code: def elu(x, alpha=1.0):
      x = convert_to_tensor(x)
      return np.where(
          x >= np.array(0.0, x.dtype),
          x,
          np.array(alpha, x.dtype) * np.expm1(x),
      )
  
imports: import jax
  import numpy
  from jax import lax
  from jax import numpy
  from keras.backend import standardize_data_format
  from keras.backend import standardize_dtype
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_jax
  from keras.backend.config import epsilon
  from keras.backend.numpy.core import cast
  from keras.backend.numpy.core import convert_to_tensor
  from keras.backend.numpy.core import is_tensor
  from keras.utils.module_utils import scipy
label_desc: Use image node_id 12 for calling a global function with example usage: elu(x, alpha) and returns: np