CLActivationLayer.h

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 * Copyright (c) 2016-2021, 2023 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
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#ifndef ARM_COMPUTE_CLACTIVATIONLAYER_H
#define ARM_COMPUTE_CLACTIVATIONLAYER_H
 
#include "arm_compute/core/Types.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "arm_compute/runtime/CL/CLRuntimeContext.h"
#include "arm_compute/runtime/IFunction.h"
 
namespace arm_compute
{
class CLCompileContext;
class ICLTensor;
class ITensorInfo;
 
/** Basic function to run @ref opencl::kernels::ClActivationKernel
 *
 * @note The function simulates an activation layer with the specified activation function.
 */
class CLActivationLayer : public IFunction
{
public:
    /** Constructor
     *
     * @param[in] ctx Runtime context to be used by the function
     */
    CLActivationLayer(CLRuntimeContext *ctx = nullptr);
    /** Destructor */
    ~CLActivationLayer();
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLActivationLayer(const CLActivationLayer &) = delete;
    /** Default move constructor */
    CLActivationLayer(CLActivationLayer &&);
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLActivationLayer &operator=(const CLActivationLayer &) = delete;
    /** Default move assignment operator */
    CLActivationLayer &operator=(CLActivationLayer &&);
    /** Set the input and output tensor.
     *
     * Valid data layouts:
     * - All
     *
     * Valid data type configurations:
     * |src            |dst            |
     * |:--------------|:--------------|
     * |QASYMM8        |QASYMM8        |
     * |QASYMM8_SIGNED |QASYMM8_SIGNED |
     * |QSYMM16        |QSYMM16        |
     * |F16            |F16            |
     * |F32            |F32            |
     *
     *
     * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
     *
     * @param[in, out] input    Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
     *                          of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
     * @param[out]     output   Destination tensor. Data type supported: same as @p input
     * @param[in]      act_info Activation layer parameters.
     */
    void configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info);
    /** Set the input and output tensor.
     *
     * @note If the output tensor is a nullptr or is equal to the input, the activation function will be performed in-place
     *
     * @param[in]      compile_context The compile context to be used.
     * @param[in, out] input           Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
     *                                 of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
     * @param[out]     output          Destination tensor. Data type supported: same as @p input
     * @param[in]      act_info        Activation layer parameters.
     */
    void configure(const CLCompileContext &compile_context,
                   ICLTensor              *input,
                   ICLTensor              *output,
                   ActivationLayerInfo     act_info);
    /** Static function to check if given info will lead to a valid configuration of @ref CLActivationLayer
     *
     * @param[in] input    Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
     *                     of the activation function. Data types supported: QASYMM8/QASYMM8_SIGNED/QSYMM16/F16/F32.
     * @param[in] output   Destination tensor info. Data type supported: same as @p input
     * @param[in] act_info Activation layer information.
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
 
    // Inherited methods overridden:
    void run() override;
 
private:
    struct Impl;
    std::unique_ptr<Impl> _impl;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_CLACTIVATIONLAYER_H */