code: def _get_config(self, path):
      path = os.path.join(os.path.abspath(__file__), path)
      config = load_yaml(os.path.abspath(path))
      return config
  
imports: import os
  import tempfile
  import unittest
  import torch
  from mmf.datasets.processors.image_processors import VILTImageProcessor
  from mmf.datasets.processors.processors import CaptionProcessor, EvalAIAnswerProcessor, MultiClassFromFile, MultiHotAnswerFromVocabProcessor, Processor, TransformerBboxProcessor
  from mmf.datasets.processors.video_processors import VideoTransforms
  from mmf.utils.configuration import load_yaml
  from omegaconf import OmegaConf
  from tests.test_utils import compare_tensors, skip_if_no_pytorchvideo
label_desc: Use image node_id 1 for calling the TestDatasetProcessors obj's underlying member method code with example usage: obj._get_config(path) and returns: config