code: def softsign(
      x: np.ndarray, /, out: Optional[np.ndarray] = None
  ) -> np.ndarray:
      return np.divide(x, 1 + np.abs(x), out=out).astype(x.dtype)
  
file_path: ivy/ivy/functional/backends/numpy/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
label_desc: Use image node_id 7 for calling a global function with example usage: softsign(out) and returns: np