Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/52083
This makes minor fixes in `caffe2/python` to address all errors currently
reported by Pyre.
I update the code to fix errors when doing so looked simple and safe,
and added `pyre-fixme` comments in other places.
ghstack-source-id: 121109695
Test Plan: Confirmed that Pyre no longer reports errors under `caffe2/python`
Differential Revision: D26272279
fbshipit-source-id: b1eb19d323b613f23280ce9c71e800e874ca1162
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: This method runs a train net multiple times therefore enables testing layers with iteration-dependent behavior.
Differential Revision: D5493750
fbshipit-source-id: a7fb967a66f799aaf82acfadc4ecf66e0744da20
Summary: A layer that takes raw ids as inputs and outputs the indices which can be used as labels. The mapping will be stored with the model.
Reviewed By: kittipatv
Differential Revision: D4902556
fbshipit-source-id: 647db47b0362142cdba997effa2ef7a5294c84ee
Summary: Make it convenient to test a model where we don't care about the backward pass, e.g., when the backward pass won't be run anyway.
Reviewed By: xianjiec
Differential Revision: D4906890
fbshipit-source-id: 9da51a9de4422474ce780e180b1ca95d6bc8c46d
Summary: This layer will be used to sample negative labels for sampled softmax.
Differential Revision: D4773444
fbshipit-source-id: 605a979c09d07531293dd9472da9d2fa7439c619
Summary:
This diff is adding eval nets to layer model helper. It should be useful for
the cases when train/eval nets need some extra input (usually some supervision)
for train/eval. For example various sampled layers, etc.
Differential Revision: D4769453
fbshipit-source-id: 7a8ec7024051eab73b8869ec21e20b5f10fd9acb
