code: def test_should_run_pytorch_and_resnet50(self):
      create_function_query = """CREATE FUNCTION IF NOT EXISTS FeatureExtractor
                    INPUT  (frame NDARRAY UINT8(3, ANYDIM, ANYDIM))
                    OUTPUT (features NDARRAY FLOAT32(ANYDIM))
                    TYPE  Classification
                    IMPL  'evadb/functions/feature_extractor.py';
          """
      execute_query_fetch_all(self.evadb, create_function_query)
  
      select_query = """SELECT FeatureExtractor(data) FROM MyVideo
                          WHERE id < 5;"""
      actual_batch = execute_query_fetch_all(self.evadb, select_query)
      self.assertEqual(len(actual_batch), 5)
  
      # non-trivial test case for Resnet50
      res = actual_batch.frames
      self.assertEqual(
          res["featureextractor.features"][0].shape, (1, 2048)
      )
  
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 14 for calling the PytorchTest obj's underlying member method code with example usage: obj.test_should_run_pytorch_and_resnet50() without return types