User Guide: Basic: change 'device agnostic' back to 'CPU/GPU agnostic'
@@ -185,14 +185,14 @@ Check :doc:`./memory` for a detailed description of how memory is managed in CuP
using memory pools.
-How to write device agnostic code
+How to write CPU/GPU agnostic code
----------------------------------
-CuPy's compatibility with NumPy makes it possible to write device agnostic code.
+CuPy's compatibility with NumPy makes it possible to write CPU/GPU agnostic code.
For this purpose, CuPy implements the :func:`cupy.get_array_module` function that
returns a reference to :mod:`cupy` if any of its arguments resides on a GPU
and :mod:`numpy` otherwise.
-Here is an example of a device agnostic function that computes ``log1p``:
+Here is an example of a CPU/GPU agnostic function that computes ``log1p``:
.. doctest::
