
|
||
|
* - (U8,U8) -> S16
|
||
|
* - (S16,U8) -> S16
|
||
|
* - (U8,S16) -> S16
|
||
|
* - (S16,S16) -> S16
|
||
|
* - (S32,S32) -> S32
|
||
|
* - (F16,F16) -> F16
|
||
|
* - (F32,F32) -> F32
|
||
|
* - (QASYMM8,QASYMM8) -> QASYMM8
|
||
|
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
|
||
|
* - (QSYMM16,QSYMM16) -> QSYMM16
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] policy Policy to use to handle overflow.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy,
|
||
|
const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for addition
|
||
|
*
|
||
|
* Valid configurations (Input1,Input2) -> Output :
|
||
|
*
|
||
|
* - (U8,U8) -> U8
|
||
|
* - (U8,U8) -> S16
|
||
|
* - (S16,U8) -> S16
|
||
|
* - (U8,S16) -> S16
|
||
|
* - (S16,S16) -> S16
|
||
|
* - (S32,S32) -> S32
|
||
|
* - (F16,F16) -> F16
|
||
|
* - (F32,F32) -> F32
|
||
|
* - (QASYMM8,QASYMM8) -> QASYMM8
|
||
|
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
|
||
|
* - (QSYMM16,QSYMM16) -> QSYMM16
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] policy Policy to use to handle overflow.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
|
||
|
/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for subtraction
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/S32/F16/F32.
|
||
|
* @note The function performs an arithmetic subtraction between two tensors.
|
||
|
*/
|
||
|
class CLArithmeticSubtraction : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLArithmeticSubtraction();
|
||
|
/** Default Destructor */
|
||
|
~CLArithmeticSubtraction();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLArithmeticSubtraction(const CLArithmeticSubtraction &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLArithmeticSubtraction(CLArithmeticSubtraction &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLArithmeticSubtraction &operator=(const CLArithmeticSubtraction &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLArithmeticSubtraction &operator=(CLArithmeticSubtraction &&);
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* Valid configurations (Input1,Input2) -> Output :
|
||
|
*
|
||
|
* - (U8,U8) -> U8
|
||
|
* - (U8,U8) -> S16
|
||
|
* - (S16,U8) -> S16
|
||
|
* - (U8,S16) -> S16
|
||
|
* - (S16,S16) -> S16
|
||
|
* - (S32,S32) -> S32
|
||
|
* - (F16,F16) -> F16
|
||
|
* - (F32,F32) -> F32
|
||
|
* - (QASYMM8,QASYMM8) -> QASYMM8
|
||
|
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
|
||
|
* - (QSYMM16,QSYMM16) -> QSYMM16
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] policy Policy to use to handle overflow.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* Valid configurations (Input1,Input2) -> Output :
|
||
|
*
|
||
|
* - (U8,U8) -> U8
|
||
|
* - (U8,U8) -> S16
|
||
|
* - (S16,U8) -> S16
|
||
|
* - (U8,S16) -> S16
|
||
|
* - (S16,S16) -> S16
|
||
|
* - (S32,S32) -> S32
|
||
|
* - (F16,F16) -> F16
|
||
|
* - (F32,F32) -> F32
|
||
|
* - (QASYMM8,QASYMM8) -> QASYMM8
|
||
|
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
|
||
|
* - (QSYMM16,QSYMM16) -> QSYMM16
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] policy Policy to use to handle overflow.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, ConvertPolicy policy,
|
||
|
const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for subtraction
|
||
|
*
|
||
|
* Valid configurations (Input1,Input2) -> Output :
|
||
|
*
|
||
|
* - (U8,U8) -> U8
|
||
|
* - (U8,U8) -> S16
|
||
|
* - (S16,U8) -> S16
|
||
|
* - (U8,S16) -> S16
|
||
|
* - (S16,S16) -> S16
|
||
|
* - (S32,S32) -> S32
|
||
|
* - (F16,F16) -> F16
|
||
|
* - (F32,F32) -> F32
|
||
|
* - (QASYMM8,QASYMM8) -> QASYMM8
|
||
|
* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
|
||
|
* - (QSYMM16,QSYMM16) -> QSYMM16
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] input2 Second tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
|
||
|
* @param[in] policy Policy to use to handle overflow.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
|
||
|
/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for division
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be F16/F32.
|
||
|
* @note The function performs an arithmetic division between two tensors.
|
||
|
*/
|
||
|
class CLArithmeticDivision : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLArithmeticDivision();
|
||
|
/** Default Destructor */
|
||
|
~CLArithmeticDivision();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLArithmeticDivision(const CLArithmeticDivision &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLArithmeticDivision(CLArithmeticDivision &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLArithmeticDivision &operator=(const CLArithmeticDivision &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLArithmeticDivision &operator=(CLArithmeticDivision &&);
|
||
|
/** Initialise the kernel's inputs, output.
