code: def test_drop_block_during_inference(self):
      test_input = np.ones((1, 20, 20, 1))
      dropblock_layer = layers.DropBlock(keep_proba=0.9, block_size=5)
      actual_output = dropblock_layer.output(test_input, training=False)
  
      self.assertIs(test_input, actual_output)
      self.assertEqual(dropblock_layer.block_size, (5, 5))
  
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 DropBlockTestCase obj's underlying member method code with example usage: obj.test_drop_block_during_inference() without return types