Catalyst 21.11

[Scitator]

[21.11] - 2021-11-30

Tl;dr

Framework architecture simplification and speedup + SSL & RecSys extensions.

Added

• MultiVAE RecSys example (#1340)`
• Returned resume support - resolved #1193 (#1349)
• Smoothing dice loss to contrib (#1344)
• profile flag for runner.train (#1348)
• MultiDAE RecSys example (#1356)
• SETTINGS.log_batch_metrics, SETTINGS.log_epoch_metrics, SETTINGS.compute_per_class_metrics for framework-wise Metric & Logger APIs specification (#1357)
• log_batch_metrics and log_epoch_metrics options for all available Loggers (#1357)
• compute_per_class_metrics option for all available multiclass/label metrics (#1357)
• pytorch benchmark script and simplified MNIST (#1360)

Changed

• A few framework simplifications were made (#1346):
  • catalyst-contrib scripts reduced to collect-env and project-embeddings only
  • catalyst-dl scripts recuded to run and tune only
  • transforms. prefix deprecated for Catalyst-based transforms
  • catalyst.tools moved to catalyst.extras
  • task-dependent extensions from catalyst.data moved to catalyst.contrib.data
  • catalyst.data.transforms moved to catalyst.contrib.data.transforms
  • Normalize, ToTensor transforms renamed to NormalizeImage, ImageToTensor
  • metric learning extensions moved to catalyst.contrib.data
  • catalyst.contrib moved to code-as-a-documentation development
  • catalyst[cv] and catalyst[ml] extensions moved to flatten architecture design; examples: catalyst.contrib.data.dataset_cv, catalyst.contrib.data.dataset_ml
  • catalyst.contrib moved to flatten architecture design; exampels: catalyst.contrib.data, catalyst.contrib.datasets, catalyst.contrib.layers, catalyst.contrib.models, catalyst.contrib.optimizers, catalyst.contrib.schedulers
  • internal functionality moved to ***._misc modules
  • catalyst.utils.mixup moved to catalyst.utils.torch
  • catalyst.utils.numpy moved to catalyst.contrib.utils.numpy
• default logging logic moved from "batch & epoch" to "epoch"-only to save computation time during logging; to respecify, please use:
  • SETTINGS.log_batch_metrics=True/False or os.environ["CATALYST_LOG_BATCH_METRICS"]
  • SETTINGS.log_epoch_metrics=True/False or os.environ["CATALYST_LOG_EPOCH_METRICS"]
• default metrics computation moved from "per-class & aggregations" to "aggregations"-only to save computation time during logging; to respecify, please use:
  • SETTINGS.compute_per_class_metrics=True/False or os.environ["CATALYST_COMPUTE_PER_CLASS_METRICS"]
• no transformations required for MNIST contrib dataset (#1360

Removed

• A few framework simplifications were made (#1346):
  • catalyst.contrib.pandas
  • catalyst.contrib.parallel
  • catalyst.contrib.models.cv
  • a few catalyst.utils.misc functions
  • catalyst.extras removed from the public documentation

Fixed

• documentation search error (21.10 only) (#1346)
• docs examples (#1362)
• Self-Supervised benchmark: (#1365), (#1361)

Contributors ❤️

@asteyo @Dokholyan @Nimrais @y-ksenia @sergunya17

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This discussion was created from the release Catalyst 21.11.