code: def mmf_indirect(path):
      if os.path.exists(path):
          return path
      else:
          path = os.path.join(
              os.getenv("MMF_DATA_DIR"), "datasets", path
          )
          return path
  
imports: import os
  import pickle
  import networkx
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from gensim.models import KeyedVectors
  from gensim.scripts.glove2word2vec import glove2word2vec
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.utils.text import VocabDict
  from networkx import convert_node_labels_to_integers
  from torch_geometric.nn import BatchNorm, GCNConv, RGCNConv, SAGEConv
  from tqdm import tqdm
label_desc: Use image node_id 5 for calling a global function with example usage: mmf_indirect(path) and returns: path, path