code: def forward(self, img1, img2, flow, valid_flow_mask):
      for t in self.transforms:
          img1, img2, flow, valid_flow_mask = t(
              img1, img2, flow, valid_flow_mask
          )
      return img1, img2, flow, valid_flow_mask
  
imports: import torch
  import torchvision.transforms
  import torchvision.transforms.functional
label_desc: Use image node_id 2 for calling the Compose obj's underlying member method code with example usage: obj.forward(img1, img2, flow, valid_flow_mask) and returns: img1,  img2,  flow,  valid_flow_mask