Summary:
Just run `./tools/clang_format.py --verbose` and `git commit --all`
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35969
Test Plan: CI
Differential Revision: D20845626
Pulled By: malfet
fbshipit-source-id: 0ae9a91dfa33417a021e7e9d233baba4188daf81
Summary:
This enables the serialization part of this change (the deserialization stuff is already landed #33255)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35741
Pulled By: driazati
Differential Revision: D20758124
fbshipit-source-id: e2cdefa99c3bec991491e5e967e7f1661ca7ffd9
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/35115
This commit runs the newly added tools/clang_format.py on the JIT
codebase and includes all of the formatting changes thus produced.
Testing:
Ran the script, CI.
Test Plan: Imported from OSS
Reviewed By: eellison
Differential Revision: D20568523
Pulled By: SplitInfinity
fbshipit-source-id: e09bdb982ccf090eecfb7c7b461b8d0681eef82b
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34515
Once upon a time we thought this was necessary. In reality it is not, so
removing it.
For backcompat, our public interface (defined in `api/`) still has
typedefs to the old `script::` names.
There was only one collision: `Pass` as a `Stmt` and `Pass` as a graph
transform. I renamed one of them.
Test Plan: Imported from OSS
Differential Revision: D20353503
Pulled By: suo
fbshipit-source-id: 48bb911ce75120a8c9e0c6fb65262ef775dfba93
Summary:
Stacked PRs
* #33474 - [jit] Remove list specializations from pickler
* **#33255 - [jit] Add type tags to lists/dicts in pickle**
This adds a global call to `torch.jit._pickle.restore_type_tags` for
lists and dicts so that we can preserve their types after serialization.
](https://our.intern.facebook.com/intern/diff/20346780/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33255
Pulled By: driazati
Differential Revision: D20346780
fbshipit-source-id: c8534954ef4adb2e3c880401acbee30cd284f3db
Summary:
Stacked PRs
* #33474 - [jit] Remove list specializations from pickler
* **#33255 - [jit] Add type tags to lists/dicts in pickle**
This adds a global call to `torch.jit._pickle.restore_type_tags` for
lists and dicts so that we can preserve their types after serialization.
](https://our.intern.facebook.com/intern/diff/19868637/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33255
Pulled By: driazati
Reviewed By: xman1979, Tianshu-Bao
Differential Revision: D19868637
fbshipit-source-id: 2f1826e6679a786ca209198690269f399a542c04
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28129
The previous PR in the stack removed the need to order classes/functions
or have correct import statements. This resolved circular depedency issues
that can arise when class constructors like ModuleList put new instances
of themselves in a common namespace.
This PR changes our export format to no longer produce this information.
By doing so we can make the logic signficantly simpler, since we just
keep track of an individual PythonPrint object per file.
Notes:
* PythonPrint was changed to manage its own stream/list of ranges. It
was doing this anyway internally, this just makes the API more clear.
* Since we are changing the serialization format, I also removed op_version_set.
It is now replaced with the VERSION number that written in the zip archive.
This further simplifies the code emission process.
* A test of op_version_set was removed since there is no longer any behavior
to test.
Test Plan: Imported from OSS
Differential Revision: D17961610
Pulled By: zdevito
fbshipit-source-id: ada362c4ca34d05393a1a7e799c94785ab9d9825
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26758
This PR changes the order in which we import classes and functions so
that is is no longer necessary for them to defined in order in a file,
or for there to be proper import statements in the exported file.
Actually importing a function/class now is driven by the need to resolve
the entity during unpickling, type resolution, or value resolution.
While this should allow significant simplification to the code that
serializes classes, this work has not been done yet in order to avoid
inevitable forward compat issues in the transition period.
Notes:
* Individual functions have been replaced with a SourceImporter object
that exposes a resolveType method. This method loads the type if
it has not been loaded yet, potentially parsing (but not loading)
the file it exists in if that file hasn't been parsed yet.
* Some legacy functionality needed to be added as a method to this object
since the old format still used some of this logic for class resolution.
Test Plan: Imported from OSS
Differential Revision: D17558989
Pulled By: zdevito
fbshipit-source-id: 7eae3470bcbd388c4de463e3462d527776ed46c6
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24801
This is to fix the ODR-violations in fbcode static builds, which have been broken for several months.
This PR is unfortunately quite large, but the changes are only mechanical:
1. Tests defined in header files -> tests defined in cpp files
2. Remove the `torch::jit::testing` namespace -> `torch::jit`.
3. Single `test.h` file that aggregates all tests.
4. Separate out files for gtest and python versions of the tests instead of using a build flag
5. Add a readme for how to add a new test, and explaining a bit about why the cpp tests are the way they are.
Test Plan: Imported from OSS
Differential Revision: D16878605
Pulled By: suo
fbshipit-source-id: 27b5c077dadd990a5f74e25d01731f9c1f491603
