code: def test_empty_input_dynamic(self):
      # Tests that the encoding works when the input shape is [0], but not
      # statically known.
      y = tf.zeros((10,))
      indices = tf.compat.v2.where(tf.abs(y) > 1e-8)
      x = tf.gather_nd(y, indices)
      x = tf.cast(x, tf.int32)  # Empty tensor.
      assert x.shape.as_list() == [None]
      stage = self.default_encoding_stage()
      encode_params, decode_params = stage.get_params()
      encoded_x, decoded_x = self.encode_decode_x(
          stage, x, encode_params, decode_params
      )
  
      test_data = self.evaluate_test_data(
          test_utils.TestData(x, encoded_x, decoded_x)
      )
      assert test_data.x.shape == (0,)
      assert test_data.encoded_x[stage.ENCODED_VALUES_KEY].shape == (0,)
      assert test_data.decoded_x.shape == (0,)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages.research import misc
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 7 for calling the DifferenceBetweenIntegersEncodingStageTest obj's underlying member method code with example usage: obj.test_empty_input_dynamic() without return types