Summary:
This FAQ has a section for CUDA OOMs where there are lots of don'ts. This limits modeling solution. Deep nets can blow up memory due to output caching during training.
It's a known problem with a known solution: to trade-off compute for memory via checkpointing.
FAQ should mention it.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/62709
Reviewed By: nairbv
Differential Revision: D30103326
Pulled By: ezyang
fbshipit-source-id: 3a8b465a7fbe19aae88f83cc50fe82ebafcb56c9
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/56528
Tried to search across internal and external usage of DataLoader. People haven't started to use `generator` for `DataLoader`.
Test Plan: Imported from OSS
Reviewed By: albanD
Differential Revision: D27908487
Pulled By: ejguan
fbshipit-source-id: 14c83ed40d4ba4dc988b121968a78c2732d8eb93
Summary:
xref gh-32838, gh-34032
This is a major refactor of parts of the documentation to split it up using sphinx's `autosummary` feature which will build out `autofuction` and `autoclass` stub files and link to them. The end result is that the top module pages like torch.nn.rst and torch.rst are now more like table-of-contents to the actual single-class or single-function documentations pages.
Along the way, I modified many of the docstrings to eliminate sphinx warnings when building. I think the only thing I changed from a non-documentation perspective is to add names to `__all__` when adding them to `globals()` in `torch.__init__.py`
I do not know the CI system: are the documentation build artifacts available after the build, so reviewers can preview before merging?
Pull Request resolved: https://github.com/pytorch/pytorch/pull/37419
Differential Revision: D21337640
Pulled By: ezyang
fbshipit-source-id: d4ad198780c3ae7a96a9f22651e00ff2d31a0c0f
* Add a FAQ, for now just 'out of memory' advice.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
* Updates based on comments.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
* minor copyedit
