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amzn / amazon-ray

Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.
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[tune](deps): Bump pytorch-lightning-bolts from 0.2.5 to 0.3.2 in /python/requirements/tune #60

Closed dependabot[bot] closed 3 years ago

dependabot[bot] commented 3 years ago

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

  • 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)

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)

Commits


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dependabot[bot] commented 3 years ago

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