class_docstr: This contains the data structures to track the execution order. We track
  the pre-forward order on the *first* iteration for forward prefetching
  (which thus assumes static graph) and the post-forward order on *every*
  iteration for backward prefetching (which thus does not assume static
  graph but may be provide an incorrect order).
code: def is_first_iter(self) -> bool:
      return self._iter == 0
  
imports: import itertools
  import warnings
  from enum import auto, Enum
  from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.distributed
  import torch.distributed.fsdp._traversal_utils
  import torch.nn
  from torch.distributed.fsdp._common_utils import _FSDPState, _get_param_to_fqns
  from torch.distributed.fsdp._flat_param import FlatParamHandle
label_desc: Use image node_id 3 for calling the _ExecOrderData obj's underlying member method code with example usage: obj.is_first_iter() and returns: unknown