caffe

Data Mining

Software Description

1

Info

Module Name

caffe

Last Updated On

08/29/2023

Support Level

Secondary Support

Software Access Level

Open Access

Home Page

http://caffe.berkeleyvision.org

Documentation

Software Description

From the Caffe website: Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ( BAIR ) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license .

General Linux

Caffe has been compiled at MSI for GPU calculations, so the latest versions are available on Mesabi\'s k40 queue . The software can be loaded for use in an interactive Linux environment via:

module load caffe

In order to use Caffe\'s Python bindings with the 1.0 version, you must additionally run the following command to activate the Python environment:

source activate caffe1.0_lite

Agate Modules

Default

1.0

Other Modules

1.0, 1.0-cpu, nvidia-08112017, rc3_20160425_cuda7.0, rc4_20170117_cuda7.0, testing.1.0, 0.999_cuda_6.5

Mangi Modules

Default

0.999_cuda_6.5

Other Modules

0.999_cuda_6.5

Mesabi Modules

Default

1.0

Other Modules

1.0, 1.0-cpu, nvidia-08112017, rc3_20160425_cuda7.0, rc4_20170117_cuda7.0, testing.1.0, 0.999_cuda_6.5