Summary:
Update pytorch/onnx docs for new export API args:
Use external data format and Training args.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39802
Reviewed By: hl475
Differential Revision: D22139664
Pulled By: houseroad
fbshipit-source-id: 7d6dcf75129cb88987f8c37b7d9d48ca594c0f38
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/39331
Fixes gh-37590
Adds an extra `make coverage` to document building, which uses the built-in facility in sphinx to check docstring coverage. Also fixes a failure to import `torch/jit/supported_ops.py` which broke the [Torchscript Builtins](https://pytorch.org/docs/stable/jit_builtin_functions.html) page.
This also adds the required `SPHINXOPTS` to turn warnings into error, but this is commented out. Note that since documentation of `torchvision` is merged in here, failures there would cause failures here if this is made active. Some thought might be needed about pinning the torchvision version merged into documentation.
The first commit should fail, since the "ScriptModule" class is commented out. I did that in order to check that a CI failure is properly reported.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/38244
Differential Revision: D21640589
Pulled By: ezyang
fbshipit-source-id: 1e240d81669b5f21404d596de4a27d192dc9fd8a
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:
See NumPy's division documentation here: https://numpy.org/doc/1.18/reference/generated/numpy.divide.html#numpy.divide.
True division is the same as PyTorch's default division except when both inputs are integer or bool tensors. In the latter case the inputs are (conceptually) cast to the default floating type before the division is performed.
The function is implemented for dense and sparse tensors and supports exporting to ONNX from PyTorch's eager mode or JIT traces. The function is inherently incompatible with exporting to ONNX via JIT script, and is another datapoint suggesting we should deprecate exporting scripted graphs to ONNX.
Tests are added for the type promotion, named tensor, and ONNX export behavior.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34236
Reviewed By: houseroad
Differential Revision: D20334087
Pulled By: mruberry
fbshipit-source-id: 83d00d886f46f713215d7d9e02ffd043164c57f1
Summary:
* New ops supported for exporting.
* Updates on support for tensor indexing and dynamic list of tensors.
* lara-hdr, spandantiwari Should we also include updates on torchvision support in this page?
cc houseroad, neginraoof Please review if I have missed anything.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32805
Reviewed By: hl475
Differential Revision: D19635699
Pulled By: houseroad
fbshipit-source-id: b6be4fce641f852dcbceed20b4433f4037d8024a
Summary:
This is still work in progress.
There are several more items to add to complete this doc, including
- [x] LHS indexing, index assignments.
- [x] Tensor List.
- [x] ~Shape/Type propagation.~
- [x] FAQs
Please review and share your thoughts, feel free to add anything that you think should be included as well. houseroad spandantiwari lara-hdr neginraoof
Pull Request resolved: https://github.com/pytorch/pytorch/pull/23185
Differential Revision: D16459647
Pulled By: houseroad
fbshipit-source-id: b401c005f848d957541ba3b00e00c93ac2f4609b
Summary:
Since we don't need `torch.autograd.Variable` anymore, I removed `torch.autograd.Variable` from `onnx.rst`.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10810
Differential Revision: D9500960
Pulled By: zou3519
fbshipit-source-id: 1bc820734c96a8c7cb5d804e6d51a95018db8e7f
* ONNX: export sum, prod, sqrt improve log_softmax and fix a typo in doc.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
* Add new exported op to doc.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
* Double quotes.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
* Update trace log of log_softmax.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
* Improve export when dim is None and axes_i should be a list of ints.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
* Fix prod when no dim given.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
* Update line ends in test expected file.
Signed-off-by: HE, Tao <sighingnow@gmail.com>
