code: def from_fake(fake) -> "FakeTensorMeta":
      return FakeTensorMeta(
          fake.size(),
          fake.stride(),
          fake.storage_offset(),
          fake.is_nested,
      )
  
imports: import functools
  import itertools
  from dataclasses import dataclass
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torch.utils._pytree
label_desc: Use image node_id 5 for calling the FakeTensorMeta obj's underlying member method code with example usage: obj.from_fake(fake) and returns: FakeTensorMeta