From e0fa63765bfb4a36bde7047c2a6066ca5a80e90f Mon Sep 17 00:00:00 2001
From: Yabin Li <wucong.lyb@alibaba-inc.com>
Date: 星期一, 21 八月 2023 10:37:42 +0800
Subject: [PATCH] Dev hw (#878)
---
funasr/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp | 37 ++++++++++++++++++++++++++++++-------
1 files changed, 30 insertions(+), 7 deletions(-)
diff --git a/funasr/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp b/funasr/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp
index 83eb742..b847bf8 100644
--- a/funasr/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp
+++ b/funasr/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp
@@ -29,17 +29,18 @@
std::mutex mtx;
void runReg(FUNASR_HANDLE asr_handle, vector<string> wav_list, vector<string> wav_ids,
- float* total_length, long* total_time, int core_id) {
+ float* total_length, long* total_time, int core_id, string hotwords) {
struct timeval start, end;
long seconds = 0;
float n_total_length = 0.0f;
long n_total_time = 0;
+ std::vector<std::vector<float>> hotwords_embedding = CompileHotwordEmbedding(asr_handle, hotwords);
// warm up
for (size_t i = 0; i < 1; i++)
{
- FUNASR_RESULT result=FunOfflineInfer(asr_handle, wav_list[0].c_str(), RASR_NONE, NULL, 16000);
+ FUNASR_RESULT result=FunOfflineInfer(asr_handle, wav_list[0].c_str(), RASR_NONE, NULL, hotwords_embedding, 16000);
if(result){
FunASRFreeResult(result);
}
@@ -53,7 +54,7 @@
}
gettimeofday(&start, NULL);
- FUNASR_RESULT result=FunOfflineInfer(asr_handle, wav_list[i].c_str(), RASR_NONE, NULL, 16000);
+ FUNASR_RESULT result=FunOfflineInfer(asr_handle, wav_list[i].c_str(), RASR_NONE, NULL, hotwords_embedding, 16000);
gettimeofday(&end, NULL);
seconds = (end.tv_sec - start.tv_sec);
@@ -107,14 +108,15 @@
TCLAP::CmdLine cmd("funasr-onnx-offline-rtf", ' ', "1.0");
TCLAP::ValueArg<std::string> model_dir("", MODEL_DIR, "the model path, which contains model.onnx, config.yaml, am.mvn", true, "", "string");
- TCLAP::ValueArg<std::string> quantize("", QUANTIZE, "false (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir", false, "false", "string");
+ TCLAP::ValueArg<std::string> quantize("", QUANTIZE, "true (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir", false, "true", "string");
TCLAP::ValueArg<std::string> vad_dir("", VAD_DIR, "the vad model path, which contains model.onnx, vad.yaml, vad.mvn", false, "", "string");
- TCLAP::ValueArg<std::string> vad_quant("", VAD_QUANT, "false (Default), load the model of model.onnx in vad_dir. If set true, load the model of model_quant.onnx in vad_dir", false, "false", "string");
+ TCLAP::ValueArg<std::string> vad_quant("", VAD_QUANT, "true (Default), load the model of model.onnx in vad_dir. If set true, load the model of model_quant.onnx in vad_dir", false, "true", "string");
TCLAP::ValueArg<std::string> punc_dir("", PUNC_DIR, "the punc model path, which contains model.onnx, punc.yaml", false, "", "string");
- TCLAP::ValueArg<std::string> punc_quant("", PUNC_QUANT, "false (Default), load the model of model.onnx in punc_dir. If set true, load the model of model_quant.onnx in punc_dir", false, "false", "string");
+ TCLAP::ValueArg<std::string> punc_quant("", PUNC_QUANT, "true (Default), load the model of model.onnx in punc_dir. If set true, load the model of model_quant.onnx in punc_dir", false, "true", "string");
TCLAP::ValueArg<std::string> wav_path("", WAV_PATH, "the input could be: wav_path, e.g.: asr_example.wav; pcm_path, e.g.: asr_example.pcm; wav.scp, kaldi style wav list (wav_id \t wav_path)", true, "", "string");
TCLAP::ValueArg<std::int32_t> thread_num("", THREAD_NUM, "multi-thread num for rtf", true, 0, "int32_t");
+ TCLAP::ValueArg<std::string> hotword("", HOTWORD, "*.txt(one hotword perline) or hotwords seperate by | (could be: 闃块噷宸村反 杈炬懇闄�)", false, "", "string");
cmd.add(model_dir);
cmd.add(quantize);
@@ -124,6 +126,7 @@
cmd.add(punc_quant);
cmd.add(wav_path);
cmd.add(thread_num);
+ cmd.add(hotword);
cmd.parse(argc, argv);
std::map<std::string, std::string> model_path;
@@ -149,6 +152,26 @@
long seconds = (end.tv_sec - start.tv_sec);
long modle_init_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
LOG(INFO) << "Model initialization takes " << (double)modle_init_micros / 1000000 << " s";
+
+ // read hotwords
+ std::string hotword_ = hotword.getValue();
+ std::string hotwords_;
+
+ if(is_target_file(hotword_, "txt")){
+ ifstream in(hotword_);
+ if (!in.is_open()) {
+ LOG(ERROR) << "Failed to open file: " << model_path.at(HOTWORD) ;
+ return 0;
+ }
+ string line;
+ while(getline(in, line))
+ {
+ hotwords_ +=line+HOTWORD_SEP;
+ }
+ in.close();
+ }else{
+ hotwords_ = hotword_;
+ }
// read wav_path
vector<string> wav_list;
@@ -188,7 +211,7 @@
int rtf_threds = thread_num.getValue();
for (int i = 0; i < rtf_threds; i++)
{
- threads.emplace_back(thread(runReg, asr_handle, wav_list, wav_ids, &total_length, &total_time, i));
+ threads.emplace_back(thread(runReg, asr_handle, wav_list, wav_ids, &total_length, &total_time, i, hotwords_));
}
for (auto& thread : threads)
--
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