mkl_umath._ufuncs exposes Intel(R) Math Kernel Library
powered version of loops used in the patched version of NumPy, that used to be included in
Intel(R) Distribution for Python*.
Patches were factored out per community feedback (NEP-36).
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 --i https://software.repos.intel.com/python/pypi -extra-index-url https://pypi.org/simple mkl_umath
If command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Intel Pypi Cloud:
python -m pip install --i https://software.repos.intel.com/python/pypi -extra-index-url https://pypi.org/simple mkl_umath numpy==<numpy_version>
Where <numpy_version> should be the latest version from https://software.repos.intel.com/python/conda/
Intel(R) C compiler and Intel(R) Math Kernel Library are required to build mkl_umath from source:
# 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 .