diff options
Diffstat (limited to 'src/runtime/cpu')
| -rw-r--r-- | src/runtime/cpu/operators/CpuElementwise.cpp | 125 | ||||
| -rw-r--r-- | src/runtime/cpu/operators/CpuElementwise.h | 234 |
2 files changed, 359 insertions, 0 deletions
diff --git a/src/runtime/cpu/operators/CpuElementwise.cpp b/src/runtime/cpu/operators/CpuElementwise.cpp new file mode 100644 index 0000000000..322bd09c43 --- /dev/null +++ b/src/runtime/cpu/operators/CpuElementwise.cpp @@ -0,0 +1,125 @@ +/* + * 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. + */ +#include "src/runtime/cpu/operators/CpuElementwise.h" +#include "src/core/cpu/kernels/CpuElementwiseKernel.h" + +namespace arm_compute +{ +namespace cpu +{ +void CpuElementwiseMax::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) +{ + auto k = std::make_unique<kernels::CpuArithmeticKernel>(); + k->configure(ArithmeticOperation::MAX, input1, input2, output); + _kernel = std::move(k); +} + +Status CpuElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::MAX, input1, input2, output); +} + +void CpuElementwiseMin::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) +{ + auto k = std::make_unique<kernels::CpuArithmeticKernel>(); + k->configure(ArithmeticOperation::MIN, input1, input2, output); + _kernel = std::move(k); +} + +Status CpuElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::MIN, input1, input2, output); +} + +void CpuElementwiseSquaredDiff::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) +{ + auto k = std::make_unique<kernels::CpuArithmeticKernel>(); + k->configure(ArithmeticOperation::SQUARED_DIFF, input1, input2, output); + _kernel = std::move(k); +} + +Status CpuElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output); +} + +void CpuElementwiseDivision::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) +{ + auto k = std::make_unique<kernels::CpuDivisionKernel>(); + k->configure(input1, input2, output); + _kernel = std::move(k); +} + +Status CpuElementwiseDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return kernels::CpuDivisionKernel::validate(input1, input2, output); +} + +void CpuElementwisePower::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) +{ + auto k = std::make_unique<kernels::CpuPowerKernel>(); + k->configure(input1, input2, output); + _kernel = std::move(k); +} + +Status CpuElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return kernels::CpuPowerKernel::validate(input1, input2, output); +} + +template <ComparisonOperation COP> +void CpuElementwiseComparisonStatic<COP>::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output) +{ + auto k = std::make_unique<kernels::CpuComparisonKernel>(); + k->configure(COP, input1, input2, output); + _kernel = std::move(k); +} + +template <ComparisonOperation COP> +Status CpuElementwiseComparisonStatic<COP>::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output) +{ + return kernels::CpuComparisonKernel::validate(COP, input1, input2, output); +} + +void CpuElementwiseComparison::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ComparisonOperation op) +{ + auto k = std::make_unique<kernels::CpuComparisonKernel>(); + k->configure(op, input1, input2, output); + _kernel = std::move(k); +} + +Status CpuElementwiseComparison::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op) +{ + return kernels::CpuComparisonKernel::validate(op, input1, input2, output); +} + +// Supported Specializations +template class CpuElementwiseComparisonStatic<ComparisonOperation::Equal>; +template class CpuElementwiseComparisonStatic<ComparisonOperation::NotEqual>; +template class CpuElementwiseComparisonStatic<ComparisonOperation::Greater>; +template class CpuElementwiseComparisonStatic<ComparisonOperation::GreaterEqual>; +template class CpuElementwiseComparisonStatic<ComparisonOperation::Less>; +template class CpuElementwiseComparisonStatic<ComparisonOperation::LessEqual>; +} // namespace cpu +} // namespace arm_compute
\ No newline at end of file diff --git a/src/runtime/cpu/operators/CpuElementwise.h b/src/runtime/cpu/operators/CpuElementwise.h new file mode 100644 index 0000000000..611a374c26 --- /dev/null +++ b/src/runtime/cpu/operators/CpuElementwise.h @@ -0,0 +1,234 @@ +/* + * 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 */
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