text: /**
   * @file   decl.hpp
   * @author Sébastien Rouault <sebastien.rouault@epfl.ch>
   *
   * @section LICENSE
   *
   * Copyright © 2018-2019 Sébastien ROUAULT.
   *
   * 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.
   *
   * @section DESCRIPTION
   *
   * Median GAR, declarations.
  **/
  
  #pragma once
  
  #include <tensorflow/core/framework/op_kernel.h>
  #include <tensorflow/core/framework/shape_inference.h>
  
  #include <common.hpp>
  
  using namespace tensorflow;
  using namespace tensorflow::shape_inference;
  
  using CPUDevice = Eigen::ThreadPoolDevice;
  using GPUDevice = Eigen::GpuDevice;
  
  // -------------------------------------------------------------------------- //
  // Op configuration
  
  #define OP_NAME Median
  #define OP_TEXT TO_STRING(OP_NAME)
  
  // -------------------------------------------------------------------------- //
  // Kernel declaration
  namespace OP_NAME {
  
  template<class Device, class T> class Kernel: public Static {
  public:
      static void process(OpKernelContext&, size_t const, size_t const, Tensor const&, Tensor&);
  };
  
  }
  