semvec/pypi-packages huggingface dataset:
tensorcore 0.2.3
Multilinear algebra package supporting basic operations on dense and sparse tensors
License: MIT

.. image:: https://img.shields.io/pypi/status/tensorcore.svg
    :target: https://gitlab.com/cmick/tensorcore

.. image:: https://badge.fury.io/py/tensorcore.svg
    :target: https://badge.fury.io/py/tensorcore

.. image:: https://img.shields.io/pypi/pyversions/tensorcore.svg
   :target: https://pypi.python.org/pypi/tensorcore

.. image:: https://img.shields.io/pypi/l/tensorcore.svg
   :target: https://gitlab.com/cmick/tensorcore/blob/master/LICENSE

tensorcore
==========

tensorcore is a Python package for multilinear algebra supporting basic
operations on dense and sparse tensors.

Installation
------------

Using `PyPI <https://pypi.python.org/pypi/tensorcore>`_::

    pip install tensorcore

Latest from the `source <https://gitlab.com/cmick/tensorcore>`_::

    git clone https://gitlab.com/cmick/tensorcore.git
    cd tensorcore
    python setup.py install

Dependencies
~~~~~~~~~~~~

tensorcore requires:

- Python (>= 3.4)
- NumPy (>= 1.10.0)
- SciPy (>= 0.14.0)
- scikit-learn (>= 0.16.0)

Usage
-----

Optimization
~~~~~~~~~~~~

To optimize the generated bytecode slightly run the library using python `-o`
or `-oo` flags. As a result, the `assert` statements will be omitted (mainly
parameter value and type checking).