class_docstr: Base class for networks which generate Distributions as their output.
class_docstr_tok: ["Base","class","for","networks","which","generate","Distributions","as","their","output","."]
code: def output_spec(self):
      return self._output_spec
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import typing
  import six
  import tensorflow
  import tensorflow_probability
  from tf_agents.distributions import utils
  from tf_agents.networks import layer_utils
  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
  from tf_agents.utils import object_identity
  from tensorflow.python.trackable import base
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 2 for calling the DistributionNetwork obj's underlying member method code with example usage: obj.output_spec() and returns: self