Caffe is a deep learning framework developed at the University of California Berkeley by Yangqing Jia.
Singularity containers for Caffe are available for use on Bridges in directory /pylon5/containers/ngc/caffe. Multiple containers are available, for different versions of python and supporting software. These containers can be used on the Volta or P100 GPU nodes. See Singularity images on Bridges for more information on the available containers.
- Caffe web site
- Please use the following citation if Caffe is helpful in your research.
Jia Y, Shelhamer E., Donahue J., Karayev S., Long J., Girshick R., Guadarrama S., Darrell T. 2014. Caffe: Convolutional Architecture for Fast Feature Embedding. In Proceedings of the 22nd ACM International conference on Multimedia (Orlando, Florida, USA, November 03 – 07, 2014). https://doi.org/10.1145/2647868.2654889
To see what versions of Caffe are available type
module avail caffe
To see what other modules are needed, what commands are available and how to get additional help type
module help caffe
To use Caffe, include a command like this in your batch script or interactive session to load the caffe module:
module load caffe
Be sure you also load any other modules needed, as listed by the
module help caffe command.