text: import tensorflow as tf
  
  from onnx_tf.handlers.backend_handler import BackendHandler
  from onnx_tf.handlers.handler import onnx_op
  from onnx_tf.handlers.handler import tf_func
  
  
  @onnx_op("Selu")
  @tf_func(tf.nn.selu)
  class Selu(BackendHandler):
  
    @classmethod
    def _common(cls, node, **kwargs):
      tensor_dict = kwargs["tensor_dict"]
      if "alpha" not in node.attrs and "gamma" not in node.attrs:
        return [cls.make_tensor_from_onnx_node(node, **kwargs)]
  
      x = tensor_dict[node.inputs[0]]
      alpha = node.attrs.get("alpha", 1.67326319217681884765625)
      gamma = node.attrs.get("gamma", 1.05070102214813232421875)
  
      return [
          tf.clip_by_value(x, 0, tf.reduce_max(x)) * gamma +
          (tf.exp(tf.clip_by_value(x, tf.reduce_min(x), 0)) - 1) * alpha * gamma
      ]
  
    @classmethod
    def version_1(cls, node, **kwargs):
      return cls._common(node, **kwargs)
  
    @classmethod
    def version_6(cls, node, **kwargs):
      return cls._common(node, **kwargs)
  