code: def test_from_task(self):
      config = get_test_task_config()
      task = build_task(config)
      hub_interface = ClassyHubInterface.from_task(task)
  
      self.assertIsInstance(hub_interface.task, ClassyTask)
      self.assertIsInstance(hub_interface.model, ClassyModel)
  
      # this will pick up the transform from the task's config
      self._test_predict_and_extract_features(hub_interface)
  
      # test that the correct transform is picked up
      phase_type = "test"
      test_transform = TestTransform()
      task.datasets[phase_type].transform = test_transform
      hub_interface = ClassyHubInterface.from_task(task)
      dataset = hub_interface.create_image_dataset(
          image_files=[self.image_path], phase_type=phase_type
      )
      self.assertIsInstance(dataset.transform, TestTransform)
  
imports: import shutil
  import tempfile
  import unittest
  import torch
  from classy_vision.dataset.transforms import ClassyTransform
  from classy_vision.hub import ClassyHubInterface
  from classy_vision.models import build_model, ClassyModel
  from classy_vision.tasks import build_task, ClassyTask
  from test.generic.config_utils import get_test_task_config
  from torchvision import models, transforms
label_desc: Use image node_id 6 for calling the TestClassyHubInterface obj's underlying member method code with example usage: obj.test_from_task() without return types