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	8136ad775b	Use high_freq -400 in computing fbank features. (#1447) ... See also https://github.com/k2-fsa/sherpa-onnx/issues/514	2024-01-04 13:59:32 +08:00
zr_jin	a81396b482	Use tokens.txt to replace bpe.model (#1162)	2023-08-12 16:53:59 +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