code: def __init__(self, pad_value: Union[float, Sequence[float]] = 0.0):
      # reshape makes sure array always have one dimension (for the single float case)
      self.pad_value = np.array(pad_value).reshape(-1)
  
imports: from icevision.imports import *
  from icevision.core import *
  from icevision.tfms.batch.batch_transform import BatchTransform
label_desc: Use image node_id 1 to create a new ImgPadStack object from inherited base classes: BatchTransform with example: obj = ImgPadStack(pad_value)