code: def check_torch_version_for_ew_sample() -> bool:
      return torch.__version__ >= (1, 13)
  
imports: import io
  from typing import Callable, Dict, Iterable, List, Union
  import numpy
  import torch
  import torch.nn
  from opacus.grad_sample import wrap_model
  from opacus.utils.module_utils import trainable_parameters
  from opacus.utils.packed_sequences import compute_seq_lengths
  from torch.nn.utils.rnn import PackedSequence, pad_packed_sequence
label_desc: Use image node_id 5 for calling a global function with example usage: check_torch_version_for_ew_sample() and returns: unknown