arm_compute/runtime/NEON/functions/NEPixelWiseMultiplication.h - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2016-2020 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_NEPIXELWISEMULTIPLICATION_H
 #define ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H

 #include "arm_compute/core/Types.h"
 #include "arm_compute/runtime/IFunction.h"
 #include "arm_compute/runtime/NEON/INEOperator.h"

 namespace arm_compute
 {
 class ITensor;
 class ITensorInfo;

 namespace experimental
 {
 /** Basic function to run @ref NEPixelWiseMultiplicationKernel */
 class NEPixelWiseMultiplication : public INEOperator
 {
 public:
     /** Initialise the kernel's inputs, output and convertion policy.
      *
      * Valid configurations (Input1,Input2) -> Output :
      *
      *                                                       Support: Broadcast? Scale=1/255?
      *   - (U8,U8)                         -> U8, S16                 N          Y
      *   - (U8,S16)                        -> S16                     N          Y
      *   - (S16,U8)                        -> S16                     N          Y
      *   - (S16,S16)                       -> S16                     N          Y
      *   - (S32,S32)                       -> S32                     Y          N
      *   - (F16,F16)                       -> F16                     N          Y
      *   - (F32,F32)                       -> F32                     Y          Y
      *   - (QASYMM8,QASYMM8)               -> QASYMM8                 Y          Y
      *   - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED          Y          Y
      *   - (QSYMM16,QSYMM16)               -> QSYMM16, S32            N          Y
      *
      * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
      *       For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
      *
      * @param[in, out] input1          First input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
      *                                 This 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 input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
      *                                 This 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/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
      * @param[in]      scale           Scale to apply after multiplication.
      *                                 Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
      *                                 If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
      * @param[in]      overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
      * @param[in]      rounding_policy Rounding policy.
      * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation. Currently not supported.
      */
     void configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
                    const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
      *
      * Valid configurations (Input1,Input2) -> Output :
      *
      *                                                       Support: Broadcast? Scale=1/255?
      *   - (U8,U8)                         -> U8, S16                 N          Y
      *   - (U8,S16)                        -> S16                     N          Y
      *   - (S16,U8)                        -> S16                     N          Y
      *   - (S16,S16)                       -> S16                     N          Y
      *   - (S32,S32)                       -> S32                     Y          N
      *   - (F16,F16)                       -> F16                     N          Y
      *   - (F32,F32)                       -> F32                     Y          Y
      *   - (QASYMM8,QASYMM8)               -> QASYMM8                 Y          Y
      *   - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED          Y          Y
      *   - (QSYMM16,QSYMM16)               -> QSYMM16, S32            N          Y
      *
      * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
      *       For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
      *
      * @param[in] input1          First input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
      * @param[in] input2          Second input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
      * @param[in] output          Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
      * @param[in] scale           Scale to apply after multiplication.
      *                            Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
      *                            If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
      * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
      * @param[in] rounding_policy Rounding policy.
      * @param[in] act_info        (Optional) Activation layer information in case of a fused activation. Currently not supported.
      *
      * @return a status
      */
     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
                            const ActivationLayerInfo &act_info = ActivationLayerInfo());
 };

 /** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */
 class NEComplexPixelWiseMultiplication : public INEOperator
 {
 public:
     /** Initialise the kernel's inputs, output.
      *
      * @param[in, out] input1   An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
      *                          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   An input tensor. Data types supported: same as @p input1. Number of channels supported: 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   The output tensor. Data types supported: same as @p input1. Number of channels: same as @p input1.
      * @param[in]      act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
      */
     void configure(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplication
      *
      * @param[in] input1   An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
      * @param[in] input2   An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
      * @param[in] output   The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
      * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
      */
     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
 };
 } // namespace experimental

