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
Summary:
Previously, we were not able to assign names to `nn::Sequential`'s submodules. This PR adds this feature to match the Python API. Example use:
```cpp
Sequential sequential(named_submodule({
{"linear", Linear(10, 3)},
{"conv2d", Conv2d(1, 2, 3)},
{"dropout", Dropout(0.5)},
{"batchnorm", BatchNorm(5)},
{"embedding", Embedding(4, 10)},
{"lstm", LSTM(4, 5)}
}));
```
It also enables loading parameters of Python `nn.Sequential` module with custom submodules names into C++ frontend, unblocking https://github.com/pytorch/vision/pull/728#issuecomment-466661344.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17552
Differential Revision: D14246834
Pulled By: yf225
fbshipit-source-id: 3030b5c5d68f6dd5d3e37ac4b4f98dc6d6d9ba72
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
Summary:
as title. These were already added to the tutorials, but I didn't add them to the cpp docs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17452
Differential Revision: D14206501
Pulled By: suo
fbshipit-source-id: 89b5c8aaac22d05381bc4a7ab60d0bb35e43f6f5
Summary:
Fixed a few C++ API callsites to work with v1.0.1.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16221
Differential Revision: D13759207
Pulled By: yf225
fbshipit-source-id: bd92c2b95a0c6ff3ba5d73cb249d0bc88cfdc340
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15316
This starts cleaning up the files in c10 according to the module structure we decided on.
Move to c10/util:
- Half.h, Half-inl.h, Half.cpp, bitcasts.h
Move to c10/core:
- Device.h, Device.cpp
- DeviceType.h, DeviceType.cpp
i-am-not-moving-c2-to-c10
Reviewed By: dzhulgakov
Differential Revision: D13498493
fbshipit-source-id: dfcf1c490474a12ab950c72ca686b8ad86428f63
Summary:
Fix submitted by huntzhan in https://github.com/pytorch/cppdocs/pull/4. The source is in this repo so the patch has to be applied here.
soumith ezyang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15701
Differential Revision: D13591302
Pulled By: goldsborough
fbshipit-source-id: 796957696fd560a9c5fb42265d7b2d018abaebe3
Summary:
There was a typo in C++ docs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15527
Differential Revision: D13547858
Pulled By: soumith
fbshipit-source-id: 1f5250206ca6e13b1b1443869b1e1c837a756cb5
Summary:
Current documentation example doesn't compile. This fixes the doc so the example works.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15372
Differential Revision: D13522167
Pulled By: goldsborough
fbshipit-source-id: 5171a5f8e165eafabd9d1a28d23020bf2655f38b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14248
This diff also introduces a horrifying hack to override CUDA's DeviceGuardImpl
with a HIPGuardImplMasqueradingAsCUDA, to accommodate PyTorch's current
behavior of pretending CUDA is HIP when you build with ROCm enabled.
Reviewed By: bddppq
Differential Revision: D13145293
fbshipit-source-id: ee0e207b6fd132f0d435512957424a002d588f02
Summary:
pytorch_theme.css is no longer necessary for the cpp or html docs site build. The new theme styles are located at https://github.com/pytorch/pytorch_sphinx_theme. The Lato font is also no longer used in the new theme.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14779
Differential Revision: D13356125
Pulled By: ezyang
fbshipit-source-id: c7635eb7512c7dcaddb9cad596ab3dbc96480144
Summary:
This reverts commit 37cb357d8da3427900b8f72f6de7e77b77dcdbae.
Try to see if it unbreaks master
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14082
Differential Revision: D13095888
Pulled By: bddppq
fbshipit-source-id: c728f80f233b4d9daaf65f43202d8104651029a9
Summary:
Deletes the `OptionsGuard` from ATen. This works towards the goal of reworking `DefaultTensorOptions`. `OptionsGuard` is troublesome because it relies on mutating thread local state. This PR fixes those code locations and then deletes the `OptionsGuard`.
ezyang gchanan
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13738
Differential Revision: D13000962
Pulled By: goldsborough
fbshipit-source-id: c8143ee75070c2280f5fd1d9af86f8ce14279b72
Summary:
In TorchScript and C++ extensions we currently advocate a mix of `torch::` and `at::` namespace usage. In the C++ frontend I had instead exported all symbols from `at::` and some from `c10::` into the `torch::` namespace. This is far, far easier for users to understand, and also avoid bugs around creating tensors vs. variables. The same should from now on be true for the TorchScript C++ API (for running and loading models) and all C++ extensions.
Note that since we're just talking about typedefs, this change does not break any existing code.
Once this lands I will update stuff in `pytorch/tutorials` too.
zdevito ezyang gchanan
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13523
Differential Revision: D12942787
Pulled By: goldsborough
fbshipit-source-id: 76058936bd8707b33d9e5bbc2d0705fc3d820763
Summary:
Removes aten/README.md (and some other files dating from when aten was its own repo), and moves the not outdated documentation into a note called "Tensor Basics". I updated the text lightly but did not overhaul the content.
