Commit Graph

11 Commits

Author SHA1 Message Date
Aaron Orenstein
f2cfe8b59f PEP585 update - mostly toplevels (#145178)
See #145101 for details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145178
Approved by: https://github.com/bobrenjc93
2025-01-22 02:21:14 +00:00
bobrenjc93
80b756ed91 remove allow-untyped-defs from torch/jit/_pickle.py (#144625)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144625
Approved by: https://github.com/Skylion007
2025-01-12 00:06:25 +00:00
Aaron Orenstein
038b927590 Flip default value for mypy disallow_untyped_defs [7/11] (#127844)
See #127836 for details.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/127844
Approved by: https://github.com/oulgen
ghstack dependencies: #127842, #127843
2024-06-08 18:49:45 +00:00
Edward Z. Yang
3bf922a6ce Apply UFMT to low traffic torch modules (#106249)
Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/106249
Approved by: https://github.com/Skylion007
2023-07-29 23:37:30 +00:00
davidriazati
23b2fba79a [jit] Add type tags to lists/dicts in pickle (#33255)
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
2020-03-10 19:17:01 -07:00
Leah Dickstein
c5e822b7bb Back out "[jit] Add type tags to lists/dicts in pickle" (#34406)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34406

Pull Request resolved: https://github.com/pytorch/pytorch/pull/34405

Original commit changeset: 2f1826e6679a

Test Plan: reverting, see S197156

Reviewed By: akyrola, volkhin

Differential Revision: D20317456

fbshipit-source-id: 89298a9c022edba1d54bcdc7541804cb919e33f5
2020-03-06 20:02:16 -08:00
davidriazati
99e211e661 [jit] Add type tags to lists/dicts in pickle (#33255)
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
2020-03-03 16:48:21 -08:00
davidriazati
00d0ddb140 Add all list specializations to pickler (#20191)
Summary:
TensorList, DoubleList, and BoolList were missing from the pickler, so
this adds them.

As a follow up a lot of the code for these could be templated and cut
down

](https://our.intern.facebook.com/intern/diff/15299106/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/20191

Pulled By: driazati

Differential Revision: D15299106

fbshipit-source-id: f10c0c9af9d60a6b7fb8d93cea9f550b1a7e2415
2019-05-10 17:14:42 -07:00
davidriazati
4294dba981 Misc pickler improvements (#19638)
Summary:
Stack from [ghstack](https://github.com/ezyang/ghstack):
* **#19638 [jit] Serialize attribute module as torch.jit._pickle**

* use `torch.jit._pickle` as the module for globals in the pickle program. Pickle will try to resolve these to the actual functions in `torch.jit._pickle.py` automatically (I believe this can also be overridden to point to whatever functions you want). This means that `pickle.load("my_model/attributes.pkl")` will work instead of having to use a custom `pickle.Unpickler`
* use `REDUCE` opcodes instead of `BUILD` to make use of the last bullet
* use a union in the unpickler to support globals better (+ any future metadata we might need that can't be stored in an `IValue`), this makes some of the code around `IntList`s clearer and lets us get rid of any lookbehind for opcodes
* pickle things as a tuple instead of a list (an immutable result is more semantically correct)](https://our.intern.facebook.com/intern/diff/15111203/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19638

Pulled By: driazati

Differential Revision: D15111203

fbshipit-source-id: 526c6c2b63a48eb1cba1c658045a7809730070dd
2019-04-29 13:45:10 -07:00
Edward Yang
173f224570 Turn on F401: Unused import warning. (#18598)
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
2019-03-30 09:01:17 -07:00
David Riazati
24db1667da Attribute serialization improvements (#18188)
Summary:
* adds attributes to `ScriptModule.__getattr__` so they can be accessed in Python after re-importing
* full support for all the possible values for an `int64_t`
    * this necessitated a bunch more `pushWhatever` functions, so re-introduced a templated version to cut down on duplicate code
* tests to validate references / value sharing works
* adds `torch.jit.Unpickler` which people can use to de-serialize the pickle files into Python / have a quick reference on how to do this without PyTorch
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18188

Differential Revision: D14527490

Pulled By: driazati

fbshipit-source-id: efd15579cc04aa2e28c4b2c9490d82d849dee559
2019-03-29 19:10:12 -07:00