code: def scaled_tanh(
      x: np.ndarray,
      /,
      *,
      alpha: float = 1.7159,
      beta: float = 0.67,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      return alpha * np.tanh(beta * x)
  
file_path: ivy/ivy/functional/backends/numpy/experimental/activations.py
imports: from typing import Optional, Union, Literal
  import numpy
  import ivy
  from ivy.functional.backends.numpy.helpers import _scalar_output_to_0d_array
  from ivy.func_wrapper import with_unsupported_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