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[tune](deps): Bump mlflow from 1.14.0 to 1.16.0 in /python/requirements #12

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@dependabot dependabot bot commented on behalf of github May 1, 2021

Bumps mlflow from 1.14.0 to 1.16.0.

Release notes

Sourced from mlflow's releases.

MLflow 1.16.0 includes several major features and improvements:

Features:

  • Add mlflow.pyspark.ml.autolog() API for autologging of pyspark.ml estimators (#4228, @​WeichenXu123)
  • Add mlflow.catboost.log_model, mlflow.catboost.save_model, mlflow.catboost.load_model APIs for CatBoost model persistence (#2417, @​harupy)
  • Enable mlflow.pyfunc.spark_udf to use column names from model signature by default (#4236, @​Loquats)
  • Add datetime data type for model signatures (#4241, @​vperiyasamy)
  • Add mlflow.sklearn.eval_and_log_metrics API that computes and logs metrics for the given scikit-learn model and labeled dataset. (#4218, @​alkispoly-db)

Bug fixes and documentation updates:

Small bug fixes and doc updates (#4255, #4252, #4254, #4253, #4242, #4247, #4243, #4237, #4233, @​harupy; #4225, @​dmatrix; #4206, @​mlflow-automation; #4207, @​shrinath-suresh; #4264, @​WeichenXu123; #3884, #3866, #3885, @​ankan94; #4274, #4216, @​dbczumar)

MLflow 1.15.0

1.15.0 (2021-03-26)

MLflow 1.15.0 includes several features, bug fixes and improvements. Notably, it includes a number of improvements to MLflow autologging:

Features:

  • Add silent=False option to all autologging APIs, to allow suppressing MLflow warnings and logging statements during autologging setup and training (#4173, @​dbczumar)
  • Add disable_for_unsupported_versions=False option to all autologging APIs, to disable autologging for versions of ML frameworks that have not been explicitly tested against the current version of the MLflow client (#4119, @​WeichenXu123)

Bug fixes:

  • Autologged runs are now terminated when execution is interrupted via SIGINT (#4200, @​dbczumar)
  • The R mlflow_get_experiment API now returns the same tag structure as mlflow_list_experiments and mlflow_get_run (#4017, @​lorenzwalthert)
  • Fix bug where mlflow.tensorflow.autolog would previously mutate the user-specified callbacks list when fitting tf.keras models (#4195, @​dbczumar)
  • Fix bug where SQL-backed MLflow tracking server initialization failed when using the MLflow skinny client (#4161, @​eedeleon)
  • Model version creation (e.g. via mlflow.register_model) now fails if the model version status is not READY (#4114, @​ankit-db)

Small bug fixes and doc updates (#4191, #4149, #4162, #4157, #4155, #4144, #4141, #4138, #4136, #4133, #3964, #4130, #4118, @​harupy; #4152, @​mlflow-automation; #4139, @​WeichenXu123; #4193, @​smurching; #4029, @​architkulkarni; #4134, @​xhochy; #4116, @​wenleix; #4160, @​wentinghu; #4203, #4184, #4167, @​dbczumar)

MLflow 1.14.1 is a patch release containing the following bug fix:

Changelog

Sourced from mlflow's changelog.

1.16.0 (2021-04-22)

MLflow 1.16.0 includes several major features and improvements:

Features:

  • Add mlflow.pyspark.ml.autolog() API for autologging of pyspark.ml estimators (#4228, @​WeichenXu123)
  • Add mlflow.catboost.log_model, mlflow.catboost.save_model, mlflow.catboost.load_model APIs for CatBoost model persistence (#2417, @​harupy)
  • Enable mlflow.pyfunc.spark_udf to use column names from model signature by default (#4236, @​Loquats)
  • Add datetime data type for model signatures (#4241, @​vperiyasamy)
  • Add mlflow.sklearn.eval_and_log_metrics API that computes and logs metrics for the given scikit-learn model and labeled dataset. (#4218, @​alkispoly-db)

Bug fixes and documentation updates:

Small bug fixes and doc updates (#4255, #4252, #4254, #4253, #4242, #4247, #4243, #4237, #4233, @​harupy; #4225, @​dmatrix; #4206, @​mlflow-automation; #4207, @​shrinath-suresh; #4264, @​WeichenXu123; #3884, #3866, #3885, @​ankan94; #4274, #4216, @​dbczumar)

1.15.0 (2021-03-26)

MLflow 1.15.0 includes several features, bug fixes and improvements. Notably, it includes a number of improvements to MLflow autologging:

Features:

  • Add silent=False option to all autologging APIs, to allow suppressing MLflow warnings and logging statements during autologging setup and training (#4173, @​dbczumar)
  • Add disable_for_unsupported_versions=False option to all autologging APIs, to disable autologging for versions of ML frameworks that have not been explicitly tested against the current version of the MLflow client (#4119, @​WeichenXu123)

Bug fixes:

