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Additional documentation on dpnp #16

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samaid merged 1 commit into from
Nov 17, 2022
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Additional documentation on dpnp #16

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6 changes: 6 additions & 0 deletions docs/sources/programming_dpep.rst
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Expand Up @@ -37,6 +37,9 @@ to execute your `Numpy*`_ script on GPU usually requires changing just a few lin
:caption: Your first NumPy code running on GPU
:name: ex_01_hello_dpnp

.. command-output:: python ./01-hello_dpnp.py
:cwd: ../../examples

In this example ``np.asarray()`` creates an array on the default `SYCL*`_ device, which is ``"gpu"`` on systems
with integrated or discrete GPU (it is ``"cpu"`` on systems that do not have GPU).
The queue associated with this array is now carried with ``x``, and ``np.sum(x)`` will derive it from ``x``,
Expand All @@ -54,6 +57,9 @@ In the following example we create the array ``x`` on the GPU device, and perfor
:caption: Select device type while creating array
:name: ex_02_dpnp_device

.. command-output:: python ./02-dpnp_device.py
:cwd: ../../examples

Data Parallel Extension for Numba - numba-dpex
**********************************************

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5 changes: 3 additions & 2 deletions examples/02-dpnp_device.py
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Expand Up @@ -26,9 +26,10 @@

import dpnp as np

x = np.empty(3)
try:
x = np.asarray([1, 2, 3], device=”gpu”)
x = np.asarray([1, 2, 3], device="gpu")
except:
print(“GPU device is not available”)
print("GPU device is not available")

y = np.sum(x)