Calvin Lee
f69fb3829a
Add documentation for LPPool1D ( #5730 )
2018-03-13 04:37:25 -04:00
Piotr Mitros
7b33ef4cff
Documentation cleanup for activation functions ( #5457 )
2018-03-01 14:53:11 +01:00
Tongzhou Wang
8c18220a59
Fix layer_norm initialization and nn.Module docs ( #5422 )
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* Fix LN initialization; Support single int normalized_shape
* disable docstring inheritance
* fix sphinx warnings
2018-02-26 19:32:08 -05:00
Tongzhou Wang
1848cad108
[ready] Layer Normalization ( #4922 )
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* at::maybe_data_ptr and Check.h => TensorUtils.h
* THNN support for optional BN running_*
* ATen support for optional BN running_*
* Python nn.* support for optional BN running_*; Improve IN and BN doc
* Add tests for IN and BN new option
* Layer Norm
* Fix LRN doc
* functional interface for LN and IN
* Layer norm tests
* fix BN double backward returning undefined tensors
* fix jit test using wrong dim inputs for BN
* add/improve BN, IN and LN GPU tests with half type
* Udpate docs to be consistent with Conv notation
Fix onnx
Clarified onnx symbokic wrapper
* fix typo
* Address comments
2018-02-22 11:56:41 -05:00
Martin Drawitsch
1fdb3929c9
Fixes for docstrings/sphinx rendering of CosineAnnealingLR and Local Response Normalization ( #5254 )
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* Fix LaTex rendering in CosineAnnealingLR
Backslashes were interpreted by Python as escapes in the string, so \frac
turned into frac, which is not a valid LaTex command.
This could be fixed with double backslashes, but the easiest solution is to
just use a raw (r) docstring.
* Fix sphinx warnings for LRN doc headings
* Move LRN docstring from __init__ to class level
The docstring was not rendered by sphinx at
http://pytorch.org/docs/master/nn.html#torch.nn.LocalResponseNorm
because it was in the constructor.
* Remove superfluous backticks from LRN formula
2018-02-15 10:29:02 -05:00
Kai Arulkumaran
9f893dda5f
Add LocalResponseNorm to docs ( #4681 )
2018-01-16 11:12:50 -05:00
Richard Zou
35c4d73bdb
Deprecate nn.NLLLoss2d ( #4238 )
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* Deprecate nn.NLLLoss2d
* Fix legacy tests
* Fix tests
* Remove NLLLoss2d from docs, add deprecation warning instead of error
* fix lint
* Add more to docs
2018-01-04 12:38:04 -05:00
Sherin Thomas
492e26fbcd
Pad sequences and Pack sequences ( #3875 )
2017-12-22 16:14:09 +01:00
Sam Gross
9cb8b43778
Split off in-place NN functions ( #3683 )
...
For example, this splits threshold into threshold(), which is now
never in-place, and threshold_() which is always in-place.
This simplifies the in-place vs. non-in-place logic in
gen_variable_type.py, which was bug-prone.
2017-11-14 12:59:06 -05:00
Sam Gross
f1f64c8d07
Generate autograd functions for NN / more refactors ( #3136 )
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Generate autograd functions for NN and implement more derivatives in derivatives.yaml
A big refactor of gen_variable_type.py
2017-10-19 15:03:26 -04:00
SsnL
d5a7e304fa
added volumetric adaptive max pooling
2017-09-30 16:57:51 -04:00
SsnL
6a4ec4f9a8
VolumetricAdaptiveAveragePool
2017-09-25 15:12:44 -04:00
Soumith Chintala
ce4932f8a4
add softmax2d docs
2017-09-14 09:41:04 -04:00
Soumith Chintala
4fec5f658b
add Bilinear to docs, fix reference
2017-09-11 20:12:27 -04:00
Soumith Chintala
1794e76800
add missing bilinear docs entry
2017-09-11 20:06:44 -04:00
jekbradbury
5e088da5ba
Add DistributedDataParallel to docs
...
DataParallel was included twice.
2017-08-15 10:01:36 +05:30
Aron Barreira Bordin
11f3ccf98f
Add missing Modules to nn.functional ( #1801 )
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* add dropout2d and dropout3d to functional
added some loss functions to functional
added tests
using dropout from backend
added docs
fixes
* edited loss modules to call functional
2017-07-19 15:55:21 -04:00
Soumith Chintala
37183e91de
add normalize docs to sphinx
2017-07-13 02:31:57 -04:00
Soumith Chintala
58e4caf80f
add missing docs
2017-07-13 01:01:04 -04:00
Sam Gross
2c038f2074
Add weight normalization implementation ( #1945 )
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* Add weight normalization implementation
This adds forward "pre-hooks" which get called before the module's
forward() method. Weight norm is implemented as a hook which calculates
the weight variable from the weight_g and weight_v every iteration.
Based on @rtqichen implementation.
