Summary:
Fixes https://github.com/pytorch/pytorch/issues/72778
TODO
- [x] Waiting for a conclusion from discussion in the issue.
- [x] Still bugs in handling misplaced args. Need a re-design to cover all corner cases.
TODO changes
- [x] Put deprecated signature to the second.
- [x] Change to kwargs, positional deprecated
- [x] `DeprecationWarning` add comment on why not use it
- [x] Remove unnecessary comments.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/72780
Reviewed By: george-qi
Differential Revision: D34398656
Pulled By: albanD
fbshipit-source-id: e8f2708e3dfd925ff354e098a66905f9775f4e0a
(cherry picked from commit 7f8eaf05fc48b333d22a07af57a7024b8b9ec6bf)
Summary:
Pull Request resolved: https://github.com/pytorch/torchrec/pull/39
Pull Request resolved: https://github.com/facebookresearch/torchrec/pull/6
This makes it so that shared parameters get their own entry in `named_parameters`.
More broadly, this makes it so that
```
params_and_buffers = {**mod.named_named_parameters(remove_duplicate=False), **mod.named_buffers(remove_duplicate=False)}
_stateless.functional_call(mod, params_and_buffers, args, kwargs)
```
is identical to calling the original module's forwards pass.
cc pietern mrshenli pritamdamania87 zhaojuanmao satgera rohan-varma gqchen aazzolini osalpekar jiayisuse SciPioneer H-Huang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/71542
Reviewed By: jbschlosser, albanD
Differential Revision: D33716716
Pulled By: Chillee
fbshipit-source-id: ff1ed9980bd1a3f7ebaf695ee5e401202b543213
(cherry picked from commit d6e3ad3cd0)
Summary:
In Python 3, we can call `super()` without any arguments.
If I understand correctly, Python 2 is no longer supported by PyTorch, so we can change the documentation to be Python-3 only :)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/65748
Reviewed By: saketh-are
Differential Revision: D31246055
Pulled By: albanD
fbshipit-source-id: 3980def1a556d4bdfa391ea61cb2a65efa20df79
Summary:
Fixes https://github.com/pytorch/pytorch/issues/62094
Introduces functionality for adding arbitrary objects to module state_dicts. To take advantage of this, the following functions can be defined on a module:
* `get_extra_state(self) -> dict` - Returns a dict defining any extra state this module wants to save
* `set_extra_state(self, state)` - Subsumes the given state within the module
In the details, a sub-dictionary is stored in the state_dict under the key `_extra_state` for each module that requires extra state.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/62976
Reviewed By: heitorschueroff
Differential Revision: D30518657
Pulled By: jbschlosser
fbshipit-source-id: 5fb35ab8e3d36f35e3e96dcd4498f8c917d1f386
Summary:
Sphinx 4.x is out, but it seems that requires many more changes to
adopt. So instead use the latest version of 3.x, which includes
several nice features.
* Add some noindex directives to deal with warnings that would otherwise
be triggered by this change due to conflicts between the docstrings
declaring a function and the autodoc extension declaring the
same function.
* Update distributions.utils.lazy_property to make it look like a
regular property when sphinx autodoc inspects classes.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/61601
Reviewed By: ejguan
Differential Revision: D29801876
Pulled By: albanD
fbshipit-source-id: 544d2434a15ceb77bff236e934dbd8e4dbd9d160
Summary:
Fixes https://github.com/pytorch/pytorch/issues/61242
Previous code was wrongly checking if a tensor is a buffer in a module by comparing values; fix compares names instead.
Docs need some updating as well- current plan is to bump that to a separate PR, but I'm happy to do it here as well if preferred.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/61429
Reviewed By: gchanan
Differential Revision: D29712341
Pulled By: jbschlosser
fbshipit-source-id: 41f29ab746505e60f13de42a9053a6770a3aac22
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/60517
This is to fix the module support on lazymodulefixin on the bug issue #60132
Check the link: https://github.com/pytorch/pytorch/issues/60132
We will have to update lazy_extension given the dependency on module.py and update the unit test as well.
Test Plan:
Unit test passes
torchrec test passes
Reviewed By: albanD
Differential Revision: D29274068
fbshipit-source-id: 1c20f7f0556e08dc1941457ed20c290868346980
Summary:
There is a very common error when writing docs: One forgets to write a matching `` ` ``, and something like ``:attr:`x`` is rendered in the docs. This PR fixes most (all?) of these errors (and a few others).
I found these running ``grep -r ">[^#<][^<]*\`"`` on the `docs/build/html/generated` folder. The regex finds an HTML tag that does not start with `#` (as python comments in example code may contain backticks) and that contains a backtick in the rendered HTML.
This regex has not given any false positive in the current codebase, so I am inclined to suggest that we should add this check to the CI. Would this be possible / reasonable / easy to do malfet ?
Pull Request resolved: https://github.com/pytorch/pytorch/pull/60474
Reviewed By: mrshenli
Differential Revision: D29309633
Pulled By: albanD
fbshipit-source-id: 9621e0e9f87590cea060dd084fa367442b6bd046
Summary:
Adds a note explaining the difference between several often conflated mechanisms in the autograd note
Also adds a link to this note from the docs in `grad_mode` and `nn.module`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/58513
Reviewed By: gchanan
Differential Revision: D28651129
Pulled By: soulitzer
fbshipit-source-id: af9eb1749b641fc1b632815634eea36bf7979156
Summary:
This adds the methods `Tensor.cfloat()` and `Tensor.cdouble()`.
I was not able to find the tests for `.float()` functions. I'd be happy to add similar tests for these functions once someone points me to them.
Fixes https://github.com/pytorch/pytorch/issues/56014
Pull Request resolved: https://github.com/pytorch/pytorch/pull/58137
Reviewed By: ejguan
Differential Revision: D28412288
Pulled By: anjali411
fbshipit-source-id: ff3653cb3516bcb3d26a97b9ec3d314f1f42f83d
Summary:
Fixes https://github.com/pytorch/pytorch/issues/56243 by adding a note to mutating functions not following the trailing `_` convention in `torch/nn/modules/module.py`
I can also raise separate PRs for other files, if needed
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56877
Reviewed By: ezyang
Differential Revision: D28008856
Pulled By: jbschlosser
fbshipit-source-id: 63bfca0df05e49fceadd3167b1427dcb5542206a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/54812
Needed for quantization since different attribute might refer to the same module instance
Test Plan: Imported from OSS
Reviewed By: vkuzo
Differential Revision: D27408376
fbshipit-source-id: cada85c4a1772d3dd9502c3f6f9a56d690d527e7
