code: def test_mtv_classification_model(self):
      rng = random.PRNGKey(0)
      mtv = model.MTVClassificationModel(
          config=None,
          dataset_meta_data={
              "num_classes": 10,
              "target_is_onehot": False,
          },
      )
      num_frames = 8  # matches with the default config.
      inputs = jnp.ones((2, num_frames, 8, 8, 3))
      rng, init_rng = random.split(rng)
      init_model_state, init_params = flax.core.pop(
          mtv.flax_model.init(init_rng, inputs, train=False), "params"
      )
  
      # Check that the forward pass works with mutated model_state.
      rng, dropout_rng = random.split(rng)
      variables = {"params": init_params, **init_model_state}
      outputs = mtv.flax_model.apply(
          variables, inputs, train=True, rngs={"dropout": dropout_rng}
      )
      self.assertEqual(outputs.shape, (2, 10))
  
imports: from absl.testing import parameterized
  import flax
  from jax import random
  import jax.numpy
  import ml_collections
  from scenic.projects.mtv import model
  import tensorflow
label_desc: Use image node_id 11 for calling the ModelTest obj's underlying member method code with example usage: obj.test_mtv_classification_model() without return types