code: def test_should_run_pytorch_and_yolo_and_mvit(self):
      execute_query_fetch_all(self.evadb, Mvit_function_query)
  
      select_query = """SELECT FIRST(id),
                              Yolo(FIRST(data)),
                              MVITActionRecognition(SEGMENT(data))
                              FROM Actions
                              WHERE id < 32
                              GROUP BY '16 frames'; """
      actual_batch = execute_query_fetch_all(self.evadb, select_query)
      self.assertEqual(len(actual_batch), 2)
  
      res = actual_batch.frames
      for idx in res.index:
          self.assertTrue(
              "person" in res["yolo.labels"][idx]
              and "yoga" in res["mvitactionrecognition.labels"][idx]
          )
  
imports: import os
  import unittest
  from test.markers import gpu_skip_marker, ocr_skip_marker, ray_skip_marker, windows_skip_marker
  from test.util import create_sample_video, file_remove, get_evadb_for_testing, load_functions_for_testing, shutdown_ray
  import numpy
  import pandas.testing
  import pytest
  from evadb.configuration.constants import EvaDB_ROOT_DIR
  from evadb.executor.executor_utils import ExecutorError
  from evadb.functions.function_bootstrap_queries import Asl_function_query, Mvit_function_query
  from evadb.models.storage.batch import Batch
  from evadb.server.command_handler import execute_query_fetch_all
  from evadb.utils.generic_utils import try_to_import_cv2
label_desc: Use image node_id 10 for calling the PytorchTest obj's underlying member method code with example usage: obj.test_should_run_pytorch_and_yolo_and_mvit() without return types