 /** Basic function to run @ref NEPixelWiseMultiplicationKernel */
 class NEPixelWiseMultiplication : public IFunction
 {
 public:
     /** Default Constructor */
     NEPixelWiseMultiplication();
     /** Default Destructor */
     ~NEPixelWiseMultiplication();
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     NEPixelWiseMultiplication(const NEPixelWiseMultiplication &) = delete;
     /** Default move constructor */
     NEPixelWiseMultiplication(NEPixelWiseMultiplication &&);
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     NEPixelWiseMultiplication &operator=(const NEPixelWiseMultiplication &) = delete;
     /** Default move assignment operator */
     NEPixelWiseMultiplication &operator=(NEPixelWiseMultiplication &&);
     /** Initialise the kernel's inputs, output and convertion policy.
      *
      * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
      *       For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
      *
      * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
      *                                 This 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          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).
      *                                 This 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.
      *                                 - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
      *                                 - S16.
      *                                 - QSYMM16, only if both inputs are QSYMM16.
      *                                 - S32, only if both inputs are S32 or both are QSYMM16.
      *                                 - F16, only if @p input1 is F16.
      *                                 - F32, only if both inputs are F32.
      * @param[in]      scale           Scale to apply after multiplication.
      *                                 Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
      *                                 If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
      * @param[in]      overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
      * @param[in]      rounding_policy Rounding policy.
      * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation. Currently not supported.
      */
     void configure(const ITensor *input1, const ITensor *input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
                    const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
      *
      * @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
      *       For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
      *
      * @param[in] input1          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
      * @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).
      * @param[in] output          Output tensor info. Data types supported:
      *                            - U8, only if both inputs are U8.
      *                            - QASYMM8, only if both inputs are QASYMM8.
      *                            - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
      *                            - S16.
      *                            - QSYMM16, only if both inputs are QSYMM16.
      *                            - S32, only if both inputs are S32 or both are QSYMM16.
      *                            - F16, only if @p input1 is F16.
      *                            - F32, only if both inputs are F32.
      * @param[in] scale           Scale to apply after multiplication.
      *                            Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
      *                            If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
      * @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
      * @param[in] rounding_policy Rounding policy.
      * @param[in] act_info        (Optional) Activation layer information in case of a fused activation. Currently not supported.
      *
      * @return a status
      */
     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
                            const ActivationLayerInfo &act_info = ActivationLayerInfo());

     // Inherited methods overridden:
     void run() override;

 private:
     struct Impl;
     std::unique_ptr<Impl> _impl;
 };

 /** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */
 class NEComplexPixelWiseMultiplication : public IFunction
 {
 public:
     /** Default Constructor */
     NEComplexPixelWiseMultiplication();
     /** Default Destructor */
     ~NEComplexPixelWiseMultiplication();
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     NEComplexPixelWiseMultiplication(const NEComplexPixelWiseMultiplication &) = delete;
     /** Default move constructor */
     NEComplexPixelWiseMultiplication(NEComplexPixelWiseMultiplication &&);
     /** Prevent instances of this class from being copied (As this class contains pointers) */
     NEComplexPixelWiseMultiplication &operator=(const NEComplexPixelWiseMultiplication &) = delete;
     /** Default move assignment operator */
     NEComplexPixelWiseMultiplication &operator=(NEComplexPixelWiseMultiplication &&);
     /** Initialise the kernel's inputs, output.
      *
      * @param[in, out] input1   An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
      *                          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   An input tensor. Data types supported: same as @p input1. Number of channels supported: 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   The output tensor. Data types supported: same as @p input1. Number of channels: same as @p input1.
      * @param[in]      act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
      */
     void configure(ITensor *input1, ITensor *input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
     /** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplication
      *
      * @param[in] input1   An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
      * @param[in] input2   An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
      * @param[in] output   The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
      * @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
      */
     static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());

     // Inherited methods overridden:
     void run() override;

 private:
     struct Impl;
     std::unique_ptr<Impl> _impl;
 };
 }
 #endif /*ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H */
	/*
	* Copyright (c) 2016-2020 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_NEPIXELWISEMULTIPLICATION_H
	#define ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H

