code: def test_gaussian_noise_disable_training_state(self):
      test_input = np.ones((50, 20))
      gauss_noise = layers.GaussianNoise(std=1)
      layer_output = gauss_noise.output(test_input)
      np.testing.assert_array_equal(layer_output, test_input)
  
imports: from scipy import stats
  import numpy
  from neupy import layers
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the GaussianNoiseLayerTestCase obj's underlying member method code with example usage: obj.test_gaussian_noise_disable_training_state() without return types