class_docstr: An interface between the Scenic DETR implementation and COCO evaluators.
class_docstr_tok: ["An","interface","between","the","Scenic","DETR","implementation","and","COCO","evaluators","."]
docstr: Clears predictions/labels for previous run.
docstr_tok: ["Clears","predictions\/labels","for","previous","run","."]
code: def clear(self):
      """Clears predictions/labels for previous run."""
      self._num_examples_added = collections.defaultdict(int)
      self._preds.clear()
      self._labels.clear()
  
imports: import collections
  import copy
  import functools
  from typing import Any, Dict, Mapping, Optional, Sequence, Tuple, Union
  from absl import logging
  import flax
  import flax.linen
  import jax
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.common_lib import debug_utils
  from scenic.train_lib_deprecated import optimizers
  from scenic.train_lib_deprecated import train_utils
label_desc: Use image node_id 5 for calling the LayoutDenoiseGlobalEvaluator obj's underlying member method code with example usage: obj.clear() without return types