This PR integrates LODR (Level-Ordered Deterministic Rescoring) support from Icefall into both online and offline recognizers, enabling LODR for LM shallow fusion and LM rescore.
- Extended OnlineLMConfig and OfflineLMConfig to include lodr_fst, lodr_scale, and lodr_backoff_id.
- Implemented LodrFst and LodrStateCost classes and wired them into RNN LM scoring in both online and offline code paths.
- Updated Python bindings, CLI entry points, examples, and CI test scripts to accept and exercise the new LODR options.
* rnnlm model inference supports num_threads setting
* rnnlm params decouple num_thread and provider with Transducer.
* fix python csrc bug which offline-lm-config.cc and online-lm-config.cc arguments problem
* lm_num_threads and lm_provider set default values
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Co-authored-by: cuidongcai1035 <cuidongcai1035@wezhuiyi.com>
