0.5.2c

• Fix NaN metric checkpoints taking priority over non-NaN ones.
• Upgrade deprecated Github actions.

0.5.2b

• Fix bug in image logger when x, y or y_pred is not a tensor.
• Add short section on metrics to docs.

0.5.2

• Add better support for custom data loaders.
• Make "val" dataset optional in SupervisedPipeline and GANPipeline. Model validation is skipped when not provided.

0.5.1

• Add logging of learning rate to supervised and GAN pipelines.
• Forbid extra fields in configs.
• Add additional meta field to Config class to allow additional information.
• Fix wrong total_iters value when creating linear LR scheduler.

0.5.0

This release removes PyTorch Ignite as a dependency and replaces it with a custom engine/event system.

This change was made due to conflicts between Ignite and Accelerate.

Some features have not yet been ported over from 0.3.x/0.4.x.

0.4.0.dev2

• Fixed bug when loading checkpoint with --checkpoint-keys argument.

0.4.0.dev1

• Integrated Accelerate
• Added name generation to avoid reliance on wandb
• Misc. bug fixes

0.3.3

• Fix bug in gradient accumulation.
• Simplify W&B logging in pipelines.
• Tweak GAN example config.
• Misc. updates to docs.

0.3.2

• Fixed bug where LR schedulers would have too short cycle length.
• Added explicit type cast of configs in template training scripts.

v0.3.1

• Added GAN training pipeline.