class_docstr: Stacks time within the feature dim, so as to behave as a downsampling operation.
class_docstr_tok: ["Stacks","time","within","the","feature","dim",",","so","as","to","behave","as","a","downsampling","operation","."]
code: def __init__(self, factor: int):
      super().__init__()
      self.factor = int(factor)
  
imports: import math
  from typing import List, Optional, Tuple, Union
  import numpy
  import torch
  from nemo.utils import logging
label_desc: Use image node_id 1 to create a new StackTime object from inherited base classes: torch.nn with example: obj = StackTime(factor)