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icefall/egs/audioset/AT
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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
..
local
Support AudioSet training with weighted sampler (#1727)
2024-08-22 15:27:25 +08:00
zipformer
Fix CI tests. (#1974)
2025-07-01 13:47:55 +08:00
prepare.sh
Support AudioSet training with weighted sampler (#1727)
2024-08-22 15:27:25 +08:00
README.md
Add zipformer recipe for audio tagging (#1421)
2024-04-09 12:06:14 +08:00
RESULTS.md
Support AudioSet training with weighted sampler (#1727)
2024-08-22 15:27:25 +08:00
shared
Add zipformer recipe for audio tagging (#1421)
2024-04-09 12:06:14 +08:00

README.md

Introduction

This is an audio tagging recipe for Audioset. It aims at predicting the sound events of an audio clip.

./RESULTS.md contains the latest results.

Zipformer

Encoder Feature type
Zipformer Frame level fbank