| /* |
| * Copyright (c) 2018-2021, 2023 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #ifndef ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H |
| #define ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H |
| |
| #include "arm_compute/function_info/ActivationLayerInfo.h" |
| #include "arm_compute/runtime/CL/ICLOperator.h" |
| #include "arm_compute/runtime/IFunction.h" |
| |
| namespace arm_compute |
| { |
| class ICLTensor; |
| class CLCompileContext; |
| class ITensorInfo; |
| |
| /** Basic function to run @ref opencl::kernels::ClSaturatedArithmeticKernel 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 data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |QASYMM8 |QASYMM8 |QASYMM8 | |
| * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED | |
| * |QSYMM16 |QSYMM16 |QASYMM16 | |
| * |U8 |U8 |U8 | |
| * |U8 |U8 |S16 | |
| * |U8 |S16 |S16 | |
| * |S16 |U8 |S16 | |
| * |S16 |S16 |S16 | |
| * |S32 |S32 |S32 | |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClSaturatedArithmeticKernel 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 opencl::kernels::ClSaturatedArithmeticKernel 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 data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |QASYMM8 |QASYMM8 |QASYMM8 | |
| * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED | |
| * |QSYMM16 |QSYMM16 |QASYMM16 | |
| * |U8 |U8 |U8 | |
| * |U8 |U8 |S16 | |
| * |U8 |S16 |S16 | |
| * |S16 |U8 |S16 | |
| * |S16 |S16 |S16 | |
| * |S32 |S32 |S32 | |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClSaturatedArithmeticKernel 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 opencl::kernels::ClSaturatedArithmeticKernel 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. |
| * |
| * Valid data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClArithmeticKernel 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. |
| * |
| * Valid data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |QASYMM8 |QASYMM8 |QASYMM8 | |
| * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED | |
| * |QSYMM16 |QSYMM16 |QASYMM16 | |
| * |U8 |U8 |U8 | |
| * |S16 |S16 |S16 | |
| * |S32 |S32 |S32 | |
| * |U32 |U32 |U32 | |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClArithmeticKernel 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 opencl::kernels::ClArithmeticKernel 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. |
| * |
| * Valid data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |QASYMM8 |QASYMM8 |QASYMM8 | |
| * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED | |
| * |QSYMM16 |QSYMM16 |QASYMM16 | |
| * |U8 |U8 |U8 | |
| * |S16 |S16 |S16 | |
| * |S32 |S32 |S32 | |
| * |U32 |U32 |U32 | |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClArithmeticKernel 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 opencl::kernels::ClArithmeticKernel 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. |
| * |
| * Valid data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |QASYMM8 |QASYMM8 |QASYMM8 | |
| * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED | |
| * |QSYMM16 |QSYMM16 |QASYMM16 | |
| * |U8 |U8 |U8 | |
| * |S16 |S16 |S16 | |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClArithmeticKernel 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 opencl::kernels::ClArithmeticKernel 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. |
| * |
| * Valid data layouts: |
| * - All |
| * |
| * Valid data type configurations: |
| * |src0 |src1 |dst | |
| * |:--------------|:--------------|:--------------| |
| * |F16 |F16 |F16 | |
| * |F32 |F32 |F32 | |
| * |
| * @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 opencl::kernels::ClArithmeticKernel 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 */ |