class_docstr: Glue together encoder transform, entropy model and decoder transform
code: def _on_cpu(self) -> bool:
      cpu = torch.device("cpu")
      for param in self.parameters():
          if param.device != cpu:
              return False
      return True
  
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 11 for calling the VCTPipeline obj's underlying member method code with example usage: obj._on_cpu() and returns: True, False