Caffe2 Release Notes

This document describes the key features, software enhancements and improvements, known issues, and how to run this container for the 18.08 and earlier releases. The Caffe2 framework is used primarily for detection, segmentation, and translation tasks in production for Facebook applications. The Caffe2 framework focuses on cross-platform deployment and performance. The Caffe2 and PyTorch frameworks have a lot of parallel features to them, which resulted in merging the two frameworks into a single package. However, for now, the Caffe2 container is released monthly to provide you with the latest NVIDIA deep learning software libraries and GitHub code contributions that have been sent upstream; which are all tested, tuned, and optimized.

To see a single view of the supported software and specific versions that come packaged with the frameworks based on the container image, see the Frameworks Support Matrix.