class_docstr: Represent a batch of latents/scenes
docstr: Iterat over T, return batches of single scenes/latents
docstr_tok: ["Iterat","over","T",",","return","batches","of","single","scenes\/latents"]
code: def get_scenes_iter(self) -> List[Tensor]:
      """Iterat over T, return batches of single scenes/latents"""
      self.validate_shapes()
      scenes = []
      for i in range(self.num_scenes):
          scenes.append(self.tensor[:, i, ...])
      return scenes
  
imports: from typing import List, NamedTuple, Optional, Union
  import torch
  from torch import Tensor
label_desc: Use image node_id 6 for calling the Scenes obj's underlying member method code with example usage: obj.get_scenes_iter() and returns: scenes