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[bugfix, enhancement] Address affinity bug by using threadpoolctl/joblib for n_jobs dispatching #4627

[bugfix, enhancement] Address affinity bug by using threadpoolctl/joblib for n_jobs dispatching

[bugfix, enhancement] Address affinity bug by using threadpoolctl/joblib for n_jobs dispatching #4627

Triggered via pull request June 22, 2025 14:21
Status Success
Total duration 1h 2m 57s
Artifacts 9

ci.yml

on: pull_request
Identify oneDAL nightly
3s
Identify oneDAL nightly
LinuxNightly build Python3.12
10m 9s
LinuxNightly build Python3.12
Matrix: sklearn_lnx
Matrix: sklearn_win
Matrix: test_uxl
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4 warnings
LinuxNightly/venv Python3.9_Sklearn1.1
(WARNING) Options '--hash-filenames' and '--preserve-paths' are not supported by '/opt/intel/oneapi/compiler/2025.1/bin/compiler/llvm-cov gcov'. Source files with identical file names may result in incorrect coverage.
LinuxNightly/venv Python3.11_Sklearn1.3
(WARNING) Options '--hash-filenames' and '--preserve-paths' are not supported by '/opt/intel/oneapi/compiler/2025.1/bin/compiler/llvm-cov gcov'. Source files with identical file names may result in incorrect coverage.
WindowsNightly/venv Python3.9_Sklearn1.1
(WARNING) Options '--hash-filenames' and '--preserve-paths' are not supported by 'D:/a/scikit-learn-intelex/scikit-learn-intelex/oneapi/compiler/latest/bin/compiler/llvm-cov gcov'. Source files with identical file names may result in incorrect coverage.
WindowsNightly/venv Python3.11_Sklearn1.3
(WARNING) Options '--hash-filenames' and '--preserve-paths' are not supported by 'D:/a/scikit-learn-intelex/scikit-learn-intelex/oneapi/compiler/latest/bin/compiler/llvm-cov gcov'. Source files with identical file names may result in incorrect coverage.

Artifacts

Produced during runtime
Name Size Digest
coverage_lnx_Py3.10_1.2
31.4 KB
sha256:d7ef8baa4d67a5288001ef4ccc637a1bddd8504bc62f59577e01f25ac1147a8a
coverage_lnx_Py3.11_1.3
210 KB
sha256:8b42809fd7aff040bb36d5968f3d9311a8a721d35066e84e8e70b56f5b410ea5
coverage_lnx_Py3.9_1.1
209 KB
sha256:686b38bab4fb950ce52c50d62fd08df67b25b3dcbc256d4c245a59e86f0d8f7e
coverage_uxl_lnx_cpu
31.5 KB
sha256:9b347c1e7540a5da622cc784ede165256e06bd1ca4cc222de470f758d05c8497
coverage_uxl_lnx_gpu
31.4 KB
sha256:43a5f87d5276eba37fffcada8d47e3d680fdad17b51667ec7f0460d7bd4db634
coverage_win_Py3.10_1.2
31.8 KB
sha256:3615174ecab849b18e16b6823c6310d1c5acda9fc5496013b96e5922d30ee2a4
coverage_win_Py3.11_1.3
32.2 KB
sha256:c49a8a387cc524794140ebc11a75974b2596d74156c829cf281d6fe3ed1bf13d
coverage_win_Py3.9_1.1
32.2 KB
sha256:3aa8dd46449f3455d63d067e697a770233eeef0efef3bd5fe5bce13d52411bfc
sklearnex_build_3.12
6.77 MB
sha256:f66a11981c5eb2f22218fcba49dad0db16478efcdbbb523aab61065d482a356f