docstr: Pass an input to the Dropout layer when
  training is false and test that the output
  is equal to the input.
docstr_tok: ["Pass","an","input","to","the","Dropout","layer","when","training","is","false","and","test","that","the","output","is","equal","to","the","input","."]
code: def test_on_dropout_inference(self):
      """
      Pass an input to the Dropout layer when
      training is false and test that the output
      is equal to the input.
      """
  
      drop_input = jn.array([[1.0, 2.0, 3.0, 4.0, 5.0]])
      dropout_layer = objax.nn.Dropout(0.5)
      training = False
      drop_output = dropout_layer(drop_input, training)
      self.assertTrue(jn.array_equal(drop_input, drop_output))
  
file_path: objax/tests/dropout.py
imports: import unittest
  import jax.numpy
  import objax
  from objax import random
label_desc: Use image node_id 5 for calling the TestDropout obj's underlying member method code with example usage: obj.test_on_dropout_inference() without return types