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
Desh Raj
d31db01037
manual correction of black formatting
2022-11-17 14:18:05 -05:00
Desh Raj
107df3b115
apply black on all files
2022-11-17 09:42:17 -05:00
Fangjun Kuang
60317120ca
Revert "Apply new Black style changes"
2022-11-17 20:19:32 +08:00
Desh Raj
d110b04ad3
apply new black formatting to all files
2022-11-16 13:06:43 -05:00
Zengwei Yao
f3ad32777a
Gradient filter for training lstm model ( #564 )
...
* init files
* add gradient filter module
* refact getting median value
* add cutoff for grad filter
* delete comments
* apply gradient filter in LSTM module, to filter both input and params
* fix typing and refactor
* filter with soft mask
* rename lstm_transducer_stateless2 to lstm_transducer_stateless3
* fix typos, and update RESULTS.md
* minor fix
* fix return typing
* fix typo
2022-09-29 11:15:43 +08:00
