/*
 * Copyright (c) 2018-2020 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_CLNORMALIZEPLANARYUVLAYERKERNEL_H
#define ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYERKERNEL_H

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

namespace arm_compute
{
class ICLTensor;

/** Interface for the NormalizePlanarYUV layer kernel. */
class CLNormalizePlanarYUVLayerKernel : public ICLKernel
{
public:
    /** Constructor */
    CLNormalizePlanarYUVLayerKernel();
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLNormalizePlanarYUVLayerKernel(const CLNormalizePlanarYUVLayerKernel &) = delete;
    /** Prevent instances of this class from being copied (As this class contains pointers) */
    CLNormalizePlanarYUVLayerKernel &operator=(const CLNormalizePlanarYUVLayerKernel &) = delete;
    /** Default Move Constructor. */
    CLNormalizePlanarYUVLayerKernel(CLNormalizePlanarYUVLayerKernel &&) = default;
    /** Default move assignment operator */
    CLNormalizePlanarYUVLayerKernel &operator=(CLNormalizePlanarYUVLayerKernel &&) = default;
    /** Default destructor */
    ~CLNormalizePlanarYUVLayerKernel() = default;

    /** Set the input and output tensors.
     *
     * @param[in]  input  Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
     *                    Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
     * @param[out] output Destination tensor. Data type supported: same as @p input
     * @param[in]  mean   Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
     * @param[in]  std    Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
     *                    Data types supported: same as @p input
     */
    void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
    /** Set the input and output tensors.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  input           Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
     *                             Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
     * @param[out] output          Destination tensor. Data type supported: same as @p input
     * @param[in]  mean            Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
     * @param[in]  std             Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
     *                             Data types supported: same as @p input
     */
    void configure(const CLCompileContext &compile_context,
                   const ICLTensor        *input,
                   ICLTensor              *output,
                   const ICLTensor        *mean,
                   const ICLTensor        *std);
    /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel
     *
     * @param[in]  input  Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
     *                    Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
     * @param[out] output Destination tensor info. Data type supported: same as @p input
     * @param[in]  mean   Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
     * @param[in]  std    Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.
     *                    Data types supported: same as @p input
     *
     * @return a status
     */
    static Status
    validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std);

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

private:
    const ICLTensor *_input;
    ICLTensor       *_output;
    const ICLTensor *_mean;
    const ICLTensor *_std;
};
} // namespace arm_compute
#endif /*ARM_COMPUTE_CLNORMALIZEPLANARYUVLAYERKERNEL_H */