code: def logplusexp(a: Tensor, b: Tensor) -> Tensor:
      """Computes log(exp(a) + exp(b)) similar to logsumexp."""
      ab = torch.stack(torch.broadcast_tensors(a, b), dim=-1)
      return logsumexp(ab, dim=-1)
  
imports: from __future__ import annotations
  import math
  from typing import Callable, Tuple, Union
  import torch
  from botorch.exceptions import UnsupportedError
  from botorch.utils.constants import get_constants_like
  from torch import finfo, Tensor
  from torch.nn.functional import softplus
label_desc: Use image node_id 10 for calling a global function with example usage: logplusexp(a, b) and returns: logsumexp