code: def scaled_tanh(
      x: Tensor,
      /,
      *,
      alpha: float = 1.7159,
      beta: float = 0.67,
      out: Optional[Tensor] = None,
  ) -> Tensor:
      return alpha * tf.nn.tanh(beta * x)
  
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 13 for calling a global function with example usage: scaled_tanh() and returns: unknown