code: def __init__(
      self,
      blending: bool = True,
      resize_interpolation: Union[
          int, InterpolationMode
      ] = F.InterpolationMode.BILINEAR,
      antialias: Optional[bool] = None,
  ) -> None:
      super().__init__()
      self.resize_interpolation = _check_interpolation(
          resize_interpolation
      )
      self.blending = blending
      self.antialias = antialias
  
file_path: vision/torchvision/prototype/transforms/_augment.py
imports: from typing import Any, cast, Dict, List, Optional, Tuple, Union
  import PIL.Image
  import torch
  from torch.utils._pytree import tree_flatten, tree_unflatten
  from torchvision import tv_tensors
  from torchvision.ops import masks_to_boxes
  from torchvision.prototype import tv_tensors
  from torchvision.transforms.v2 import functional, InterpolationMode, Transform
  from torchvision.transforms.v2._utils import is_pure_tensor
  from torchvision.transforms.v2.functional._geometry import _check_interpolation
label_desc: Use image node_id 1 to create a new SimpleCopyPaste object from inherited base classes: Transform with example: obj = SimpleCopyPaste(blending, resize_interpolation, antialias)