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.

Source Distribution

tensorcore-0.2.3.tar.gz (22.2 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page