Bump pytorch-lightning from 1.6.5 to 1.7.0 in /requirements

[dependabot]

Bumps pytorch-lightning from 1.6.5 to 1.7.0.

Release notes

Sourced from pytorch-lightning's releases.

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 ⚡

• Highlights
• Backward Incompatible Changes
• Deprecations
• Full Changelog
• Contributors

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
trainer = pl.Trainer(accelerator=MPSAccelerator())
Defaults to "mps" when run on M1 or M2 Apple machines
to avoid code changes when switching computers
trainer = pl.Trainer(accelerator="gpu")

Native Fully Sharded Data Parallel Strategy

PyTorch 1.12 also added native support for Fully Sharded Data Parallel (FSDP). Previously, PyTorch Lightning enabled this by using the fairscale project. You can now choose between both options.

---

NOTE

Support for this strategy is marked as beta in PyTorch.

---

</tr></table> 

... (truncated)

Commits

• d2c086b Prepare changelog for 1.7 release (#13979)
• f576ed3 Fix resuming the tqdm progress bar (#13962)
• ff2e329 Update version to 1.7.0 for release (#13977)
• af07e75 Fix MPS availability check (#13947)
• d8e5e7f Fix mypy typing errors in pytorch_lightning/strategies/tpu_spawn.py (#13813)
• 0fbfbf9 Make tbptt imports Python 3.10 compatible (#13973)
• 2919dcf [CLI] add support for cluster management (#13835)
• b3203d9 Added support for HPU device stats monitor (#13819)
• eb233ea Snapshot selected globals and restore them in spawned process (#13921)
• 91bdacf Bump actions/cache from 2 to 3 (#13955)
• Additional commits viewable in compare view

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[adamjstewart]

We should avoid direct imports like:

from pytorch_lightning.core.lightning import LightningModule

This path isn't documented anywhere and was changed to pytorch_lightning.core.module.LightningModule (deprecated in 1.7, removed in 1.9). Instead, we should use:

import pytorch_lightning as pl
...
pl.LightningModule

This should work for every version.

When creating the 0.3.1 release, it should be noted that this PR adds support for pytorch_lightning 1.9+.

[adamjstewart]

Both of these parameters have been deprecated since v1.5 and removed in v1.7.