code: 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")
      use_length = attrs.get("use_length", "False")
  
      if temp != "None":
          raise AttributeError(
              "LogSoftMax currently does not support temperature!=None"
          )
  
      if use_length in ["1", "True"]:
          raise AttributeError(
              "LogSoftMax currently does not support use_length==True"
          )
  
      node = onnx.helper.make_node(
          "LogSoftmax", input_nodes, [name], axis=axis, name=name
      )
  
      return [node]
  
imports: import re
  import logging
  import numpy
  from .._export_onnx import MXNetGraph
label_desc: Use image node_id 34 for calling a global function with example usage: convert_logsoftmax(node) and returns: list