* Specify return type
2017-06-30 15:41:40 -04:00
Soumith Chintala
b3e500c522
fix docs generation warnings
2017-06-30 14:39:21 -04:00
Leonid Vlasenkov
ae61f3ff42
adds poisson NLL loss ( #1779 )
2017-06-27 10:04:54 -04:00
Soumith Chintala
1f391a42f7
fix warnings for docs generation
2017-06-27 00:18:32 -04:00
Alykhan Tejani
67968cb60b
Add numerically stable BCELoss which takes logits as input ( #1792 )
2017-06-19 22:05:51 -04:00
Francisco Massa
76ee014d10
Add documentation to SELU and AlphaDropout
2017-06-19 18:18:01 -04:00
Soumith Chintala
f61ec2495e
nn.EmbeddingBag to compute a bag of word embeddings (Embedding + Sum/Mean)
2017-06-15 12:32:47 -04:00
Aron Barreira Bordin
909f31764f
Add nn.padding to docs fixes #1127 ( #1808 )
...
* exposed nn.padding modules
* using functional
2017-06-15 07:41:38 -04:00
Sam Gross
9c53c6dcb9
Fix errors and warnings when building docs ( #1806 )
2017-06-14 13:50:14 -04:00
Adam Paszke
12813b88f6
Add DistributedDataParallel
2017-06-12 22:00:22 -04:00
Soumith Chintala
2a49353d5e
minor fix for docs of Upsample
2017-06-07 11:42:52 -04:00
Luca Antiga
b9ab26765e
Add 3D upsampling (nearest and trilinear) with tests
2017-06-07 11:29:27 -04:00
Aron Barreira Bordin
d7db75c10f
added CosineSimilarity to nn.distance and updated docs ( #1672 )
...
* added CosineSimilarity to nn.distance and updated docs
2017-06-06 22:53:21 -04:00
Adam Paszke
6b84dc26f0
Add F.cosine_similarity ( #1502 )
2017-05-15 11:12:54 -06:00
Soumith Chintala
ecd51f8510
docs fixes
2017-05-02 15:42:33 -04:00
Kai Arulkumaran
48a7869b23
Doc fixes ( #1409 )
2017-04-30 08:28:19 -04:00
Kai Arulkumaran
cbb9f08b71
Add new init methods gain, eye and dirac ( #1172 )
2017-04-28 17:16:40 -04:00
Dmitry Ulyanov
fa4f363b93
Instance norm ( #1283 )
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* instance norm
* fix whitespaces
* whitespaces
* docs
* "C" letter was cyrillic in docs, fixed
* remove force_eval, fix non contiguous case
2017-04-23 14:49:15 +02:00
Soumith Chintala
2979f4b989
add more functions to docs
2017-03-29 01:29:17 -04:00
Soumith Chintala
2fd4d088ff
add Adaptive pooling methods to docs
2017-03-26 22:43:46 -04:00
Soumith Chintala
13b1580613
add F.pad to docs
2017-03-15 00:09:14 -04:00
Alykhan Tejani
01650ac9de
add torch.nn.init docs to the source folder ( #979 )
2017-03-11 10:11:30 -05:00
Adam Paszke
da725830c2
Add support for variable length sequences in RNNs ( #873 )
2017-03-01 17:36:32 +01:00
Adam Paszke
b3d41a5f96
Add docs for ModuleList and ParameterList
2017-02-26 20:02:42 +01:00
Soumith Chintala
38c8520adf
adding unsqueeze to docs
2017-02-23 12:13:25 -05:00
Adam Paszke
c2c1710047
Add clip_grad_norm
2017-02-20 23:28:31 -08:00
Sasank Chilamkurthy
49295ebe54
Add sequential to documentation
2017-02-18 08:42:43 +05:30
Soumith Chintala
d4c9a3782b
billinear -> bilinear, docs for upsampling, improved docs for Unpooling, pep8 tests fix ( #617 )
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* billinear -> bilinear, docs for upsampling, improved docs for Unpooling, pep8 tests fix
2017-01-30 05:08:48 +05:30
Adam Paszke
57373c7c29
Fix docs
2017-01-28 01:16:04 +01:00
Soumith Chintala
0bc4246425
adding NLLLoss2d to docs
2017-01-24 09:22:51 -05:00
Adam Paszke
07ebbcbcb3
Add Parameter docs
2017-01-22 18:32:51 -05:00
Adam Paszke
ee4c77c59f
Docs improvements ( #512 )
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* Always compile .numpy() for all types
* Add torch.nn.functional docs and hidden headers
* Use sphinx to generate torchvision docs
* Remove unused import in ffi utils
2017-01-19 17:28:49 -05:00
Soumith Chintala
ac32d8b706
fix docs
2017-01-16 21:08:14 -05:00
Adam Paszke
f91bb96071
Remove cmin, cmax and cinv
2017-01-16 19:07:37 -05:00
Sam Gross
3a07228509
Add ConvTranspose1d module ( #449 )
2017-01-13 15:22:57 -05:00
Sam Gross
24a2f2e3a0
Add MaxUnpool1d module ( #447 )
2017-01-13 14:36:25 -05:00
Sam Gross
d5e45b2278
Add AvgPool1d which just uses AvgPool2d implementation ( #439 )
2017-01-12 15:07:11 -05:00
Soumith Chintala
42f131c09f
fixing nn.Conv* documentation for rst and adding nn docs to sphinx
2017-01-04 02:11:27 -05:00
Adam Paszke
f4870ca5c6
Fix nn docs
2016-12-30 00:15:06 -05:00
Sam Gross
126a1cc398
Add Sphinx docs
2016-12-28 00:03:39 +01:00