  • Autologged runs are now terminated when execution is interrupted via SIGINT (#4200, @​dbczumar)
  • The R mlflow_get_experiment API now returns the same tag structure as mlflow_list_experiments and mlflow_get_run (#4017, @​lorenzwalthert)
  • Fix bug where mlflow.tensorflow.autolog would previously mutate the user-specified callbacks list when fitting tf.keras models (#4195, @​dbczumar)
  • Fix bug where SQL-backed MLflow tracking server initialization failed when using the MLflow skinny client (#4161, @​eedeleon)
  • Model version creation (e.g. via mlflow.register_model) now fails if the model version status is not READY (#4114, @​ankit-db)

Small bug fixes and doc updates (#4191, #4149, #4162, #4157, #4155, #4144, #4141, #4138, #4136, #4133, #3964, #4130, #4118, @​harupy; #4152, @​mlflow-automation; #4139, @​WeichenXu123; #4193, @​smurching; #4029, @​architkulkarni; #4134, @​xhochy; #4116, @​wenleix; #4160, @​wentinghu; #4203, #4184, #4167, @​dbczumar)

1.14.1 (2021-03-01)

MLflow 1.14.1 is a patch release containing the following bug fix:

Commits
  • 756ba40 Cherry-pick ML pakcage versions update (#4286)
  • 56637e8 Update MLflow version to 1.16.0 (#4281)
  • 849bde9 Fix flaky test (#4274)
  • 11898c5 Add argument type annotations (#4255)
  • 25379a3 Enable spark_udf to use column names from model signature by default (#4236)
  • a0e66ce Update Cross version tests on spark to include allowlist suite. (#4264)
  • c603c37 Move utility functions used in sklearn autologging to reuse them in pyspark a...
  • 92520df Implementation: pyspark autologging for basic estimator (#4228)
  • 3b49b28 Add datetime data type for MLflow model signatures (#4241)
  • 1e62cc3 remove h5py from extra-ml-requirements.txt (#4254)
  • Additional commits viewable in compare view

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label May 1, 2021
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dependabot bot commented on behalf of github May 15, 2021

Superseded by #13.

@dependabot dependabot bot closed this May 15, 2021
@dependabot dependabot bot deleted the dependabot/pip/python/requirements/mlflow-1.16.0 branch May 15, 2021 07:03
suquark pushed a commit that referenced this pull request Jul 27, 2022
We encountered SIGSEGV when running Python test `python/ray/tests/test_failure_2.py::test_list_named_actors_timeout`. The stack is:

```
#0  0x00007fffed30f393 in std::basic_string<char, std::char_traits<char>, std::allocator<char> >::basic_string(std::string const&) ()
   from /lib64/libstdc++.so.6
#1  0x00007fffee707649 in ray::RayLog::GetLoggerName() () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so
#2  0x00007fffee70aa90 in ray::SpdLogMessage::Flush() () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so
#3  0x00007fffee70af28 in ray::RayLog::~RayLog() () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so
#4  0x00007fffee2b570d in ray::asio::testing::(anonymous namespace)::DelayManager::Init() [clone .constprop.0] ()
   from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so
#5  0x00007fffedd0d95a in _GLOBAL__sub_I_asio_chaos.cc () from /home/admin/dev/Arc/merge/ray/python/ray/_raylet.so
#6  0x00007ffff7fe282a in call_init.part () from /lib64/ld-linux-x86-64.so.2
#7  0x00007ffff7fe2931 in _dl_init () from /lib64/ld-linux-x86-64.so.2
#8  0x00007ffff7fe674c in dl_open_worker () from /lib64/ld-linux-x86-64.so.2
#9  0x00007ffff7b82e79 in _dl_catch_exception () from /lib64/libc.so.6
#10 0x00007ffff7fe5ffe in _dl_open () from /lib64/ld-linux-x86-64.so.2
#11 0x00007ffff7d5f39c in dlopen_doit () from /lib64/libdl.so.2
#12 0x00007ffff7b82e79 in _dl_catch_exception () from /lib64/libc.so.6
#13 0x00007ffff7b82f13 in _dl_catch_error () from /lib64/libc.so.6
#14 0x00007ffff7d5fb09 in _dlerror_run () from /lib64/libdl.so.2
#15 0x00007ffff7d5f42a in dlopen@@GLIBC_2.2.5 () from /lib64/libdl.so.2
#16 0x00007fffef04d330 in py_dl_open (self=<optimized out>, args=<optimized out>)
    at /tmp/python-build.20220507135524.257789/Python-3.7.11/Modules/_ctypes/callproc.c:1369
```

The root cause is that when loading `_raylet.so`, `static DelayManager _delay_manager` is initialized and `RAY_LOG(ERROR) << "RAY_testing_asio_delay_us is set to " << delay_env;` is executed. However, the static variables declared in `logging.cc` are not initialized yet (in this case, `std::string RayLog::logger_name_ = "ray_log_sink"`).

It's better not to rely on the initialization order of static variables in different compilation units because it's not guaranteed. I propose to change all `RAY_LOG`s to `std::cerr` in `DelayManager::Init()`.

The crash happens in Ant's internal codebase. Not sure why this test case passes in the community version though.

BTW, I've tried different approaches:

1. Using a static local variable in `get_delay_us` and remove the global variable. This doesn't work because `init()` needs to access the variable as well.
2. Defining the global variable as type `std::unique_ptr<DelayManager>` and initialize it in `get_delay_us`. This works but it requires a lock to be thread-safe.
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