Fangjun Kuang
fba5e67d5e
Fix CI tests. ( #1974 )
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- 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
d4d4f281ec
Revert "Replace deprecated pytorch methods ( #1814 )" ( #1841 )
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This reverts commit 3e4da5f78160d3dba3bdf97968bd7ceb8c11631f.
2024-12-18 16:49:57 +08:00
Li Peng
3e4da5f781
Replace deprecated pytorch methods ( #1814 )
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* 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
5445ea6df6
Use shuffled LibriSpeech cuts instead ( #1450 )
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* use shuffled LibriSpeech cuts instead
* leave the old code in comments for reference
2024-01-08 15:09:21 +08:00
Zengwei Yao
4e832fa6b0
fix reduction conformer_ctc3/train.py ( #908 )
2023-02-14 20:45:38 +08:00
Wei Kang
c25c8c6ad1
Add need_repeat_flag in phone based ctc graph compiler ( #727 )
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* Fix is_repeat_token in icefall
* Fix phone based recipe
* Update egs/librispeech/ASR/conformer_ctc3/train.py
Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
* Fix black
Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
2022-12-04 17:20:17 +08:00
Zengwei Yao
ece728d895
Apply delay penalty on k2 ctc loss ( #669 )
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* add init files
* fix bug, apply delay penalty
* fix decoding code and getting timestamps
* add option applying delay penalty on ctc log-prob
* fix bug of streaming decoding
* minor change for bpe-based case
* add test_model.py
* add README.md
* add CI
2022-11-28 22:34:02 +08:00
