text: 
  // =================================================================================================
  // This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
  // project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
  // width of 100 characters per line.
  //
  // Author(s):
  //   Cedric Nugteren <www.cedricnugteren.nl>
  //
  // This file implements the Xcol2im class (see the header for information about the class).
  //
  // =================================================================================================
  
  #include "routines/levelx/xcol2im.hpp"
  
  #include <string>
  #include <vector>
  
  namespace clblast {
  // =================================================================================================
  
  // Constructor: forwards to base class constructor
  template <typename T>
  Xcol2im<T>::Xcol2im(Queue &queue, EventPointer event, const std::string &name):
      Routine(queue, event, name, {"Copy"}, PrecisionValue<T>(), {}, {
  #include "../../kernels/levelx/col2im.opencl"
      }) {
  }
  
  // =================================================================================================
  
  // The main routine
  template <typename T>
  void Xcol2im<T>::DoCol2im(const KernelMode kernel_mode,
                            const size_t channels, const size_t height, const size_t width,
                            const size_t kernel_h, const size_t kernel_w, const size_t pad_h,
                            const size_t pad_w, const size_t stride_h, const size_t stride_w,
                            const size_t dilation_h, const size_t dilation_w,
                            const Buffer<T> &col_buffer, const size_t col_offset,
                            const Buffer<T> &im_buffer, const size_t im_offset) {
  
    // Flip the output along kernel_h and kernel_w, or not.
    const auto kernel_name = (kernel_mode == KernelMode::kConvolution) ? "Xcol2imKernelFlip" : "Xcol2imKernelNormal";
  
    // Makes sure all dimensions are larger than zero
    if ((channels == 0) || (height == 0) || (width == 0)) { throw BLASError(StatusCode::kInvalidDimension); }
  
    // Sets the output height and width
    const auto size_h = height + 2 * pad_h;
    const auto padding_h = dilation_h * (kernel_h - 1) + 1;
    const auto col_h = (size_h >= padding_h) ? (size_h - padding_h) / stride_h + 1 : 1;
    const auto size_w = width + 2 * pad_w;
    const auto padding_w = dilation_w * (kernel_w - 1) + 1;
    const auto col_w = (size_w >= padding_w) ? (size_w - padding_w) / stride_w + 1 : 1;
  
    int stride_bez_h = 0;
    int stride_bez_w = 0;
    int dilation_bez_h = 0;
    int dilation_bez_w = 0;
    int gcd_h = 0;
    int gcd_w = 0;
    EuclidGCD(static_cast<int>(stride_h), static_cast<int>(dilation_h), stride_bez_h, dilation_bez_h, gcd_h);
    EuclidGCD(static_cast<int>(stride_w), static_cast<int>(dilation_w), stride_bez_w, dilation_bez_w, gcd_w);
  
    // Retrieves the kernel from the compiled binary
    auto kernel = Kernel(program_, kernel_name);
  
    // Sets the kernel arguments
    kernel.SetArgument(0, static_cast<int>(height));
    kernel.SetArgument(1, static_cast<int>(width));
    kernel.SetArgument(2, static_cast<int>(channels));
    kernel.SetArgument(3, static_cast<int>(col_h));
    kernel.SetArgument(4, static_cast<int>(col_w));
    kernel.SetArgument(5, static_cast<int>(kernel_h));
    kernel.SetArgument(6, static_cast<int>(kernel_w));
    kernel.SetArgument(7, static_cast<int>(pad_h));
    kernel.SetArgument(8, static_cast<int>(pad_w));
    kernel.SetArgument(9, static_cast<int>(stride_h));
    kernel.SetArgument(10, static_cast<int>(stride_w));
    kernel.SetArgument(11, static_cast<int>(dilation_h));
    kernel.SetArgument(12, static_cast<int>(dilation_w));
    kernel.SetArgument(13, stride_bez_h);
    kernel.SetArgument(14, stride_bez_w);
    kernel.SetArgument(15, dilation_bez_h);
    kernel.SetArgument(16, dilation_bez_w);
    kernel.SetArgument(17, gcd_h);
    kernel.SetArgument(18, gcd_w);
    kernel.SetArgument(19, col_buffer());
    kernel.SetArgument(20, static_cast<int>(col_offset));
    kernel.SetArgument(21, im_buffer());
    kernel.SetArgument(22, static_cast<int>(im_offset));
  
    // Launches the kernel
    const auto w_ceiled = Ceil((width - 1) / gcd_w + 1, db_["COPY_DIMX"]);
    const auto h_ceiled = Ceil((height - 1) / gcd_h + 1, db_["COPY_DIMY"]);
    const auto global = std::vector<size_t>{w_ceiled, h_ceiled * channels};
    const auto local = std::vector<size_t>{db_["COPY_DIMX"], db_["COPY_DIMY"]};
    RunKernel(kernel, queue_, device_, global, local, event_);
  }
  
  // =================================================================================================
  
  // Compiles the templated class
  template class Xcol2im<half>;
  template class Xcol2im<float>;
  template class Xcol2im<double>;
  template class Xcol2im<float2>;
  template class Xcol2im<double2>;
  
  // =================================================================================================
  } // namespace clblast
  