class_docstr: Converts a video from dtype float32 to dtype uint8.
class_docstr_tok: ["Converts","a","video","from","dtype","float32","to","dtype","uint8","."]
code: def __init__(self):
      super().__init__()
      self.convert_func = torchvision.transforms.ConvertImageDtype(
          torch.uint8
      )
  
imports: from typing import Callable, Dict, List, Optional, Tuple
  import pytorchvideo.transforms.functional
  import torch
  import torchvision.transforms
label_desc: Use image node_id 1 to create a new ConvertFloatToUint8 object from inherited base classes: torch.nn with example: obj = ConvertFloatToUint8()