diff options
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEElementwiseOperations.h')
| -rw-r--r-- | arm_compute/runtime/NEON/functions/NEElementwiseOperations.h | 231 |
1 files changed, 15 insertions, 216 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h index 5c755e96ac..44b70bbe85 100644 --- a/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h +++ b/arm_compute/runtime/NEON/functions/NEElementwiseOperations.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2020 Arm Limited. + * Copyright (c) 2018-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -32,7 +32,7 @@ namespace arm_compute { class ITensor; -/** Basic function to run @ref NEArithmeticOperationKernel for max +/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for max * * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @note The function performs a max operation between two tensors. @@ -60,7 +60,7 @@ public: * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for max + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuArithmeticKernel for max * * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. @@ -79,7 +79,7 @@ private: std::unique_ptr<Impl> _impl; }; -/** Basic function to run @ref NEArithmeticOperationKernel for min +/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for min * * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @note The function performs a min operation between two tensors. @@ -107,7 +107,7 @@ public: * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for min + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuArithmeticKernel for min * * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. @@ -126,7 +126,7 @@ private: std::unique_ptr<Impl> _impl; }; -/** Basic function to run @ref NEArithmeticOperationKernel for squared difference +/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for squared difference * * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2 @@ -154,7 +154,7 @@ public: * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for squared difference + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuArithmeticKernel for squared difference * * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. @@ -173,7 +173,7 @@ private: std::unique_ptr<Impl> _impl; }; -/** Basic function to run @ref NEArithmeticOperationKernel for division +/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for division * * @note The tensor data type for the inputs must be F16/F32. * @note The function performs a squared different operation between two tensors (i.e., out[i] = in1[i] / in2[i]) @@ -201,7 +201,7 @@ public: * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for division + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuArithmeticKernel for division * * @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. @@ -220,7 +220,7 @@ private: std::unique_ptr<Impl> _impl; }; -/** Basic function to run @ref NEArithmeticOperationKernel for power +/** Basic function to run @ref cpu::kernels::CpuArithmeticKernel for power * * @note The tensor data type for the inputs must be F16/F32. * @note The function performs a elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i]) @@ -249,7 +249,7 @@ public: * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported. */ void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for power + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuArithmeticKernel for power * * @param[in] input1 First tensor input info. Data types supported: F16/F32. * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. @@ -268,7 +268,7 @@ private: std::unique_ptr<Impl> _impl; }; -/** Basic function to run @ref NEComparisonOperationKernel. +/** Basic function to run @ref cpu::kernels::CpuComparisonKernel. * * @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @note The function performs a comparison operation between two tensors. @@ -296,7 +296,7 @@ public: * @param[in] op Comparison Operation to be performed. */ void configure(ITensor *input1, ITensor *input2, ITensor *output, ComparisonOperation op); - /** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuComparisonKernel * * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. @@ -315,7 +315,7 @@ private: std::unique_ptr<Impl> _impl; }; -/** Basic function to run @ref NEComparisonOperationKernel +/** Basic function to run @ref cpu::kernels::CpuComparisonKernel * * @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @note The function performs a comparison operation between two tensors. @@ -343,7 +343,7 @@ public: * @param[out] output Output tensor. Data types supported: U16/U32. */ void configure(ITensor *input1, ITensor *input2, ITensor *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel + /** Static function to check if given info will lead to a valid configuration of @ref cpu::kernels::CpuComparisonKernel * * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. @@ -374,206 +374,5 @@ using NELess = NEElementwiseComparisonStatic<ComparisonOperation::Less>; /** Basic function to run less-equal comparison. */ using NELessEqual = NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>; -namespace experimental -{ -/** Basic function to run @ref NEArithmeticOperationKernel for max - * - * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @note The function performs a max operation between two tensors. - */ -class NEElementwiseMax : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: Same as @p input1. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for max - * - * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: Same as @p input1. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); -}; - -/** Basic function to run @ref NEArithmeticOperationKernel for min - * - * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @note The function performs a min operation between two tensors. - */ -class NEElementwiseMin : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: Same as @p input1. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for min - * - * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: Same as @p input1. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); -}; - -/** Basic function to run @ref NEArithmeticOperationKernel for squared difference - * - * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @note The function performs a squared different operation between two tensors (i.e., out[i] = (in1[i] - in2[i])^2 - */ -class NEElementwiseSquaredDiff : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: Same as @p input1. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for squared difference - * - * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: Same as @p input1. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); -}; - -/** Basic function to run @ref NEArithmeticOperationKernel for division - * - * @note The tensor data type for the inputs must be S32/F16/F32. - * @note The function performs a division operation between two tensors (i.e., out[i] = in1[i] / in2[i]) - */ -class NEElementwiseDivision : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: S32/F16/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: Same as @p input1. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for division - * - * @param[in] input1 First tensor input info. Data types supported: S32/F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: Same as @p input1. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); -}; - -/** Basic function to run @ref NEArithmeticOperationKernel for power - * - * @note The tensor data type for the inputs must be F16/F32. - * @note The function performs a elementwise power of in1 to in2 (i.e., out[i] = in1[i] ^ in2[i]) - * @note For an exponent that is a float, this function will only work with a positive base. - */ -class NEElementwisePower : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: F16/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: Same as @p input1. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEArithmeticOperationKernel for power - * - * @param[in] input1 First tensor input info. Data types supported: F16/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: Same as @p input1. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); -}; - -/** Basic function to run @ref NEComparisonOperationKernel. - * - * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @note The function performs a comparison operation between two tensors. - */ -class NEElementwiseComparison : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: U16/U32. - * @param[in] op Comparison Operation to be performed. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ComparisonOperation op); - /** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel - * - * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: U16/U32. - * @param[in] op Comparison Operation to be performed. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op); -}; - -/** Basic function to run @ref NEComparisonOperationKernel - * - * @note The tensor data type for the inputs must be QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @note The function performs a comparison operation between two tensors. - */ -template <ComparisonOperation op> -class NEElementwiseComparisonStatic : public INEOperator -{ -public: - /** Initialise the kernel's inputs, output and conversion policy. - * - * @param[in, out] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in, out] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[out] output Output tensor info. Data types supported: U16/U32. - */ - void configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); - /** Static function to check if given info will lead to a valid configuration of @ref NEComparisonOperationKernel - * - * @param[in] input1 First tensor input info. Data types supported: QASYMM8/QASYMM8_SIGNED/S16/F16/S32/F32. - * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. - * @param[in] output Output tensor info. Data types supported: U16/U32. - * - * @return a status - */ - static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); -}; - -/** Basic function to run equal comparison. */ -using NEEqual = NEElementwiseComparisonStatic<ComparisonOperation::Equal>; -/** Basic function to run not equal comparison. */ -using NENotEqual = NEElementwiseComparisonStatic<ComparisonOperation::NotEqual>; -/** Basic function to run greater comparison. */ -using NEGreater = NEElementwiseComparisonStatic<ComparisonOperation::Greater>; -/** Basic function to run greater-equal comparison. */ -using NEGreaterEqual = NEElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>; -/** Basic function to run less comparison. */ -using NELess = NEElementwiseComparisonStatic<ComparisonOperation::Less>; -/** Basic function to run less-equal comparison. */ -using NELessEqual = NEElementwiseComparisonStatic<ComparisonOperation::LessEqual>; -} // namespace experimental } // namespace arm_compute #endif /* ARM_COMPUTE_NEELEMENTWISEOPERATIONS_H */ |