class_docstr: Helper transform wrapper to make the given transform deterministic
class_docstr_tok: ["Helper","transform","wrapper","to","make","the","given","transform","deterministic"]
code: def __init__(self, transform, seed=0):
      super().__init__()
      self.seed = seed
      self.transform = transform
  
imports: import unittest
  from typing import List
  import torch
  import torchaudio.transforms
  from parameterized import parameterized
  from torch.autograd import gradcheck, gradgradcheck
  from torchaudio_unittest.common_utils import get_spectrogram, get_whitenoise, nested_params, rnnt_utils, TestBaseMixin
label_desc: Use image node_id 1 to create a new _DeterministicWrapper object from inherited base classes: torch.nn with example: obj = _DeterministicWrapper(transform, seed)