class_docstr: A special proxy which lets "shape", "size", "dim", and a few other
  attribute accesses pass through to the underlying  module parameter object,
  so that conditional tests on these attributes will not throw exception during tracing
class_docstr_tok: ["A","special","proxy","which","lets","``","shape","''",",","``","size","''",",","``","dim","''",",","and","a","few","other","attribute","accesses","pass","through","to","the","underlying","module","parameter","object",",","so","that","conditional","tests","on","these","attributes","will","not","throw","exception","during","tracing"]
code: def ndim(self):
      return self.param.ndim
  
imports: import enum
  import dis
  import copy
  import sys
  import torch
  import inspect
  import operator
  import traceback
  import collections
  from dataclasses import is_dataclass, fields
  from .graph import magic_methods, reflectable_magic_methods, Graph
  from typing import Tuple, Dict, OrderedDict, Optional, Any, Iterator, Callable
  from .node import Target, Node, Argument, base_types, map_aggregate
  from ._compatibility import compatibility
  from .operator_schemas import check_for_mutable_operation
  import torch.fx.traceback
label_desc: Use image node_id 6 for calling the ParameterProxy obj's underlying member method code with example usage: obj.ndim() and returns: self