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
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/36494
Make name consistent with op. Since we have batch_norm2d and batch_norm3d ops
Test Plan:
python test/quantization/test_quantized.py test_batch_norm2d
Imported from OSS
Differential Revision: D21008831
fbshipit-source-id: f81ca71a331d5620fd6a3f6175020a30f2e2566b
Summary:
as title, for bringing up the quantized video model. Will add the batch_norm_relu test in another PR.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34702
Differential Revision: D20436092
Pulled By: lly-zero-one
fbshipit-source-id: 116bd306f7880bfd763d8575654fbd6c92818338
