text: /*
   * Copyright (c) 2017-2018 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_NEDEPTHWISEWEIGHTSRESHAPEKERNEL_H__
  #define __ARM_COMPUTE_NEDEPTHWISEWEIGHTSRESHAPEKERNEL_H__
  
  #include "arm_compute/core/NEON/INEKernel.h"
  
  namespace arm_compute
  {
  class ITensor;
  
  /** Interface for the depthwise weights reshape kernel.
   *  This kernel reshape original weights' low 2D dimensions into a single col and
   *  have the second dimension as the original depth size.
   **/
  class NEDepthwiseWeightsReshapeKernel : public INEKernel
  {
  public:
      const char *name() const override
      {
          return "NEDepthwiseWeightsReshapeKernel";
      }
      /** Default constructor */
      NEDepthwiseWeightsReshapeKernel();
      /** Prevent instances of this class from being copied (As this class contains pointers) */
      NEDepthwiseWeightsReshapeKernel(const NEDepthwiseWeightsReshapeKernel &) = delete;
      /** Prevent instances of this class from being copied (As this class contains pointers) */
      NEDepthwiseWeightsReshapeKernel &operator=(const NEDepthwiseWeightsReshapeKernel &) = delete;
      /** Allow instances of this class to be moved */
      NEDepthwiseWeightsReshapeKernel(NEDepthwiseWeightsReshapeKernel &&) = default;
      /** Allow instances of this class to be moved */
      NEDepthwiseWeightsReshapeKernel &operator=(NEDepthwiseWeightsReshapeKernel &&) = default;
      /** Set the input and output of the kernel.
       *
       * @param[in]  input  The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM]. Data type supported: QASYMM8, F32.
       * @param[out] output The output tensor. Data type supported: same as @p input.
       * @param[in]  biases (Optional) The input biases to add. Shape [IFM]. Data type supported: same as @p input.
       */
      void configure(const ITensor *input, ITensor *output, const ITensor *biases);
  
      /** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseWeightsReshapeKernel
       *
       * @param[in] input  The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM]. Data type supported: QASYMM8, F32.
       * @param[in] output The output tensor. Data type supported: same as @p input.
       * @param[in] biases (Optional) The input biases to add. Shape [IFM]. Data type supported: same as @p input.
       *
       * @return a status
       */
      static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *biases);
  
      // Inherited methods overridden:
      void run(const Window &window, const ThreadInfo &info) override;
  
  private:
      using DepthwiseWeightsReshapeFunction = void(const ITensor *input, const ITensor *bias, ITensor *output, const Window &window);
  
  private:
      DepthwiseWeightsReshapeFunction *_func;
      const ITensor                   *_input;
      ITensor                         *_output;
      const ITensor                   *_biases;
  };
  } // arm_compute
  #endif /*__ARM_COMPUTE_NEDEPTHWISEWEIGHTSRESHAPEKERNEL_H__ */
  