Commit Graph

8 Commits (7fa31817c55e1f19925703cb5b777ab9965b76ff)

Author SHA1 Message Date
Renato Golin 51bfe25c89
Add PyYaml to requirements.txt (#1174)
Building on a fresh environment + virtualenv + in-tree build errors out
becayse PyYaml isn't installed. Adding to requirements.txt fixes that.

Fixes #1173
2022-08-11 17:59:39 +01:00
powderluv 1adc0f1661
Revert requirements.txt (#930)
https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html

is going to be deprecated via pip 22 since it is not html5.
2022-06-10 15:23:12 -07:00
powderluv 02b917f769
Change to the real PackedParams.h location (#929)
Also update the PyTorch nightly URL
2022-06-10 14:43:52 -07:00
powderluv 4ef61aa27f
Minor buildsystem fixes (#778)
Sets up auto-pinning of latest torch-nightly
2022-04-21 15:53:00 -07:00
powderluv cc3a4a58ef
Add oneshot release snapshot for test/ondemand (#768)
* Add oneshot release snapshot for test/ondemand

Add some build scripts to test new release flow based on IREE.
Wont affect current builds, once this works well we can plumb it
in.

Build with manylinux docker

* Fixes a few issues found when debugging powderluv's setup.

* It is optional to link against Python3_LIBRARIES. Check that and don't do it if they don't exist for this config.
* Clean and auditwheel need to operate on sanitized package names. So "torch_mlir" vs "torch-mlir".
* Adds a pyproject.toml file that pins the build dependencies needed to detect both Torch and Python (the MLIR Python build was failing to detect because Numpy wasn't in the pip venv).
* Commented out auditwheel: These wheels are not PyPi compliant since they weak link to libtorch at runtime. However, they should be fine to deploy to users.
* Adds the --extra-index-url to the pip wheel command, allowing PyTorch to be found.
* Hack setup.py to remove the _mlir_libs dir before building. This keeps back-to-back versions from accumulating in the wheels for subsequent versions. IREE has a more principled way of doing this, but what I have here should work.

Co-authored-by: Stella Laurenzo <stellaraccident@gmail.com>
2022-04-21 02:19:12 -07:00
Sean Silva 140babd952 Add minimal support for Union types.
A recent PyTorch commit made ConstantPad2d call a helper function with a
`Union[int, float]` type annotated. This commit adds minimal support for
representing and dealing with that.
https://github.com/pytorch/pytorch/pull/73287

Changes:
- Adding support for `!torch.union<T1, T2, T3>`/`Torch::UnionType`,
  along with the importer and CAPI code.
- Add support in isValidSubtype for union types.
- Adding a canonicalizer for `torch.derefine` to help simplify some code
  that derefines to a UnionType (this also fixes #664).

There is still more work to do for really supporting UnionType well,
such as canonicalizing UnionType's so that they can be compared with
pointer equality.
2022-03-29 17:45:48 -07:00
Sean Silva 3a96078571 Pin the CI to the latest working PyTorch.
I am investigating the breakage.

Also, fix "externals" rename in setup.py and some cases where we weren't
using `requirements.txt` consistently.

Also, fix a case where the packaging script would get confused due to
".." in the path name.
2022-03-29 15:02:17 -07:00
Stella Laurenzo a23d77100b Set some wheel building optimization options.
* Also adds a requirements.txt and updates docs to reference it versus stringy pip install.
* Adds doc with instructions on creating a wheel.

Fixes #370
2021-10-25 18:30:53 +00:00