original_docstring: Map MXNet's _maximum operator attributes to onnx's Max operator
      and return the created node.
      
docstring: Map MXNet's _maximum operator attributes to onnx's Max operator
  and return the created node.
docstring_tokens: Map MXNet ' s _maximum operator attributes to onnx ' s Max operator and return the created node .
code: def convert_maximum(node, **kwargs):
      """Map MXNet's _maximum operator attributes to onnx's Max operator
      and return the created node.
      """
      onnx = import_onnx_modules()
      proc_nodes = kwargs["proc_nodes"]
      node_inputs = node["inputs"]
  
      input_node_list = []
      for node_input in node_inputs:
          node_id = kwargs["index_lookup"][node_input[0]]
          input_node_list.append(proc_nodes[node_id].name)
  
      name = node["name"]
  
      node = onnx.helper.make_node(
          'Max',
          inputs=input_node_list,
          outputs=[name],
          name=name,
      )
  
      return [node]
code_tokens: def convert_maximum ( node , ** kwargs ) : onnx = import_onnx_modules ( ) proc_nodes = kwargs [ "proc_nodes" ] node_inputs = node [ "inputs" ] input_node_list = [ ] for node_input in node_inputs : node_id = kwargs [ "index_lookup" ] [ node_input [ 0 ] ] input_node_list . append ( proc_nodes [ node_id ] . name ) name = node [ "name" ] node = onnx . helper . make_node ( 'Max' , inputs = input_node_list , outputs = [ name ] , name = name , ) return [ node ]
short_docstring: Map MXNet's _maximum operator attributes to onnx's Max operator
  and return the created node.
short_docstring_tokens: Map MXNet ' s _maximum operator attributes to onnx ' s Max operator and return the created node .
comment: """Map MXNet's _maximum operator attributes to onnx's Max operator
      and return the created node.
      """