CLPixelWiseMultiplication.h

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 * Copyright (c) 2016-2021 Arm Limited.
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#ifndef ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H
#define ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H

#include "arm_compute/runtime/CL/ICLOperator.h"
#include "arm_compute/runtime/IFunction.h"

namespace arm_compute
{
// Forward declaration
class CLCompileContext;
class ICLTensor;
class ITensorInfo;

/** Basic function to run @ref opencl::ClMul. */
class CLPixelWiseMultiplication : public IFunction
{
public:
    /** Default Constructor */
    CLPixelWiseMultiplication();
    /** Default Destructor */
    ~CLPixelWiseMultiplication();
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLPixelWiseMultiplication(const CLPixelWiseMultiplication &) = delete;
    /** Default move constructor */
    CLPixelWiseMultiplication(CLPixelWiseMultiplication &&);
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLPixelWiseMultiplication &operator=(const CLPixelWiseMultiplication &) = delete;
    /** Default move assignment operator */
    CLPixelWiseMultiplication &operator=(CLPixelWiseMultiplication &&);
    /** Initialise the kernel's inputs, output and convertion policy.
     *
     * Valid data layouts:
     * - All
     *
     * Valid data type configurations:
     * |src0           |src1           |dst            |
     * |:--------------|:--------------|:--------------|
     * |QASYMM8        |QASYMM8        |QASYMM8        |
     * |QASYMM8_SIGNED |QASYMM8_SIGNED |QASYMM8_SIGNED |
     * |QSYMM16        |QSYMM16        |QASYMM16       |
     * |QSYMM16        |QSYMM16        |S32            |
     * |U8             |U8             |U8             |
     * |U8             |U8             |S16            |
     * |U8             |S16            |S16            |
     * |S16            |U8             |S16            |
     * |S16            |S16            |S16            |
     * |F16            |F16            |F16            |
     * |F32            |F32            |F32            |
     * |S32            |S32            |S32            |
     *
     * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
     *                                 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: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
     *                                 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: 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.
     * @param[in]      overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
     * @param[in]      rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
     * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, float scale,
                   ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Initialise the kernel's inputs, output and convertion policy.
     *
     * @param[in]      compile_context The compile context to be used.
     * @param[in, out] input1          An input tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
     *                                 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: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32/S32
     *                                 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: 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.
     * @param[in]      overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
     * @param[in]      rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
     * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *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 CLPixelWiseMultiplication
     *
     * @param[in] input1          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
     * @param[in] input2          An input tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/F32.
     * @param[in] output          The output tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/F16/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.
     * @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
     * @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
     * @param[in] act_info        (Optional) Activation layer information in case of a fused activation.
     *
     * @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 opencl::ClComplexMul. */
class CLComplexPixelWiseMultiplication : public IFunction
{
public:
    /** Default Constructor */
    CLComplexPixelWiseMultiplication();
    /** Default Destructor */
    ~CLComplexPixelWiseMultiplication();
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLComplexPixelWiseMultiplication(const CLComplexPixelWiseMultiplication &) = delete;
    /** Default move constructor */
    CLComplexPixelWiseMultiplication(CLComplexPixelWiseMultiplication &&);
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLComplexPixelWiseMultiplication &operator=(const CLComplexPixelWiseMultiplication &) = delete;
    /** Default move assignment operator */
    CLComplexPixelWiseMultiplication &operator=(CLComplexPixelWiseMultiplication &&);
    /** Initialise the kernel's inputs, output.
     *
     * @param[in, out] input1   An input tensor. Data types supported: F16/F32. Number of channels supported: 2.
     *                          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 supported: same as @p input1.
     * @param[in]      act_info (Optional) Activation layer information in case of a fused activation.
     */
    void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Initialise the kernel's inputs, output.
     *
     * @param[in]      compile_context The compile context to be used.
     * @param[in, out] input1          An input tensor. Data types supported: F16/F32. Number of channels supported: 2.
     *                                 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 supported: same as @p input1.
     * @param[in]      act_info        (Optional) Activation layer information in case of a fused activation.
     */
    void configure(const CLCompileContext &compile_context, ICLTensor *input1, ICLTensor *input2, ICLTensor *output, const ActivationLayerInfo &act_info = ActivationLayerInfo());
    /** Static function to check if given info will lead to a valid configuration of @ref CLComplexPixelWiseMultiplication
     *
     * @param[in] input1   An input tensor info. Data types supported: F16/F32. Number of channels supported: 2.
     * @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.
     */
    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;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_CLPIXELWISEMULTIPLICATION_H */