code: def _hp_2d_laplacian(input_img: Tensor, kernel: Tensor) -> Tensor:
      """Applies 2-D Laplace filter to the input tensor with the given high pass filter."""
      return _signal_convolve_2d(input_img, kernel) * 2.0
  
file_path: torchmetrics/src/torchmetrics/functional/image/scc.py
imports: import math
  from typing import Optional, Tuple, Union
  import torch
  from torch import Tensor, tensor
  from torch.nn.functional import conv2d, pad
  from typing_extensions import Literal
  from torchmetrics.utilities.checks import _check_same_shape
  from torchmetrics.utilities.distributed import reduce
label_desc: Use image node_id 4 for calling a global function with example usage: _hp_2d_laplacian(input_img, kernel) and returns: unknown