Awesome
<img align="left" src="https://spec.oneapi.io/oneapi-logo-white-scaled.jpg" alt="oneAPI logo" width="75"/>DPNP - Data Parallel Extension for NumPy*
Data Parallel Extension for NumPy* or dpnp
is a Python library that
implements a subset of NumPy* that can be executed on any data parallel device.
The subset is a drop-in replacement of core NumPy* functions and numerical data types.
Dpnp
is the core part of a larger family of data-parallel Python libraries and tools
to program on XPUs.
Installing
You can install the library using conda
, mamba
or pip
package managers. It is also available as part of the Intel(R) Distribution for Python
(IDP).
Intel(R) Distribution for Python
You can find the most recent release of dpnp
every quarter as part of the IDP
releases.
To get the library from the latest release, follow the instructions from Get Started With IntelĀ® Distribution for Python.
Conda
To install dpnp
from the Intel(R) conda channel, use the following command:
conda install dpnp -c https://software.repos.intel.com/python/conda/ -c conda-forge
Pip
The dpnp
can be installed using pip
obtaining wheel packages either from
PyPi or from Intel(R) channel. To install dpnp
wheel package from Intel(R)
channel, run the following command:
python -m pip install --index-url https://software.repos.intel.com/python/pypi dpnp
Installing the bleeding edge
To try out the latest features, install dpnp
using our development channel on
Anaconda cloud:
conda install dpnp -c dppy/label/dev -c https://software.repos.intel.com/python/conda/ -c conda-forge
Building
Refer to our Documentation
for more information on setting up a development environment and building dpnp
from the source.
Running Tests
Tests are located in folder dpnp/tests.
To run the tests, use:
python -m pytest --pyargs dpnp