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2019-04-06add SyncBatchNorm to docs (#18988)Soumith Chintala1-0/+6
Summary: Fixes https://github.com/pytorch/pytorch/issues/18983 Pull Request resolved: https://github.com/pytorch/pytorch/pull/18988 Differential Revision: D14820042 Pulled By: soumith fbshipit-source-id: 356169f554a42303b266d700d3379a5288f9671d
2019-04-05Add numpy like repeat as torch.repeat_interleave (#18395)Gao, Xiang2-0/+2
Summary: Fixes: https://github.com/pytorch/pytorch/issues/14093 cc: SsnL Pull Request resolved: https://github.com/pytorch/pytorch/pull/18395 Differential Revision: D14599509 Pulled By: umanwizard fbshipit-source-id: 2391a1cc135fe5bab38475f1c8ed87c4a96222f3
2019-04-04fix lint in optim docTongzhou Wang1-2/+2
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18883 Differential Revision: D14793365 Pulled By: ezyang fbshipit-source-id: c1b46c98e3319badec3e0e772d0ddea24cbf9c89
2019-04-04Fix typoWanwannodao1-1/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18802 Differential Revision: D14781874 Pulled By: ezyang fbshipit-source-id: 0f94c40bd84c84558ea3329117580f6c749c019f
2019-04-03Allow ints, floats, and tensors in conditional (#18755)Elias Ellison1-0/+3
Summary: Per our offline discussion, allow Tensors, ints, and floats to be casted to be bool when used in a conditional Fix for https://github.com/pytorch/pytorch/issues/18381 Pull Request resolved: https://github.com/pytorch/pytorch/pull/18755 Reviewed By: driazati Differential Revision: D14752476 Pulled By: eellison fbshipit-source-id: 149960c92afcf7e4cc4997bccc57f4e911118ff1
2019-04-03QTensor (#18230)Jerry Zhang1-0/+4
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18230 Implementing minimum qtensor API to unblock other workstreams in quantization Changes: - Added Quantizer which represents different quantization schemes - Added qint8 as a data type for QTensor - Added a new ScalarType QInt8 - Added QTensorImpl for QTensor - Added following user facing APIs - quantize_linear(scale, zero_point) - dequantize() - q_scale() - q_zero_point() Reviewed By: dzhulgakov Differential Revision: D14524641 fbshipit-source-id: c1c0ae0978fb500d47cdb23fb15b747773429e6c
2019-03-31Delete duplicated technical content from contribution_guide.rst (#18628)Edward Yang1-565/+0
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18628 ghimport-source-id: d94b81a6f303883d97beaae25344fd591e13ce52 Stack from [ghstack](https://github.com/ezyang/ghstack): * #18629 Provide flake8 install instructions. * **#18628 Delete duplicated technical content from contribution_guide.rst** There's useful guide in contributing_guide.rst, but the technical bits were straight up copy-pasted from CONTRIBUTING.md, and I don't think it makes sense to break the CONTRIBUTING.md link. Instead, I deleted the duplicate bits and added a cross reference to the rst document. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Differential Revision: D14701003 fbshipit-source-id: 3bbb102fae225cbda27628a59138bba769bfa288
2019-03-30Turn on F401: Unused import warning. (#18598)Edward Yang1-1/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18598 ghimport-source-id: c74597e5e7437e94a43c163cee0639b20d0d0c6a Stack from [ghstack](https://github.com/ezyang/ghstack): * **#18598 Turn on F401: Unused import warning.** This was requested by someone at Facebook; this lint is turned on for Facebook by default. "Sure, why not." I had to noqa a number of imports in __init__. Hypothetically we're supposed to use __all__ in this case, but I was too lazy to fix it. Left for future work. Be careful! flake8-2 and flake8-3 behave differently with respect to import resolution for # type: comments. flake8-3 will report an import unused; flake8-2 will not. For now, I just noqa'd all these sites. All the changes were done by hand. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Differential Revision: D14687478 fbshipit-source-id: 30d532381e914091aadfa0d2a5a89404819663e3
2019-03-29Rename `btriunpack` to `lu_unpack` (#18529)Vishwak Srinivasan1-0/+1
Summary: Changelog: - Renames `btriunpack` to `lu_unpack` to remain consistent with the `lu` function interface. - Rename all relevant tests, fix callsites - Create a tentative alias for `lu_unpack` under the name `btriunpack` and add a deprecation warning to not promote usage. Pull Request resolved: https://github.com/pytorch/pytorch/pull/18529 Differential Revision: D14683161 Pulled By: soumith fbshipit-source-id: 994287eaa15c50fd74c2f1c7646edfc61e8099b1
