code: def resolve(obj):
      """Resolve `FieldReference`s in `obj`.
  
      We do not have a good way to resolve every `FieldReference` in `obj`. The
      function will raise a TypeError if it encounters something it cannot handle.
  
      Args:
        obj: The object to resolve.
  
      Returns:
        The resolved object.
      """
      if obj is None:
          return None
      elif isinstance(obj, (int, float, str, bool)):
          return obj
      elif isinstance(obj, ml_collections.FieldReference):
          return resolve(obj.get())
      elif isinstance(obj, ml_collections.ConfigDict):
          resolved = ml_collections.ConfigDict()
          for key, value in obj.items():
              resolved[key] = resolve(value)
          return resolved
      elif isinstance(obj, list):
          return [resolve(x) for x in obj]
      elif isinstance(obj, tuple):
          return tuple([resolve(x) for x in obj])
      else:
          raise TypeError(f"Cannot resolve type {type(obj)}")
  
file_path: scenic/scenic/projects/baselines/deformable_detr/main.py
imports: from typing import Any
  from absl import flags
  from clu import metric_writers
  import jax
  import jax.numpy
  import ml_collections
  from scenic import app
  from scenic.projects.baselines.deformable_detr import input_pipeline_detection
  from scenic.projects.baselines.deformable_detr import trainer
  from scenic.projects.baselines.deformable_detr.model import DeformableDETRModel
  from scenic.train_lib import train_utils
label_desc: Use image node_id 2 for calling a global function with example usage: resolve(obj) and returns: None, obj, resolve, resolved, unknown, tuple