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ConnorBaker / BSRT

Pytorch code for "BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment", CVPRW, 1st place in NTIRE 2022 BurstSR Challenge (real-world track).
MIT License
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build(deps-dev): bump pytorch-lightning from 1.8.0.post1 to 1.8.1 #9

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps pytorch-lightning from 1.8.0.post1 to 1.8.1.

Release notes

Sourced from pytorch-lightning's releases.

Minor patch release

App

Added

  • Added the start method to the work (#15523)
  • Added a MultiNode Component to run with distributed computation with any frameworks (#15524)
  • Expose RunWorkExecutor to the work and provides default ones for the MultiNode Component (#15561)
  • Added a start_with_flow flag to the LightningWork which can be disabled to prevent the work from starting at the same time as the flow (#15591)
  • Added support for running Lightning App with VSCode IDE debugger (#15590)
  • Added bi-directional delta updates between the flow and the works (#15582)
  • Added --setup flag to lightning run app CLI command allowing for dependency installation via app comments (#15577)
  • Auto-upgrade / detect environment mis-match from the CLI (#15434)
  • Added Serve component (#15609)

Changed

  • Changed the flow.flows to be recursive wont to align the behavior with the flow.works (#15466)
  • The params argument in TracerPythonScript.run no longer prepends -- automatically to parameters (#15518)
  • Only check versions / env when not in the cloud (#15504)
  • Periodically sync database to the drive (#15441)
  • Slightly safer multi node (#15538)
  • Reuse existing commands when running connect more than once (#15471)

Fixed

  • Fixed writing app name and id in connect.txt file for the command CLI (#15443)
  • Fixed missing root flow among the flows of the app (#15531)
  • Fixed bug with Multi Node Component and add some examples (#15557)
  • Fixed a bug where payload would take a very long time locally (#15557)
  • Fixed an issue with the lightning CLI taking a long time to error out when the cloud is not reachable (#15412)

Lite

Fixed

  • Fix an issue with the SLURM srun detection causing permission errors (#15485)
  • Fixed the import of lightning_lite causing a warning 'Redirects are currently not supported in Windows or MacOs' (#15610)

PyTorch

Fixed

  • Fixed TensorBoardLogger not validating the input array type when logging the model graph (#15323)
  • Fixed an attribute error in ColossalAIStrategy at import time when torch.distributed is not available (#15535)
  • Fixed an issue when calling fs.listdir with file URI instead of path in CheckpointConnector (#15413)
  • Fixed an issue with the BaseFinetuning callback not setting the track_running_stats attribute for batch normaliztion layers (#15063)
  • Fixed an issue with WandbLogger(log_model=True|'all) raising an error and not being able to serialize tensors in the metadata (#15544)
  • Fixed the gradient unscaling logic when using Trainer(precision=16) and fused optimizers such as Adam(..., fused=True) (#15544)

... (truncated)

Commits


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