Summary:
Apply weight decay for Adam in-place instead of via copy.
Synced offline with soumith , who mentioned that it should be OK. This is also consistent with other optimizers, e.g. eee01731a5/torch/optim/sgd.py (L93)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12107
Reviewed By: soumith
Differential Revision: D10071787
Pulled By: jma127
fbshipit-source-id: 5fd7939c79039693b225c44c4c80450923b8d673
Summary:
Minor addition to the docstring of `torch.nn.optim.Adam`, adding the default argument description for the `amsgrad` argument to the docstring for concistency.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/9971
Differential Revision: D9040820
Pulled By: soumith
fbshipit-source-id: 168744a6bb0d1422331beffd7e694b9d6f61900c
Here's the command I used to invoke autopep8 (in parallel!):
git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i
Several rules are ignored in setup.cfg. The goal is to let autopep8
handle everything which it can handle safely, and to disable any rules
which are tricky or controversial to address. We may want to come back
and re-enable some of these rules later, but I'm trying to make this
patch as safe as possible.
Also configures flake8 to match pep8's behavior.
Also configures TravisCI to check the whole project for lint.
