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13 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
Yifan Yang
5cd1636cb3
Fix a bug in decode.py (#893) 
Co-authored-by: yifanyang <yifanyeung@yifanyangs-MacBook-Pro.local>
 2023-02-09 12:12:23 +08:00
Zengwei Yao
af735eb75b
Get alignments using lhotse workflows align-with-torchaudio (#888) 
* add lhotse workflow align-with-torchaudio

* modify related decode.py files
 2023-02-08 21:54:35 +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
32de2766d5
Refactor getting timestamps in fsa-based decoding (#660) 
* refactor getting timestamps for fsa-based decoding

* fix doc

* fix bug
 2022-11-05 22:36:06 +08:00
Zengwei Yao
03668771d7
Get timestamps during decoding (#598) 
* print out timestamps during decoding

* add word-level alignments

* support to compute mean symbol delay with word-level alignments

* print variance of symbol delay

* update doc

* support to compute delay for pruned_transducer_stateless4

* fix bug

* add doc
 2022-11-01 10:24:00 +08:00
Fangjun Kuang
d1f16a04bd
fix type hints for decode.py (#623) 2022-10-18 06:56:12 +08:00
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