diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLElementwiseOperations.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLElementwiseOperations.h | 500 |
1 files changed, 487 insertions, 13 deletions
diff --git a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h index 9cd3c150cc..5af24c90ac 100644 --- a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h +++ b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h @@ -24,21 +24,372 @@ #ifndef ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H #define ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CL/ICLSimpleFunction.h" +#include "arm_compute/core/CL/kernels/CLFillBorderKernel.h" +#include "arm_compute/runtime/CL/ICLOperator.h" +#include "arm_compute/runtime/IFunction.h" namespace arm_compute { class ICLTensor; +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 ICLOperator +{ +public: + /** Default Constructor */ + 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] 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, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; + +/** 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 ICLOperator +{ +public: + /** Default Constructor */ + 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] 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, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; + +/** 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 ICLOperator +{ +public: + /** Default Constructor */ + CLArithmeticDivision(); + /** 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, 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 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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; + +/** 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 ICLOperator +{ +public: + /** Default Constructor */ + CLElementwiseMax(); + /** 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, 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 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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; + +/** 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 ICLOperator +{ +public: + /** Default Constructor */ + CLElementwiseMin(); + /** 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, 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 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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; + +/** 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 ICLOperator +{ +public: + /** Default Constructor */ + CLElementwiseSquaredDiff(); + /** 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, 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 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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; + +/** 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 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(InputTensorMap inputs, OutputTensorMap outputs, OperatorTensorMap workspace) override; + +private: + CLFillBorderKernel _border_handler; +}; +} // 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 ICLSimpleFunction +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 : @@ -89,7 +440,8 @@ public: * @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, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + 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 : @@ -115,6 +467,13 @@ public: * @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 @@ -122,9 +481,21 @@ public: * @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 ICLSimpleFunction +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 : @@ -149,7 +520,7 @@ public: * @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()); + 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 : @@ -175,7 +546,8 @@ public: * @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, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy, const ActivationLayerInfo &act_info = ActivationLayerInfo()); + 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 : @@ -201,6 +573,13 @@ public: * @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 @@ -208,9 +587,21 @@ public: * @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 ICLSimpleFunction +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. @@ -231,7 +622,7 @@ public: * @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()); + 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. @@ -242,6 +633,13 @@ public: * @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 @@ -249,9 +647,21 @@ public: * @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 ICLSimpleFunction +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. @@ -283,6 +693,13 @@ public: * @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 @@ -290,9 +707,21 @@ public: * @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 ICLSimpleFunction +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. @@ -324,6 +753,13 @@ public: * @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 @@ -331,9 +767,21 @@ public: * @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 ICLSimpleFunction +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. @@ -365,6 +813,13 @@ public: * @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 @@ -372,9 +827,21 @@ public: * @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 ICLSimpleFunction +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. @@ -406,6 +873,13 @@ public: * @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 */ |