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[tune](deps): Bump nevergrad from 0.4.2.post5 to 0.4.3.post1 in /python/requirements #9

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@dependabot dependabot bot commented on behalf of github Feb 27, 2021

Bumps nevergrad from 0.4.2.post5 to 0.4.3.post1.

Release notes

Sourced from nevergrad's releases.

0.4.3

This version provides a few fixes and the new multi-objective API of optimizers (you can now provide a list/array of float to tell directly). This allows fore more efficient multi-objective optimization for some optimizers (DE, NGOpt). Future work will continue to improve multi-objective capacities and aim at improving constraints management.

See CHANGELOG for details.

Changelog

Sourced from nevergrad's changelog.

Changelog

master

Breaking changes

  • copy() method of a Parameter does not change the parameters's random state anymore (it used to reset it to None #1048
  • MultiobjectiveFunction does not exist anymore #1034.

Important changes

  • Parameter classes are undergoing heavy changes, please open an issue if you encounter any problem. The midterm aim is to allow for simpler constraint management.
  • Parameter have been updated have undergone heavy changes to ease the handling of their tree structure ( #1029 #1036 #1038 #1043 #1044 )
  • Parameter classes have now a layer structure #1045 which simplifies changing their behavior. In future PRs this system will take charge of bounds, other constraints, sampling etc.
  • DE initial sampling as been updated to take bounds into accounts #1058

Other changes

  • the new nevergrad.errors module gathers errors and warnings used throughout the package (WIP) #1031.
  • EvolutionStrategy now defaults to NSGA2 selection in the multiobjective case
  • A new experimental callback adds an early stopping mechanism #1054.

0.4.3 (2021-01-28)

Important changes

  • tell method can now receive a list/array of losses for multi-objective optimization #775. For now it is neither robust, nor scalable, nor stable, nor optimal so be careful when using it. More information in the documentation.
  • The old way to perform multiobjective optimization, through the use of :code:MultiobjectiveFunction, is now deprecated and will be removed after version 0.4.3 #1017.
  • By default, the optimizer now returns the best set of parameter as recommendation #951, considering that the function is deterministic. The previous behavior would use an estimation of noise to provide the pessimistic best point, leading to unexpected behaviors #947. You can can back to this behavior by specifying: :code:parametrization.descriptors.deterministic_function = False

Other

  • DE and its variants have been updated to make full use of the multi-objective losses #789. Other optimizers convert multiobjective problems to a volume minimization, which is not always as efficient.
  • as an experimental feature we have added some preliminary support for constraint management through penalties. From then on the prefered option for penalty is to register a function returning a positive float when the constraint is satisfied. While we will wait fore more testing before documenting it, this may already cause instabilities and errors when adding cheap constraints. Please open an issue if you encounter a problem.
  • tell argument value is renamed to loss for clarification #774. This can be breaking when using named arguments!
  • ExperimentFunction now automatically records arguments used for their instantiation so that they can both be used to create a new copy, and as descriptors if there are of type int/bool/float/str [[webui] Generating a new task timeline requires moving the slider. ray-project/ray#914](facebookresearch/nevergrad#914 #914).
  • from now on, code formatting needs to be black compliant. This is

... (truncated)

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@dependabot dependabot bot force-pushed the dependabot/pip/python/requirements/nevergrad-0.4.3.post1 branch from f079b5a to 84dab58 Compare March 22, 2021 21:41
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dependabot bot commented on behalf of github Apr 10, 2021

Superseded by #11.

@dependabot dependabot bot closed this Apr 10, 2021
@dependabot dependabot bot deleted the dependabot/pip/python/requirements/nevergrad-0.4.3.post1 branch April 10, 2021 07:03
edoakes pushed a commit that referenced this pull request Aug 5, 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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