github pytorch/ignite v0.4.9
Features, bug fixes and housekeeping

latest releases: v0.5.1, v0.5.0.post2, v0.5.0.post1...
2 years ago

PyTorch-Ignite 0.4.9 - Release Notes

New Features

  • Added whitelist argument to log only desired weights/grads with experiment tracking system handlers: #2550, #2523
  • Added ReduceLROnPlateauScheduler parameter scheduler: #2449
  • Added filename components in Checkpoint: #2498
  • Added missing args to ModelCheckpoint, parity with Checkpoint: #2486
  • [BC-breaking] LRScheduler is now attachable to Events.ITERATION_STARTED: #2496

Bug fixes

  • Fixed zero_grad place in create_supervised_trainer resulting in grad zero logs: #2560, #2559, #2555, #2547
  • Fixed bug in Checkpoint when loading a single non-nn.Module object: #2487
  • Removed warning in DDP if Metric.reset/update are not decorated: #2549
  • [BC-breaking] Fixed SSIM metric implementation and issue with variable batch inputs: #2564, #2563
    • compute method now returns float instead of torch.Tensor

Housekeeping (docs, CI, examples, tests, etc)

Acknowledgments

🎉 Thanks to our community and all our contributors for the issues, PRs and 🌟 ⭐️ 🌟 !
💯 We really appreciate your implication into the project (in alphabetical order):

@Davidportlouis, @DevPranjal, @Ishan-Kumar2, @KevinMusgrave, @Moh-Yakoub, @asmayer, @divo12, @gorarakelyan, @jreese, @leotac, @nishantb06, @nmcguire101, @sadra-barikbin, @sayantan1410, @sdesrozis, @vfdev-5, @yuta0821

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