github pytorch/ignite v0.4.11
New features, bug fixes and housekeeping

latest releases: v0.5.1, v0.5.0.post2, v0.5.0.post1...
21 months ago

PyTorch-Ignite 0.4.11 - Release Notes

New Features

Engine and Events

  • Added before and after events filters (#2727)
  • Can mix every and before/after event filters (#2860)
  • once event filter can accept a sequence of int (#2858)
# "once" event filter
@engine.on(Events.ITERATION_STARTED(once=[50, 60]))
def call_once(engine):
    # do something on 50th and 60th iterations

# "before" and "after" event filter
@engine.on(Events.EPOCH_STARTED(after=10, before=30))
def call_after_and_before(engine):
    # do something in 11 to 29 epoch

# Mixing "every" and "before" / "after" event filters
@engine.on(Events.EPOCH_STARTED(every=5, after=8, before=25))
def call_after_and_before_every(engine):
    # do something on 9, 14, 19, 24 epochs
  • Improved deterministic engine (#2756)
  • Grad accumulation should not effect value of loss (#2737)
  • Added model_transform in create supervised trainer (#2848)

Distributed module

  • Updated idist.all_gather to take group arg (#2715)
  • Updated idist.all_reduce to take group arg (#2712)
  • Added idist.new_group method (#2711)

Metrics and handlers

  • Updated LRFinder to have more than one parameter (#2704)
  • Added get_param method to ParamGroupScheduler (#2720)
  • Updated Polyaxon_logger (#2776)
  • Dropped TrainsLoger and TrainsSaver also removed the BC code (#2742)
  • Refactored PSNR and SSIM (#2797)
  • [BC-breaking] Aligned SSIM output with PSNR output, both give tensors (#2794)
  • Added distributed support to RocCurve (#2802)
  • Refactored EpochMetric and made it idempotent (#2800)

Bug fixes

  • Fixed device issue with metric tests SSIM, updated PSNR (#2796)
  • Fixed LRScheduler issue and fixed CI (#2780)
  • Fixed the code and now raise ModuleNotFoundError instead of RuntimeError (#2750)
  • Fixed sync_all_reduce to cover update->compute->update case (#2803)

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):

@DeepC004, @JakubDz2208, @Moh-Yakoub, @RishiKumarRay, @abhi-glitchhg, @crj1998, @guptaaryan16, @louis-she, @pacificdragon, @puhuk, @sadra-barikbin, @sallycaoyu, @soma2000-lang, @theory-in-progress, @vfdev-5, @ydcjeff

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