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# scipy.special.exp2

scipy.special.exp2(x, out=None) = <ufunc 'exp2'>

  Compute `2**x` element-wise.

  Parameters:
    x array_like

      x must contain real numbers.

    out ndarray, optional

      Optional output array for the function values

  Returns:
    scalar or ndarray

      `2**x`, computed element-wise.

  Notes

  Array API Standard Support

  `exp2` has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable `SCIPY_ARRAY_API=1` and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

  Library | CPU | GPU
  --- | --- | ---
  NumPy | ✅ | n/a
  CuPy | n/a | ✅
  PyTorch | ✅ | ⛔
  JAX | ⚠️ no JIT | ⛔
  Dask | ✅ | n/a

  > See Support for the array API standard for more information.

  Examples

      >>> import numpy as np
      >>> from scipy.special import exp2

      >>> exp2(3)
      8.0
      >>> x = np.array([[-1, -0.5, 0], [0.5, 1, 1.5]])
      >>> exp2(x)
      array([[ 0.5       ,  0.70710678,  1.        ],
             [ 1.41421356,  2.        ,  2.82842712]])