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@dependabot dependabot bot commented on behalf of github Aug 9, 2022

Bumps pytorch-lightning from 1.6.5 to 1.7.1.

Release notes

Sourced from pytorch-lightning's releases.

PyTorch Lightning 1.7.1: Standard patch release

[1.7.1] - 2022-08-09

Fixed

  • Casted only floating point tensors to fp16 with IPUs (#13983)
  • Casted tensors to fp16 before moving them to device with DeepSpeedStrategy (#14000)
  • Fixed the NeptuneLogger dependency being unrecognized (#13988)
  • Fixed an issue where users would be warned about unset max_epochs even when fast_dev_run was set (#13262)
  • Fixed MPS device being unrecognized (#13992)
  • Fixed incorrect precision="mixed" being used with DeepSpeedStrategy and IPUStrategy (#14041)
  • Fixed dtype inference during gradient norm computation (#14051)
  • Fixed a bug that caused ddp_find_unused_parameters to be set False, whereas the intended default is True (#14095)

Contributors

@​adamjstewart @​akihironitta @​awaelchli @​Birch-san @​carmocca @​clementpoiret @​dependabot @​rohitgr7

PyTorch Lightning 1.7: Apple Silicon support, Native FSDP, Collaborative training, and multi-GPU support with Jupyter notebooks

The core team is excited to announce the release of PyTorch Lightning 1.7 ⚡

PyTorch Lightning 1.7 is the culmination of work from 106 contributors who have worked on features, bug-fixes, and documentation for a total of over 492 commits since 1.6.0.

Highlights

Apple Silicon Support

For those using PyTorch 1.12 on M1 or M2 Apple machines, we have created the MPSAccelerator. MPSAccelerator enables accelerated GPU training on Apple’s Metal Performance Shaders (MPS) as a backend process.


NOTE

Support for this accelerator is currently marked as experimental in PyTorch. Because many operators are still missing, you may run into a few rough edges.


# Selects the accelerator
trainer = pl.Trainer(accelerator="mps")
Equivalent to
from pytorch_lightning.accelerators import MPSAccelerator
</tr></table>

... (truncated)

Commits
  • be58159 Fix assert wandb Run when mode="disabled" (#14112)
  • 8cdc867 Fix incorrect precision="mixed" being used with DeepSpeedStrategy and `IP...
  • 12b06ed raise torchvision version to 0.13.0
  • b438fa5 Cast to fp16 before moving to device with deepspeed (#14000)
  • 0bdbf4d Update tqdm requirement from <=4.63.0,>=4.57.0 to >=4.57.0,<4.65.0 in /requir...
  • ba7f89c Update wandb requirement from <0.12.20,>=0.10.22 to >=0.10.22,<0.13.2 in /req...
  • 13c6cf7 Update mlflow requirement from <1.27.0,>=1.0.0 to >=1.0.0,<1.28.0 in /require...
  • ac50b0c Update comet-ml requirement from <3.31.6,>=3.1.12 to >=3.1.12,<3.31.8 in /req...
  • 30e062a Freeze requirements for CI (#14007)
  • 91131e0 CI: Update XLA from 1.9 to 1.12 (#14013)
  • Additional commits viewable in compare view

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Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 1.6.5 to 1.7.1.
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@1.6.5...pl/1.7.1)

---
updated-dependencies:
- dependency-name: pytorch-lightning
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Aug 9, 2022
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dependabot bot commented on behalf of github Aug 18, 2022

Superseded by #3.

@dependabot dependabot bot closed this Aug 18, 2022
@dependabot dependabot bot deleted the dependabot/pip/pytorch-lightning-1.7.1 branch August 18, 2022 23:44
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