icefall

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Commit Graph

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
zr_jin	d50a9ea030	doc str fixes (#1241 )	2023-09-07 16:34:53 +08:00
Zengwei Yao	bcc5923ab9	Support batch-wise forced-alignment (#970 ) * support batch-wise forced-alignment based on beam search * add length_norm to HypothesisList.topk() * Use Hypothesis and HypothesisList instead	2023-03-28 23:24:24 +08:00

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

zr_jin

d50a9ea030

doc str fixes (#1241 )

2023-09-07 16:34:53 +08:00

Zengwei Yao

bcc5923ab9

Support batch-wise forced-alignment (#970 )

* support batch-wise forced-alignment based on beam search

* add length_norm to HypothesisList.topk()

* Use Hypothesis and HypothesisList instead

2023-03-28 23:24:24 +08:00

3 Commits