class_docstr: Transform for converting video frames as a list of tensors.
  
  Args:
      alpha (`int`):
          alpha value
  
  Returns:
      a list of tensors [slow_pathway, fast_pathway]
class_docstr_tok: ["Transform","for","converting","video","frames","as","a","list","of","tensors",".","Args",":","alpha","(","`","int","`",")",":","alpha","value","Returns",":","a","list","of","tensors","[","slow_pathway",",","fast_pathway","]"]
code: def __init__(self, alpha):
      super().__init__()
      self.alpha = alpha
  
imports: import os
  import logging
  import numpy
  import numbers
  import torch
  from torch import nn
  from torchvision.transforms import Compose
label_desc: Use image node_id 1 to create a new PackPathway object from inherited base classes: nn with example: obj = PackPathway(alpha)