v0.0.6

What's Changed

• Adding logging for the number of parameters and optimizer state. by @copybara-service in #125
• Adding automatic cross-device averaging of auxiliary loss/models stats to optimizer. by @copybara-service in #139
• Add rel_grad_norm and rel_update_norm stats logging by @copybara-service in #147
• Fixing bug that would sometimes cause an exception for networks with scalar-valued parameters. by @copybara-service in #151
• [JAX] Migrate XlaBuilder users to emit direct stablehlo MLIR lowerings. by @copybara-service in #161
• Still fixing docs requirements dependencies. by @copybara-service in #166
• Still fixing docs requirements dependencies. by @copybara-service in #169
• Still fixing docs requirements dependencies. by @copybara-service in #171
• Still fixing docs requirements dependencies. by @copybara-service in #173
• Adding capability pass custom arguments to the registration functions, and call them in a custom module, for standard losses in the example code. by @copybara-service in #175
• Fix or ignore some pytype errors. by @copybara-service in #177
• [LSC] Ignore incorrect type annotations related to jax.numpy APIs by @copybara-service in #176
• • Adding a sum_of_objects. by @copybara-service in #190
• • Adding Polyak averaging feature to example experiments codebase. by @copybara-service in #195
• Adding precon_damping_mult feature to optimizer. by @copybara-service in #196
• Reland google/jax#10573. by @copybara-service in #199
• • minor refactoring by @copybara-service in #201
• Fixing issue where loss_registered_reldiff was not computed properly in multi-device settings. by @copybara-service in #202
• Adding a new schedule and applying some fixes to existing ones in the examples codebase. by @copybara-service in #204
• Remove gradient normalization from the preconditioning function by @copybara-service in #206

Full Changelog: v0.0.5...v0.0.6