[pre-commit.ci] pre-commit autoupdate #1163
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#102) * Update API interface for amax and amin and add tests for them. Also fix some build warnings. * Remove build warning * Update code based on review comments * Address review comments --------- Signed-off-by: monah <[email protected]>
* Add the method parameter to cunumeric.convolve * Address review comments * Make the not-implemented message more accurate
* Port and test squeeze. * Add const for squeeze as a const member function
- Uploads nightly packages to anaconda.
* handle different np2 exception type * fix should_wrap * checkpoint * use implicit callable check unconditionally * restore RandomState test * remove deprecated 0d test -- align with np2 * handle overflow errors * fix up nonzero 0d error tests * follow np2 behavior for overflow
* Port and test where. * Address comments.
* Removed param dependencies-workflow. * Reintroduce artifact_workflow in versions.json.
Ignoring known failures.
* update to public nv theme * bump legate hash * quick fix to install nv-theme
* cuNumeric -> cuPyNumeric * restore .dockerigore link * update legate commit hash
* Renaming * Update .github/ISSUE_TEMPLATE/bug_report.yml --------- Co-authored-by: Manolis Papadakis <[email protected]>
* enhance clip * Update test_clip.py
* enhance for random --------- Co-authored-by: Jacob Faibussowitsch <[email protected]>
* addind TorchSWE into the docs * addind TorchSWE into the docs * updating TorchSWE notebook * updating some text in TorchSWE notebook * updating some text in TorchSWE notebook * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> * Update docs/cupynumeric/source/examples/torchswe.ipynb Co-authored-by: Manolis Papadakis <[email protected]> --------- Co-authored-by: Manolis Papadakis <[email protected]>
* Initial pass * todos.rst * Address comments * Fix warnings * Update product positioning * Add supported platform info * Move all Jupyter instructions to Legate * more warnings * Remove todos --------- Co-authored-by: Manolis Papadakis <[email protected]>
Ignoring known issues.
This is due to limited availability of ARM64 GPU runners for the project.
Also ... - Use [email protected]. - Use a cpu16 machine to build cupynumeric even when building docs.
* Update for removal of LEGATE_NEED_* envvars * Update to latest legate * add channel for UCC 1.4.0 * one more ucc140 * typo --------- Co-authored-by: Marcin Zalewski <[email protected]>
This switches to using artifact upload/download to pass the wheel from build to test jobs. It removes some debug and pins the action being used for inter-repository artifact download to the v9 release SHA.
Add some utility scripts to use the official `gh` CLI to look up the run ID and download artifacts. This enables us to migrate away from the third-party action and offers a base of capabilities as we split the conda packages and pip wheels. This is inspired by and shamelessly takes from https://github.com/rapidsai/gha-tools/, specifically `rapids-download-from-github` and `rapids-github-run-id` adapting them for these projects.
The version file is ironically causing the version string to be incorrect. Issue #666 documents what should be done to fix this correctly. In the short term I need a clean release version for the upcoming initial wheels release hence overriding it. Longer term we should override in CI anyway on the release branch to switch to a post release versioning scheme in release branches.
Push source code to nv-legate/cupynumeric as part of the nightly CI run. Tracking issue: LLRDO-335.
Get the Legate SHA from the `cmake/versions.cmake` file for the wheels, this is the same place that the conda-based CI/build gets the SHA from creating a single source of truth. Also bump the legate wheel dependency to `25.5.*` for `main`.
The git SHA and build number should be at the end of the build string, the build number is especially important in assisting the solver in resolving the latest version that should be installed.
manopapad
requested review from
marcinz,
m3vaz,
sandeepd-nv and
mag1cp1n
as code owners
Enable `sccache` for the wheels and conda builds of the project. This yielded ball park improvements of: - 16-19 minutes down to 3-5 minutes for wheel builds - 28 minutes down to 7 minutes for conda GPU builds - 10-11 minutes down to 4 minutes for conda CPU builds No observed regressions in the tests.
* add special case to handle matmul ufunc * Update cupynumeric/_array/array.py Co-authored-by: Manolis Papadakis <[email protected]> --------- Co-authored-by: Manolis Papadakis <[email protected]>
updates: - [github.com/pre-commit/mirrors-mypy: v1.5.1 → v1.15.0](pre-commit/mirrors-mypy@v1.5.1...v1.15.0) - [github.com/PyCQA/isort: 5.12.0 → 6.0.1](PyCQA/isort@5.12.0...6.0.1) - [github.com/psf/black: 23.9.1 → 25.1.0](psf/black@23.9.1...25.1.0) - [github.com/PyCQA/flake8: 6.1.0 → 7.2.0](PyCQA/flake8@6.1.0...7.2.0) - [github.com/pre-commit/mirrors-clang-format: v16.0.6 → v20.1.0](pre-commit/mirrors-clang-format@v16.0.6...v20.1.0)
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