Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27515
Resoving variable names using the local activation frames does not work
when using recursive scripting, but our current code tries to do it
(incorrectly) anyway. The reason it works is only because the script
call is in the same local frame as the definition. This will not be
true in practice and makes it seem like the API works in more cases
than it really does. This forces us to always use closure-based annotations,
documents it, and it fixes the tests so that they still pass.
Test Plan: Imported from OSS
Differential Revision: D17803403
Pulled By: zdevito
fbshipit-source-id: e172559c655b05f0acf96c34f5bdc849f4e09ce2
Summary:
Makes c10::Dict Ordered and bins binds the OrderedDict() and dict() constructor into torchscript. For the case of the empty constructor dict() i typed it as [str, Tensor] because:
• we're almost dropping support for python 2, at which point all dicts are ordered
• then it's more conventional to write x : Dict[int, int] = {} which is already supported
• It is possible to construct an arbitrarily typed empty OrderedDict through
OrderedDict(torch.jit.annotate(List[Tuple[key, value]], [])
We could consider dropping the no inputs aten::dict constructor since then the types would be more explicit.
This replaces https://github.com/pytorch/pytorch/issues/26170 and https://github.com/pytorch/pytorch/pull/26372 b/c ghstack was poisioned and i had to resubmit
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26465
Differential Revision: D17481604
Pulled By: eellison
fbshipit-source-id: d2d49795a518c3489881afac45d070e5262c5849
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25059
This fixes the cases where a type annotated with optional cannot
be conditionally assigned to none:
```
x : Optional[int] = 4
if ...:
x = None
```
Test Plan: Imported from OSS
Differential Revision: D16975166
Pulled By: zdevito
fbshipit-source-id: 5a7a81224d08b9447e1f4d957fcd882091e02f32
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24989
This fixes the cases where a type annotated with optional cannot
be conditionally assigned to none:
```
x : Optional[int] = 4
if ...:
x = None
```
Test Plan: Imported from OSS
Differential Revision: D16949314
Pulled By: zdevito
fbshipit-source-id: 7f63d88b30a3f5b024c2a539aa74967c9202af00
Summary:
Resolves https://github.com/pytorch/lockdown/issues/18
This implements NamedTuple by taking advantage of the existing `names` field in `TupleType`.
TODO: This currently doesn't retain the NamedTuple-ness through serialization. Discussed with suo offline, we can probably make a way to define an anonymous NamedTuple in script (e.g. `NamedTuple('Foo', [('a', int), ('b', float), ('c', List[float])])` and serialize that
TODO: implement support for calling the constructor with kwargs
Pull Request resolved: https://github.com/pytorch/pytorch/pull/21428
Differential Revision: D15741564
Pulled By: jamesr66a
fbshipit-source-id: c077cbcea1880675ca6deb340a9ec78f824a136c
Summary:
Resolves https://github.com/pytorch/lockdown/issues/51
This adds support for converting simple f-string literals to calls to `string.format()`. It does not support conversion specifiers or format strings.
This also does not support the string parser frontend, since that implementation would be more involved and likely would require modifying our TorchScript AST
Pull Request resolved: https://github.com/pytorch/pytorch/pull/21037
Reviewed By: zdevito
Differential Revision: D15541183
Pulled By: jamesr66a
fbshipit-source-id: ae9df85e73f646d7219c1349f5b7683becbcef20
