arm_compute/runtime/NEON/functions/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
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
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#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 */