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 intel mkl_umath
To install mkl_umath Pypi package please use following command:
python -m pip install --i https://pypi.anaconda.org/intel/simple -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 Anaconda Cloud:
python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_umath numpy==<numpy_version>
Where <numpy_version> should be the latest version from https://anaconda.org/intel/numpy
Intel(R) C compiler and Intel(R) Math Kernel Library are required to build mkl_umath from source:
# ensure that MKL is installed, icc is activated
export MKLROOT=$CONDA_PREFIX
python setup.py config_cc --compiler=intelem build_ext --inplace