code: def xexpx(a):
      """Computes `a*exp(a)`.
  
      This function makes the outputs more stable when the inputs of this function converge to :math:`-\\infty`.
  
      :param torch.Tensor a:
      :return: Equivalent of `a*torch.exp(a)`.
      """
      mask = a == float("-inf")
      y = a * torch.exp(a)
      y[mask] = 0.0
      return y
  
imports: import math
  import warnings
  import torch
  import pyro
  from pyro import poutine
  from pyro.contrib.oed.search import Search
  from pyro.contrib.util import lexpand
  from pyro.infer import SVI, EmpiricalMarginal, Importance
  from pyro.infer.autoguide.utils import mean_field_entropy
  from pyro.util import torch_isinf, torch_isnan
label_desc: Use image node_id 23 for calling a global function with example usage: xexpx(a) and returns: y