EngineX-Iluvatar/enginex-mr_series-sherpa-onnx
Archived
16
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

rnnlm model inference supports num_threads setting (#169)

Browse Source 
Co-authored-by: cuidongcai1035 <cuidongcai1035@wezhuiyi.com>
This commit is contained in:
keanu
2023-06-07 09:32:27 +08:00
committed by GitHub
parent 8fad17c87e
commit 9c017c2ccb
10 changed files with 25 additions and 20 deletions
Download Patch File Download Diff File Expand all files Collapse all files

11
sherpa-onnx/csrc/online-rnn-lm.cc
View File

@@ -13,17 +13,18 @@
#include "sherpa-onnx/csrc/macros.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
#include "sherpa-onnx/csrc/text-utils.h"
#include "sherpa-onnx/csrc/session.h"
namespace sherpa_onnx {
class OnlineRnnLM::Impl {
public:
explicit Impl(const OnlineLMConfig &config)
: config_(config),
explicit Impl(const OnlineRecognizerConfig &config)
: config_(config.lm_config),
env_(ORT_LOGGING_LEVEL_ERROR),
sess_opts_{},
sess_opts_{GetSessionOptions(config.model_config)},
allocator_{} {
Init(config);
Init(config.lm_config);
}
void ComputeLMScore(float scale, Hypothesis *hyp) {
@@ -142,7 +143,7 @@ class OnlineRnnLM::Impl {
int32_t sos_id_ = 1;
};
OnlineRnnLM::OnlineRnnLM(const OnlineLMConfig &config)
OnlineRnnLM::OnlineRnnLM(const OnlineRecognizerConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
OnlineRnnLM::~OnlineRnnLM() = default;