v1.2.2
Added
- Scheduler restart policy: Allow resumed training to preserve optimizer tensor state while explicitly restarting a newly configured learning-rate schedule; complete scheduler restoration remains the default.
Fixed
- Iteration-based training limits: Keep positive explicit iteration counts independent from epoch limits so ordinary and resumed runs do not stop after one input pass.
Full Changelog: v1.2.1...v1.2.2