CLMaxUnpoolingLayerKernel.h

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 * Copyright (c) 2020-2021 Arm Limited.
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#ifndef ARM_COMPUTE_CLMAXUNPOOLINGLAYERKERNEL_H
#define ARM_COMPUTE_CLMAXUNPOOLINGLAYERKERNEL_H

#include "src/core/CL/ICLKernel.h"

namespace arm_compute
{
class ICLTensor;

/** Interface for the pooling layer kernel */
class CLMaxUnpoolingLayerKernel : public ICLKernel
{
public:
    /** Default constructor */
    CLMaxUnpoolingLayerKernel();
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLMaxUnpoolingLayerKernel(const CLMaxUnpoolingLayerKernel &) = delete;
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLMaxUnpoolingLayerKernel &operator=(const CLMaxUnpoolingLayerKernel &) = delete;
    /** Allow instances of this class to be moved */
    CLMaxUnpoolingLayerKernel(CLMaxUnpoolingLayerKernel &&) = default;
    /** Allow instances of this class to be moved */
    CLMaxUnpoolingLayerKernel &operator=(CLMaxUnpoolingLayerKernel &&) = default;
    /** Default destructor */
    ~CLMaxUnpoolingLayerKernel() = default;
    /** Set the input and output tensors.
     *
     * @note Output shape must be equal to the shape of the original input to pool.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  input           Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
     * @param[in]  indices         Tensor containing the offset to store the input elements in the output tensor.
     *                             @ref CLPoolingLayer with indices should precede this function in order to
     *                             properly reconstruct the output tensor.
     *                             The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32.
     * @param[out] output          Destination tensor. Data types supported: Same as @p input.
     * @param[in]  pool_info       Contains pooling operation information described in @ref PoolingLayerInfo.
     */
    void configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *indices, ICLTensor *output, const PoolingLayerInfo &pool_info);
    /** Static function to check if given info will lead to a valid configuration of @ref CLMaxUnpoolingLayerKernel
     *
     * @param[in] input     Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
     * @param[in] output    Destination tensor info. Data types supported: Same as @p input.
     * @param[in] indices   TensorInfo associated to the tensor containing the offset to store the input elements in the output tensor.
     *                      @ref CLPoolingLayer with indices should precede this function in order to
     *                      properly reconstruct the output tensor.
     *                      The tensor shape of this tensor has to be equal to the input tensor shape. Data type supported: U32.
     * @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
     *
     * @return a status
     */
    static Status validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, const PoolingLayerInfo &pool_info);

    // Inherited methods overridden
    void run(const Window &window, cl::CommandQueue &queue) override;

private:
    const ICLTensor *_input;
    ICLTensor       *_output;
    const ICLTensor *_indices;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_CLMAXUNPOOLINGLAYERKERNEL_H */