commit | 3125e6a821f00c402d6cd2b4beae9f9eb731ebee | [log] [tgz] |
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author | Dmytro Dzhulgakov <dzhulgakov@fb.com> | Thu Dec 01 13:53:23 2016 -0800 |
committer | Bram Wasti <bwasti@dev11999.prn1.facebook.com> | Mon Dec 05 11:53:26 2016 -0800 |
tree | 55cb5e39f40bb18b1e8a15c53c8be341da1a0fd7 | |
parent | ea9a0f24bfe1eb7c9e1108260a6bbf15d0dcbde4 [diff] |
Hacky fix for cloned model rewriting Summary: Disclaimer: this is really hacky Continues a fix from D4218902. The root problem is that DPER builds net incrementally and input_record doesn't support it properly. For not I just manipulate the input record directly. Alisson wants to fix it properly later by allowing set_input_record to accept a superset of current record. But it should unblock our experimentation. I'm curious how it's going to look in dper_example world. Reviewed By: azzolini Differential Revision: D4255285 fbshipit-source-id: ff65b6f943d705a9b3399035597e2e8ded2e1ff3
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.
Read the installation instructions for installation details.
Caffe2 is released under the BSD 2-Clause license.