Summary:
There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports:
```2to3 -f future -w caffe2```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033
Reviewed By: seemethere
Differential Revision: D23808648
Pulled By: bugra
fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
Summary: As in the title + added scuba logging of the results.
Reviewed By: andrewwdye
Differential Revision: D4974261
fbshipit-source-id: 3e05b97133be95ffe37c8bcafd8a5a6bf3e7da93
Summary:
it was broken in trunk and I fixed it locally then had a
wrong merge in D4672026. This is just a revert of those changes
Reviewed By: ajtulloch
Differential Revision: D4723138
fbshipit-source-id: 14757d9c8ae5135bd7c084003a64e25efc74b54f
Summary:
This is going to allow to experiment with various training from scratch / fine tunning technics. The code itself for the new model is not intended to be used as is. Instead one could train a full precision model first. Then add quantization for the last layer, then for the next one and so on.
In my experiments I tried getting a pretrained model and then quantizing all inception layers with 4 bits. This restored original accuracy after several dozen iterations
Also in this diff I added a common prefix to the model checkpoint + added this prefix to git / hg ignore.
And also some extra logs which are usefull to quickly see how things changed right after enabling quantization
Differential Revision: D4672026
fbshipit-source-id: b022c8ccf11dd8a2af1a7b2e92673483bc741a11
Summary: Fixed a bug (AttributeError: ModelTrainerLog instance has no attribute 'external_loggers', at File "caffe2/python/experiment_util.py", line 101) when no external_loggers is passed to ModelTrainerLog().
Differential Revision: D4697197
fbshipit-source-id: 1c770c366d87ea474bcf40ab289b67c76648d48b
Summary:
TSIA
This change also fixes an undefined attribute error after running 20
iterations of the resnet50 example trainer.
Differential Revision: D4692794
fbshipit-source-id: b98efdfeb078c5ba89d2a86837f3c672e1eade5f
Summary:
Remove MPI and use fb.distributed rendezvous and Pieter's new Ops.
One now can pass a 'rendezvous' struct to data_parallel_model to initiate distributed SyncSGD. Provided rendezvoud implementation uses the kv-store handler of fb.distributed to disseminate information about other hosts. We can easily add other rendezvous, such as file-based, but that is topic of another diff.
Removing MPI allowed also simplifiying of Xray startup scripts, which are included in this diff.
When accepted, I will work on a simple example code so others can use this stuff as well. Also Flow implementation will be topic of next week.
Differential Revision: D4180012
fbshipit-source-id: 9e74f1fb43eaf7d4bb3e5ac6718d76bef2dfd731
