code: def test_lm_forward(self):
      config, input_ids, batch_size = self._get_config_and_data()
      lm_model = FlaxBlenderbotForConditionalGeneration(config)
      outputs = lm_model(input_ids=input_ids)
      expected_shape = (
          batch_size,
          input_ids.shape[1],
          config.vocab_size,
      )
      self.assertEqual(outputs["logits"].shape, expected_shape)
  
imports: import unittest
  import numpy
  import timeout_decorator
  from transformers import BlenderbotConfig, is_flax_available
  from transformers.testing_utils import jax_device, require_flax, slow
  from ...generation.test_generation_flax_utils import FlaxGenerationTesterMixin
  from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor
label_desc: Use image node_id 2 for calling the BlenderbotHeadTests obj's underlying member method code with example usage: obj.test_lm_forward() without return types