OSSForks/pytorch
1
0
Fork 0
mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-07 12:21:27 +01:00
Code Issues Actions 37 Packages Projects Releases Wiki Activity
30,852 Commits 8,304 Branches 150 Tags 1.5 GiB
cuda_stream_jit
Commit Graph

104 Commits

Author SHA1 Message Date
Cosmo Stérin
45524ec33c Fix indices bug in MM.py (#1613) (#1617) 2017-05-22 16:47:51 -04:00
Gregory Chanan
c9d8e0a43a Change all legacy/nn modules to use keepdim=True (even if tests don't fail). 
We shouldn't be introducing changes in legacy modules if we can avoid it.
 2017-05-09 14:16:31 -07:00
DigiDigi
fc19473501 Corrections in legacy modules. (#1286) 2017-04-18 17:13:53 -04:00
Adam Paszke
91c4ba7980 Add torch.arange and deprecate torch.range 2017-04-03 10:38:58 -04:00
Adam Paszke
1e8cb82a2d Break only after the update in L-BFGS 2017-03-22 18:58:42 -04:00
Marko Vitez
937ba581d7 Improve nn.legacy compatibility with Torch7 (#738) 2017-02-16 21:17:12 +05:30
Adam Paszke
63edca44f2 Add tests for non-contiguous inputs and gradients 2017-02-14 21:28:50 +01:00
Adam Lerer
518864a7e0 Fix bug in legacy NN updateGradParameters (#714) 2017-02-11 11:04:18 +05:30
Soumith Chintala
d4c9a3782b billinear -> bilinear, docs for upsampling, improved docs for Unpooling, pep8 tests fix (#617) 
* billinear -> bilinear, docs for upsampling, improved docs for Unpooling, pep8 tests fix
 2017-01-30 05:08:48 +05:30
Luke Yeager
3ed720079e [pep8] Fix most remaining lint manually 2017-01-28 01:15:51 +01:00
Luke Yeager
e7c1e6a8e3 [pep8] Fix most lint automatically with autopep8 
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.
 2017-01-28 01:15:51 +01:00
Adam Paszke
f8ae34706e Port L-BFGS from Lua optim 2017-01-22 18:02:40 -05:00
glample
99f4864674 fixed RMSprop initialization (#485) 
* fixed RMSprop initialization
 2017-01-18 17:05:53 -05:00
Adam Paszke
f91bb96071 Remove cmin, cmax and cinv 2017-01-16 19:07:37 -05:00
Adam Paszke
77136e4c13 Add anything in torch.legacy docs 2017-01-16 12:59:47 -05:00
Adam Paszke
7a162dd97a Fix outputs of torch.* comparison functions 2016-12-30 23:02:57 +01:00
Sergey Zagoruyko
101950ce92 fix repr in legacy.nn.linear 2016-12-29 17:30:46 -05:00
Sergey Zagoruyko
55e850d825 test if modules can be printed with fixes 2016-12-29 17:30:46 -05:00
Adam Paszke
9b7eceddc8 Accept outputs in out argument 2016-12-29 12:25:59 +01:00
Adam Paszke
cd82b2b869 Implement comparison and logical operators for tensors 2016-12-28 00:04:08 +01:00
soumith
281e34d1b7 fixes for changes in THNN API 2016-12-13 18:10:07 -08:00
Sergey Zagoruyko
1031d671fb legacy fixes (#287) 2016-12-11 20:13:48 +01:00
Adam Paszke
0580f5a928 Add __len__ for tensors 2016-12-01 23:14:41 +01:00
Adam Paszke
bcfa2d6c79 Add .t7 file reader 2016-11-25 00:41:55 +01:00
Adam Paszke
ae6f2dd11c Adapt nn code to changes in THNN and THCUNN 2016-11-15 23:02:14 +01:00
Adam Paszke
df59b89fbb Add more optimizers 2016-11-07 22:50:56 +01:00
Adam Paszke
55d32de331 Fix bugs in torch.legacy.nn and add regression tests 2016-11-05 22:48:52 +01:00
Sam Gross
f2d7e94948 Use torch.Size for Tensor sizes and tuple for strides 
See issue #20

The torch.Size class is a tuple subclass which distinguishes sizes from
other tuples so that torch.Tensor(size) is interpreted as size instead
of data.
 2016-10-28 19:37:09 +02:00
Adam Paszke
71cf8e14cb Fixes in torch.legacy.nn 2016-10-24 22:29:43 +02:00
Brandon Amos
12de115305 Fix Lua->Python logic in legacy.optim 2016-10-24 20:04:23 +02:00
Adam Paszke
966adc6291 Simplify torch.cat 2016-10-10 20:51:15 -07:00
Adam Paszke
c8a4734b97 Add RReLU to both nn packages 2016-09-29 11:33:34 -07:00
Sam Gross
cb5d4e836f Lazy load CUDA and THNN modules (#64) 2016-09-28 19:29:53 -04:00
soumith
5107f23126 fix ClassNLLCriterion targets in tests and legacy nn 2016-09-26 18:56:12 -07:00
Adam Paszke
e71204b52f Improve error messages in storage and tensor C functions 2016-09-23 17:17:35 -07:00
Adam Paszke
8fdec15a55 Codemod to remove camel case method naming 2016-09-20 08:40:28 -07:00
Adam Paszke
fb39971464 Add more modules to nn 2016-09-14 11:05:56 -07:00
soumith
ccf7a3043f fixing MaxPooling for changed THNN interface 2016-09-13 11:44:17 -07:00
Adam Paszke
f646391f26 Bug fixes and test improvements 
Fixed:
* tensor and storage printing
* legacy.nn module printing
* SpatialCrosMapLRN tests

Also, all fixed bugs have regression tests now.
 2016-09-08 19:07:05 -07:00
Adam Paszke
78a958ab61 Update and fix bugs in legacy nn 2016-08-19 14:23:59 -07:00
Adam Paszke
9fff8e7392 Fixes for changes in libs 2016-08-12 22:02:57 -07:00
Adam Paszke
ef7364b80e Fix Python 2.7 compatibility 2016-08-12 18:26:10 -07:00
soumith
624dd3e10c fixing optim (tests pass) 2016-08-12 16:44:25 -07:00
Adam Paszke
1e905eb4d5 copy -> copy_ 2016-08-12 09:26:33 -07:00
Adam Paszke
fa6e5c5bff Update tests and fix CosineEmbeddingCriterion 2016-08-11 13:10:54 -07:00
Adam Paszke
ff00cdd728 Add cunn tests 2016-08-11 08:56:30 -07:00
Adam Paszke
e9f9fd3727 Major refactor 2016-08-10 09:24:53 -07:00
Adam Paszke
6df0ae5d35 Add cunn 2016-08-02 09:20:18 -07:00
Adam Paszke
2f342af22f Move optim to legacy 2016-08-01 12:01:46 -04:00
Adam Paszke
5c9bfe8c02 Fixes in nn 2016-08-01 11:58:54 -04:00
Adam Paszke
d12a358435 Add converted nn modules 2016-07-29 16:54:28 -04:00
Adam Paszke
27bbaf633b New tests and container modules + bug fixes 2016-07-28 10:06:30 -04:00
Adam Paszke
a4f544ca14 Converted nn modules 2016-07-26 13:36:15 -04:00
Adam Paszke
ae40bcd58c Base for nn conversion 2016-07-22 22:21:29 -04:00