class_docstr: Convert tensor data type from uint8 to float, divide value by 255.0 and
  permute the dimensions of clip tensor
class_docstr_tok: ["Convert","tensor","data","type","from","uint8","to","float",",","divide","value","by","255.0","and","permute","the","dimensions","of","clip","tensor"]
code: def __init__(self):
      pass
  
imports: import numbers
  import random
  from torchvision.transforms import RandomCrop, RandomResizedCrop
  import lavis.processors.functional_video
label_desc: Use image node_id 1 to create a new ToTensorVideo object  with example: obj = ToTensorVideo()