class_docstr: Here we also overwrite some of the tests of test_modeling_common.py, as VideoMAE does not use input_ids, inputs_embeds,
  attention_mask and seq_length.
code: def setUp(self):
      self.model_tester = VideoMAEModelTester(self)
      self.config_tester = ConfigTester(
          self,
          config_class=VideoMAEConfig,
          has_text_modality=False,
          hidden_size=37,
      )
  
imports: import copy
  import inspect
  import unittest
  import numpy
  from huggingface_hub import hf_hub_download
  from transformers import VideoMAEConfig
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, require_vision, slow, torch_device
  from transformers.utils import cached_property, is_torch_available, is_vision_available
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 1 for calling the VideoMAEModelTest obj's underlying member method code with example usage: obj.setUp() without return types