Lightning-AI/pytorch-lightning 0.8.5

Bug fixes and .test() fix + TPU tests

on GitHub

Overview

The point of this release is more bug fixes ahead of v 1.0.0. We now have CI tests on TPU thanks to @zcain117 from Google! 🙂
This means we fixed many TPU bugs we hadn’t caught before because we had no tests.
In addition, we fixed:

• all the file path errors with loggers (txs @awaelchli)
• pickling errors with loggers (txs @awaelchli)
• fixed all the .test() calls

Detail changes

Added

• Added a PSNR metric: peak signal-to-noise ratio (#2483)
• Added functional regression metrics (#2492)

Removed

• Removed auto val reduce (#2462)

Fixed

• Flattening Wandb Hyperparameters (#2459)
• Fixed using the same DDP python interpreter and actually running (#2482)
• Fixed model summary input type conversion for models that have input dtype different from model parameters (#2510)
• Made TensorBoardLogger and CometLogger pickleable (#2518)
• Fixed a problem with MLflowLogger creating multiple run folders (#2502)
• Fixed global_step increment (#2455)
• Fixed TPU hanging example (#2488)
• Fixed argparse default value bug (#2526)
• Fixed Dice and IoU to avoid NaN by adding small eps (#2545)
• Fixed accumulate gradients schedule at epoch 0 (continued) (#2513)
• Fixed Trainer .fit() returning last not best weights in "ddp_spawn" (#2565)
• Fixed passing (do not pass) TPU weights back on test (#2566)
• Fixed DDP tests and .test() (#2512, #2570)

Contributors

@anthonytec2, @awaelchli, @bernardomig, @Borda, @EspenHa, @HHousen, @InCogNiTo124, @rohitgr7, @williamFalcon

If we forgot someone due to not matching commit email with GitHub account, let us know :]