parameters: (node, **kwargs)
return_statement: return [node]
docstring: Map MXNet's log_softmax operator attributes to onnx's LogSoftMax operator
      and return the created node.
docstring_summary: Map MXNet's log_softmax operator attributes to onnx's LogSoftMax operator
      and return the created node.
docstring_tokens: Map MXNet s log_softmax operator attributes to onnx s LogSoftMax operator and return the created node .
function: def convert_logsoftmax(node, **kwargs):
      """Map MXNet's log_softmax operator attributes to onnx's LogSoftMax operator
      and return the created node.
      """
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      # Converting to int
      axis = int(attrs.get("axis", -1))
      temp = attrs.get("temperature", 'None')
      if temp != 'None':
          raise AttributeError("LogSoftMax: ONNX supports only temperature=None")
  
      node = onnx.helper.make_node(
          'LogSoftmax',
          input_nodes,
          [name],
          axis=axis,
          name=name
      )
      return [node]
function_tokens: def convert_logsoftmax ( node , * * kwargs ) : name , input_nodes , attrs = get_inputs ( node , kwargs ) # Converting to int axis = int ( attrs . get ( "axis" , - 1 ) ) temp = attrs . get ( "temperature" , 'None' ) if temp != 'None' : raise AttributeError ( "LogSoftMax: ONNX supports only temperature=None" ) node = onnx . helper . make_node ( 'LogSoftmax' , input_nodes , [ name ] , axis = axis , name = name ) return [ node ]