code: def scaled_tanh(
      x: paddle.Tensor,
      /,
      *,
      alpha: float = 1.7159,
      beta: float = 0.67,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      return paddle.stanh(x, scale_a=beta, scale_b=alpha)
  
file_path: ivy/ivy/functional/backends/paddle/experimental/activations.py
imports: from typing import Optional, Union, Literal
  import paddle
  import paddle.nn.functional
  import ivy.functional.backends.paddle
  from ivy.func_wrapper import with_unsupported_device_and_dtypes, with_supported_dtypes, with_supported_device_and_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: paddle