CC zdevito
ezyang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13601
Differential Revision: D12934480
Pulled By: goldsborough
fbshipit-source-id: 012a4267b4d6f27e4d5d55d6fc66363ddca10b41
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12792
This is a follow up diff after D10238910.
Only non-codemod change is the removal of ATen/Error.h and ATen/core/Error.h. Other files are basically changing the inclusion path + clang format for inclusion order.
Reviewed By: bddppq
Differential Revision: D10437824
fbshipit-source-id: 7f885f80ab5827468d1351cfb2765d0e3f555a69
Summary:
The C++ docs for `at::Tensor` are currently broken because we moved the place `Tensor.h` gets generated to without updating our docs. I use `GEN_TO_SOURCE=1` when generating ATen files, so the `Tensor.h` file should end up in `aten/src/ATen/core/Tensor.h` if i understand correctly.
dzhulgakov ezyang gchanan
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12469
Differential Revision: D10248521
Pulled By: goldsborough
fbshipit-source-id: 8d8a11f0f6e2703b8d767dbc523fc34a4374f345
Summary:
We now have a proper download link for libtorch.
ezyang soumith
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12263
Differential Revision: D10149216
Pulled By: goldsborough
fbshipit-source-id: e9caefed1c7f8e25d7623d72c8548bfdb6114329
Summary:
We're waiting for the libtorch links to show up on the website. I had a fake link in the docs so far which is misleading. This PR changes it to a temporary markdown file until the web people fix the site tomorrow.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12212
Differential Revision: D10121872
Pulled By: goldsborough
fbshipit-source-id: f1bd1315f7333b9168e99983f3f6b679c9b0c52a
Summary:
I wrote some high level docs for the larger PyTorch C++ universe and the C++ frontend specifically. Happy for reviews, but let's please also land this ASAP so I can point users at something that looks more ready baked than the C++ docs landing page (https://pytorch.org/cppdocs) does right now.
ezyang soumith
CC ebetica
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12079
Differential Revision: D10080785
Pulled By: goldsborough
fbshipit-source-id: 3028de41373f307468eb1e3802aa27871c93b2e3
Summary:
Since we're making parts of the JIT public as part of loading script modules, they should be on the cppdocs website.
Orthogonal: We decided not to export things like `IValue` into the `torch` namespace, so `RegisterOperators` shouldn't be there either.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11712
Differential Revision: D9837578
Pulled By: goldsborough
fbshipit-source-id: 4c06d2fa9dd4b4216951f27424c2ce795febab9c
Summary:
1. Document the Sequential module in the C++ API at a high, why-does-this-exist, and low, how-to-use, level
2. Change the Sequential tests to be in a style that makes them easier to convert to gtest. No code changes.
ebetica ezyang apaszke
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11648
Differential Revision: D9834526
Pulled By: goldsborough
fbshipit-source-id: 39f2f5c6cbbf8ed5a1b69986978c8ef127036de1
Summary:
This PR cleans up the `at::Tensor` class by removing all methods that start with an underscore in favor of functions in the `at::` namespace. This greatly cleans up the `Tensor` class and makes it clearer what is the public and non-public API.
For this I changed `native_functions.yaml` and `Declarations.cwrap` to make all underscore methods `variant: function` (or add such a statement to begin with), and then fixed all code locations using the underscore methods.
ezyang colesbury gchanan
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11152
Differential Revision: D9683607
Pulled By: goldsborough
fbshipit-source-id: 97f869f788fa56639c05a439e2a33be49f10f543
Summary:
1. Add documentation to Linear and improve documentation for RNNs
2. Fix preprocessing in C++ docs by adding correct include path
3. Make myself and ebetica codeowner of docs/cpp to improve development speed
ebetica ezyang soumith
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11313
Differential Revision: D9683615
Pulled By: goldsborough
fbshipit-source-id: 84ea32f9ea6b4060744aabbf5db368776a30f0b5
Summary:
I'm setting up an automatic sync job for cppdocs and need two fixes to the cpp docs config:
1. Right now the cppdocs use the `torch` package to figure out the version. For C++ docs all I really need from the built package are the generated Tensor.h and Functions.h files. I can actually generate those directly via `aten/src/ATen/gen.py`, so I can skip building PyTorch altogether and save 10 minutes in the sync job! For this I need to avoid using the torch package in the docs.
2. Internal proxy issues prevent using the git link for sphinx_rtd_theme. We can just use the pip package for the cppdocs (not for the normal PyTorch docs)
soumith ezyang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11300
Differential Revision: D9667193
Pulled By: goldsborough
fbshipit-source-id: 5567e0b3d3bdce03f5856babdb4ff76bcee91846
