From 3b0526e7be3565c42007313b90a018a2f8c8dff1 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 04 六月 2024 11:21:36 +0800
Subject: [PATCH] update with main (#1783)
---
runtime/websocket/bin/funasr-wss-server.cpp | 72 +++++++++++++++++++++++-------------
1 files changed, 46 insertions(+), 26 deletions(-)
diff --git a/runtime/websocket/bin/funasr-wss-server.cpp b/runtime/websocket/bin/funasr-wss-server.cpp
index 2732add..100cf35 100644
--- a/runtime/websocket/bin/funasr-wss-server.cpp
+++ b/runtime/websocket/bin/funasr-wss-server.cpp
@@ -26,12 +26,19 @@
}
int main(int argc, char* argv[]) {
+#ifdef _WIN32
+ #include <windows.h>
+ SetConsoleOutputCP(65001);
+#endif
try {
google::InitGoogleLogging(argv[0]);
FLAGS_logtostderr = true;
-
- TCLAP::CmdLine cmd("funasr-wss-server", ' ', "1.0");
+ std::string offline_version = "";
+#ifdef _WIN32
+ offline_version = "0.1.0";
+#endif
+ TCLAP::CmdLine cmd("funasr-wss-server", ' ', offline_version);
TCLAP::ValueArg<std::string> download_model_dir(
"", "download-model-dir",
"Download model from Modelscope to download_model_dir",
@@ -43,11 +50,15 @@
TCLAP::ValueArg<std::string> model_revision(
"", "model-revision",
"ASR model revision",
- false, "v1.2.1", "string");
+ false, "v2.0.4", "string");
TCLAP::ValueArg<std::string> quantize(
"", QUANTIZE,
"true (Default), load the model of model_quant.onnx in model_dir. If set "
"false, load the model of model.onnx in model_dir",
+ false, "true", "string");
+ TCLAP::ValueArg<std::string> bladedisc(
+ "", BLADEDISC,
+ "true (Default), load the model of bladedisc in model_dir.",
false, "true", "string");
TCLAP::ValueArg<std::string> vad_dir(
"", VAD_DIR,
@@ -56,7 +67,7 @@
TCLAP::ValueArg<std::string> vad_revision(
"", "vad-revision",
"VAD model revision",
- false, "v1.2.0", "string");
+ false, "v2.0.4", "string");
TCLAP::ValueArg<std::string> vad_quant(
"", VAD_QUANT,
"true (Default), load the model of model_quant.onnx in vad_dir. If set "
@@ -70,7 +81,7 @@
TCLAP::ValueArg<std::string> punc_revision(
"", "punc-revision",
"PUNC model revision",
- false, "v1.1.7", "string");
+ false, "v2.0.4", "string");
TCLAP::ValueArg<std::string> punc_quant(
"", PUNC_QUANT,
"true (Default), load the model of model_quant.onnx in punc_dir. If set "
@@ -88,7 +99,7 @@
"0.0.0.0", "string");
TCLAP::ValueArg<int> port("", "port", "port", false, 10095, "int");
TCLAP::ValueArg<int> io_thread_num("", "io-thread-num", "io thread num",
- false, 8, "int");
+ false, 2, "int");
TCLAP::ValueArg<int> decoder_thread_num(
"", "decoder-thread-num", "decoder thread num", false, 8, "int");
TCLAP::ValueArg<int> model_thread_num("", "model-thread-num",
@@ -108,12 +119,14 @@
TCLAP::ValueArg<std::string> lm_dir("", LM_DIR,
"the LM model path, which contains compiled models: TLG.fst, config.yaml ", false, "damo/speech_ngram_lm_zh-cn-ai-wesp-fst", "string");
TCLAP::ValueArg<std::string> lm_revision(
- "", "lm-revision", "LM model revision", false, "v1.0.1", "string");
+ "", "lm-revision", "LM model revision", false, "v1.0.2", "string");
TCLAP::ValueArg<std::string> hotword("", HOTWORD,
"the hotword file, one hotword perline, Format: Hotword Weight (could be: 闃块噷宸村反 20)",
false, "/workspace/resources/hotwords.txt", "string");
TCLAP::ValueArg<std::int32_t> fst_inc_wts("", FST_INC_WTS,
"the fst hotwords incremental bias", false, 20, "int32_t");
+ TCLAP::SwitchArg use_gpu("", INFER_GPU, "Whether to use GPU, default is false", false);
+ TCLAP::ValueArg<std::int32_t> batch_size("", BATCHSIZE, "batch_size for ASR model when using GPU", false, 4, "int32_t");
