commit | 47c70a43b4821fe0848345a3f6abf2c197669f30 | [log] [tgz] |
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author | Yangqing Jia <jiayq84@gmail.com> | Fri Jul 17 11:24:46 2015 -0700 |
committer | Yangqing Jia <jiayq84@gmail.com> | Sat Jul 18 07:23:09 2015 -0700 |
tree | 75c9379969402bebd57efcda1f5c1c10d54b689c | |
parent | c5166e578c90db43c2d479446673efbd3e99b01e [diff] |
(1) minidb bugfix (2) blob serialization comments (3) cudnn: putting it under a separate device name so we can explicitly choose cudnn instead of having CUDA device prioritizing it. (4) note that mint is not available with ipython due to zeromq conflict (5) db_throughput utility (6) added gprofiler
Caffe2 is a deep learning framework made with expression, speed, and modularity in mind. It is an experimental refactoring of Caffe, and allows a more flexible way to organize computation.
Caffe2 is released under the BSD 2-Clause license.