code: def __init__(self, config):
      super().__init__(config)
      self.config = config
      self._global_config = registry.get("config")
      self._datasets = self._global_config.datasets
      if isinstance(self._datasets, str):
          self._datasets = self._datasets.split(",")
  
imports: import copy
  from typing import Any, Dict, List, Optional, Tuple
  import omegaconf
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.embeddings import PreExtractedEmbedding, TextEmbedding, TwoBranchEmbedding
  from mmf.modules.layers import BranchCombineLayer, ClassifierLayer
  from mmf.utils.build import build_image_encoder
  from mmf.utils.general import filter_grads
  from omegaconf import DictConfig
label_desc: Use image node_id 1 to create a new MoVieMcan object from inherited base classes: BaseModel with example: obj = MoVieMcan(config)