code: def test_compression_works_in_tf_function(self):
      samples = tf.random.stateless_normal([100], (34, 232))
  
      # Since tf.function traces each function twice, and only allows variable
      # creation in the first call, we need to have a stateful object in which we
      # create the entropy model only the first time the function is called, and
      # store it for the second time.
  
      class Compressor:
          def compress(self, values):
              if not hasattr(self, "em"):
                  self.em = LaplaceEntropyModel(coding_rank=1)
              compressed = self.em.compress(values)
              return self.em.decompress(compressed, [100])
  
      values_eager = Compressor().compress(samples)
      values_function = tf.function(Compressor().compress)(samples)
      self.assertAllClose(samples, values_eager, rtol=0.0, atol=0.5)
      self.assertAllEqual(values_eager, values_function)
  
file_path: compression/tensorflow_compression/python/entropy_models/laplace_test.py
imports: import numpy
  import tensorflow
  from tensorflow_compression.python.entropy_models.laplace import LaplaceEntropyModel
label_desc: Use image node_id 8 for calling the LaplaceEntropyModelTest obj's underlying member method code with example usage: obj.test_compression_works_in_tf_function() and returns: self