class_docstr: Describes a tfp.distribution.Distribution using nested parameters.
class_docstr_tok: ["Describes","a","tfp.distribution.Distribution","using","nested","parameters","."]
code: def dtype(self) -> tf.DType:
      return self._dtype
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import inspect
  from typing import Any, Mapping, Text, Type
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.distributions import tanh_bijector_stable
  from tf_agents.specs import tensor_spec
  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 3 for calling the DistributionSpecV2 obj's underlying member method code with example usage: obj.dtype() and returns: self