code: def __init__(self, pad, img_size=256):
      super(Pad, self).__init__(img_size)
  
      self.pad = pad
  
      self.solt_pipeline = slt.Pad(pad)
  
      self.albumentations_pipeline = albu.Compose(
          [
              albu.PadIfNeeded(
                  min_height=pad,
                  min_width=pad,
                  border_mode=cv2.BORDER_CONSTANT,
                  value=0,
              ),
              ToTensor(
                  normalize={
                      "mean": [0.485, 0.456, 0.406],
                      "std": [0.229, 0.224, 0.225],
                  }
              ),
          ]
      )
  
      self.torchvision_pipeline = tv_transforms.Compose(
          [
              tv_transforms.Pad(pad),
              tv_transforms.ToTensor(),
              tv_transforms.Normalize(
                  mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
              ),
          ]
      )
  
imports: import cv2
  import Augmentor
  import albumentations
  from albumentations.pytorch import ToTensor
  import solt
  import solt.transforms
  from torchvision import transforms
label_desc: Use image node_id 2 to create a new Pad object from inherited base classes: BenchmarkTest with example: obj = Pad(pad, img_size)