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[tune](deps): Bump flaml from 0.5.2 to 0.9.0 in /python/requirements/tune #13

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@dependabot dependabot bot commented on behalf of github Dec 11, 2021

Bumps flaml from 0.5.2 to 0.9.0.

Release notes

Sourced from flaml's releases.

v0.9.0

  1. Revise flaml.tune API
  • Add a “scheduler” argument (a user can choose from “flaml”, “asha” or a customized scheduler)
  • Rename "prune_attr" to "resource_attr"
  • Rename “training_function” to “evaluation_function”
  • Remove the “report_intermediate_result” argument (covered by “scheduler” instead)
  • Add tests for the supported schedulers
  • Re-run notebooks that use schedulers
  1. Add save_best_config() to save best config in a json file

What's Changed

Full Changelog: microsoft/FLAML@v0.8.2...v0.9.0

v0.8.2

What's Changed

Full Changelog: microsoft/FLAML@v0.8.1...v0.8.2

v0.8.1

What's Changed

New Contributors

Full Changelog: microsoft/FLAML@v0.8.0...v0.8.1

v0.8.0

In this release, we add two nlp tasks: sequence classification and sequence regression to flaml.AutoML, using transformer-based neural networks. Previously the nlp module was detached from flaml.AutoML with a separate API. We redesigned the API such that the nlp tasks can be accessed from the same API as other tasks, and adding more nlp tasks in future would be easy. Thanks for the hard work @​liususan091219 !

We've also continued to make more performance & feature improvements. Examples:

  • We added a variation of XGBoost search space which uses limited max_depth. It includes the default configuration from XGBoost library. The new search space leads to significantly better performance for some regression datasets.
  • We allow arguments for flaml.AutoML to be passed to the constructor. This enables multioutput regression by combining sklearn's MultioutputRegressor and flaml's AutoML.

... (truncated)

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Bumps [flaml](https://github.com/microsoft/FLAML) from 0.5.2 to 0.9.0.
- [Release notes](https://github.com/microsoft/FLAML/releases)
- [Commits](https://github.com/microsoft/FLAML/commits/v0.9.0)

---
updated-dependencies:
- dependency-name: flaml
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 11, 2021
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ArturNiederfahrenhorst pushed a commit that referenced this pull request Jul 28, 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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