- 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
* support consistency-regularized CTC
* update arguments of cr-ctc
* set default value of cr_loss_masked_scale to 1.0
* minor fix
* refactor codes
* update RESULTS.md
* Add PromptASR with BERT as text encoder
* Support using word-list based content prompts for context biasing
* Upload the pretrained models to huggingface
* Add usage example
* utils: add symlink_or_copyfile
* pruned_transducer_stateless7: use symlinks (when possible) to output best epochs
* Rename function
---------
Co-authored-by: Yifan Yang <64255737+yfyeung@users.noreply.github.com>
* add the zipformer codes, copied from branch from_dan_scaled_adam_exp1119
* support model export with torch.jit.script
* update RESULTS.md
* support exporting streaming model with torch.jit.script
* add results of streaming models, with some minor changes
* update README.md
* add CI test
* update k2 version in requirements-ci.txt
* update pyproject.toml
* copy files from zipformer librispeech
* Add byte bpe training for aishell
* compile LG graph
* Support LG decoding
* Minor fixes
* black
* Minor fixes
* export & fix pretrain.py
* fix black
* Update RESULTS.md
* Fix export.py
* 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
* init files
* add ctc as auxiliary loss and ctc_decode.py
* tuning the scalar of HLG score for 1best, nbest and nbest-oracle
* rename to pruned_transducer_stateless7_ctc
* fix doc
* fix bug, recover the hlg scores
* modify ctc_decode.py, move out the hlg scale
* fix hlg_scale
* add export.py and pretrained.py, and so on
* upload files, update README.md and RESULTS.md
* add CI test
* print out timestamps during decoding
* add word-level alignments
* support to compute mean symbol delay with word-level alignments
* print variance of symbol delay
* update doc
* support to compute delay for pruned_transducer_stateless4
* fix bug
* add doc
* Sort result to make it more convenient to compare decoding results
* Add cut_id to recognition results
* add cut_id to results for all recipes
* Fix torch.jit.script
* Fix comments
* Minor fixes
* Fix torch.jit.tracing for Pytorch version before v1.9.0
* add stats about duration and padding proportion
* add for utt_duration
* add stats for other recipes
* add stats for other 2 recipes
* modify doc
* minor change
* add pruned transducer stateless5 recipe for tal_csasr
* do some changes for merging
* change for conformer.py
* add wer and cer for Chinese and English respectively
* fix a error for conformer.py
