code: def forward(self, observations={"y1": 0, "y2": 0}):
      pyro.module("guide", self)
      summed_obs = observations["y1"] + observations["y2"]
      mean = self.linear(summed_obs.view(1, 1))[0, 0]
      pyro.sample("x", dist.Normal(mean, self.std))
  
file_path: pyro/tests/infer/test_csis.py
imports: import pytest
  import torch
  import torch.nn
  import pyro
  import pyro.distributions
  import pyro.infer
  import pyro.optim
  from tests.common import assert_equal, assert_not_equal
label_desc: Use image node_id 2 for calling the Guide obj's underlying member method code with example usage: obj.forward(observations) without return types