code: def elu(x, alpha=1.0):
      res = tf.nn.elu(x)
      if alpha == 1:
          return res
      else:
          return tf.where(x > 0, res, alpha * res)
  
imports: import warnings
  import tensorflow
  from keras.backend import standardize_data_format
  from keras.backend import standardize_dtype
  from keras.backend.common.backend_utils import compute_conv_transpose_output_shape
  from keras.backend.config import epsilon
  from keras.backend.tensorflow.core import cast
  from keras.backend.tensorflow.core import convert_to_tensor
label_desc: Use image node_id 12 for calling a global function with example usage: elu(x, alpha) and returns: res, tf