| /* |
| * Copyright (c) 2021 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_CPU_ELEMENTWISE_H |
| #define ARM_COMPUTE_CPU_ELEMENTWISE_H |
| |
| #include "src/runtime/cpu/ICpuOperator.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| /** 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. |
| */ |
| class CpuElementwiseMax : public ICpuOperator |
| { |
| 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 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. |
| * @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 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. |
| */ |
| class CpuElementwiseMin : public ICpuOperator |
| { |
| 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 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. |
| * @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 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 |
| */ |
| class CpuElementwiseSquaredDiff : public ICpuOperator |
| { |
| 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 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. |
| * @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 cpu::kernels::CpuArithmeticKernel 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 CpuElementwiseDivision : public ICpuOperator |
| { |
| 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 cpu::kernels::CpuArithmeticKernel 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 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]) |
| * @note For an exponent that is a float, this function will only work with a positive base. |
| */ |
| class CpuElementwisePower : public ICpuOperator |
| { |
| 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 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. |
| * @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 cpu::kernels::CpuComparisonKernel. |
| * |
| * @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 CpuElementwiseComparison : public ICpuOperator |
| { |
| 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 cpu::kernels::CpuComparisonKernel |
| * |
| * @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 cpu::kernels::CpuComparisonKernel |
| * |
| * @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 CpuElementwiseComparisonStatic : public ICpuOperator |
| { |
| 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 cpu::kernels::CpuComparisonKernel |
| * |
| * @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 = CpuElementwiseComparisonStatic<ComparisonOperation::Equal>; |
| /** Basic function to run not equal comparison. */ |
| using NENotEqual = CpuElementwiseComparisonStatic<ComparisonOperation::NotEqual>; |
| /** Basic function to run greater comparison. */ |
| using NEGreater = CpuElementwiseComparisonStatic<ComparisonOperation::Greater>; |
| /** Basic function to run greater-equal comparison. */ |
| using NEGreaterEqual = CpuElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>; |
| /** Basic function to run less comparison. */ |
| using NELess = CpuElementwiseComparisonStatic<ComparisonOperation::Less>; |
| /** Basic function to run less-equal comparison. */ |
| using NELessEqual = CpuElementwiseComparisonStatic<ComparisonOperation::LessEqual>; |
| } // namespace cpu |
| } // namespace arm_compute |
| |
| #endif /* ARM_COMPUTE_CPU_ELEMENTWISE_H */ |