ray-project / ray_lightning

Pytorch Lightning Distributed Accelerators using Ray
Apache License 2.0
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Bump lightning-bolts from 0.3.3 to 0.5.0 #113

Open dependabot[bot] opened 2 years ago

dependabot[bot] commented 2 years ago

Bumps lightning-bolts from 0.3.3 to 0.5.0.

Release notes

Sourced from lightning-bolts's releases.

More object detection models and backbones

[0.5.0] - 2021-12-20

Added

  • Added YOLO model (#552)
  • Added SRGAN, SRImageLoggerCallback, TVTDataModule, SRCelebA, SRMNIST, SRSTL10 (#466)
  • Added nn.Module support for FasterRCNN backbone (#661)
  • Added RetinaNet with torchvision backbones (#529)
  • Added Python 3.9 support (#786)

Changed

  • VAE now uses deterministic KL divergence during training, previously estimated KL divergence by random sampling (#760)

Removed

  • Removed PyTorch 1.6 support (#786)
  • Removed Python 3.6 support (#785)

Fixed

  • Fixed doctest fails with ImportError: cannot import name 'Env' from 'gym' (#751)
  • Fixed MoCo v2 missing Cosine Annealing learning scheduler (#757)

Contributors

@​abhayraw1 @​akihironitta @​chris-clem @​hoangtnm @​nmichlo @​oke-aditya @​Programmer-RD-AI @​senarvi

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

More RL and callbacks

[0.4.0] - 2021-09-09

Added

  • Added Soft Actor Critic (SAC) Model (#627)
  • Added EMNISTDataModule, BinaryEMNISTDataModule, and BinaryEMNIST dataset (#676)
  • Added Advantage Actor-Critic (A2C) Model (#598)
  • Added Torch ORT Callback (#720)
  • Added SparseML Callback (#724)

Changed

  • Changed the default values pin_memory=False, shuffle=False and num_workers=16 to pin_memory=True, shuffle=True and num_workers=0 of datamodules (#701)
  • Supporting deprecated attribute usage (#699)

Fixed

  • Fixed ImageNet val loader to use val transform instead of train transform (#713)

... (truncated)

Changelog

Sourced from lightning-bolts's changelog.

[0.5.0] - 2021-12-20

Added

  • Added YOLO model (#552)
  • Added SRGAN, SRImageLoggerCallback, TVTDataModule, SRCelebA, SRMNIST, SRSTL10 (#466)
  • Added nn.Module support for FasterRCNN backbone (#661)
  • Added RetinaNet with torchvision backbones (#529)
  • Added Python 3.9 support (#786)

Changed

  • VAE now uses deterministic KL divergence during training, previously estimated KL divergence by random sampling (#760)

Removed

  • Removed PyTorch 1.6 support (#786)
  • Removed Python 3.6 support (#785)

Fixed

  • Fixed doctest fails with ImportError: cannot import name 'Env' from 'gym' (#751)
  • Fixed MoCo v2 missing Cosine Annealing learning scheduler (#757)

[0.4.0] - 2021-09-09

Added

  • Added Soft Actor Critic (SAC) Model (#627)
  • Added EMNISTDataModule, BinaryEMNISTDataModule, and BinaryEMNIST dataset (#676)
  • Added Advantage Actor-Critic (A2C) Model (#598)
  • Added Torch ORT Callback (#720)
  • Added SparseML Callback (#724)

Changed

  • Changed the default values pin_memory=False, shuffle=False and num_workers=16 to pin_memory=True, shuffle=True and num_workers=0 of datamodules (#701)
  • Supporting deprecated attribute usage (#699)

Fixed

  • Fixed ImageNet val loader to use val transform instead of train transform (#713)
  • Fixed the MNIST download giving HTTP 404 with torchvision>=0.9.1 (#674)
  • Removed momentum updating from val step and add separate val queue (#631)
  • Fixed moving the queue to GPU when resuming checkpoint for SwAV model (#684)
  • Fixed FP16 support with vision GPT model (#694)
  • Removing bias from linear model regularisation (#669)
  • Fixed CPC module issue (#680)

... (truncated)

Commits


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dependabot[bot] commented 1 year ago

A newer version of lightning-bolts exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.