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torch-mlir/pyproject.toml

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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
[build-system]
requires = [
"setuptools>=42",
"wheel",
# There is no fundamental reason to pin this CMake version, beyond
# build stability.
"cmake==3.22.2",
"ninja==1.10.2",
"packaging",
# Version 2.7.0 excluded: https://github.com/pybind/pybind11/issues/3136
"pybind11>=2.6.0,!=2.7.0",
"PyYAML",
# The torch-mlir CMake build requires numpy and torch to be installed.
# Further, the setup.py will pin the version selected here into built
# artifacts.
# TODO: Come up with a better way to pin the version.
"numpy",
Minor buildsystem fixes (#778) Sets up auto-pinning of latest torch-nightly
2022-04-22 06:53:00 +08:00
"torch>=1.12.0.dev20220420",
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
]
build-backend = "setuptools.build_meta"