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[tune](deps): Bump pytorch-lightning-bolts from 0.2.5 to 0.3.0 in /python/requirements #8

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@dependabot dependabot bot commented on behalf of github Mar 13, 2021

Bumps pytorch-lightning-bolts from 0.2.5 to 0.3.0.

Release notes

Sourced from pytorch-lightning-bolts's releases.

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)
  • Added Intersection over Union Metric/Loss (#469)
  • Added SimSiam model (#407)
  • Added gradient verification callback (#465)
  • Added Backbones to FRCNN (#475)

Changed

  • Decoupled datamodules from models (#332, #270)
  • Set PyTorch Lightning 1.0 as the minimum requirement (#274)
  • Moved pl_bolts.callbacks.self_supervised.BYOLMAWeightUpdate to pl_bolts.callbacks.byol_updates.BYOLMAWeightUpdate (#288)
  • Moved pl_bolts.callbacks.self_supervised.SSLOnlineEvaluator to pl_bolts.callbacks.ssl_online.SSLOnlineEvaluator (#288)
  • Moved pl_bolts.datamodules.*_dataset to pl_bolts.datasets.*_dataset (#275)
  • Ensured sync across val/test step when using DDP (#371)
  • Refactored CLI arguments of models (#394)
  • Upgraded DQN to use .log (#404)
  • Decoupled DataModules from models - CPCV2 (#386)
  • Refactored datamodules/datasets (#338)
  • Refactored Vision DataModules (#400)
  • Refactored pl_bolts.callbacks (#477)
  • Refactored the rest of pl_bolts.models.self_supervised (#481, #479)
  • Update [torchvision.utils.make_grid(https://pytorch.org/docs/stable/torchvision/utils.html#torchvision.utils.make_grid)] kwargs to TensorboardGenerativeModelImageSampler (#494)

Fixed

  • Fixed duplicate warnings when optional packages are unavailable (#341)
  • Fixed ModuleNotFoundError when importing datamoules (#303)
  • Fixed cyclic imports in pl_bolts.utils.self_suprvised (#350)
  • Fixed VAE loss to use KL term of ELBO (#330)
  • Fixed dataloders of MNISTDataModule to use self.batch_size (#331)
  • Fixed missing outputs in SSL hooks for PyTorch Lightning 1.0 (#277)
  • Fixed stl10 datamodule (#369)
  • Fixes SimCLR transforms (#329)
  • Fixed binary MNIST datamodule (#377)

... (truncated)

Changelog

Sourced from pytorch-lightning-bolts's changelog.

[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)

Changed

  • Decoupled datamodules from models (#332, #270)
  • Set PyTorch Lightning 1.0 as the minimum requirement (#274)
  • Moved pl_bolts.callbacks.self_supervised.BYOLMAWeightUpdate to pl_bolts.callbacks.byol_updates.BYOLMAWeightUpdate (#288)
  • Moved pl_bolts.callbacks.self_supervised.SSLOnlineEvaluator to pl_bolts.callbacks.ssl_online.SSLOnlineEvaluator (#288)
  • Moved pl_bolts.datamodules.*_dataset to pl_bolts.datasets.*_dataset (#275)
  • Ensured sync across val/test step when using DDP (#371)
  • Refactored CLI arguments of models (#394)
  • Upgraded DQN to use .log (#404)
  • Decoupled DataModules from models - CPCV2 (#386)
  • Refactored datamodules/datasets (#338)
  • Refactored Vision DataModules (#400)
  • Refactored pl_bolts.callbacks (#477)
  • Refactored the rest of pl_bolts.models.self_supervised (#481, #479
  • Update [torchvision.utils.make_grid(https://pytorch.org/docs/stable/torchvision/utils.html#torchvision.utils.make_grid)] kwargs to TensorboardGenerativeModelImageSampler (#494)

Fixed

  • Fixed duplicate warnings when optional packages are unavailable (#341)
  • Fixed ModuleNotFoundError when importing datamoules (#303)
  • Fixed cyclic imports in pl_bolts.utils.self_suprvised (#350)
  • Fixed VAE loss to use KL term of ELBO (#330)
  • Fixed dataloders of MNISTDataModule to use self.batch_size (#331)
  • Fixed missing outputs in SSL hooks for PyTorch Lightning 1.0 (#277)

... (truncated)

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Mar 13, 2021
@dependabot dependabot bot force-pushed the dependabot/pip/python/requirements/pytorch-lightning-bolts-0.3.0 branch from 87fc8dd to 7a5c414 Compare March 23, 2021 11:08
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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/pytorch-lightning-bolts-0.3.0 branch April 10, 2021 07:03
sven1977 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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