commit | f7ece79949cb3d6da4ba4d22b9ff2ac0e5e5a357 | [log] [tgz] |
---|---|---|
author | Luke Yeager <lukeyeager@users.noreply.github.com> | Thu Aug 17 15:08:33 2017 -0700 |
committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Thu Aug 17 15:16:24 2017 -0700 |
tree | e09858a064481ce498bb486b030d36a3b3f67dc6 | |
parent | 692f4e4e3b7c5b64404d9655f99dfa19dc788867 [diff] |
Add fp16 and tensorcore support to resnet50_trainer Summary: Use like `--dtype=float16 --enable-tensor-core` Closes https://github.com/caffe2/caffe2/pull/1093 Differential Revision: D5634840 Pulled By: harouwu fbshipit-source-id: 18c1e70236ba5ef8661ff55fb524caae1be19310
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Caffe2 research award competition request for proposals
Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.
Please participate in our survey (https://www.surveymonkey.com/r/caffe2). We will send you information about new releases and special developer events/webinars.
Caffe2 is released under the BSD 2-Clause license.