2019-03-29Rename `btrifact*` to `lu` (#18435)Vishwak Srinivasan2-0/+2
Summary: Changelog: - Renames `btrifact` and `btrifact_with_info` to `lu`to remain consistent with other factorization methods (`qr` and `svd`). - Now, we will only have one function and methods named `lu`, which performs `lu` decomposition. This function takes a get_infos kwarg, which when set to True includes a infos tensor in the tuple. - Rename all tests, fix callsites - Create a tentative alias for `lu` under the name `btrifact` and `btrifact_with_info`, and add a deprecation warning to not promote usage. - Add the single batch version for `lu` so that users don't have to unsqueeze and squeeze for a single square matrix (see changes in determinant computation in `LinearAlgebra.cpp`) Pull Request resolved: https://github.com/pytorch/pytorch/pull/18435 Differential Revision: D14680352 Pulled By: soumith fbshipit-source-id: af58dfc11fa53d9e8e0318c720beaf5502978cd8
2019-03-27Adds Cyclical Learning Rate and Momentum (#18001)Sam Pepose1-0/+2
Summary: This implements a cyclical learning rate (CLR) schedule with an optional inverse cyclical momentum. More info about CLR: https://github.com/bckenstler/CLR This is finishing what #2016 started. Resolves #1909. Pull Request resolved: https://github.com/pytorch/pytorch/pull/18001 Differential Revision: D14451845 Pulled By: sampepose fbshipit-source-id: 8f682e0c3dee3a73bd2b14cc93fcf5f0e836b8c9
2019-03-27Generate sphinx docs with secure content. (#18508)Paul O’Shannessy1-1/+1
Summary: There are a number of pages in the docs that serve insecure content. AFAICT this is the sole source of that. I wasn't sure if docs get regenerated for old versions as part of the automation, or if those would need to be manually done. cf. https://github.com/pytorch/pytorch.github.io/pull/177 Pull Request resolved: https://github.com/pytorch/pytorch/pull/18508 Differential Revision: D14645665 Pulled By: zpao fbshipit-source-id: 003563b06048485d4f539feb1675fc80bab47c1b
2019-03-27Upgrade flake8-bugbear to master, fix the new lints. (#18507)Edward Yang1-1/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18507 ghimport-source-id: 1c3642befad2da78a7e5f39d6d58732b85c76267 Stack from [ghstack](https://github.com/ezyang/ghstack): * **#18507 Upgrade flake8-bugbear to master, fix the new lints.** It turns out Facebobok is internally using the unreleased master flake8-bugbear, so upgrading it grabs a few more lints that Phabricator was complaining about but we didn't get in open source. A few of the getattr sites that I fixed look very suspicious (they're written as if Python were a lazy language), but I didn't look more closely into the matter. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Differential Revision: D14633682 fbshipit-source-id: fc3f97c87dca40bbda943a1d1061953490dbacf8
2019-03-26Add section about .code to docsJames Reed1-5/+50
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18493 Differential Revision: D14634677 Pulled By: jamesr66a fbshipit-source-id: 9ee065f6ce4218f725b93deb4c64b4ef55926145
2019-03-26Add some missing docs for tensor methods and attributes, new unittest to ↵Xiang Gao1-1/+32
enforce tensors.rst no longer miss anything (#16057) Summary: This depend on https://github.com/pytorch/pytorch/pull/16039 This prevent people (reviewer, PR author) from forgetting adding things to `tensors.rst`. When something new is added to `_tensor_doc.py` or `tensor.py` but intentionally not in `tensors.rst`, people should manually whitelist it in `test_docs_coverage.py`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/16057 Differential Revision: D14619550 Pulled By: ezyang fbshipit-source-id: e1c6dd6761142e2e48ec499e118df399e3949fcc
2019-03-26Add Google tag (#17690)Pat Mellon1-0/+12
Summary: This PR adds a Global Site Tag to the site. Pull Request resolved: https://github.com/pytorch/pytorch/pull/17690 Differential Revision: D14620816 Pulled By: zou3519 fbshipit-source-id: c02407881ce08340289123f5508f92381744e8e3
2019-03-26Introduce SobolEngine (#10505)vishwakftw1-0/+7