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: Same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output.
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: Same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision
|
||
|
*
|
||
|
* @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.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
|
||
|
/** Basic function to run @ref CLArithmeticOperationKernel for max
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
|
||
|
* @note The function performs a max operation between two tensors.
|
||
|
*/
|
||
|
class CLElementwiseMax : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLElementwiseMax();
|
||
|
/** Default Destructor */
|
||
|
~CLElementwiseMax();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwiseMax(const CLElementwiseMax &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLElementwiseMax(CLElementwiseMax &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwiseMax &operator=(const CLElementwiseMax &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLElementwiseMax &operator=(CLElementwiseMax &&);
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for max
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
|
||
|
/** Basic function to run @ref CLArithmeticOperationKernel for min
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be U8/QASYMM8/S16/QSYMM16/S32/U32/F16/F32.
|
||
|
* @note The function performs a max operation between two tensors.
|
||
|
*/
|
||
|
class CLElementwiseMin : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLElementwiseMin();
|
||
|
/** Default Destructor */
|
||
|
~CLElementwiseMin();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwiseMin(const CLElementwiseMin &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLElementwiseMin(CLElementwiseMin &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwiseMin &operator=(const CLElementwiseMin &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLElementwiseMin &operator=(CLElementwiseMin &&);
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for min
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/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.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
|
||
|
/** Basic function to run @ref CLArithmeticOperationKernel for squared difference
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be QASYMM8/U8/S16/QSYMM16/F16/F32.
|
||
|
* @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2
|
||
|
*/
|
||
|
class CLElementwiseSquaredDiff : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLElementwiseSquaredDiff();
|
||
|
/** Default Destructor */
|
||
|
~CLElementwiseSquaredDiff();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwiseSquaredDiff(const CLElementwiseSquaredDiff &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLElementwiseSquaredDiff(CLElementwiseSquaredDiff &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwiseSquaredDiff &operator=(const CLElementwiseSquaredDiff &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLElementwiseSquaredDiff &operator=(CLElementwiseSquaredDiff &&);
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: same as @p input1.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported: same as @p input1.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for squared difference
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/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.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
|
||
|
/** Basic function to run @ref CLArithmeticOperationKernel for power
|
||
|
*
|
||
|
* @note The tensor data type for the inputs must be F16/F32.
|
||
|
* @note The function performs an elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i])
|
||
|
*/
|
||
|
class CLElementwisePower : public IFunction
|
||
|
{
|
||
|
public:
|
||
|
/** Default Constructor */
|
||
|
CLElementwisePower();
|
||
|
/** Default Destructor */
|
||
|
~CLElementwisePower();
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwisePower(const CLElementwisePower &) = delete;
|
||
|
/** Default move constructor */
|
||
|
CLElementwisePower(CLElementwisePower &&);
|
||
|
/** Prevent instances of this class from being copied (As this class contains pointers) */
|
||
|
CLElementwisePower &operator=(const CLElementwisePower &) = delete;
|
||
|
/** Default move assignment operator */
|
||
|
CLElementwisePower &operator=(CLElementwisePower &&);
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported:F16/F32.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Initialise the kernel's inputs, output and conversion policy.
|
||
|
*
|
||
|
* @param[in] compile_context The compile context to be used.
|
||
|
* @param[in, out] input1 First tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[in, out] input2 Second tensor input. Data types supported: F16/F32.
|
||
|
* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
|
||
|
* @param[out] output Output tensor. Data types supported:F16/F32.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*/
|
||
|
void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
/** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for power
|
||
|
*
|
||
|
* @param[in] input1 First tensor input info. Data types supported: F16/F32.
|
||
|
* @param[in] input2 Second tensor input info. Data types supported: F16/F32.
|
||
|
* @param[in] output Output tensor info. Data types supported: F16/F32.
|
||
|
* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
|
||
|
*
|
||
|
* @return a status
|
||
|
*/
|
||
|
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
|
||
|
|
||
|
// Inherited methods overridden:
|
||
|
void run() override;
|
||
|
|
||
|
private:
|
||
|
struct Impl;
|
||
|
std::unique_ptr<Impl> _impl;
|
||
|
};
|
||
|
} // namespace arm_compute
|
||
|
#endif /* ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H */
|