code: def test_gaussian_dropout_correctness(self):
      inputs = np.ones((20, 500))
      layer = layers.GaussianDropout(0.3, seed=1337)
      outputs = layer(inputs, training=True)
      self.assertAllClose(
          np.std(backend.convert_to_numpy(outputs)),
          np.sqrt(0.3 / (1 - 0.3)),
          atol=0.02,
      )
  
file_path: keras/keras/layers/regularization/gaussian_dropout_test.py
imports: import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import testing
label_desc: Use image node_id 2 for calling the GaussianDropoutTest obj's underlying member method code with example usage: obj.test_gaussian_dropout_correctness() without return types