Summary: `SobolEngine` is a quasi-random sampler used to sample points evenly between [0,1]. Here we use direction numbers to generate these samples. The maximum supported dimension for the sampler is 1111. Documentation has been added, tests have been added based on Balandat 's references. The implementation is an optimized / tensor-ized implementation of Balandat 's implementation in Cython as provided in #9332. This closes #9332 . cc: soumith Balandat Pull Request resolved: https://github.com/pytorch/pytorch/pull/10505 Reviewed By: zou3519 Differential Revision: D9330179 Pulled By: ezyang fbshipit-source-id: 01d5588e765b33b06febe99348f14d1e7fe8e55d
2019-03-25Implement reference counting for shared IPC CUDA tensors (#16854)Vitaly Fedyunin1-47/+55
Summary: This is to fix #16141 and similar issues. The idea is to track a reference to every shared CUDA Storage and deallocate memory only after a consumer process deallocates received Storage. ezyang Done with cleanup. Same (insignificantly better) performance as in file-per-share solution, but handles millions of shared tensors easily. Note [ ] documentation in progress. Pull Request resolved: https://github.com/pytorch/pytorch/pull/16854 Differential Revision: D13994490 Pulled By: VitalyFedyunin fbshipit-source-id: 565148ec3ac4fafb32d37fde0486b325bed6fbd1
2019-03-21Cleanup TorchScript rst docs (#18234)David Riazati1-58/+103
Summary: * Adds more headers for easier scanning * Adds some line breaks so things are displayed correctly * Minor copy/spelling stuff Pull Request resolved: https://github.com/pytorch/pytorch/pull/18234 Reviewed By: ezyang Differential Revision: D14567737 Pulled By: driazati fbshipit-source-id: 046d991f7aab8e00e9887edb745968cb79a29441
2019-03-21Rename trtrs to triangular_solve (#18213)vishwakftw2-0/+2
Summary: Changelog: - Renames `trtrs` to `triangular_solve` to remain consistent with `cholesky_solve` and `solve`. - Rename all tests, fix callsites - Create a tentative alias for `triangular_solve` under the name `trtrs`, and add a deprecation warning to not promote usage. - Move `isnan` to _torch_docs.py - Remove unnecessary imports Pull Request resolved: https://github.com/pytorch/pytorch/pull/18213 Differential Revision: D14566902 Pulled By: ezyang fbshipit-source-id: 544f57c29477df391bacd5de700bed1add456d3f
2019-03-21Fix contribution_guide docs (#18237)kshitij123451-2/+2
Summary: Fixes Typo and a Link in the `docs/source/community/contribution_guide.rst` Pull Request resolved: https://github.com/pytorch/pytorch/pull/18237 Differential Revision: D14566907 Pulled By: ezyang fbshipit-source-id: 3a75797ab6b27d28dd5566d9b189d80395024eaf
2019-03-18Rename gesv to solve (#18060)Vishwak Srinivasan2-0/+2
Summary: Changelog: - Renames `gesv` to `solve` to remain consistent with `cholesky_solve`. - Rename all tests, fix callsites - Create a tentative alias for `solve` under the name `gesv`, and add a deprecated warning to not promote usage. Pull Request resolved: https://github.com/pytorch/pytorch/pull/18060 Differential Revision: D14503117 Pulled By: zou3519 fbshipit-source-id: 99c16d94e5970a19d7584b5915f051c030d49ff5
2019-03-14Fix typo (#17949)Johannes M Dieterich1-1/+1
Summary: Fix a very common typo in my name. Pull Request resolved: https://github.com/pytorch/pytorch/pull/17949 Differential Revision: D14475162 Pulled By: ezyang fbshipit-source-id: 91c2c364c56ecbbda0bd530e806a821107881480
2019-03-14Add magma debug version for Windowspeter1-2/+4
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18008 Differential Revision: D14455117 Pulled By: soumith fbshipit-source-id: 29d9a2e0b36d72bece0bb1870bbdc740c4d1f9d6
2019-03-13fix punctuationlivc1-1/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17973 Differential Revision: D14438725 Pulled By: zou3519 fbshipit-source-id: 30a5485b508b4ae028057e0b66a8abb2b163d66b
2019-03-11Add PyTorch Governance, Contributor Guide, and List of Persons of InterestEric Nakagawa4-0/+1207
Summary: Adding new documents to the PyTorch website to describe how PyTorch is governed, how to contribute to the project, and lists persons of interest. Reviewed By: orionr Differential Revision: D14394573 fbshipit-source-id: ad98b807850c51de0b741e3acbbc3c699e97b27f
2019-03-10fix faq typoTongzhou Wang1-3/+3
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17851 Differential Revision: D14401791 Pulled By: soumith fbshipit-source-id: ed6d64d6f5985e7ce76dca1e9e376782736b90f9
