Skip to main content
Warning: You are using the test version of PyPI. This is a pre-production deployment of Warehouse. Changes made here affect the production instance of TestPyPI (testpypi.python.org).
Help us improve Python packaging - Donate today!

A package for help matrix multiplication

Project Description

This repository created for matrix multiplication.

The purpose is to prevent being out of memory on GPU.

Doing matrix multiplication is a massive calculation for CPU. However generally GPU rams are not enough. Sometimes it is not possible to place the two of the matrix on the GPU ram.

In this implementation you will find a Theano symbolic multiplication. This function will divide your big matrixes to smaller blocks in order to make possible the calculation on GPU.

Just call the method

result_sparse_matrix = calculate(sparse_matrix_1, sparse_matrix_2)

Implementation is using scipy lil and csr sparse matrix.

Install

pip install bigmultiplier

Release History

Release History

This version
History Node

0.1

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting