24 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
marcoyang1998
d337398d29
Shallow fusion for Aishell (#954)
* add shallow fusion and LODR for aishell

* update RESULTS

* add save by iterations
2023-04-03 16:20:29 +08:00
Zengwei Yao
2a5a75cb56
add option of using full attention for streaming model decoding (#975) 2023-03-30 14:30:13 +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
marcoyang1998
1f0408b103
Support Transformer LM (#750)
* support transformer LM

* show number of parameters during training

* update docstring

* testing files for ppl calculation

* add lm wrampper for rnn and transformer LM

* apply lm wrapper in lm shallow fusion

* small updates

* update decode.py to support LM fusion and LODR

* add export.py

* update CI and workflow

* update decoding results

* fix CI

* remove transformer LM from CI test
2022-12-29 10:53:36 +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
marcoyang
a2d7095c1c resolve conflicts 2022-11-04 11:37:42 +08:00
marcoyang
b3c61b85e3 minor fixes 2022-11-04 11:32:09 +08:00
Wei Kang
64aed2cdeb
Fix LG log file name (#657) 2022-11-03 23:12:35 +08:00
Wei Kang
163d929601
Add fast_beam_search_LG (#622)
* Add fast_beam_search_LG

* add fast_beam_search_LG to commonly used recipes

* fix ci

* fix ci

* Fix error
2022-11-03 16:29:30 +08:00
marcoyang
2a52b8c125 update docs 2022-11-03 11:10:21 +08:00
marcoyang
fb45b95c90 minor fixes 2022-11-02 18:11:39 +08:00
marcoyang
0a46a39e24 update decoding commands 2022-11-02 17:25:31 +08:00
marcoyang
63d0a52dbd support RNNLM shallow fusion in stateless5 2022-11-02 16:37:29 +08:00
Wei Kang
d389524d45
remove tail padding for non-streaming models (#625) 2022-11-01 11:09:56 +08:00
Fangjun Kuang
d1f16a04bd
fix type hints for decode.py (#623) 2022-10-18 06:56:12 +08:00
Wei Kang
5c17255eec
Sort results to make it more convenient to compare decoding results (#522)
* Sort result to make it more convenient to compare decoding results

* Add cut_id to recognition results

* add cut_id to results for all recipes

* Fix torch.jit.script

* Fix comments

* Minor fixes

* Fix torch.jit.tracing for Pytorch version before v1.9.0
2022-08-12 07:12:50 +08:00
Wei Kang
2f75236c05
Support dynamic chunk streaming training in pruned_transcuder_stateless5 (#454)
* support dynamic chunk streaming training

* Add simulate streaming decoding

* Support streaming decoding

* fix causal

* Minor fixes

* fix streaming decode; add results
2022-07-29 16:40:06 +08:00
Fangjun Kuang
dc89b61b80
Add fast_beam_search_nbest. (#420)
* Add fast_beam_search_nbest.

* Fix CI errors.

* Fix CI errors.

* More fixes.

* Small fixes.

* Support using log_add in LG decoding with fast_beam_search.

* Support LG decoding in pruned_transducer_stateless

* Support LG for pruned_transducer_stateless2.

* Support LG for fast beam search.

* Minor fixes.
2022-06-22 00:09:25 +08:00
Fangjun Kuang
2f1e23cde1
Narrower and deeper conformer (#330)
* Copy files for editing.

* Add random combine from #229.

* Minor fixes.

* Pass model parameters from the command line.

* Fix warnings.

* Fix warnings.

* Update readme.

* Rename to avoid conflicts.

* Update results.

* Add CI for pruned_transducer_stateless5

* Typo fixes.

* Remove random combiner.

* Update decode.py and train.py to use periodically averaged models.

* Minor fixes.

* Revert to use random combiner.

* Update results.

* Minor fixes.
2022-05-23 14:39:11 +08:00