code: def _get_operator_class(node_op_type, attributes):
      """
      Returns the `crypten.nn.Module` type corresponding to an ONNX node.
      """
      crypten_class = getattr(
          module, node_op_type, ONNX_TO_CRYPTEN.get(node_op_type, None)
      )
      if crypten_class is None:
          raise ValueError(
              f"CrypTen does not support ONNX op {node_op_type}."
          )
      return crypten_class
  
imports: import copy
  import io
  import onnx
  import torch
  import torch.onnx.symbolic_helper
  import torch.onnx.utils
  from onnx import numpy_helper
  from torch.onnx import OperatorExportTypes
  from .None import module
label_desc: Use image node_id 11 for calling a global function with example usage: _get_operator_class(node_op_type, attributes) and returns: crypten_class