code: def euclidean(x1, x2):
      """Compute the Euclidean distance
  
      Args:
          x1 (torch.Tensor): variables set 1
          x2 (torch.Tensor): variables set 2
  
      Returns:
          torch.Tensor: Euclidean distance
      """
      return ((x1 - x2) ** 2).sum().sqrt()
  
file_path: pykale/kale/predict/losses.py
imports: import torch
  import torch.nn
  from torch.autograd import grad
  from torch.nn import functional
label_desc: Use image node_id 10 for calling a global function with example usage: euclidean(x1, x2) and returns: unknown