code: def test_element_spec_shape_with_ragged_tensors(self, batch_size):
      df = pd.DataFrame(
          {
              "spam": [np.zeros([32, 32, 3]), np.zeros([64, 64, 3])],
              "ham": [0, 0],
          }
      )
      ds = ray.data.from_pandas(df)
  
      dataset = ds.to_tf(
          feature_columns="spam",
          label_columns="ham",
          batch_size=batch_size,
      )
  
      feature_spec, _ = dataset.element_spec
      assert tuple(feature_spec.shape) == (None, None, None, None)
  
      features, labels = next(iter(dataset))
      assert tuple(features.shape) == (batch_size, None, None, None)
      assert tuple(labels.shape) == (batch_size,)
  
file_path: ray/python/ray/data/tests/test_tf.py
imports: import numpy
  import pandas
  import pytest
  import tensorflow
  import ray
  from ray import train
  from ray.data.preprocessors import Concatenator
  from ray.train import ScalingConfig
  from ray.train.tensorflow import TensorflowTrainer
label_desc: Use image node_id 8 for calling the TestToTF obj's underlying member method code with example usage: obj.test_element_spec_shape_with_ragged_tensors(batch_size) without return types