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build(deps): bump pytorch-lightning from 2.4.0 to 2.5.0.post0 in /demo-notebooks/guided-demos #791

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@dependabot dependabot bot commented on behalf of github Dec 23, 2024

Bumps pytorch-lightning from 2.4.0 to 2.5.0.post0.

Release notes

Sourced from pytorch-lightning's releases.

Lightning v2.5 post0

Full Changelog: Lightning-AI/pytorch-lightning@2.5.0...2.5.0.post0

Lightning v2.5

Lightning AI ⚡ is excited to announce the release of Lightning 2.5.

Lightning 2.5 comes with improvements on several fronts, with zero API changes. Our users love it stable, we keep it stable 😄.

Talking about love ❤️, the lightning, pytorch-lightning and lightning-fabric packages are collectively getting more than 10M downloads per month 😮, for a total of over 180M downloads 🤯 since the early days . It's incredible to see PyTorch Lightning getting such a strong adoption across the industry and the sciences.

Release 2.5 embraces PyTorch 2.5, and it marks some of its more recent directions as officially supported, namely tensor subclass-based APIs like Distributed Tensors and TorchAO, in combination with torch.compile.

Here's a couple of examples:

Full example here

import lightning as L
import torch
import torch.nn as nn
import torch.nn.functional as F
from lightning.pytorch.demos import Transformer, WikiText2
from lightning.pytorch.strategies import ModelParallelStrategy
from torch.distributed._composable.fsdp.fully_shard import fully_shard
from torch.utils.data import DataLoader
from torchao.float8 import Float8LinearConfig, convert_to_float8_training
class LanguageModel(L.LightningModule):
def init(self, vocab_size):
super().init()
self.vocab_size = vocab_size
self.model = None
def configure_model(self):
    if self.model is not None:
        return
with torch.device("meta"):
    model = Transformer(
        vocab_size=self.vocab_size,
        nlayers=16,
        nhid=4096,
        ninp=1024,
        nhead=32,
    )

float8_config = Float8LinearConfig(
    # pip install -U --index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/Triton-Nightly/pypi/simple/ triton-nightly  # noqa


</tr></table>

... (truncated)

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Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 2.4.0 to 2.5.0.post0.
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](Lightning-AI/pytorch-lightning@2.4.0...2.5.0.post0)

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

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependabot test-guided-notebooks Run PR check to verify Guided notebooks labels Dec 23, 2024
@openshift-ci openshift-ci bot requested review from astefanutti and Ygnas December 23, 2024 22:54
@codeflare-machine-account codeflare-machine-account added lgtm Indicates that a PR is ready to be merged. approved Indicates a PR has been approved by an approver from all required OWNERS files. labels Dec 23, 2024
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[APPROVALNOTIFIER] This PR is APPROVED

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dependabot bot commented on behalf of github Jan 2, 2025

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

@dependabot dependabot bot deleted the dependabot/pip/demo-notebooks/guided-demos/pytorch-lightning-2.5.0.post0 branch January 2, 2025 11:59
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