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19 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
Seonuk Kim
3b6d54007b
Update conformer.py (#1857) 
* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension

* Update conformer.py

feedforward dimention -> feedforward dimension
 2025-01-06 13:17:02 +08:00
Fangjun Kuang
d4d4f281ec
Revert "Replace deprecated pytorch methods (#1814)" (#1841) 
This reverts commit 3e4da5f78160d3dba3bdf97968bd7ceb8c11631f.
 2024-12-18 16:49:57 +08:00
Li Peng
3e4da5f781
Replace deprecated pytorch methods (#1814) 
* Replace deprecated pytorch methods

- torch.cuda.amp.GradScaler(...) => torch.amp.GradScaler("cuda", ...)
- torch.cuda.amp.autocast(...) => torch.amp.autocast("cuda", ...)

* Replace `with autocast(...)` with `with autocast("cuda", ...)`


Co-authored-by: Li Peng <lipeng@unisound.ai>
 2024-12-16 10:24:16 +08:00
zr_jin
a81396b482
Use tokens.txt to replace bpe.model (#1162) 2023-08-12 16:53:59 +08:00
zr_jin
4ab7d61008
removed batch_name to fix a KeyError with "uttid" (#1172) 2023-07-15 12:39:32 +08:00
Fangjun Kuang
7b0afbdc16
Remove cur_batch_idx (#1102) 2023-05-30 14:49:54 +08:00
Daniil
b293db4baf
Tedlium3 conformer ctc2 (#696) 
* modify preparation

* small refacor

* add tedlium3 conformer_ctc2

* modify decode

* filter unk in decode

* add scaling converter

* address comments

* fix lambda function lhotse

* add implicit manifest shuffle

* refactor ctc_greedy_search

* import model arguments from train.py

* style fix

* fix ci test and last style issues

* update RESULTS

* fix RESULTS numbers

* fix label smoothing loss

* update model parameters number in RESULTS
 2022-12-13 16:13:26 +08:00
huangruizhe
6693d907d3
shuffle full Librispeech data (#574) 
* shuffled full/partial librispeech data

* fixed the code style issue

* Shuffled full librispeech data off-line

* Fixed style, addressed comments, and removed redandunt codes

* Used the suggested version of black

* Propagated the changes to other folders for librispeech (except
conformer_mmi and streaming_conformer_ctc)
 2022-11-27 11:26:09 +08:00
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
cad8f6aca4 merge upstream 2022-11-16 19:50:43 -05:00
Daniil
fca796cc2c
Small code refactoring (#687) 2022-11-17 06:55:53 +08:00
Desh Raj
d110b04ad3 apply new black formatting to all files 2022-11-16 13:06:43 -05:00
Fangjun Kuang
d1f16a04bd
fix type hints for decode.py (#623) 2022-10-18 06:56:12 +08:00
LIyong.Guo
923b60a7c6
padding zeros (#591) 2022-09-28 21:20:33 +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
Zengwei Yao
a4dd273776
fix about tensorboard (#516) 
* fix metricstracker

* fix style
 2022-08-04 19:57:12 +08:00
Quandwang
116d0cf26d
CTC attention model with reworked Conformer encoder and reworked Transformer decoder (#462) 
* ctc attention model with reworked conformer encoder and reworked transformer decoder

* remove unnecessary func

* resolve flake8 conflicts

* fix typos and modify the expr of ScaledEmbedding

* use original beam size

* minor changes to the scripts

* add rnn lm decoding

* minor changes

* check whether q k v weight is None

* check whether q k v weight is None

* check whether q k v weight is None

* style correction

* update results

* update results

* upload the decoding results of rnn-lm to the RESULTS

* upload the decoding results of rnn-lm to the RESULTS

* Update egs/librispeech/ASR/RESULTS.md

Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>

* Update egs/librispeech/ASR/RESULTS.md

Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>

* Update egs/librispeech/ASR/RESULTS.md

Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>

Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
 2022-07-22 15:31:25 +08:00