code: def celu(
      x: Tensor,
      /,
      *,
      alpha: float = 1.0,
      complex_mode="jax",
      out: Optional[Tensor] = None,
  ) -> Tensor:
      return tf.math.maximum(0, x) + alpha * tf.math.expm1(
          tf.math.minimum(0, x) / alpha
      )
  
file_path: ivy/ivy/functional/backends/tensorflow/experimental/activations.py
imports: from typing import Optional, Union, Literal
  import tensorflow
  from tensorflow.python.types.core import Tensor
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from .None import backend_version
label_desc: Use image node_id 12 for calling a global function with example usage: celu() and returns: unknown