KoalaTrapLord 83d05294c8 fix: type-guard logits after model() to prevent 'dict / float' inference crash ...

If self.model is wrapped (DataParallel, torch.compile, or future
PolicyValueNetwork path), forward() can return a tuple (logits, value)
or even a dict.  Add an explicit unwrap immediately after the forward
call in both predict() and predict_batch() so every downstream
temperature/softmax operation always receives a plain tensor.

2026-04-03 14:55:58 -04:00

..

__init__.py

Initial commit

2026-03-10 12:13:56 -04:00

online_learning_store.py

feat: Phase 5 architecture follow-up — zone boundary, WAL store, Forge-only defaults (#87)

2026-03-22 14:41:33 -04:00

policy_server.py

fix: type-guard logits after model() to prevent 'dict / float' inference crash

2026-04-03 14:55:58 -04:00