code: def to_tf_instance(base: layers.BatchnormActivationDropout):
      return BatchnormActivationDropout(
          batchnorm=base.batchnorm,
          activation_function=base.activation_function,
          dropout_rate=base.dropout_rate,
      )
  
imports: import math
  from types import FunctionType
  import tensorflow
  from rl_coach.architectures import layers
  from rl_coach.architectures.tensorflow_components import utils
label_desc: Use image node_id 3 for calling the BatchnormActivationDropout obj's underlying member method code with example usage: obj.to_tf_instance(base) and returns: BatchnormActivationDropout