code: def pyro_guide(self, input, beta=1.0, name_prefix=""):
      # Inducing values q(u)
      with pyro.poutine.scale(scale=beta):
          variational_distribution = (
              self.variational_strategy.variational_distribution
          )
          variational_distribution = variational_distribution.to_event(
              len(variational_distribution.batch_shape)
          )
          pyro.sample(name_prefix + ".u", variational_distribution)
  
      # Draw samples from q(f)
      function_dist = self(input, prior=False)
      function_dist = pyro.distributions.Normal(
          loc=function_dist.mean, scale=function_dist.stddev
      ).to_event(len(function_dist.event_shape) - 1)
      return function_dist.mask(False)
  
imports: import pyro
  import torch
label_desc: Use image node_id 1 for calling the _PyroMixin obj's underlying member method code with example usage: obj.pyro_guide(input, beta, name_prefix) and returns: function_dist