EngineX-Iluvatar/enginex-mr_series-sherpa-onnx
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RNNLM model support lm_num_thread and lm_provider setting (#173)

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* 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>
This commit is contained in:
keanu
2023-06-12 15:51:27 +08:00
committed by GitHub
parent 13b33fcc08
commit 1a1b9fd236
18 changed files with 67 additions and 31 deletions
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4
sherpa-onnx/csrc/offline-lm-config.cc
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@@ -14,6 +14,10 @@ namespace sherpa_onnx {
void OfflineLMConfig::Register(ParseOptions *po) {
po->Register("lm", &model, "Path to LM model.");
po->Register("lm-scale", &scale, "LM scale.");
po->Register("lm-num-threads", &lm_num_threads,
"Number of threads to run the neural network of LM model");
po->Register("lm-provider", &lm_provider,
"Specify a provider to LM model use: cpu, cuda, coreml");
}
bool OfflineLMConfig::Validate() const {