code: def _data_for_test_decode_split(self, encoder, x):
      encode_params, decode_params = encoder.get_params(
          encoder.initial_state()
      )
      encoded_x, _, input_shapes = encoder.encode(x, encode_params)
      decoded_x_before_sum = encoder.decode_before_sum(
          encoded_x, decode_params, input_shapes
      )
      decoded_x_after_sum = encoder.decode_after_sum(
          decoded_x_before_sum, decode_params, 1, input_shapes
      )
      data = self.commutation_test_data(
          x, encoded_x, decoded_x_before_sum, decoded_x_after_sum
      )
      return self.evaluate(data)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import core_encoder
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.core import encoding_stage
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 2 for calling the EncoderTest obj's underlying member method code with example usage: obj._data_for_test_decode_split(encoder, x) and returns: self