[](https://github.com/IntelPython/mkl_umath/actions/workflows/conda-package.yml)
[](https://securityscorecards.dev/viewer/?uri=github.com/IntelPython/mkl_umath)
# `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 .
```
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