- 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
* parse timestamps and texts for BPE-based models
* parse timestamps (frame indexes) and texts for other cases
* add test functions
* add parse_fsa_timestamps_and_texts function, test in conformer_ctc3/decode.py
* calculate symbol delay for (start, end) timestamps