Summary:
Most of this was old cruft left over from special handling of `training` before we had a `bool` type. This makes all modules have a `training` attribute that is true by default and removes all other special handling.
Fixes#26884
](https://our.intern.facebook.com/intern/diff/17728129/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27109
Pulled By: driazati
Differential Revision: D17728129
fbshipit-source-id: 8ddc9fbb07a953dd05529538bfdd01ed88b5cb57
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26734
This PR added the python assignment for interface as an attribute in the
module, it enables any object that implicitly inheriting the specific
interface to be able to be assigned to the interface type in python.
Serialization support for interface/class assignment will be done in the
follow up PR
Test Plan: Imported from OSS
Differential Revision: D17742708
Pulled By: wanchaol
fbshipit-source-id: a0a2d8c74b60ed3fa6c05e1b0d49b7ad1abc670b
Summary:
Add support for nn.ModuleDict in script. This is needed to support torchvision.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/25715
Differential Revision: D17301826
Pulled By: eellison
fbshipit-source-id: 541b5477e980f519a8c3bbb1be91dac227f6d00f
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24259
Follow up to https://github.com/pytorch/pytorch/pull/23886, add the same overload api specified in PEP 484 to module methods to reduce the friction of adding method overloads that was brought up in #23266.
The usage is:
```
torch.jit.overload
def add(self, y: int) -> int: ...
torch.jit.overload
def add(self, y: float) -> float: ...
def add():
...
```
Test Plan: Imported from OSS
Differential Revision: D16921304
Pulled By: eellison
fbshipit-source-id: 784e2f26f7ca9a330a434a603c86b53725c3dc71
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24298
This helps in situations like when you have `__{g,s}etstate__` on an `nn.Module` and you'd like to trace the module, but still preserve the serialization methods to make the module semantically correct
Test Plan: Imported from OSS
Differential Revision: D16799800
Pulled By: jamesr66a
fbshipit-source-id: 91c2957c94c9ec97a486ea376b2a3e3a821270af
Summary:
This PR deletes `WeakScriptModuleProxy` and uses `ScriptModule` directly and moves the recursive script stuff into `torch/jit/_recursive.py`. The first commit is just moving code, the latter 2 contain the actual changes
](https://our.intern.facebook.com/intern/diff/16712340/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23398
Pulled By: driazati
Reviewed By: eellison
Differential Revision: D16712340
fbshipit-source-id: f907efcec59bb2694c079ab655304324c125e9bb
