317 lines
20 KiB
C
317 lines
20 KiB
C
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/*
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* Copyright (c) 2016-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H
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#define ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H
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#include "arm_compute/runtime/CL/ICLOperator.h"
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#include "arm_compute/runtime/IFunction.h"
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namespace arm_compute
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{
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// Forward declaration
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class CLCompileContext;
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class CLFillBorderKernel;
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class ICLTensor;
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class ITensorInfo;
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namespace experimental
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{
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/** Basic function to run @ref CLPixelWiseMultiplicationKernel. */
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class CLPixelWiseMultiplication : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLPixelWiseMultiplication();
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/** Initialise the kernel's inputs, output and convertion policy.
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,U8) -> S16
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* - (S16,S16) -> S16
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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* - (QSYMM16,QSYMM16) -> S32
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] scale Scale to apply after multiplication.
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* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
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* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
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* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, float scale,
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ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplication
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,U8) -> S16
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* - (S16,S16) -> S16
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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* - (QSYMM16,QSYMM16) -> S32
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*
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*
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* @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] input2 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] output The output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] scale Scale to apply after multiplication.
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* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
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* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
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* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
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ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run(ITensorPack &tensors) override;
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private:
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std::unique_ptr<CLFillBorderKernel> _border_handler;
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};
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/** Basic function to run @ref CLComplexPixelWiseMultiplicationKernel. */
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class CLComplexPixelWiseMultiplication : public ICLOperator
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{
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public:
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/** Default Constructor */
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CLComplexPixelWiseMultiplication();
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/** Initialise the kernel's inputs, output.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
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*
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* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2.
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* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] output The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run(ITensorPack &tensors) override;
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private:
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std::unique_ptr<CLFillBorderKernel> _border_handler;
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};
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} // namespace experimental
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/** Basic function to run @ref CLPixelWiseMultiplicationKernel. */
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class CLPixelWiseMultiplication : public IFunction
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{
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public:
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/** Default Constructor */
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CLPixelWiseMultiplication();
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/** Default Destructor */
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~CLPixelWiseMultiplication();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLPixelWiseMultiplication(const CLPixelWiseMultiplication &) = delete;
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/** Default move constructor */
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CLPixelWiseMultiplication(CLPixelWiseMultiplication &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLPixelWiseMultiplication &operator=(const CLPixelWiseMultiplication &) = delete;
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/** Default move assignment operator */
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CLPixelWiseMultiplication &operator=(CLPixelWiseMultiplication &&);
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/** Initialise the kernel's inputs, output and convertion policy.
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,U8) -> S16
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* - (S16,S16) -> S16
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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* - (QSYMM16,QSYMM16) -> S32
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*
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* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] scale Scale to apply after multiplication.
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* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
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* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
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* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
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ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Initialise the kernel's inputs, output and convertion policy.
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,U8) -> S16
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* - (S16,S16) -> S16
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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* - (QSYMM16,QSYMM16) -> S32
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output The output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] scale Scale to apply after multiplication.
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* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
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* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
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* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
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ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLPixelWiseMultiplication
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* - (U8,U8) -> U8
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* - (U8,U8) -> S16
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* - (U8,S16) -> S16
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* - (S16,U8) -> S16
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* - (S16,S16) -> S16
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* - (F16,F16) -> F16
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* - (F32,F32) -> F32
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* - (QASYMM8,QASYMM8) -> QASYMM8
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
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* - (QSYMM16,QSYMM16) -> QSYMM16
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* - (QSYMM16,QSYMM16) -> S32
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*
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*
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* @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] input2 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] output The output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
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* @param[in] scale Scale to apply after multiplication.
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* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
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* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
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* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*
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* @return a status
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
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ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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/** Basic function to run @ref CLComplexPixelWiseMultiplicationKernel. */
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class CLComplexPixelWiseMultiplication : public IFunction
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{
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public:
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/** Default Constructor */
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CLComplexPixelWiseMultiplication();
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/** Default Destructor */
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~CLComplexPixelWiseMultiplication();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLComplexPixelWiseMultiplication(const CLComplexPixelWiseMultiplication &) = delete;
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/** Default move constructor */
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CLComplexPixelWiseMultiplication(CLComplexPixelWiseMultiplication &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLComplexPixelWiseMultiplication &operator=(const CLComplexPixelWiseMultiplication &) = delete;
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/** Default move assignment operator */
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CLComplexPixelWiseMultiplication &operator=(CLComplexPixelWiseMultiplication &&);
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/** Initialise the kernel's inputs, output.
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*
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* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Initialise the kernel's inputs, output.
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*
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* @param[in] compile_context The compile context to be used.
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* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[in, out] input2 An input tensor. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* The input tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
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* @param[out] output The output tensor, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
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*
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* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2.
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* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] output The output tensor info, Data types supported: same as @p input1. Number of channels supported: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation.
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*/
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static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
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// Inherited methods overridden:
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void run() override;
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private:
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struct Impl;
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std::unique_ptr<Impl> _impl;
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};
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} // namespace arm_compute
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#endif /*ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H */
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