// add file
cmd.add(hotword);
@@ -128,6 +141,7 @@
cmd.add(model_dir);
cmd.add(model_revision);
cmd.add(quantize);
+ cmd.add(bladedisc);
cmd.add(vad_dir);
cmd.add(vad_revision);
cmd.add(vad_quant);
@@ -144,11 +158,14 @@
cmd.add(io_thread_num);
cmd.add(decoder_thread_num);
cmd.add(model_thread_num);
+ cmd.add(use_gpu);
+ cmd.add(batch_size);
cmd.parse(argc, argv);
std::map<std::string, std::string> model_path;
GetValue(model_dir, MODEL_DIR, model_path);
GetValue(quantize, QUANTIZE, model_path);
+ GetValue(bladedisc, BLADEDISC, model_path);
GetValue(vad_dir, VAD_DIR, model_path);
GetValue(vad_quant, VAD_QUANT, model_path);
GetValue(punc_dir, PUNC_DIR, model_path);
@@ -166,6 +183,8 @@
global_beam_ = global_beam.getValue();
lattice_beam_ = lattice_beam.getValue();
am_scale_ = am_scale.getValue();
+ bool use_gpu_ = use_gpu.getValue();
+ int batch_size_ = batch_size.getValue();
// Download model form Modelscope
try{
@@ -180,7 +199,7 @@
std::string s_itn_path = model_path[ITN_DIR];
std::string s_lm_path = model_path[LM_DIR];
- std::string python_cmd = "python -m funasr.utils.runtime_sdk_download_tool --type onnx --quantize True ";
+ std::string python_cmd = "python -m funasr.download.runtime_sdk_download_tool --type onnx --quantize True ";
if(vad_dir.isSet() && !s_vad_path.empty()){
std::string python_cmd_vad;
@@ -223,28 +242,29 @@
std::string down_asr_path;
std::string down_asr_model;
+ // modify model-revision by model name
+ size_t found = s_asr_path.find("speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404");
+ if (found != std::string::npos) {
+ model_path["model-revision"]="v2.0.4";
+ }
+
+ found = s_asr_path.find("speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404");
+ if (found != std::string::npos) {
+ model_path["model-revision"]="v2.0.5";
+ }
+
+ found = s_asr_path.find("speech_paraformer-large_asr_nat-en-16k-common-vocab10020");
+ if (found != std::string::npos) {
+ model_path["model-revision"]="v2.0.4";
+ s_itn_path="";
+ s_lm_path="";
+ }
+
if (access(s_asr_path.c_str(), F_OK) == 0){
// local
python_cmd_asr = python_cmd + " --model-name " + s_asr_path + " --export-dir ./ " + " --model_revision " + model_path["model-revision"];
down_asr_path = s_asr_path;
}else{
- size_t found = s_asr_path.find("speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404");
- if (found != std::string::npos) {
- model_path["model-revision"]="v1.2.4";
- }
-
- found = s_asr_path.find("speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404");
- if (found != std::string::npos) {
- model_path["model-revision"]="v1.0.5";
- }
-
- found = s_asr_path.find("speech_paraformer-large_asr_nat-en-16k-common-vocab10020");
- if (found != std::string::npos) {
- model_path["model-revision"]="v1.0.0";
- s_itn_path="";
- s_lm_path="";
- }
-
// modelscope
LOG(INFO) << "Download model: " << s_asr_path << " from modelscope: ";
python_cmd_asr = python_cmd + " --model-name " + s_asr_path + " --export-dir " + s_download_model_dir + " --model_revision " + model_path["model-revision"];
@@ -460,7 +480,7 @@
WebSocketServer websocket_srv(
io_decoder, is_ssl, server, wss_server, s_certfile,
s_keyfile); // websocket server for asr engine
- websocket_srv.initAsr(model_path, s_model_thread_num); // init asr model
+ websocket_srv.initAsr(model_path, s_model_thread_num, use_gpu_, batch_size_); // init asr model
LOG(INFO) << "decoder-thread-num: " << s_decoder_thread_num;
LOG(INFO) << "io-thread-num: " << s_io_thread_num;
--
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