text: /*
   * Copyright (c) 2017-2020 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_NEDEPTHCONCATENATEKERNEL_H
  #define ARM_COMPUTE_NEDEPTHCONCATENATEKERNEL_H
  
  #include "arm_compute/core/NEON/INEKernel.h"
  
  namespace arm_compute
  {
  // Forward declarations
  class ITensor;
  
  /** Interface for the depth concatenate kernel.
   *  The input tensor will be concatenated into the output tensor.
   */
  class NEDepthConcatenateLayerKernel : public INEKernel
  {
  public:
      const char *name() const override
      {
          return "NEDepthConcatenateLayerKernel";
      }
      /** Default constructor */
      NEDepthConcatenateLayerKernel();
      /** Prevent instances of this class from being copied (As this class contains pointers) */
      NEDepthConcatenateLayerKernel(const NEDepthConcatenateLayerKernel &) = delete;
      /** Prevent instances of this class from being copied (As this class contains pointers) */
      NEDepthConcatenateLayerKernel &operator=(const NEDepthConcatenateLayerKernel &) = delete;
      /** Allow instances of this class to be moved */
      NEDepthConcatenateLayerKernel(NEDepthConcatenateLayerKernel &&) = default;
      /** Allow instances of this class to be moved */
      NEDepthConcatenateLayerKernel &operator=(NEDepthConcatenateLayerKernel &&) = default;
      /** Default destructor */
      ~NEDepthConcatenateLayerKernel() = default;
      /** Initialise the kernel's inputs and output
       *
       * @param[in]     input        Input tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
       * @param[in]     depth_offset The offset on the Z axis.
       * @param[in,out] output       Output tensor. Data types supported: Same as @p input.
       *
       * @note: The output tensor's low two dimensions can't be smaller than the input one's.
       * @note: The gaps between the two lowest dimensions of input and output need to be divisible by 2.
       *
       */
      void configure(const ITensor *input, unsigned int depth_offset, ITensor *output);
      /**  Static function to check if given info will lead to a valid configuration of @ref NEDepthConcatenateLayerKernel
       *
       * @param[in] input        Input tensor info. Data types supported:  QASYMM8/QASYMM8_SIGNED/F16/F32.
       * @param[in] depth_offset The offset on the Z axis.
       * @param[in] output       Output tensor info. Data types supported: Same as @p input.
       *
       * @return a status
       */
      static Status validate(const ITensorInfo *input, unsigned int depth_offset, const ITensorInfo *output);
  
      // Inherited methods overridden:
      void run(const Window &window, const ThreadInfo &info) override;
  
  private:
      using DepthConcatFunction = void(const ITensor *in, ITensor *out, unsigned int depth_offset, const Window &window);
  
  private:
      DepthConcatFunction *_func;
      const ITensor       *_input;
      ITensor             *_output;
      unsigned int         _depth_offset;
  };
  } // namespace arm_compute
  #endif /* ARM_COMPUTE_NEDEPTHCONCATENATEKERNEL_H */
  