code: def soft_sign(x: ArrayLike) -> Array:
      r"""Soft-sign activation function.
  
      Computes the element-wise function
  
      .. math::
        \mathrm{soft\_sign}(x) = \frac{x}{|x| + 1}
  
      Args:
        x : input array
      """
      numpy_util.check_arraylike("soft_sign", x)
      x_arr = jnp.asarray(x)
      return x_arr / (jnp.abs(x_arr) + 1)
  
imports: from __future__ import annotations
  from functools import partial
  import operator
  import numpy
  from typing import Any
  import jax
  import jax.numpy
  from jax import custom_jvp
  from jax import lax
  from jax._src import config
  from jax._src import core
  from jax._src import dtypes
  from jax._src import util
  from jax._src.core import AxisName
  from jax._src.numpy import util
  from jax._src.typing import Array, ArrayLike
  from jax._src.ops.special import logsumexp
label_desc: Use image node_id 4 for calling a global function with example usage: soft_sign(x) and returns: unknown