code: def exp_t(u, t):
      """Compute exp_t for `u'."""
      if t == 1:
          return u.exp()
      else:
          return (1.0 + (1.0 - t) * u).relu().pow(1.0 / (1.0 - t))
  
imports: from typing import Optional
  import torch
  from torch import nn, Tensor
label_desc: Use image node_id 2 for calling a global function with example usage: exp_t(u, t) and returns: u, unknown