code: def __init__(
      self,
      kernel_size: tuple[int, int] | int,
      edge_threshold: float = 1.25,
      edge_dilation_kernel_size: int = 3,
  ) -> None:
      super().__init__()
      self.kernel_size = kernel_size
      self.edge_threshold = edge_threshold
      self.edge_dilation_kernel_size = edge_dilation_kernel_size
  
imports: from __future__ import annotations
  import torch.nn.functional
  from kornia.core import Module, Tensor, as_tensor, pad, tensor
  from kornia.core.check import KORNIA_CHECK, KORNIA_CHECK_SHAPE
  from .kernels import get_pascal_kernel_2d
  from .median import _compute_zero_padding
label_desc: Use image node_id 1 to create a new EdgeAwareBlurPool2D object from inherited base classes: Module with example: obj = EdgeAwareBlurPool2D(kernel_size, edge_threshold, edge_dilation_kernel_size)