code: def test_get_output_for_non_deterministic(self, layer):
      input = theano.shared(numpy.ones((100, 100)))
      result = layer.get_output_for(input, deterministic=False)
      result_eval = result.eval()
      assert (result_eval != input.eval()).all()
      assert result_eval.mean() != 1.0
      assert numpy.round(result_eval.mean()) == 1.0
  
imports: from mock import Mock
  import numpy
  import numpy
  from numpy.random import RandomState
  import theano
  import pytest
  from lasagne.random import get_rng, set_rng
label_desc: Use image node_id 3 for calling the TestGaussianNoiseLayer obj's underlying member method code with example usage: obj.test_get_output_for_non_deterministic(layer) without return types