https://github.com/intelpython/mkl_umath

Package implementing NumPy's UFuncs based on SVML and MKL VML
https://github.com/intelpython/mkl_umath

mkl numpy python

Last synced: about 1 month ago
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Package implementing NumPy's UFuncs based on SVML and MKL VML

• Host: GitHub
• URL: https://github.com/intelpython/mkl_umath
• Owner: IntelPython
• License: bsd-3-clause
• Created: 2021-03-24T16:28:52.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-09T14:06:58.000Z (about 1 month ago)
• Last Synced: 2024-10-11T00:22:13.120Z (about 1 month ago)
• Topics: mkl, numpy, python
• Language: Python
• Size: 145 KB
• Stars: 2
• Watchers: 8
• Forks: 4
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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# `mkl_umath`

`mkl_umath._ufuncs` exposes [Intel(R) Math Kernel Library](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html)

powered version of loops used in the patched version of [NumPy](https://numpy.org), that used to be included in

[Intel(R) Distribution for Python*](https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html).

Patches were factored out per community feedback ([NEP-36](https://numpy.org/neps/nep-0036-fair-play.html)).

`mkl_umath` started as a part of Intel (R) Distribution for Python* optimizations to NumPy, and is now being released 

as a stand-alone package. It can be installed into conda environment using 

```

   conda install -c https://software.repos.intel.com/python/conda mkl_umath

```

---

To install mkl_umath Pypi package please use following command:

```

   python -m pip install mkl_umath

```

---

## Building

Intel(R) C compiler and Intel(R) Math Kernel Library are required to build `mkl_umath` from source:

```sh

# ensure that MKL is installed into Python prefix, Intel LLVM compiler is activated

export MKLROOT=$CONDA_PREFIX

CC=icx pip install --no-build-isolation --no-deps -e .

```