From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
runtime/websocket/bin/funasr-wss-server.cpp | 85 ++++++++++++++++++++++++++++++------------
1 files changed, 61 insertions(+), 24 deletions(-)
diff --git a/runtime/websocket/bin/funasr-wss-server.cpp b/runtime/websocket/bin/funasr-wss-server.cpp
index 3da7239..956c40e 100644
--- a/runtime/websocket/bin/funasr-wss-server.cpp
+++ b/runtime/websocket/bin/funasr-wss-server.cpp
@@ -45,16 +45,20 @@
false, "/workspace/models", "string");
TCLAP::ValueArg<std::string> model_dir(
"", MODEL_DIR,
- "default: /workspace/models/asr, the asr model path, which contains model_quant.onnx, config.yaml, am.mvn",
+ "default: /workspace/models/asr, the asr model path, which contains *.onnx/*.torchscript, config.yaml, am.mvn",
false, "/workspace/models/asr", "string");
TCLAP::ValueArg<std::string> model_revision(
"", "model-revision",
"ASR model revision",
- false, "v1.2.1", "string");
+ false, "v2.0.5", "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,
@@ -63,7 +67,7 @@
TCLAP::ValueArg<std::string> vad_revision(
"", "vad-revision",
"VAD model revision",
- false, "v1.2.0", "string");
+ false, "v2.0.6", "string");
TCLAP::ValueArg<std::string> vad_quant(
"", VAD_QUANT,
"true (Default), load the model of model_quant.onnx in vad_dir. If set "
@@ -77,7 +81,7 @@
TCLAP::ValueArg<std::string> punc_revision(
"", "punc-revision",
"PUNC model revision",
- false, "v1.1.7", "string");
+ false, "v2.0.5", "string");
TCLAP::ValueArg<std::string> punc_quant(
"", PUNC_QUANT,
"true (Default), load the model of model_quant.onnx in punc_dir. If set "
@@ -122,6 +126,7 @@
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);
@@ -136,6 +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);
@@ -153,11 +159,13 @@
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);
@@ -176,6 +184,7 @@
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{
@@ -189,8 +198,9 @@
std::string s_punc_quant = model_path[PUNC_QUANT];
std::string s_itn_path = model_path[ITN_DIR];
std::string s_lm_path = model_path[LM_DIR];
+ std::string s_blade = model_path[BLADEDISC];
- std::string python_cmd = "python -m funasr.download.runtime_sdk_download_tool --type onnx --quantize True ";
+ std::string python_cmd = "python -m funasr.download.runtime_sdk_download_tool ";
if(vad_dir.isSet() && !s_vad_path.empty()){
std::string python_cmd_vad;
@@ -199,12 +209,12 @@
if (access(s_vad_path.c_str(), F_OK) == 0){
// local
- python_cmd_vad = python_cmd + " --model-name " + s_vad_path + " --export-dir ./ " + " --model_revision " + model_path["vad-revision"];
+ python_cmd_vad = python_cmd + " --type onnx " + " --quantize " + s_vad_quant + " --model-name " + s_vad_path + " --export-dir ./ " + " --model_revision " + model_path["vad-revision"];
down_vad_path = s_vad_path;
}else{
// modelscope
LOG(INFO) << "Download model: " << s_vad_path << " from modelscope: ";
- python_cmd_vad = python_cmd + " --model-name " + s_vad_path + " --export-dir " + s_download_model_dir + " --model_revision " + model_path["vad-revision"];
+ python_cmd_vad = python_cmd + " --type onnx " + " --quantize " + s_vad_quant + " --model-name " + s_vad_path + " --export-dir " + s_download_model_dir + " --model_revision " + model_path["vad-revision"];
down_vad_path = s_download_model_dir+"/"+s_vad_path;
}
@@ -232,43 +242,70 @@
std::string python_cmd_asr;
std::string down_asr_path;
std::string down_asr_model;
+ std::string model_type = "onnx";
// 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"]="v1.2.4";
+ model_path["model-revision"]="v2.0.5";
}
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";
+ 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"]="v1.0.0";
+ model_path["model-revision"]="v2.0.5";
s_itn_path="";
s_lm_path="";
}
+ found = s_asr_path.find(MODEL_SVS);
+ if (found != std::string::npos) {
+ model_path["model-revision"]="v2.0.5";
+ s_itn_path="";
+ model_path[ITN_DIR]="";
+ s_lm_path="";
+ model_path[LM_DIR]="";
+ s_punc_path="";
+ model_path[PUNC_DIR]="";
+ }
+
+ if (use_gpu_){
