NumPy-CuPy Generic Code Support


Returns the array module for arguments.

This function is used to implement CPU/GPU generic code. If at least one of the arguments is a cupy.ndarray object, the cupy module is returned.

Parameters:args – Values to determine whether NumPy or CuPy should be used.
Returns:cupy or numpy is returned based on the types of the arguments.
Return type:module


A NumPy/CuPy generic function can be written as follows

>>> def softplus(x):
...     xp = cupy.get_array_module(x)
...     return xp.maximum(0, x) + xp.log1p(xp.exp(-abs(x)))