	#include "arm_compute/core/Types.h"
	#include "arm_compute/runtime/IFunction.h"
	#include "arm_compute/runtime/NEON/INEOperator.h"

	namespace arm_compute
	{
	class ITensor;
	class ITensorInfo;

	namespace experimental
	{
	/** Basic function to run @ref NEPixelWiseMultiplicationKernel */
	class NEPixelWiseMultiplication : public INEOperator
	{
	public:
	/** Initialise the kernel's inputs, output and convertion policy.
	*
	* Valid configurations (Input1,Input2) -> Output :
	*
	* Support: Broadcast? Scale=1/255?
	* - (U8,U8) -> U8, S16 N Y
	* - (U8,S16) -> S16 N Y
	* - (S16,U8) -> S16 N Y
	* - (S16,S16) -> S16 N Y
	* - (S32,S32) -> S32 Y N
	* - (F16,F16) -> F16 N Y
	* - (F32,F32) -> F32 Y Y
	* - (QASYMM8,QASYMM8) -> QASYMM8 Y Y
	* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED Y Y
	* - (QSYMM16,QSYMM16) -> QSYMM16, S32 N Y
	*
	* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
	* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
	*
	* @param[in, out] input1 First input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
	* This 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 input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
	* This 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/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
	* @param[in] scale Scale to apply after multiplication.
	* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
	* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
	* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
	* @param[in] rounding_policy Rounding policy.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*/
	void configure(ITensorInfo input1, ITensorInfo input2, ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
	const ActivationLayerInfo &act_info = ActivationLayerInfo());
	/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
	*
	* Valid configurations (Input1,Input2) -> Output :
	*
	* Support: Broadcast? Scale=1/255?
	* - (U8,U8) -> U8, S16 N Y
	* - (U8,S16) -> S16 N Y
	* - (S16,U8) -> S16 N Y
	* - (S16,S16) -> S16 N Y
	* - (S32,S32) -> S32 Y N
	* - (F16,F16) -> F16 N Y
	* - (F32,F32) -> F32 Y Y
	* - (QASYMM8,QASYMM8) -> QASYMM8 Y Y
	* - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED Y Y
	* - (QSYMM16,QSYMM16) -> QSYMM16, S32 N Y
	*
	* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
	* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
	*
	* @param[in] input1 First input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
	* @param[in] input2 Second input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
	* @param[in] output Output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
	* @param[in] scale Scale to apply after multiplication.
	* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
	* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
	* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
	* @param[in] rounding_policy Rounding policy.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*
	* @return a status
	*/
	static Status validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
	const ActivationLayerInfo &act_info = ActivationLayerInfo());
	};

	/** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */
	class NEComplexPixelWiseMultiplication : public INEOperator
	{
	public:
	/** Initialise the kernel's inputs, output.
	*
	* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
	* 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 An input tensor. Data types supported: same as @p input1. Number of channels supported: 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 The output tensor. Data types supported: same as @p input1. Number of channels: same as @p input1.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*/
	void configure(ITensorInfo input1, ITensorInfo input2, ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
	/** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplication
	*
	* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
	* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
	* @param[in] output The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*/
	static Status validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
	};
	} // namespace experimental

