| commit | 27dde63358332f1c8bf209b19a3d60ce5e6d3986 | [log] [tgz] |
|---|---|---|
| author | Pieter Noordhuis <pietern@fb.com> | Fri Sep 15 09:30:59 2017 -0700 |
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Fri Sep 15 09:45:11 2017 -0700 |
| tree | 8c7f1df7ce73fe922245e0b29feba0667c13a7d3 | |
| parent | 1a89c6e1ec9d9999057f04b60926659f37ed5056 [diff] |
Allow run of example resnet50_trainer without training data Summary: This is useful for pure throughput tests where we don't care about training a real model. Reviewed By: akyrola Differential Revision: D5834293 fbshipit-source-id: dab528c9269fb713e6f6b42457966219c06e0a35
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.
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