code: def exp_map(x, y):
      """Perform the exp step."""
      n = torch.clamp(norm(y), min=EPSILON)
      return torch.cosh(n) * x + (torch.sinh(n) / n) * y
  
file_path: flair/flair/nn/distance/hyperbolic.py
imports: import torch
  from torch import Tensor, nn
label_desc: Use image node_id 7 for calling a global function with example usage: exp_map(x, y) and returns: unknown