	/** Basic function to run @ref NEPixelWiseMultiplicationKernel */
	class NEPixelWiseMultiplication : public IFunction
	{
	public:
	/** Default Constructor */
	NEPixelWiseMultiplication();
	/** Default Destructor */
	~NEPixelWiseMultiplication();
	/** Prevent instances of this class from being copied (As this class contains pointers) */
	NEPixelWiseMultiplication(const NEPixelWiseMultiplication &) = delete;
	/** Default move constructor */
	NEPixelWiseMultiplication(NEPixelWiseMultiplication &&);
	/** Prevent instances of this class from being copied (As this class contains pointers) */
	NEPixelWiseMultiplication &operator=(const NEPixelWiseMultiplication &) = delete;
	/** Default move assignment operator */
	NEPixelWiseMultiplication &operator=(NEPixelWiseMultiplication &&);
	/** Initialise the kernel's inputs, output and convertion policy.
	*
	* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
	* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
	*
	* @param[in, out] input1 An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
	* This 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 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).
	* This 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.
	* - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
	* - S16.
	* - QSYMM16, only if both inputs are QSYMM16.
	* - S32, only if both inputs are S32 or both are QSYMM16.
	* - F16, only if @p input1 is F16.
	* - F32, only if both inputs are F32.
	* @param[in] scale Scale to apply after multiplication.
	* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
	* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
	* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
	* @param[in] rounding_policy Rounding policy.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*/
	void configure(const ITensor input1, const ITensor input2, ITensor *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
	const ActivationLayerInfo &act_info = ActivationLayerInfo());
	/** Static function to check if given info will lead to a valid configuration of @ref NEPixelWiseMultiplication
	*
	* @note For @p scale equal to 1/255 only round to nearest even (implemented as round half up) is supported.
	* For all other scale values only round to zero (implemented as round towards minus infinity) is supported.
	*
	* @param[in] input1 An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/S32/QSYMM16/F16/F32
	* @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).
	* @param[in] output Output tensor info. Data types supported:
	* - U8, only if both inputs are U8.
	* - QASYMM8, only if both inputs are QASYMM8.
	* - QASYMM8_SIGNED, only if @p input1 is QASYMM8_SIGNED.
	* - S16.
	* - QSYMM16, only if both inputs are QSYMM16.
	* - S32, only if both inputs are S32 or both are QSYMM16.
	* - F16, only if @p input1 is F16.
	* - F32, only if both inputs are F32.
	* @param[in] scale Scale to apply after multiplication.
	* Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
	* If both @p input1, @p input2 and @p output are of datatype S32, scale cannot be 1/255
	* @param[in] overflow_policy Overflow policy. ConvertPolicy cannot be WRAP if any of the inputs is of quantized datatype
	* @param[in] rounding_policy Rounding policy.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*
	* @return a status
	*/
	static Status validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy,
	const ActivationLayerInfo &act_info = ActivationLayerInfo());

	// Inherited methods overridden:
	void run() override;

	private:
	struct Impl;
	std::unique_ptr<Impl> _impl;
	};

	/** Basic function to run @ref NEComplexPixelWiseMultiplicationKernel. */
	class NEComplexPixelWiseMultiplication : public IFunction
	{
	public:
	/** Default Constructor */
	NEComplexPixelWiseMultiplication();
	/** Default Destructor */
	~NEComplexPixelWiseMultiplication();
	/** Prevent instances of this class from being copied (As this class contains pointers) */
	NEComplexPixelWiseMultiplication(const NEComplexPixelWiseMultiplication &) = delete;
	/** Default move constructor */
	NEComplexPixelWiseMultiplication(NEComplexPixelWiseMultiplication &&);
	/** Prevent instances of this class from being copied (As this class contains pointers) */
	NEComplexPixelWiseMultiplication &operator=(const NEComplexPixelWiseMultiplication &) = delete;
	/** Default move assignment operator */
	NEComplexPixelWiseMultiplication &operator=(NEComplexPixelWiseMultiplication &&);
	/** Initialise the kernel's inputs, output.
	*
	* @param[in, out] input1 An input tensor. Data types supported: F32. Number of channels supported: 2 (complex tensor).
	* 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 An input tensor. Data types supported: same as @p input1. Number of channels supported: 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 The output tensor. Data types supported: same as @p input1. Number of channels: same as @p input1.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*/
	void configure(ITensor input1, ITensor input2, ITensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
	/** Static function to check if given info will lead to a valid configuration of @ref NEComplexPixelWiseMultiplication
	*
	* @param[in] input1 An input tensor info. Data types supported: F32. Number of channels supported: 2 (complex tensor).
	* @param[in] input2 An input tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
	* @param[in] output The output tensor info. Data types supported: same as @p input1. Number of channels supported: same as @p input1.
	* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Currently not supported.
	*/
	static Status validate(const ITensorInfo input1, const ITensorInfo input2, const ITensorInfo *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());

	// Inherited methods overridden:
	void run() override;

	private:
	struct Impl;
	std::unique_ptr<Impl> _impl;
	};
	}
	#endif /ARM_COMPUTE_NEPIXELWISEMULTIPLICATION_H /