python/python-joblib
SHA256
14
0
Fork 0
forked from pool/python-joblib
Code Pull Requests Activity

Accepting request 781865 from home:pgajdos:python

Browse Source 
- version update to 0.14.1
  - Configure the loky workers' environment to mitigate oversubsription with
    nested multi-threaded code in the following case:
    - allow for a suitable number of threads for numba (``NUMBA_NUM_THREADS``);
    - enable Interprocess Communication for scheduler coordination when the
      nested code uses Threading Building Blocks (TBB) (``ENABLE_IPC=1``)
    https://github.com/joblib/joblib/pull/951
  - Fix a regression where the loky backend was not reusing previously
    spawned workers.
    https://github.com/joblib/joblib/pull/968
  - Revert https://github.com/joblib/joblib/pull/847 to avoid using
    `pkg_resources` that introduced a performance regression under Windows:
    https://github.com/joblib/joblib/issues/965
  - Improved the load balancing between workers to avoid stranglers caused by an
    excessively large batch size when the task duration is varying significantly
    (because of the combined use of ``joblib.Parallel`` and ``joblib.Memory``
    with a partially warmed cache for instance).
    https://github.com/joblib/joblib/pull/899
  - Add official support for Python 3.8: fixed protocol number in `Hasher`
    and updated tests.
  - Fix a deadlock when using the dask backend (when scattering large numpy
    arrays).
    https://github.com/joblib/joblib/pull/914
  - Warn users that they should never use `joblib.load` with files from
    untrusted sources. Fix security related API change introduced in numpy
    1.6.3 that would prevent using joblib with recent numpy versions.
    https://github.com/joblib/joblib/pull/879
  - Upgrade to cloudpickle 1.1.1 that add supports for the upcoming
    Python 3.8 release among other things.
    https://github.com/joblib/joblib/pull/878

OBS-URL: https://build.opensuse.org/request/show/781865
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-joblib?expand=0&rev=30
This commit is contained in:
Tomáš Chvátal
2020-03-05 14:02:18 +00:00
committed by Git OBS Bridge
parent d91362b135
commit 518b99432f
5 changed files with 60 additions and 64 deletions
Download Patch File Download Diff File Expand all files Collapse all files

54
python-joblib.changes
View File

@@ -1,3 +1,57 @@
-------------------------------------------------------------------
Thu Mar 5 13:33:14 UTC 2020 - pgajdos@suse.com
- version update to 0.14.1
- Configure the loky workers' environment to mitigate oversubsription with
nested multi-threaded code in the following case:
- allow for a suitable number of threads for numba (``NUMBA_NUM_THREADS``);
- enable Interprocess Communication for scheduler coordination when the
nested code uses Threading Building Blocks (TBB) (``ENABLE_IPC=1``)
https://github.com/joblib/joblib/pull/951
- Fix a regression where the loky backend was not reusing previously
spawned workers.
https://github.com/joblib/joblib/pull/968
- Revert https://github.com/joblib/joblib/pull/847 to avoid using
`pkg_resources` that introduced a performance regression under Windows:
https://github.com/joblib/joblib/issues/965
- Improved the load balancing between workers to avoid stranglers caused by an
excessively large batch size when the task duration is varying significantly
(because of the combined use of ``joblib.Parallel`` and ``joblib.Memory``
with a partially warmed cache for instance).
https://github.com/joblib/joblib/pull/899
- Add official support for Python 3.8: fixed protocol number in `Hasher`
and updated tests.
- Fix a deadlock when using the dask backend (when scattering large numpy
arrays).
https://github.com/joblib/joblib/pull/914
- Warn users that they should never use `joblib.load` with files from
untrusted sources. Fix security related API change introduced in numpy
1.6.3 that would prevent using joblib with recent numpy versions.
https://github.com/joblib/joblib/pull/879
- Upgrade to cloudpickle 1.1.1 that add supports for the upcoming
Python 3.8 release among other things.
https://github.com/joblib/joblib/pull/878
- Fix semaphore availability checker to avoid spawning resource trackers
on module import.
https://github.com/joblib/joblib/pull/893
- Fix the oversubscription protection to only protect against nested
`Parallel` calls. This allows `joblib` to be run in background threads.
https://github.com/joblib/joblib/pull/934
- Fix `ValueError` (negative dimensions) when pickling large numpy arrays on
Windows.
https://github.com/joblib/joblib/pull/920
- Upgrade to loky 2.6.0 that add supports for the setting environment variables
in child before loading any module.
https://github.com/joblib/joblib/pull/940
- Fix the oversubscription protection for native libraries using threadpools
(OpenBLAS, MKL, Blis and OpenMP runtimes).
The maximal number of threads is can now be set in children using the
``inner_max_num_threads`` in ``parallel_backend``. It defaults to
``cpu_count() // n_jobs``.
https://github.com/joblib/joblib/pull/940
- deleted patches
- numpy16.patch (upstreamed)
-------------------------------------------------------------------
Tue May 28 10:34:57 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>