/*
 * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
 * Copyright (c) 2016-2018 ARM Limited.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#ifndef __ARM_COMPUTE_CLNORMALIZATIONLAYEREXKERNEL_H__
#define __ARM_COMPUTE_CLNORMALIZATIONLAYEREXKERNEL_H__

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

namespace arm_compute
{
class ICLTensor;

/** Interface for the normalization layer kernel.
 */
class CLNormalizationLayerExKernel : public ICLKernel
{
public:
  /** Constructor */
  CLNormalizationLayerExKernel();
  /** Prevent instances of this class from being copied (As this class contains pointers) */
  CLNormalizationLayerExKernel(const CLNormalizationLayerExKernel &) = delete;
  /** Prevent instances of this class from being copied (As this class contains pointers) */
  CLNormalizationLayerExKernel &operator=(const CLNormalizationLayerExKernel &) = delete;
  /** Default Move Constructor. */
  CLNormalizationLayerExKernel(CLNormalizationLayerExKernel &&) = default;
  /** Default move assignment operator */
  CLNormalizationLayerExKernel &operator=(CLNormalizationLayerExKernel &&) = default;
  /** Set the input and output tensors.
   *
   * @param[in]  input     Source tensor. 3 lower dims represent a single input with dimensions
   * [width, height, IFM],
   *                       and an optional 4th dimension for batch of inputs. Data types supported:
   * F16/F32.
   * @param[out] output    Destination tensor. Output will have the same number of dimensions as
   * input. Data types supported: same as @p input.
   * @param[in]  norm_info Normalization layer information like the normalization type,
   * normalization size and other parameters.
   */
  void configure(const ICLTensor *input, ICLTensor *output, NormalizationLayerInfo norm_info);
  /** Static function to check if given info will lead to a valid configuration of @ref
   * CLNormalizationLayerKernel
   *
   * @param[in] input     Source tensor. 3 lower dims represent a single input with dimensions
   * [width, height, IFM],
   *                      and an optional 4th dimension for batch of inputs. Data types supported:
   * F16/F32.
   * @param[in] output    Destination tensor. Output will have the same number of dimensions as
   * input. Data types supported: same as @p input.
   * @param[in] norm_info Normalization layer information like the normalization type, normalization
   * size and other parameters.
   *
   * @return a status
   */
  static Status validate(const ITensorInfo *input, const ITensorInfo *output,
                         NormalizationLayerInfo norm_info);

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

private:
  const ICLTensor *_input;
  ICLTensor *_output;
  BorderSize _border_size;
  bool _is_in_map;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLNORMALIZATIONLAYEREXKERNEL_H__ */