code: def __init__(self) -> None:
      super().__init__()
      import transformers
      from packaging.version import Version
  
      assert Version(transformers.__version__) <= Version(
          "4.33.0"
      ), "The Whisper model should run on a transformers version not greater than 4.33.0."
  
imports: import warnings
  from functools import partial
  from typing import Callable, Dict, List, Tuple
  import numpy
  import torch.nn
  from torch import Tensor
  import colossalai.shardformer.layer
  from ..modeling.jit import get_jit_fused_dropout_add_func
  from ..modeling.whisper import WhisperPipelineForwards, get_jit_fused_whisper_decoder_layer_forward, get_jit_fused_whisper_encoder_layer_forward, get_whisper_flash_attention_forward
  from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
label_desc: Use image node_id 1 to create a new WhisperPolicy object from inherited base classes: Policy with example: obj = WhisperPolicy()