catalyst-team / segmentation

Catalyst.Segmentation
https://github.com/catalyst-team/catalyst
Apache License 2.0
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Bump catalyst[cv] from 20.7 to 21.3.1 in /requirements #59

Closed dependabot-preview[bot] closed 3 years ago

dependabot-preview[bot] commented 3 years ago

Bumps catalyst[cv] from 20.7 to 21.3.1.

Release notes

Sourced from catalyst[cv]'s releases.

v21.03.1

[21.03.1] - 2021-03-28

Added

  • Additive Margin SoftMax(AMSoftmax)(#1125)
  • Generalized Mean Pooling(GeM)(#1084)
  • Key-value support for CriterionCallback (#1130)
  • Engine configuration through cmd (#1134)
  • Extra utils for thresholds (#1134)
  • Added gradient clipping function to optimizer callback (1124)
  • FactorizedLinear to contrib (1142)
  • Extra init params for ConsoleLogger (1142)
  • Tracing, Quantization, Onnx, Pruninng Callbacks (1127)
  • _key_value for schedulers in case of multiple optimizers fixed (#1146)

Changed

  • CriterionCallback now inherits from BatchMetricCallback #1130)
    • united metrics computation logic

Removed

  • Config API deprecated parsings logic (1142) (1138)

Fixed

  • Data-Model device sync and Engine logic during runner.predict_loader (#1134)
  • BatchLimitLoaderWrapper logic for loaders with shuffle flag (#1136)
  • config description in the examples (1142)
  • Config API deprecated parsings logic (1142) (1138)
  • RecSys metrics Top_k calculations (#1140 (catalyst-team/catalyst#1140))

Catalyst 21.03

The v20 is dead, long live the v21!

[21.03] - 2021-03-13 (#1095)

Added

  • Engine abstraction to support various hardware backends and accelerators: CPU, GPU, multi GPU, distributed GPU, TPU, Apex, and AMP half-precision training.
  • Logger abstraction to support various monitoring tools: console, tensorboard, MLflow, etc.
  • Trial abstraction to support various hyperoptimization tools: Optuna, Ray, etc.
  • Metric abstraction to support various of machine learning metrics: classification, segmentation, RecSys and NLP.
  • Full support for Hydra API.
  • Full DDP support for Python API.
  • MLflow support for metrics logging.
  • United API for model post-processing: tracing, quantization, pruning, onnx-exporting.
  • United API for metrics: classification, segmentation, RecSys, and NLP with full DDP and micro/macro/weighted/etc aggregations support.

... (truncated)

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dependabot-preview[bot] commented 3 years ago

Superseded by #60.