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