Skip to main content

Multilinear algebra package supporting basic operations on dense and sparse tensors

Project description

https://img.shields.io/pypi/status/tensorcore.svg https://badge.fury.io/py/tensorcore.svg https://img.shields.io/pypi/pyversions/tensorcore.svg https://img.shields.io/pypi/l/tensorcore.svg

tensorcore

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

Installation

Using PyPI:

pip install tensorcore

Latest from the source:

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).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
tensorcore-0.2.3.tar.gz (22.2 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page