class_docstr: An alternative implementation for PyTorch with auto-infering the x-y dimensions.
  https://github.com/mkocabas/CoordConv-pytorch/blob/master/CoordConv.py
class_docstr_tok: ["An","alternative","implementation","for","PyTorch","with","auto-infering","the","x-y","dimensions",".","https",":","\/\/github.com\/mkocabas\/CoordConv-pytorch\/blob\/master\/CoordConv.py"]
docstr: Args:
      x: shape(batch, channel, x_dim, y_dim)
docstr_tok: ["Args",":","x",":","shape","(","batch",",","channel",",","x_dim",",","y_dim",")"]
code: def forward(self, x):  # skipcq: PYL-W0221
      """
      Args:
          x: shape(batch, channel, x_dim, y_dim)
      """
      return append_coords(x, self.with_r)
  
file_path: pytorch-toolbelt/pytorch_toolbelt/modules/coord_conv.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the AddCoords obj's underlying member method code with example usage: obj.forward(x) and returns: append_coords