code: def __repr__(self):
      # We should implement this in torch/_tensor_str.py instead
      grad_fn_str = (
          f", requires_grad={self.requires_grad}"
          if self.requires_grad
          else ""
      )
      if self.grad_fn:
          grad_fn_str = f", grad_fn={self.grad_fn}"
      return f"NestedTensor(size={self._size}, offsets={self._offsets}{grad_fn_str}, contiguous={self._lengths is None})"
  
imports: from typing import Tuple
  import torch
  from torch._C import DispatchKey, DispatchKeySet
  from torch._prims_common import is_expandable_to
  from torch.fx.experimental.symbolic_shapes import has_free_symbols
  from torch.utils.weak import WeakTensorKeyDictionary
  from typing import *
label_desc: Use image node_id 8 for calling the NestedTensor obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, grad_fn_str, str, unknown, str