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Diffstat (limited to 'src/core/cpu/kernels/CpuElementwiseKernel.h')
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diff --git a/src/core/cpu/kernels/CpuElementwiseKernel.h b/src/core/cpu/kernels/CpuElementwiseKernel.h new file mode 100644 index 0000000000..92cf880172 --- /dev/null +++ b/src/core/cpu/kernels/CpuElementwiseKernel.h @@ -0,0 +1,239 @@ +/* + * 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_KERNEL_H +#define ARM_COMPUTE_CPU_ELEMENTWISE_KERNEL_H + +#include "src/core/common/Macros.h" +#include "src/core/cpu/ICpuKernel.h" + +namespace arm_compute +{ +class ITensor; +namespace cpu +{ +namespace kernels +{ +/** Interface for an element-wise operation kernel + * + * Element-wise operation is computed by: + * @f[ output(x,y) = OP(input1(x,y), input2(x,y))@f] + * + */ +class CpuElementwiseKernel : public ICpuKernel +{ +public: + const char *name() const override + { + return "CpuElementwiseKernel"; + } + + CpuElementwiseKernel() = default; + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuElementwiseKernel); + + /** Common signature for all the specialised arithmetic functions + * + * @param[in] input1 First tensor input info. Data types supported: QASYMM8/S16/F16/S32/F32. + * @param[in] input2 Second tensor input info. Data types supported: Same as @p input1. + * @param[out] output Output tensor info. Data types supported: Dependent on subclass. + * @param[in] window Region on which to execute the kernel. + */ + using ElementwiseFunction = void(const ITensor *, const ITensor *, ITensor *, const Window &); + + // Inherited methods overridden: + void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override; + +protected: + /** Validate the argument passed to the kernel + * + * @param[in] input1 First tensor input. Data types supported: QASYMM8/S16/F16/S32/F32. + * @param[in] input2 Second tensor input. Data types supported: Same as @p input1. + * @param[in] output Output tensor. Data types supported: Dependent on subclass. + */ + static Status validate_arguments_common(const ITensorInfo &input1, const ITensorInfo &input2, const ITensorInfo &output); + + /** Commmon configure function for element-wise operators with no additional options (e.g. Min, Max, SquaredDiff) + * + */ + void configure_common(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output); + + /** Function to get the micro kernel implementation + * + * @param[in] input1 First input tensor information + * @param[in] input2 Second input tensor information + * @param[in] output Output tensor information + * + * @return the function instance for the micro kernel + */ + virtual std::function<ElementwiseFunction> get_implementation(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) = 0; +}; + +class CpuArithmeticKernel : public CpuElementwiseKernel +{ +public: + /** Default constructor */ + CpuArithmeticKernel() = default; + + /** Configure kernel + * + * @param[in] op Arithmetic operation to be executed. + * @param[in] input1 First tensor input info. Data types supported: QASYMM8/S16/F16/S32/F32. + * @param[in] 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(ArithmeticOperation op, 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 + * + * @param[in] op Arithmetic operation to be executed. + * @param[in] input1 First tensor input info. Data types supported: QASYMM8/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(ArithmeticOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + +protected: + // Inherited methods overridden: + static Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2, const ITensorInfo &output); + + ArithmeticOperation _op{}; + +private: + /** Function to get the micro kernel implementation + * + * @param[in] input1 First input tensor information + * @param[in] input2 Second input tensor information + * @param[in] output Output tensor information + * + * @return the function instance for the micro kernel + */ + std::function<ElementwiseFunction> get_implementation(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) override; +}; + +class CpuDivisionKernel : public CpuArithmeticKernel +{ +public: + /** Default constructor */ + CpuDivisionKernel() = default; + + /** Configure kernel + * + * @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[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 CpuDivisionKernel + * + * @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); + +protected: + // Inherited methods overridden: + static Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2, const ITensorInfo &output); +}; + +class CpuPowerKernel : public CpuArithmeticKernel +{ +public: + /** Default constructor */ + CpuPowerKernel() = default; + + /** Configure kernel + * + * @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[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 CpuPowerKernel + * + * @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); + +protected: + // Inherited methods overridden: + static Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2, const ITensorInfo &output); +}; + +class CpuComparisonKernel : public CpuElementwiseKernel +{ +public: + /** Default constructor */ + CpuComparisonKernel() = default; + + /** Configure kernel + * + * @param[in] op Comparison operation to be executed. + * @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[out] output Output tensor info. Data types supported: U8. + */ + void configure(ComparisonOperation op, 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] op Comparison operation to be executed. + * @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: U8. + * + * @return a Status + */ + static Status validate(ComparisonOperation op, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); + +protected: + // Inherited methods overridden: + static Status validate_arguments(const ITensorInfo &input1, const ITensorInfo &input2, const ITensorInfo &output); + +private: + /** Function to get the micro kernel implementation + * + * @param[in] input1 First input tensor information + * @param[in] input2 Second input tensor information + * @param[in] output Output tensor information + * + * @return the function instance for the micro kernel + */ + std::function<ElementwiseFunction> get_implementation(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) override; + + ComparisonOperation _op{}; +}; +} // namespace kernels +} // namespace cpu +} // namespace arm_compute +#endif /* ARM_COMPUTE_CPU_ELEMENTWISE_KERNEL_H */
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