Beta10 build #128
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Beta10 build #128
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Codecov Report
@@ Coverage Diff @@
## master #128 +/- ##
==========================================
- Coverage 51.45% 0.00% -51.46%
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Files 19 19
Lines 1240 1240
Branches 329 329
==========================================
- Hits 638 0 -638
- Misses 340 1240 +900
+ Partials 262 0 -262
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antonwolfy
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Feb 18, 2025
There is currently no way to install dpnp with any numpy version > 2.0, because - there is no such version available on `https://software.repos.intel.com/python/conda/` channel - numpy from `conda-forge` channel depends on BLAS libraries which has a runtime dependency `mkl < 2025.0` (since BLAS packages with build number 29) There is draft PR ([gh-128](conda-forge/blas-feedstock#128)) to build BLAS with MKL version 2025.0, but it is blocked due to MKL issue ([gh-83](conda-forge/intel_repack-feedstock#83)). Meanwhile there was conda-forge patch ([gh-959](conda-forge/conda-forge-repodata-patches-feedstock#959)) merged recently to add `mkl < 2025.0` constraint to already published BLAS packaged on `conda-forge` with older build number. DPNP package can't fulfill the requirement `mkl < 2025.0`, because it would mandate dpnp build pinning with DPC++ compiler 2024.2. While there were non-backward compatible changes between 2024.2 and 2025.x versions, that is dpnp built with 2024.2 compiler can not be installed with any DPC++ RT 2025.x version, but it is required since targeted by the upcoming release. Thus the PR proposes to temporary disable or workaround all scenario where it is need to tests with numpy from `conda-forge` channel, including tests workflows for python 3.13 (per PR trigger and nightly) and workflow for testing of oneMath interfaces with the latest numpy. The changes has to be rolled back once the above issues are resolved.
github-actions bot
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that referenced
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Feb 18, 2025
There is currently no way to install dpnp with any numpy version > 2.0, because - there is no such version available on `https://software.repos.intel.com/python/conda/` channel - numpy from `conda-forge` channel depends on BLAS libraries which has a runtime dependency `mkl < 2025.0` (since BLAS packages with build number 29) There is draft PR ([gh-128](conda-forge/blas-feedstock#128)) to build BLAS with MKL version 2025.0, but it is blocked due to MKL issue ([gh-83](conda-forge/intel_repack-feedstock#83)). Meanwhile there was conda-forge patch ([gh-959](conda-forge/conda-forge-repodata-patches-feedstock#959)) merged recently to add `mkl < 2025.0` constraint to already published BLAS packaged on `conda-forge` with older build number. DPNP package can't fulfill the requirement `mkl < 2025.0`, because it would mandate dpnp build pinning with DPC++ compiler 2024.2. While there were non-backward compatible changes between 2024.2 and 2025.x versions, that is dpnp built with 2024.2 compiler can not be installed with any DPC++ RT 2025.x version, but it is required since targeted by the upcoming release. Thus the PR proposes to temporary disable or workaround all scenario where it is need to tests with numpy from `conda-forge` channel, including tests workflows for python 3.13 (per PR trigger and nightly) and workflow for testing of oneMath interfaces with the latest numpy. The changes has to be rolled back once the above issues are resolved. b09533e
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