code: def testBijectorIsDeterministicGivenSeed(self):
      width = 2
  
      x = samplers.uniform(
          (width,),
          minval=-1.0,
          maxval=1.0,
          seed=test_util.test_seed(sampler_type="stateless"),
      )
  
      seed = test_util.test_seed(sampler_type="stateless")
      bijector1 = highway_flow.build_trainable_highway_flow(
          width, activation_fn=tf.nn.softplus, seed=seed
      )
      bijector2 = highway_flow.build_trainable_highway_flow(
          width, activation_fn=tf.nn.softplus, seed=seed
      )
      self.evaluate(
          [v.initializer for v in bijector1.trainable_variables]
      )
      self.evaluate(
          [v.initializer for v in bijector2.trainable_variables]
      )
      self.assertAllClose(bijector1.forward(x), bijector2.forward(x))
  
file_path: probability/tensorflow_probability/python/experimental/bijectors/highway_flow_test.py
imports: from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.experimental.bijectors import highway_flow
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 6 for calling the HighwayFlowTests obj's underlying member method code with example usage: obj.testBijectorIsDeterministicGivenSeed() without return types