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[tune](deps): Bump pytorch-lightning-bolts from 0.2.5 to 0.3.2 in /python/requirements#14

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[tune](deps): Bump pytorch-lightning-bolts from 0.2.5 to 0.3.2 in /python/requirements#14
dependabot[bot] wants to merge 1 commit intomasterfrom
dependabot/pip/python/requirements/pytorch-lightning-bolts-0.3.2

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@dependabot dependabot bot commented on behalf of github May 15, 2021

Bumps pytorch-lightning-bolts from 0.2.5 to 0.3.2.

Release notes

Sourced from pytorch-lightning-bolts's releases.

typing friendly

[0.3.2] - 2021-03-20

Changed

  • Renamed SSL modules: CPCV2 >> CPC_v2 and MocoV2 >> Moco_v2 (#585)
  • Refactored setup.py to be typing friendly (#601)

compatibility PyTorch 1.8

[0.3.1] - 2021-03-09

Added

  • Added Pix2Pix model (#533)

Changed

  • Moved vision models (GPT2, ImageGPT, SemSegment, UNet) to pl_bolts.models.vision (#561)

Fixed

Contributors

@​akihironitta, @​aniketmaurya, @​BartekRoszak, @​FlorianMF, @​indigoviolet, @​kaushikb11, @​mxksowie, @​wjn0

If we forgot someone due to not matching commit email with GitHub account, let us know :]

major fixes & refactoring

Detail chnages

Added

  • Added input_channels argument to UNet (#297)
  • Added SwAV (#239, #348, #323)
  • Added data monitor callbacks ModuleDataMonitor and TrainingDataMonitor (#285)
  • Added DCGAN module (#403)
  • Added VisionDataModule as parent class for BinaryMNISTDataModule, CIFAR10DataModule, FashionMNISTDataModule, and MNISTDataModule (#400)
  • Added GIoU loss (#347)
  • Added IoU loss (#469)
  • Added semantic segmentation model SemSegment with UNet backend (#259)
  • Added option to normalize latent interpolation images (#438)
  • Added flags to datamodules (#388)
  • Added metric GIoU (#347)

... (truncated)

Changelog

Sourced from pytorch-lightning-bolts's changelog.

[0.3.2] - 2021-03-20

Changed

  • Renamed SSL modules: CPCV2 >> CPC_v2 and MocoV2 >> Moco_v2 (#585)
  • Refactored setup.py to be typing friendly (#601)

[0.3.1] - 2021-03-09

Added

  • Added Pix2Pix model (#533)

Changed

  • Moved vision models (GPT2, ImageGPT, SemSegment, UNet) to pl_bolts.models.vision (#561)

Fixed

  • Fixed BYOL moving average update (#574)
  • Fixed custom gamma in rl (#550)
  • Fixed PyTorch 1.8 compatibility issue (#580, #579)
  • Fixed handling batchnorms in BatchGradientVerification (#569)
  • Corrected num_rows calculation in LatentDimInterpolator callback (#573)

[0.3.0] - 2021-01-20

Added

  • Added input_channels argument to UNet (#297)
  • Added SwAV (#239, #348, #323)
  • Added data monitor callbacks ModuleDataMonitor and TrainingDataMonitor (#285)
  • Added DCGAN module (#403)
  • Added VisionDataModule as parent class for BinaryMNISTDataModule, CIFAR10DataModule, FashionMNISTDataModule, and MNISTDataModule (#400)
  • Added GIoU loss (#347)
  • Added IoU loss (#469)
  • Added semantic segmentation model SemSegment with UNet backend (#259)
  • Added pption to normalize latent interpolation images (#438)
  • Added flags to datamodules (#388)
  • Added metric GIoU (#347)
  • Added Intersection over Union Metric/Loss (#469)
  • Added SimSiam model (#407)
  • Added gradient verification callback (#465)
  • Added Backbones to FRCNN (#475)

... (truncated)

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label May 15, 2021
@dependabot dependabot bot force-pushed the dependabot/pip/python/requirements/pytorch-lightning-bolts-0.3.2 branch from 5372e5a to 0be52c4 Compare July 16, 2021 21:32
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dependabot bot commented on behalf of github Sep 29, 2021

Looks like pytorch-lightning-bolts is no longer a dependency, so this is no longer needed.

@dependabot dependabot bot closed this Sep 29, 2021
@dependabot dependabot bot deleted the dependabot/pip/python/requirements/pytorch-lightning-bolts-0.3.2 branch September 29, 2021 21:23
architkulkarni 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.
architkulkarni pushed a commit that referenced this pull request Oct 18, 2023
Upgrade typepy, typepy 1.3.1 is broken

https://buildkite.com/ray-project/release-tests-branch/builds/2225#018afbb2-428e-4364-b26c-7c49052edd26

#14 80.99 ERROR: In --require-hashes mode, all requirements must have their versions pinned with ==. These do not:
--
  | 2023-10-05 07:42:44 PDT | #14 80.99     typepy<2,>=1.2.0 from https://files.pythonhosted.org/packages/f1/10/0d6dc654bb4e0eca017bbaf43a315b464c888576a68a2883cd4a74bd1b6b/typepy-1.3.2-py3-none-any.whl (from tabledata==1.3.1->-r requirements_ml_byod_3.9.txt (line 2259))

Test:
- CI
- Install requirements_ml_byod_3.9.txt locally

Signed-off-by: can <can@anyscale.com>
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