code: def __init__(self, model: "Whisper", initial_token_length: int):
      self.model: "Whisper" = model
      self.initial_token_length = initial_token_length
      self.kv_cache = {}
      self.hooks = []
  
      key_modules = [
          block.attn.key for block in self.model.decoder.blocks
      ]
      value_modules = [
          block.attn.value for block in self.model.decoder.blocks
      ]
      self.kv_modules = key_modules + value_modules
  
imports: from dataclasses import dataclass, field, replace
  from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.distributions import Categorical
  from .audio import CHUNK_LENGTH
  from .tokenizer import Tokenizer, get_tokenizer
  from .utils import compression_ratio
label_desc: Use image node_id 1 to create a new PyTorchInference object from inherited base classes: Inference with example: obj = PyTorchInference(model, initial_token_length)