class_docstr: Exposes a numpy API for saved_model policies in Eager mode.
class_docstr_tok: ["Exposes","a","numpy","API","for","saved_model","policies","in","Eager","mode","."]
docstr: Returns the metadata of the saved model.
docstr_tok: ["Returns","the","metadata","of","the","saved","model","."]
code: def get_metadata(self):
      """Returns the metadata of the saved model."""
      return self._policy.get_metadata()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from typing import Optional, Text
  from absl import logging
  import gin
  import tensorflow
  from tf_agents.policies import policy_saver
  from tf_agents.policies import py_policy
  from tf_agents.policies import tf_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
  from tf_agents.utils import common
  from tf_agents.utils import nest_utils
label_desc: Use image node_id 4 for calling the SavedModelPyTFEagerPolicy obj's underlying member method code with example usage: obj.get_metadata() and returns: self