code: def test_chunk(self):
      hidden_states = self._get_hidden_states()
      batch_size = 1
      seq_length = 8
      hidden_size = 4
      hidden_states = tf.reshape(
          hidden_states, (batch_size, seq_length, hidden_size)
      )
  
      chunked_hidden_states = TFLongformerSelfAttention._chunk(
          hidden_states, window_overlap=2
      )
  
      # expected slices across chunk and seq length dim
      expected_slice_along_seq_length = tf.convert_to_tensor(
          [0.4983, -0.7584, -1.6944], dtype=tf.float32
      )
      expected_slice_along_chunk = tf.convert_to_tensor(
          [0.4983, -1.8348, -0.7584, 2.0514], dtype=tf.float32
      )
  
      self.assertTrue(shape_list(chunked_hidden_states) == [1, 3, 4, 4])
      tf.debugging.assert_near(
          chunked_hidden_states[0, :, 0, 0],
          expected_slice_along_seq_length,
          rtol=1e-3,
          atol=1e-4,
      )
      tf.debugging.assert_near(
          chunked_hidden_states[0, 0, :, 0],
          expected_slice_along_chunk,
          rtol=1e-3,
          atol=1e-4,
      )
  
imports: import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow, tooslow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 5 for calling the TFLongformerModelIntegrationTest obj's underlying member method code with example usage: obj.test_chunk() without return types