code: def detach(batch: Batch) -> None:
      """Detaches from autograd graph."""
      for i, x in enumerate(batch):
          batch[i] = x.detach().requires_grad_(x.requires_grad)
  
file_path: pytorch/torch/distributed/pipeline/sync/_balance/profile.py
imports: import copy
  import time
  from typing import Any, Generator, List, Union, Sequence
  import torch
  from torch import Tensor
  import torch.nn
  from ..microbatch import Batch
label_desc: Use image node_id 2 for calling a global function with example usage: detach(batch) without return types