2019-03-06Enable using CMD when building cpp extensions on Windowspeter1-3/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17706 Differential Revision: D14346482 Pulled By: ezyang fbshipit-source-id: 7c85e51c701f6c0947ad324ef19fafda40ae1cb9
2019-03-05fix typo in hub docTongzhou Wang1-4/+4
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17705 Differential Revision: D14338380 Pulled By: ailzhang fbshipit-source-id: d53eece30bede88a642e718ee6f829ba29c7d1c4
2019-03-01Update magma to 2.5.0 for Windowspeter1-3/+3
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17607 Differential Revision: D14281291 Pulled By: yf225 fbshipit-source-id: 51209c5540932871e45e54ba6d61b3b7d264aa8c
2019-02-25upload alias tracker graph for docs (#17476)Michael Suo1-0/+0
Summary: as title Pull Request resolved: https://github.com/pytorch/pytorch/pull/17476 Differential Revision: D14218312 Pulled By: suo fbshipit-source-id: 64df096a3431a6f25cd2373f0959d415591fed15
2019-02-22fix code block typovfdev1-0/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/17421 Differential Revision: D14194877 Pulled By: soumith fbshipit-source-id: 6173835d833ce9e9c02ac7bd507cd424a20f2738
2019-02-21Add dict to docsDavid Riazati1-10/+24
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/16640 Differential Revision: D14178270 Pulled By: driazati fbshipit-source-id: 581040abd0b7f8636c53fd97c7365df99a2446cf
2019-02-15Move outplace ops to ATen (#16788)Xiang Gao1-0/+8
Summary: Based on https://github.com/pytorch/pytorch/pull/12413, with the following additional changes: - Inside `native_functions.yml` move those outplace operators right next to everyone's corresponding inplace operators for convenience of checking if they match when reviewing - `matches_jit_signature: True` for them - Add missing `scatter` with Scalar source - Add missing `masked_fill` and `index_fill` with Tensor source. - Add missing test for `scatter` with Scalar source - Add missing test for `masked_fill` and `index_fill` with Tensor source by checking the gradient w.r.t source - Add missing docs to `tensor.rst` Differential Revision: D14069925 Pulled By: ezyang fbshipit-source-id: bb3f0cb51cf6b756788dc4955667fead6e8796e5
2019-02-15one_hot docs missing (#17142)Krishna1-5/+5
Summary: one_hot docs is missing [here](https://pytorch.org/docs/master/nn.html#one-hot). I dug around and could not find a way to get this working properly. Differential Revision: D14104414 Pulled By: zou3519 fbshipit-source-id: 3f45c8a0878409d218da167f13b253772f5cc963
2019-02-15Add some missing docs to torch.rst, new unittest to enforce torch.rst no ↵Xiang Gao1-0/+4
longer miss anything (#16039) Summary: This prevent people (reviewer, PR author) from forgetting adding things to `torch.rst`. When something new is added to `_torch_doc.py` or `functional.py` but intentionally not in `torch.rst`, people should manually whitelist it in `test_docs_coverage.py`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/16039 Differential Revision: D14070903 Pulled By: ezyang fbshipit-source-id: 60f2a42eb5efe81be073ed64e54525d143eb643e
2019-02-09Fix the error in the note about `torch.device` documentation. (#16839)Jiren Jin1-1/+1
Summary: This PR is a simple fix for the mistake in the first note for `torch.device` in the "tensor attributes" doc. ![image](https://user-images.githubusercontent.com/8536399/52399611-1becaa00-2b00-11e9-85bf-cac04b29842d.png) ``` >>> # You can substitute the torch.device with a string >>> torch.randn((2,3), 'cuda:1') ``` Above code will cause error like below: ``` --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-53-abdfafb67ab1> in <module>() ----> 1 torch.randn((2,3), 'cuda:1') TypeError: randn() received an invalid combination of arguments - got (tuple, str), but expected one of: * (tuple of ints size, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool requires_grad) * (tuple of ints size, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool requires_grad) ``` Simply adding the argument name `device` solves the problem: `torch.randn((2,3), device='cuda:1')`. However, another concern is that this note seems redundant as **there is already another note covering this usage**: ![image](https://user-images.githubusercontent.com/8536399/52399583-0ecfbb00-2b00-11e9-914f-e95da4edecd1.png) So maybe it's better to just remove this note? Pull Request resolved: https://github.com/pytorch/pytorch/pull/16839 Reviewed By: ezyang Differential Revision: D13989209 Pulled By: gchanan fbshipit-source-id: ac255d52528da053ebfed18125ee6b857865ccaf
