code: def log_map(x, y):
      """Perform the log step."""
      d = dist(x, y)
      return (d / torch.sinh(d)) * (y - torch.cosh(d) * x)
  
file_path: flair/flair/nn/distance/hyperbolic.py
imports: import torch
  from torch import Tensor, nn
label_desc: Use image node_id 5 for calling a global function with example usage: log_map(x, y) and returns: unknown