class_docstr: Video Augmentation for batched video input: input_signal shape (B, C, T, H, W) 
class_docstr_tok: ["Video","Augmentation","for","batched","video","input",":","input_signal","shape","(","B",",","C",",","T",",","H",",","W",")"]
docstr: Returns definitions of module input ports.
docstr_tok: ["Returns","definitions","of","module","input","ports","."]
code: def input_types(self):
      """Returns definitions of module input ports."""
      return OrderedDict(
          {
              "input_signal": NeuralType(
                  ("B", "D", "T", "H", "W"), VideoSignal()
              ),
          }
      )
  
file_path: NeMo/nemo/collections/multimodal/speech_cv/modules/video_augment.py
imports: import random
  from collections import OrderedDict
  import torch
  from torch import nn
  from nemo.core.classes.module import NeuralModule
  from nemo.core.neural_types import NeuralType, VideoSignal
label_desc: Use image node_id 2 for calling the VideoAugmentation obj's underlying member method code with example usage: obj.input_types() and returns: OrderedDict