parameters: (node, **kwargs)
docstring: Map MXNet's max operator attributes to onnx's ReduceMax operator
      and return the created node.
docstring_summary: Map MXNet's max operator attributes to onnx's ReduceMax operator
      and return the created node.
docstring_tokens: Map MXNet s max operator attributes to onnx s ReduceMax operator and return the created node .
function: def convert_max(node, **kwargs):
      """Map MXNet's max operator attributes to onnx's ReduceMax operator
      and return the created node.
      """
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      mx_axis = attrs.get("axis", None)
      axes = convert_string_to_list(str(mx_axis)) if mx_axis is not None else None
  
      keepdims = get_boolean_attribute_value(attrs, "keepdims")
  
      if axes is not None:
          node = onnx.helper.make_node(
              'ReduceMax',
              inputs=input_nodes,
              outputs=[name],
              axes=axes,
              keepdims=keepdims,
              name=name
          )
  
          return [node]
      else:
          node = onnx.helper.make_node(
              'ReduceMax',
              inputs=input_nodes,
              outputs=[name],
              keepdims=keepdims,
              name=name
          )
  
          return [node]
function_tokens: def convert_max ( node , * * kwargs ) : name , input_nodes , attrs = get_inputs ( node , kwargs ) mx_axis = attrs . get ( "axis" , None ) axes = convert_string_to_list ( str ( mx_axis ) ) if mx_axis is not None else None keepdims = get_boolean_attribute_value ( attrs , "keepdims" ) if axes is not None : node = onnx . helper . make_node ( 'ReduceMax' , inputs = input_nodes , outputs = [ name ] , axes = axes , keepdims = keepdims , name = name ) return [ node ] else : node = onnx . helper . make_node ( 'ReduceMax' , inputs = input_nodes , outputs = [ name ] , keepdims = keepdims , name = name ) return [ node ]