From 164a2727d3bbce0e575d24b7db787c85e2e2c203 Mon Sep 17 00:00:00 2001 From: giuros01 Date: Tue, 20 Nov 2018 18:34:46 +0000 Subject: COMPMID-1717: CL: Implement Maximum, Minimum, SquaredDifference Change-Id: Ice653e48211053bd3cd20a693bd76de6b4efc370 Reviewed-on: https://review.mlplatform.org/270 Reviewed-by: Georgios Pinitas Tested-by: Arm Jenkins --- .../runtime/CL/functions/CLElementwiseOperations.h | 206 +++++++++++++++++++++ 1 file changed, 206 insertions(+) create mode 100644 arm_compute/runtime/CL/functions/CLElementwiseOperations.h (limited to 'arm_compute/runtime/CL/functions/CLElementwiseOperations.h') diff --git a/arm_compute/runtime/CL/functions/CLElementwiseOperations.h b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h new file mode 100644 index 0000000000..4a0911ec4e --- /dev/null +++ b/arm_compute/runtime/CL/functions/CLElementwiseOperations.h @@ -0,0 +1,206 @@ +/* + * Copyright (c) 2018 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, ARI SING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef __ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H__ +#define __ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H__ + +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/CL/ICLSimpleFunction.h" + +namespace arm_compute +{ +class ICLTensor; + +/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for addition + * + * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. + * @note The function performs an arithmetic addition between two tensors. + */ +class CLArithmeticAddition : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output and conversion policy. + * + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy); + /** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for addition + * + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); +}; + +/** Basic function to run @ref CLSaturatedArithmeticOperationKernel for subtraction + * + * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. + * @note The function performs an arithmetic subtraction between two tensors. + */ +class CLArithmeticSubtraction : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output and conversion policy. + * + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy); + /** Static function to check if given info will lead to a valid configuration of @ref CLSaturatedArithmeticOperationKernel for subtraction + * + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. + * @param[in] policy Policy to use to handle overflow. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy); +}; + +/** Basic function to run @ref CLSaturatedArithmeticOperationKernel 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 CLArithmeticDivision : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output. + * + * @param[in, out] input1 First tensor input. Data types supported: F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Same as @p input1. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: Same as @p input1. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticDivision + * + * @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 CLArithmeticOperationKernel for max + * + * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. + * @note The function performs a max operation between two tensors. + */ +class CLElementwiseMax : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output and conversion policy. + * + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for max + * + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); +}; + +/** Basic function to run @ref CLArithmeticOperationKernel for min + * + * @note The tensor data type for the inputs must be U8/QASYMM8/S16/S32/U32/F16/F32. + * @note The function performs a max operation between two tensors. + */ +class CLElementwiseMin : public ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output and conversion policy. + * + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for min + * + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/S32/U32/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); +}; + +/** Basic function to run @ref CLArithmeticOperationKernel for squared difference + * + * @note The tensor data type for the inputs must be QASYMM8/U8/S16/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 ICLSimpleFunction +{ +public: + /** Initialise the kernel's inputs, output and conversion policy. + * + * @param[in, out] input1 First tensor input. Data types supported: U8/QASYMM8/S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[in, out] input2 Second tensor input. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0. + * @param[out] output Output tensor. Data types supported: U8 (Only if both inputs are U8), QASYMM8 (only if both inputs are QASYMM8), S16/F16/F32. + */ + void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output); + /** Static function to check if given info will lead to a valid configuration of @ref CLArithmeticOperationKernel for squared difference + * + * @param[in] input1 First tensor input info. Data types supported: U8/QASYMM8/S16/F16/F32. + * @param[in] input2 Second tensor input info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), S16/F16/F32. + * @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QASYMM8 ( only if both inputs are QASYMM8), S16/F16/F32. + * + * @return a status + */ + static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output); +}; +} // namespace arm_compute +#endif /* __ARM_COMPUTE_CLELEMENTWISEOPERATIONS_H__ */ -- cgit v1.2.1