class_docstr: Operator adding dropout to inputs and outputs of the given cell.
class_docstr_tok: ["Operator","adding","dropout","to","inputs","and","outputs","of","the","given","cell","."]
docstr: Returns the config of the dropout wrapper.
docstr_tok: ["Returns","the","config","of","the","dropout","wrapper","."]
code: def get_config(self):
      """Returns the config of the dropout wrapper."""
      config = {
          "input_keep_prob": self._input_keep_prob,
          "output_keep_prob": self._output_keep_prob,
          "state_keep_prob": self._state_keep_prob,
          "variational_recurrent": self._variational_recurrent,
          "input_size": self._input_size,
          "seed": self._seed,
      }
      if (
          self._dropout_state_filter
          != _default_dropout_state_filter_visitor
      ):
          (
              function,
              function_type,
              function_module,
          ) = _serialize_function_to_config(self._dropout_state_filter)
          config.update(
              {
                  "dropout_fn": function,
                  "dropout_fn_type": function_type,
                  "dropout_fn_module": function_module,
              }
          )
      base_config = super(DropoutWrapperBase, self).get_config()
      return dict(list(base_config.items()) + list(config.items()))
  
imports: import hashlib
  import numbers
  import sys
  import types
  import warnings
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 11 for calling the DropoutWrapperBase obj's underlying member method code with example usage: obj.get_config() and returns: dict