258 lines
18 KiB
C++
258 lines
18 KiB
C++
/*
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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_NEPIXELWISEMULTIPLICATION_H
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#define ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/NEON/INEOperator.h"
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namespace arm_compute
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{
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class ITensor;
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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 NEPixelWiseMultiplicationKernel */
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class NEPixelWiseMultiplication : public INEOperator
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{
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public:
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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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* Support: Broadcast? Scale=1/255?
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* - (U8,U8) -> U8, S16 N Y
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* - (U8,S16) -> S16 N Y
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* - (S16,U8) -> S16 N Y
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* - (S16,S16) -> S16 N Y
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* - (S32,S32) -> S32 Y N
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* - (F16,F16) -> F16 N Y
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* - (F32,F32) -> F32 Y Y
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* - (QASYMM8,QASYMM8) -> QASYMM8 Y Y
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED Y Y
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* - (QSYMM16,QSYMM16) -> QSYMM16, S32 N Y
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*
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* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
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* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
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*
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* @param[in, out] input1 First input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
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* This 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 Second input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
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* This 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 Output tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
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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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* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
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* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
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* @param[in] rounding_policy Rounding policy.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
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*
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* Valid configurations (Input1,Input2) -> Output :
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*
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* Support: Broadcast? Scale=1/255?
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* - (U8,U8) -> U8, S16 N Y
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* - (U8,S16) -> S16 N Y
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* - (S16,U8) -> S16 N Y
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* - (S16,S16) -> S16 N Y
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* - (S32,S32) -> S32 Y N
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* - (F16,F16) -> F16 N Y
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* - (F32,F32) -> F32 Y Y
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* - (QASYMM8,QASYMM8) -> QASYMM8 Y Y
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* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED Y Y
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* - (QSYMM16,QSYMM16) -> QSYMM16, S32 N Y
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*
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* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
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* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
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*
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* @param[in] input1 First input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
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* @param[in] input2 Second input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
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* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
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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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* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
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* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
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* @param[in] rounding_policy Rounding policy.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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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, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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};
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/** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */
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class NEComplexPixelWiseMultiplication : public INEOperator
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{
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public:
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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 (complex tensor).
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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: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(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 NEComplexPixelWiseMultiplication
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*
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* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
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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. Currently not supported.
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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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};
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} // namespace experimental
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/** Basic function to run @ref NEPixelWiseMultiplicationKernel */
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class NEPixelWiseMultiplication : public IFunction
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{
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public:
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/** Default Constructor */
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NEPixelWiseMultiplication();
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/** Default Destructor */
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~NEPixelWiseMultiplication();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEPixelWiseMultiplication(const NEPixelWiseMultiplication &) = delete;
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/** Default move constructor */
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NEPixelWiseMultiplication(NEPixelWiseMultiplication &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEPixelWiseMultiplication &operator=(const NEPixelWiseMultiplication &) = delete;
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/** Default move assignment operator */
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NEPixelWiseMultiplication &operator=(NEPixelWiseMultiplication &&);
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/** Initialise the kernel's inputs, output and convertion policy.
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*
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* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
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* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
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*
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* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
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* This 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 (only if @p input1 is QASYMM8), QASYMM8_SIGNED (only if @p input1 is QASYMM8_SIGNED), S16, S32, QSYMM16 (only if @p input1 is QSYMM16), F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
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* This 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 Output tensor. Data types supported:
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* - U8, only if both inputs are U8.
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* - QASYMM8, only if both inputs are QASYMM8.
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* - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
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* - S16.
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* - QSYMM16, only if both inputs are QSYMM16.
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* - S32, only if both inputs are S32 or both are QSYMM16.
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* - F16, only if @p input1 is F16.
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* - F32, only if both inputs are 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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* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
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* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
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* @param[in] rounding_policy Rounding policy.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
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const ActivationLayerInfo &act_info = ActivationLayerInfo());
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/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
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*
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* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
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* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
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*
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* @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
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* @param[in] input2 An input tensor info. Data types supported: U8, QASYMM8 (only if @p input1 is QASYMM8), QASYMM8_SIGNED (only if @p input1 is QASYMM8_SIGNED), S16, S32, QSYMM16 (only if both inputs are QSYMM16), F16 (only if @p input1 is F16), F32 (only if @p input1 is F32).
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* @param[in] output Output tensor info. Data types supported:
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* - U8, only if both inputs are U8.
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* - QASYMM8, only if both inputs are QASYMM8.
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* - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
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* - S16.
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* - QSYMM16, only if both inputs are QSYMM16.
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* - S32, only if both inputs are S32 or both are QSYMM16.
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* - F16, only if @p input1 is F16.
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* - F32, only if both inputs are 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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* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
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* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
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* @param[in] rounding_policy Rounding policy.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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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, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
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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 NEComplexPixelWiseMultiplicationKernel. */
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class NEComplexPixelWiseMultiplication : public IFunction
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{
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public:
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/** Default Constructor */
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NEComplexPixelWiseMultiplication();
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/** Default Destructor */
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~NEComplexPixelWiseMultiplication();
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEComplexPixelWiseMultiplication(const NEComplexPixelWiseMultiplication &) = delete;
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/** Default move constructor */
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NEComplexPixelWiseMultiplication(NEComplexPixelWiseMultiplication &&);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEComplexPixelWiseMultiplication &operator=(const NEComplexPixelWiseMultiplication &) = delete;
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/** Default move assignment operator */
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NEComplexPixelWiseMultiplication &operator=(NEComplexPixelWiseMultiplication &&);
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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 (complex tensor).
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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: same as @p input1.
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* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
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*/
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void configure(ITensor *input1, ITensor *input2, ITensor *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 NEComplexPixelWiseMultiplication
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*
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* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
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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. Currently not supported.
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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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}
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#endif /*ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H */
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