code: def __enter__(self):
      super().__enter__()
      if AttentionMaskConverter is not None:
          # TODO: Remove this _make_causal_mask patch if once transformers if much above 4.35
          AttentionMaskConverter._make_causal_mask = (
              _make_causal_mask_patched_staticmethod
          )
  
          if _transformers_version >= version.parse("4.36"):
              AttentionMaskConverter._unmask_unattended = (
                  _unmask_unattended_patched_staticmethod
              )
  
      if _transformers_version >= version.parse("4.36"):
          patch_everywhere(
              "_prepare_4d_causal_attention_mask_for_sdpa",
              _prepare_4d_causal_attention_mask_for_sdpa_patched,
          )
  
imports: import dataclasses
  import functools
  import inspect
  import math
  import sys
  import types
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Tuple, Union
  import transformers
  from packaging import version
  from transformers.models.speecht5.modeling_speecht5 import SpeechT5EncoderWithSpeechPrenet
  from transformers.utils import is_torch_available
  from ...configuration_utils import _transformers_version
  from ...utils import logging
label_desc: Use image node_id 1 for calling the DecoderModelPatcher obj's underlying member method code with example usage: obj.__enter__() without return types