code: def get_absolute_path(paths):
      # String check should be first as Sequence would pass for string too
      if isinstance(paths, str):
          # If path is absolute return it directly
          if os.path.isabs(paths):
              return paths
  
          possible_paths = [
              # Direct path
              paths
          ]
          # Now, try relative to user_dir if it exists
          from mmf.utils.configuration import get_mmf_env
  
          mmf_root = get_mmf_root()
          user_dir = get_mmf_env(key="user_dir")
          if user_dir:
              possible_paths.append(os.path.join(user_dir, paths))
              # check in relative to mmf relative user dir
              possible_paths.append(
                  os.path.join(mmf_root, "..", user_dir, paths)
              )
  
          # Relative to root folder of mmf install
          possible_paths.append(os.path.join(mmf_root, "..", paths))
          # Relative to mmf root
          possible_paths.append(os.path.join(mmf_root, paths))
  
          # Test all these paths, if any exists return
          for path in possible_paths:
              if PathManager.exists(path):
                  # URIs
                  if path.find("://") == -1:
                      return os.path.abspath(path)
                  else:
                      return path
  
          # If nothing works, return original path so that it throws an error
          return paths
      elif isinstance(paths, collections.abc.Iterable):
          return [get_absolute_path(path) for path in paths]
      else:
          raise TypeError(
              "Paths passed to dataset should either be "
              "string or list"
          )
  
imports: import collections
  import gc
  import logging
  import math
  import os
  import sys
  import time
  import warnings
  from bisect import bisect
  from typing import Any, Callable, Dict
  import torch
  from mmf.utils.distributed import get_rank, get_world_size, is_xla
  from mmf.utils.file_io import PathManager
  from packaging import version
  from torch import nn, Tensor
label_desc: Use image node_id 6 for calling a global function with example usage: get_absolute_path(paths) and returns: paths, paths, unknown, os, path