torch-mlir/requirements.txt

-f https://download.pytorch.org/whl/nightly/cpu
--pre
torch

numpy
torchvision

# Build requirements.
pybind11
wheel
setuptools
cmake
ninja

# Test Requirements
pillow
Change to the real PackedParams.h location (#929) Also update the PyTorch nightly URL 2022-06-11 05:43:52 +08:00			`-f https://download.pytorch.org/whl/nightly/cpu`
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 2021-10-22 12:18:08 +08:00			`--pre`
Minor buildsystem fixes (#778) Sets up auto-pinning of latest torch-nightly 2022-04-22 06:53:00 +08:00			`torch`
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 2021-10-22 12:18:08 +08:00
			`numpy`
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. 2022-03-30 06:57:31 +08:00			`torchvision`
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 2021-10-22 12:18:08 +08:00
			`# Build requirements.`
			`pybind11`
			`wheel`
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 17:19:12 +08:00			`setuptools`
			`cmake`
			`ninja`

			`# Test Requirements`
			`pillow`