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RELEASE.md

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Version: 1.0.0

Major Features and Improvements

  • Fiddle - Praxis layers and BaseParameterizable are now configured with Fiddle, a Python-first configuration library. Fiddle reduces boilerplate, and adds productivity features including history tracking, graphviz visualization, support for aliasing objects, and more.
  • CLI Experiment and Data Injectability - Enable Pax users to select which experiments to run without the need to recompile for each experiment. Using a CLI interface based on Fiddle, users can override subsets of the experiment’s canonical dataset.
  • CLU Metrics - Praxis has adopted CLU metrics as its standard metric interface. This allows other Jax/Flax codebases that have CLU metrics to use them in Praxis.
  • Flax Interoperability - Praxis now supports shape inference, call for forward propagation, and has adopted Linen’s AxisMetadata for its mid-level sharding APIs. These changes improve interoperability with other Flax-based libraries such as T5X.

Note

  • Version: 1.0.0
  • Build Date: 20230329
  • Praxis commit: 621c2ca7bfcd0e21ea118a3d8e40e29b48313c0c

Version: 0.4.0

Note

  • Version: 0.4.0
  • Build Date: 20230329
  • Praxis commit: 621c2ca7bfcd0e21ea118a3d8e40e29b48313c0c

Version: 0.3.0

Major Features and Improvements

  • Fiddle migration
  • Improve numerical stability when using bfloat16
  • Improve and add new functionalities to decoding algorithms
  • Improve quantization support and add quantization aware training
  • Improve streaming support
  • Move learners / sgf and train_states modules to paxml
  • Misc renaming / API updates for consistency

Note

  • Version: 0.3.0
  • Build Date: 20230201
  • Praxis commit: 9e1d13d888ac18a567e249ddb41e6b1bd1fe505a

Version: 0.2.1

Note

  • Version: 0.2.1
  • Build Date: 20221121
  • Praxis commit: f7e98026c1c5ecbc6e4aff175621d443fa37fcf2

Version: 0.2.0

Major Features and Improvements

  • Preparatory work for Fiddle integration
  • Support for Flax shape inference
  • Support for Jax Array
  • Optimizer additions and improvements:
    • HeroLion
    • ShardedAdagrad
    • ShardedStaticAccumulator optimizer wrapper to do a fixed number of gradient accumulations
    • Shampoo improvements
    • Fix for multi-optimizer following the introduction of optax.MaskedNode
    • Improve sanitization of NaNs/Infs gradients during training
  • Decoding
    • Add support for ExtendNSteps
    • Add beam search support for sequence models
    • Set prefix_lengths by input_indicator for PrefixLM
    • Move decode post-processing tensors into host memory
  • Summaries
    • Add support for verbosity level
    • Add more knobs to the learner to control summary generation

Deprecations

  • Disallow hparams override in setup()
  • Hparams and layer names must now be distinct

Note

  • Version: 0.2.0
  • Build Date: 20221114
  • Praxis commit: 413da1ad8148f27faebca119f8c5deedca66228b

Version: 0.1.0

Major Features and Improvements

Breaking changes

Deprecations

Note

  • Version: 0.1.0
  • Build Date: 20220702
  • Commit: