class_docstr: Tests the default trainer on single device setup.
class_docstr_tok: ["Tests","the","default","trainer","on","single","device","setup","."]
code: def tearDown(self):
      shutil.rmtree(self.test_dir)
      super(ViViTClassificationTrainerTest, self).tearDown()
  
imports: import functools
  import shutil
  import os
  from absl.testing import absltest
  from absl.testing import parameterized
  import flax
  from flax import jax_utils
  import flax.linen
  import jax.numpy
  import jax.random
  import ml_collections
  import numpy
  from scenic.model_lib.base_models import classification_model
  from scenic.model_lib.base_models import multilabel_classification_model
  from scenic.projects.vivit import evaluation_lib
  from scenic.projects.vivit import train_utils
  from scenic.train_lib_deprecated import optimizers
  from scenic.train_lib_deprecated import train_utils
  import tensorflow
label_desc: Use image node_id 2 for calling the ViViTClassificationTrainerTest obj's underlying member method code with example usage: obj.tearDown() without return types