code: def test_gaussian_noise_layer(self):
      test_input = np.zeros((50, 20))
      gauss_noise = layers.GaussianNoise(std=0.5)
  
      layer_output = self.eval(
          gauss_noise.output(test_input, training=True)
      )
      self.assertTrue(stats.mstats.normaltest(layer_output))
  
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 1 for calling the GaussianNoiseLayerTestCase obj's underlying member method code with example usage: obj.test_gaussian_noise_layer() without return types