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17 Commits

Author SHA1 Message Date
Xuehai Pan
8d45f555d7 [BE] [1/3] Rewrite super() calls in caffe2 and benchmarks (#94587) 
Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied.

- #94587
- #94588
- #94592

Also, methods with only a `super()` call are removed:

```diff
class MyModule(nn.Module):
-   def __init__(self):
-       super().__init__()
-
    def forward(self, ...):
        ...
```

Some cases that change the semantics should be kept unchanged. E.g.:

f152a79be9/caffe2/python/net_printer.py (L184-L190)

f152a79be9/test/test_jit_fuser_te.py (L2628-L2635)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94587
Approved by: https://github.com/ezyang
 2023-02-11 18:19:48 +00:00
Adam Simpkins
81b9aa743b [pytorch] Update caffe2/python to eliminate Pyre errors (#52083) 
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
 2021-02-11 11:04:59 -08:00
Bugra Akyildiz
27c7158166 Remove __future__ imports for legacy Python2 supports (#45033) 
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
 2020-09-23 17:57:02 -07:00
Orion Reblitz-Richardson
1d5780d42c Remove Apache headers from source. 
* LICENSE file contains details, so removing from individual source files.
 2018-03-27 13:10:18 -07:00
Xiaolong Wang
4bb73b8361 [GanH] Weighting Layers: Adaptive/Constant/Homotopy 
use case: to weight multiple losses (real values) as a single composite loss for
optimization
 2018-03-20 13:34:22 -07:00
Yangqing Jia
8286ce1e3a Re-license to Apache 
Summary: Closes https://github.com/caffe2/caffe2/pull/1260

Differential Revision: D5906739

Pulled By: Yangqing

fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
 2017-09-28 16:22:00 -07:00
Mingda Li
e3c45206ec Add a method to run a train net multiple times in layer_test_util.py 
Summary: This method runs a train net multiple times therefore enables testing layers with iteration-dependent behavior.

Differential Revision: D5493750

fbshipit-source-id: a7fb967a66f799aaf82acfadc4ecf66e0744da20
 2017-07-28 19:56:05 -07:00
Thomas Dudziak
342de07231 Core unit test fixes for Python 3 
Summary: As title

Differential Revision: D5291327

fbshipit-source-id: 7dd9279c53ba55d3422c31973ffcec5705787fdf
 2017-06-23 13:22:16 -07:00
Jiyan Yang
6aff754dbc Add batch normalization layer 
Summary: As desc.

Reviewed By: xianjiec

Differential Revision: D5077230

fbshipit-source-id: f73cdedac6d9a3542f8ef829b54fb4c713dcafd0
 2017-05-26 16:46:52 -07:00
Yangqing Jia
deb1327b6e Re-apply #266 
Summary: Closes https://github.com/caffe2/caffe2/pull/404

Differential Revision: D4943280

Pulled By: Yangqing

fbshipit-source-id: c0988598d8ccb8329feac88382686324b90d4d46
 2017-04-25 21:17:04 -07:00
Jiyan Yang
ef2701a57e MapToRange layer 
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
 2017-04-25 16:03:58 -07:00
Yangqing Jia
a48062b1a2 temporarily fix sync script bugs changes by reverting partially https://github.com/caffe2/caffe2/pull/266/files 2017-04-24 15:49:22 -07:00
Kittipat Virochsiri
4bc40d0658 reset environment after every example 
Summary: Hypothesis tests only call `setUp()` once per test. It's annoying to reset manually.

Reviewed By: xianjiec

Differential Revision: D4911862

fbshipit-source-id: 6b1c11daf002d51c8a0d532261506bcb20429438
 2017-04-19 16:46:16 -07:00
Kittipat Virochsiri
23230215a9 Add run_train_net_forward_only() to LayersTestCase 
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
 2017-04-18 16:47:05 -07:00
Aaron Markham
b93a7b134a doxygen configs and updated python files to inc. doxygen tags (#266) 
* updated ubuntu instructions

* updated ubuntu notes and troubleshooting

* updated tutorials using local files

* added doxygen python blocks for docs generation

* doxygen related files for generating docs
 2017-04-14 16:30:33 -07:00
Kittipat Virochsiri
3eb3507367 uniform_sampling layer 
Summary: This layer will be used to sample negative labels for sampled softmax.

Differential Revision: D4773444

fbshipit-source-id: 605a979c09d07531293dd9472da9d2fa7439c619
 2017-03-29 14:36:12 -07:00
Andrey Malevich
7cc92b1260 Add eval net for layer_model_helper 
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
 2017-03-29 04:03:40 -07:00