class_docstr: Glue together encoder transform, entropy model and decoder transform
code: def _prepare_for_compression(self):
      self.eval()
      self.entropy_model.update(force=False)
      self._code_to_strings = True
      assert self.training is False
  
imports: import itertools
  import math
  from typing import Generator, List, NamedTuple, Optional, Sequence, Tuple, Union
  import torch
  import torch.nn
  import utils.memoize
  from datamodules.video_data_api import Scenes, VideoData
  from neural.entropy_model import PreviousLatent, VCTEntropyModel
  from torch import Tensor
label_desc: Use image node_id 13 for calling the VCTPipeline obj's underlying member method code with example usage: obj._prepare_for_compression() without return types