code: def test_predict_ds(self):
      expected_shape = [4, _PREDICT_TARGET_LENGTH]  # 2 devices.
      for batch in self.predict_ds.take(3):
          self.assertEqual(
              {k: v.shape.as_list() for k, v in batch.items()},
              {
                  "inputs": expected_shape,
                  "targets": expected_shape,
              },
          )
  
file_path: flax/flax/experimental/nnx/examples/lm1b/input_pipeline_test.py
imports: import os
  import pathlib
  import tempfile
  import input_pipeline
  import tensorflow_datasets
  from absl.testing import absltest
  from configs import default
label_desc: Use image node_id 5 for calling the InputPipelineTest obj's underlying member method code with example usage: obj.test_predict_ds() without return types