4 Commits

Author SHA1 Message Date
Fangjun Kuang
fba5e67d5e
Fix CI tests. (#1974)
- Introduce unified AMP helpers (create_grad_scaler, torch_autocast) to handle 
  deprecations in PyTorch ≥2.3.0

- Replace direct uses of torch.cuda.amp.GradScaler and torch.cuda.amp.autocast 
  with the new utilities across all training and inference scripts

- Update all torch.load calls to include weights_only=False for compatibility with 
  newer PyTorch versions
2025-07-01 13:47:55 +08:00
Fangjun Kuang
f5de2e90c6
Fix style issues. (#937) 2023-03-08 22:56:04 +08:00
pehonnet
07243d136a
remove key from result filename (#936)
Co-authored-by: pe-honnet <pe.honnet@telepathy.ai>
2023-03-08 21:06:07 +08:00
Zengwei Yao
8eb4b9d96d
Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)
* init files

* add ctc as auxiliary loss and ctc_decode.py

* tuning the scalar of HLG score for 1best, nbest and nbest-oracle

* rename to pruned_transducer_stateless7_ctc

* fix doc

* fix bug, recover the hlg scores

* modify ctc_decode.py, move out the hlg scale

* fix hlg_scale

* add export.py and pretrained.py, and so on

* upload files, update README.md and RESULTS.md

* add CI test
2022-12-03 19:01:10 +08:00