original_docstring: Map MXNet's Concat operator attributes to onnx's Concat operator
      and return the created node.
      
docstring: Map MXNet's Concat operator attributes to onnx's Concat operator
  and return the created node.
docstring_tokens: Map MXNet ' s Concat operator attributes to onnx ' s Concat operator and return the created node .
code: def convert_concat(node, **kwargs):
      """Map MXNet's Concat operator attributes to onnx's Concat operator
      and return the created node.
      """
      onnx = import_onnx_modules()
      name = node["name"]
      inputs = node["inputs"]
      proc_nodes = kwargs["proc_nodes"]
      input_names = [proc_nodes[kwargs["index_lookup"][i[0]]].name for i in inputs]
      axis = int(node.get("attrs", {}).get("dim", 1))
      concat_node = onnx.helper.make_node(
          "Concat",
          input_names,
          [name],
          axis=axis,
          name=name
      )
      return [concat_node]
code_tokens: def convert_concat ( node , ** kwargs ) : onnx = import_onnx_modules ( ) name = node [ "name" ] inputs = node [ "inputs" ] proc_nodes = kwargs [ "proc_nodes" ] input_names = [ proc_nodes [ kwargs [ "index_lookup" ] [ i [ 0 ] ] ] . name for i in inputs ] axis = int ( node . get ( "attrs" , { } ) . get ( "dim" , 1 ) ) concat_node = onnx . helper . make_node ( "Concat" , input_names , [ name ] , axis = axis , name = name ) return [ concat_node ]
short_docstring: Map MXNet's Concat operator attributes to onnx's Concat operator
  and return the created node.
short_docstring_tokens: Map MXNet ' s Concat operator attributes to onnx ' s Concat operator and return the created node .
comment: """Map MXNet's Concat operator attributes to onnx's Concat operator
      and return the created node.
      """