hexone2086 d1d3310543 feat: add TBPTT training with cross-batch hidden state carryover ...

- config: seq_len=128, batch_size=4 for long-sequence TBPTT
- dataset: create_tbptt_loader with non-overlapping windows, strict temporal order
- model: forward() accepts/exposes hidden state h; add step() for single-frame stateful inference
- train: carry detached hidden state across batches, reset at epoch boundary
- benchmark: fix model call for new (v_body, h) return signature

Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <vibe@mistral.ai>

2026-07-29 16:32:41 +08:00

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__init__.py

initial commit

2026-05-29 18:49:01 +08:00

benchmark.py

initial commit

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config.py

initial commit

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evaluate.py

feat: add TBPTT training with cross-batch hidden state carryover

2026-07-29 16:32:41 +08:00