+ model_type = "torchscript";
+ if (s_blade=="true" || s_blade=="True" || s_blade=="TRUE"){
+ model_type = "bladedisc";
+ }
+ }
+
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"];
+ python_cmd_asr = python_cmd + " --type " + model_type + " --quantize " + s_asr_quant + " --model-name " + s_asr_path + " --export-dir ./ " + " --model_revision " + model_path["model-revision"];
down_asr_path = s_asr_path;
}else{
// 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"];
+ python_cmd_asr = python_cmd + " --type " + model_type + " --quantize " + s_asr_quant + " --model-name " + s_asr_path + " --export-dir " + s_download_model_dir + " --model_revision " + model_path["model-revision"];
down_asr_path = s_download_model_dir+"/"+s_asr_path;
}
-
- int ret = system(python_cmd_asr.c_str());
- if(ret !=0){
- LOG(INFO) << "Failed to download model from modelscope. If you set local asr model path, you can ignore the errors.";
- }
+
down_asr_model = down_asr_path+"/model_quant.onnx";
if(s_asr_quant=="false" || s_asr_quant=="False" || s_asr_quant=="FALSE"){
down_asr_model = down_asr_path+"/model.onnx";
+ }
+
+ if (use_gpu_){
+ down_asr_model = down_asr_path+"/model.torchscript";
+ if (s_blade=="true" || s_blade=="True" || s_blade=="TRUE"){
+ down_asr_model = down_asr_path+"/model_blade.torchscript";
+ }
+ }
+
+ int ret = system(python_cmd_asr.c_str());
+ if(ret !=0){
+ LOG(INFO) << "Failed to download model from modelscope. If you set local asr model path, you can ignore the errors.";
}
if (access(down_asr_model.c_str(), F_OK) != 0){
@@ -289,7 +326,7 @@
if (access(s_itn_path.c_str(), F_OK) == 0) {
// local
- python_cmd_itn = python_cmd + " --model-name " + s_itn_path +
+ python_cmd_itn = python_cmd + " --type onnx " + " --model-name " + s_itn_path +
" --export-dir ./ " + " --model_revision " +
model_path["itn-revision"] + " --export False ";
down_itn_path = s_itn_path;
@@ -297,7 +334,7 @@
// modelscope
LOG(INFO) << "Download model: " << s_itn_path
<< " from modelscope : ";
- python_cmd_itn = python_cmd + " --model-name " +
+ python_cmd_itn = python_cmd + " --type onnx " + " --model-name " +
s_itn_path +
" --export-dir " + s_download_model_dir +
" --model_revision " + model_path["itn-revision"]
@@ -331,7 +368,7 @@
if (access(s_lm_path.c_str(), F_OK) == 0) {
// local
- python_cmd_lm = python_cmd + " --model-name " + s_lm_path +
+ python_cmd_lm = python_cmd + " --type onnx " + " --model-name " + s_lm_path +
" --export-dir ./ " + " --model_revision " +
model_path["lm-revision"] + " --export False ";
down_lm_path = s_lm_path;
@@ -339,7 +376,7 @@
// modelscope
LOG(INFO) << "Download model: " << s_lm_path
<< " from modelscope : ";
- python_cmd_lm = python_cmd + " --model-name " +
+ python_cmd_lm = python_cmd + " --type onnx " + " --model-name " +
s_lm_path +
" --export-dir " + s_download_model_dir +
" --model_revision " + model_path["lm-revision"]
@@ -374,12 +411,12 @@
if (access(s_punc_path.c_str(), F_OK) == 0){
// local
- python_cmd_punc = python_cmd + " --model-name " + s_punc_path + " --export-dir ./ " + " --model_revision " + model_path["punc-revision"];
+ python_cmd_punc = python_cmd + " --type onnx " + "--quantize " + s_punc_quant + " --model-name " + s_punc_path + " --export-dir ./ " + " --model_revision " + model_path["punc-revision"];
down_punc_path = s_punc_path;
}else{
// modelscope
LOG(INFO) << "Download model: " << s_punc_path << " from modelscope: ";
- python_cmd_punc = python_cmd + " --model-name " + s_punc_path + " --export-dir " + s_download_model_dir + " --model_revision " + model_path["punc-revision"];
+ python_cmd_punc = python_cmd + " --type onnx " + "--quantize " + s_punc_quant + " --model-name " + s_punc_path + " --export-dir " + s_download_model_dir + " --model_revision " + model_path["punc-revision"];
down_punc_path = s_download_model_dir+"/"+s_punc_path;
}
@@ -471,7 +508,7 @@
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, use_gpu_); // 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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