v0.0.2
Released on June 26, 2019.
- Added support for PyTorch 1.1.
- Refined public APIs.
- Detailed documentation.
- Proper exceptions for invalid usage.
- Provided automatic balancing.
- Provided inspecting utilities:
current_microbatch()
andis_recomputing()
. - Reimplemented deferred batch normalization by subclassing.