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README.md 2020-04-21 1.7 kB
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v0.4.0 source code.tar.gz 2020-04-21 1.3 MB
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v0.4.0 source code.zip 2020-04-21 1.4 MB
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New Features

  • Release EfficientNet model implementation (#475)
  • Add support to convert any PyTorch model to a ClassyModel with the ability to attach heads to it (#461)
  • Added a corresponding tutorial on ClassyModel and ClassyHeads (#485)
  • Squeeze and Excitation support for ResNe(X)t and DenseNet models (#426, [#427])
  • Made ClassyHooks registrable (#401) and configurable (#402)
  • Migrated to TorchElastic v0.2.0 (#464)
  • Add SyncBatchNorm support (#423)
  • Implement mixup train augmentation (#469)
  • Support LARC for SGD optimizer (#408)
  • Added convenience wrappers for Iterable datasets (#455)
  • Tensorboard improvements
  • Plot histograms of model weights to Tensorboard (#432)
  • Reduce data logged to tensorboard (#436)
  • Invalid (NaN / Inf) loss detection
  • Revamped logging (#478)
  • Add bn_weight_decay configuration option for ResNe(X)t models
  • Support specifying update_interval to Parameter Schedulers (#418)

Breaking changes

  • ClassificationTask API improvement and train_step, eval_step simplification
  • Removed local_variables from ClassificationTask (#411, [#412], [#413], [#414], [#416], [#421])
  • Move use_gpu from ClassyTrainer to ClassificationTask (#468)
  • Move num_dataloader_workers out of ClassyTrainer (#477)
  • Rename lr to value in parameter schedulers (#417)
Source: README.md, updated 2020-04-21