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Diffstat (limited to 'src/runtime/gpu/cl/operators/ClElementwiseOperations.h')
-rw-r--r-- | src/runtime/gpu/cl/operators/ClElementwiseOperations.h | 190 |
1 files changed, 0 insertions, 190 deletions
diff --git a/src/runtime/gpu/cl/operators/ClElementwiseOperations.h b/src/runtime/gpu/cl/operators/ClElementwiseOperations.h deleted file mode 100644 index b9ab1405c8..0000000000 --- a/src/runtime/gpu/cl/operators/ClElementwiseOperations.h +++ /dev/null @@ -1,190 +0,0 @@ -/* - * 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_CL_ELEMENTWISE_OPERATIONS_H -#define ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H - -#include "src/core/gpu/cl/ClCompileContext.h" -#include "src/runtime/gpu/cl/IClOperator.h" - -namespace arm_compute -{ -namespace opencl -{ -/** Basic function to run @ref opencl::kernels::ClArithmeticKernel 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 ClElementwiseDivision : public IClOperator -{ -public: - /** Default Constructor */ - ClElementwiseDivision() = default; - /** Configure function for a given list of arguments. - * - * @param[in] compile_context The compile context to be used. - * @param[in] src1 First source tensor info. Data types supported: F16/F32. - * @param[in] src2 Second source tensor info. same as @p src1. - * @param[out] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - */ - void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref ClElementwiseDivision - * - * @param[in] src1 First source tensor info. Data types supported: F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[in] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - * - * @return a status - */ - static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); -}; - -/** Basic function to run @ref opencl::kernels::ClArithmeticKernel 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() = default; - /** Configure function for a given list of arguments. - * - * @param[in] compile_context The compile context to be used. - * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[out] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - */ - void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for max - * - * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[in] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - * - * @return a status - */ - static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); -}; - -/** Basic function to run @ref opencl::kernels::ClArithmeticKernel 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() = default; - /** Configure function for a given list of arguments. - * - * @param[in] compile_context The compile context to be used. - * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[out] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - */ - void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for min - * - * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/U32/F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[in] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - * - * @return a status - */ - static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); -}; - -/** Basic function to run @ref opencl::kernels::ClArithmeticKernel 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() = default; - /** Configure function for a given list of arguments. - * - * @param[in] compile_context The compile context to be used. - * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[out] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - */ - void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for squared difference - * - * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: same as @p src1. - * @param[in] dst Destination tensor info. Data types supported: same as @p src1. - * @param[in] act_info (Optional) Activation layer information in case of a fused activation. - * - * @return a status - */ - static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); -}; - -/** Basic function to run @ref opencl::kernels::ClArithmeticKernel 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() = default; - /** Configure function for a given list of arguments. - * - * @param[in] compile_context The compile context to be used. - * @param[in] src1 First source tensor info. Data types supported: F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: F16/F32. - * @param[out] dst Destination tensor info. 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 *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); - /** Static function to check if given info will lead to a valid configuration of @ref opencl::kernels::ClArithmeticKernel for power - * - * @param[in] src1 First source tensor info. Data types supported: F16/F32. - * @param[in] src2 Second source tensor info. Data types supported: F16/F32. - * @param[in] dst Destination 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 *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info = ActivationLayerInfo()); -}; -} // namespace opencl -} // namespace arm_compute -#endif /* ARM_COMPUTE_CL_ELEMENTWISE_OPERATIONS_H */ |