Catalyst Files

[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