2019-02-07doc updates for TorchScript (#16866)Michael Suo1-5/+38
Summary: Some batched updates: 1. bool is a type now 2. Early returns are allowed now 3. The beginning of an FAQ section with some guidance on the best way to do GPU training + CPU inference Pull Request resolved: https://github.com/pytorch/pytorch/pull/16866 Differential Revision: D13996729 Pulled By: suo fbshipit-source-id: 3b884fd3a4c9632c9697d8f1a5a0e768fc918916
2019-01-30add example multiprocess code (#16345)Ailing Zhang1-9/+51
Summary: fixes #16141 Differential Revision: D13868539 Pulled By: ailzhang fbshipit-source-id: 03e858d0aff7804c5e9e03a8666f42fd12836ef2
2019-01-25Update Documentation for Optionals (#16380)Elias Ellison1-1/+30
Summary: Now that https://github.com/pytorch/pytorch/pull/15587 has landed, updating docs. Will close https://github.com/pytorch/pytorch/issues/15278 Pull Request resolved: https://github.com/pytorch/pytorch/pull/16380 Differential Revision: D13825221 Pulled By: eellison fbshipit-source-id: c5a7a7fbb40ba7be46a80760862468f2c9967169
2019-01-24Update docs to include variable annotation example (#16324)Sidney Zhang1-1/+34
Summary: Relates to this issue https://github.com/pytorch/pytorch/issues/16288 Pull Request resolved: https://github.com/pytorch/pytorch/pull/16324 Reviewed By: ezyang Differential Revision: D13805412 Pulled By: suo fbshipit-source-id: 8b80f988262da2c717452a71142327bbc23d1b8f
2019-01-23Typos and broken RSTs fixed in torch.distribution (#16136)Derek Kim1-0/+9
Summary: - probabilty -> probability - make long lines break - Add LogitRelaxedBernoulli in distribution.rst Pull Request resolved: https://github.com/pytorch/pytorch/pull/16136 Differential Revision: D13780406 Pulled By: soumith fbshipit-source-id: 54beb975eb18c7d67779a9631dacf7d1461a6b32
2019-01-14Add cuda.reset_max_memory_* (#15985)SsnL2-4/+6
Summary: Addresses #15968 Pull Request resolved: https://github.com/pytorch/pytorch/pull/15985 Differential Revision: D13649916 Pulled By: soumith fbshipit-source-id: a207aea5709a79dba7a6fc541d0a70103f49efff
2019-01-07Add is_floating_point to docs (#15704)vishwakftw3-0/+5
Summary: Fixes #15700 . Changelog: - Expose torch.*.is_floating_point to docs Differential Revision: D13580734 Pulled By: zou3519 fbshipit-source-id: 76edb4af666c08237091a2cebf53d9ba5e6c8909
2018-12-30Fix typo in documentationAlexander Rodin1-1/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15628 Differential Revision: D13562685 Pulled By: soumith fbshipit-source-id: 1621fcff465b029142313f717035e935e9159513
2018-12-27Update cuda.get/set_rng_state doc (#14324)SsnL1-0/+2
Summary: Now that `cuda.get/set_rng_state` accept `device` objects, the default value should be an device object, and doc should mention so. Pull Request resolved: https://github.com/pytorch/pytorch/pull/14324 Reviewed By: ezyang Differential Revision: D13528707 Pulled By: soumith fbshipit-source-id: 32fdac467dfea6d5b96b7e2a42dc8cfd42ba11ee
2018-12-25remove legacy from docs (#15112)Soumith Chintala2-5/+0
Summary: Fixes https://github.com/pytorch/pytorch/issues/15062 Pull Request resolved: https://github.com/pytorch/pytorch/pull/15112 Differential Revision: D13547845 Pulled By: soumith fbshipit-source-id: 61e3e6c6b0f6b6b3d571bee02db2938ea9698c99
2018-12-24Allow converting char tensor to numpy; add [fi]info.min (#15046)SsnL1-4/+6
Summary: https://github.com/pytorch/pytorch/pull/14710 with test fixed. Also added `finfo.min` and `iinfo.min` to get castable tensors. cc soumith Pull Request resolved: https://github.com/pytorch/pytorch/pull/15046 Reviewed By: soumith Differential Revision: D13429388 Pulled By: SsnL fbshipit-source-id: 9a08004419c83bc5ef51d03b6df3961a9f5dbf47
2018-12-23Add torch.rot90 to torch.rstGao, Xiang1-0/+1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15512 Differential Revision: D13545775 Pulled By: soumith fbshipit-source-id: 2a8896571745630cff4aaf3d5469ef646bdcddb4
2018-12-20Add at::one_hot (#15208)Gao, Xiang1-0/+5
Summary: Closes: https://github.com/pytorch/pytorch/issues/15060 Differential Revision: D13528014 Pulled By: ezyang fbshipit-source-id: 5a18689a4c5638d92f9390c91517f741e5396293
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