class_docstr: TensorNormalizer with exponential moving avg. mean and var estimates.
docstr: Returns EMANormalizer's current estimates for mean & variance.
docstr_tok: ["Returns","EMANormalizer","'s","current","estimates","for","mean","&","variance","."]
code: def _get_mean_var_estimates(self):
      """Returns EMANormalizer's current estimates for mean & variance."""
      return self._mean_moving_avg, self._var_moving_avg
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Tuple
  import six
  import tensorflow
  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 5 for calling the EMATensorNormalizer obj's underlying member method code with example usage: obj._get_mean_var_estimates() and returns: self,  self