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
Tianxiang Zhao
30e7ea4b5a
Fix a bug in finetune.py --use-mux ( #1949 )
2025-05-22 12:05:01 +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
Zengwei Yao
334beed2af
fix usages of returned losses after adding attention-decoder in zipformer ( #1689 )
2024-07-12 16:50:58 +08:00
zr_jin
eb132da00d
additional instruction for the grad_scale is too small error ( #1550 )
2024-03-14 11:33:49 +08:00
Xiaoyu Yang
777074046d
Fine-tune recipe for Zipformer ( #1484 )
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1. support finetune zipformer
2. update the usage; set a very large batch count
2024-02-06 18:25:43 +08:00
