class_docstr: It is base class for RNN layer classes.
  It contains some common fields and methods for child classes.
class_docstr_tok: ["It","is","base","class","for","RNN","layer","classes",".","It","contains","some","common","fields","and","methods","for","child","classes","."]
code: def get_shape_desc(self, frontend_type):
      raise NotImplementedError(
          "subclasses must override get_shape_desc(frontend_type)!"
      )
  
imports: import torch
  import tvm
  import tvm.testing
  import onnx
  import io
  import sys
  from tvm import relay
  from tvm.contrib import graph_executor
  from torch import nn
label_desc: Use image node_id 6 for calling the RNN_Model obj's underlying member method code with example usage: obj.get_shape_desc(frontend_type) without return types