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","."]
code: def from_config(cls, config, custom_objects=None):
      if "dropout_fn" in config:
          config = config.copy()
          dropout_state_filter = _parse_config_to_function(
              config,
              custom_objects,
              "dropout_fn",
              "dropout_fn_type",
              "dropout_fn_module",
          )
          config.pop("dropout_fn")
          config["dropout_state_filter_visitor"] = dropout_state_filter
      return super(DropoutWrapperBase, cls).from_config(
          config, custom_objects=custom_objects
      )
  
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 12 for calling the DropoutWrapperBase obj's underlying member method code with example usage: obj.from_config(cls, config, custom_objects) and returns: super