EngineX-Iluvatar/enginex_bi_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

---------

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/online-lm.h
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@@ -11,7 +11,7 @@
#include "onnxruntime_cxx_api.h" // NOLINT
#include "sherpa-onnx/csrc/hypothesis.h"
#include "sherpa-onnx/csrc/online-recognizer.h"
#include "sherpa-onnx/csrc/online-lm-config.h"
namespace sherpa_onnx {
@@ -19,7 +19,7 @@ class OnlineLM {
public:
virtual ~OnlineLM() = default;
static std::unique_ptr<OnlineLM> Create(const OnlineRecognizerConfig &config);
static std::unique_ptr<OnlineLM> Create(const OnlineLMConfig &config);
virtual std::pair<Ort::Value, std::vector<Ort::Value>> GetInitStates() = 0;