From 6ef5ccc784d9f7fcd4072dd83c6ceaf1c324b92c Mon Sep 17 00:00:00 2001
From: lyblsgo <lyblsgo@163.com>
Date: 星期二, 25 四月 2023 20:34:53 +0800
Subject: [PATCH] check am.mvn exists

---
 funasr/runtime/onnxruntime/src/fsmn-vad.cpp |   79 +++++++++++++++++++++------------------
 1 files changed, 43 insertions(+), 36 deletions(-)

diff --git a/funasr/runtime/onnxruntime/src/fsmn-vad.cpp b/funasr/runtime/onnxruntime/src/fsmn-vad.cpp
index 0f87cb2..7360a9a 100644
--- a/funasr/runtime/onnxruntime/src/fsmn-vad.cpp
+++ b/funasr/runtime/onnxruntime/src/fsmn-vad.cpp
@@ -1,8 +1,10 @@
+/**
+ * Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+ * MIT License  (https://opensource.org/licenses/MIT)
+*/
 
 #include <fstream>
 #include "precomp.h"
-//#include "glog/logging.h"
-
 
 void FsmnVad::InitVad(const std::string &vad_model, const std::string &vad_cmvn, int vad_sample_rate, int vad_silence_duration, int vad_max_len,
                        float vad_speech_noise_thres) {
@@ -34,10 +36,10 @@
         vad_session_ = std::make_shared<Ort::Session>(
                 env_, vad_model.c_str(), session_options_);
     } catch (std::exception const &e) {
-        //LOG(ERROR) << "Error when load onnx model: " << e.what();
+        LOG(ERROR) << "Error when load vad onnx model: " << e.what();
         exit(0);
     }
-    //LOG(INFO) << "vad onnx:";
+    LOG(INFO) << "vad onnx:";
     GetInputOutputInfo(vad_session_, &vad_in_names_, &vad_out_names_);
 }
 
@@ -59,8 +61,8 @@
             shape << j;
             shape << " ";
         }
-        // LOG(INFO) << "\tInput " << i << " : name=" << name.get() << " type=" << type
-        //           << " dims=" << shape.str();
+        LOG(INFO) << "\tInput " << i << " : name=" << name.get() << " type=" << type
+                  << " dims=" << shape.str();
         (*in_names)[i] = name.get();
         name.release();
     }
@@ -78,8 +80,8 @@
             shape << j;
             shape << " ";
         }
-        // LOG(INFO) << "\tOutput " << i << " : name=" << name.get() << " type=" << type
-        //           << " dims=" << shape.str();
+        LOG(INFO) << "\tOutput " << i << " : name=" << name.get() << " type=" << type
+                  << " dims=" << shape.str();
         (*out_names)[i] = name.get();
         name.release();
     }
@@ -119,12 +121,12 @@
     // 4. Onnx infer
     std::vector<Ort::Value> vad_ort_outputs;
     try {
-        // VLOG(3) << "Start infer";
+        VLOG(3) << "Start infer";
         vad_ort_outputs = vad_session_->Run(
                 Ort::RunOptions{nullptr}, vad_in_names_.data(), vad_inputs.data(),
                 vad_inputs.size(), vad_out_names_.data(), vad_out_names_.size());
     } catch (std::exception const &e) {
-        // LOG(ERROR) << e.what();
+        LOG(ERROR) << e.what();
         return;
     }
 
@@ -163,36 +165,41 @@
 
 void FsmnVad::LoadCmvn(const char *filename)
 {
-    using namespace std;
-    ifstream cmvn_stream(filename);
-    string line;
+    try{
+        using namespace std;
+        ifstream cmvn_stream(filename);
+        string line;
 
-    while (getline(cmvn_stream, line)) {
-        istringstream iss(line);
-        vector<string> line_item{istream_iterator<string>{iss}, istream_iterator<string>{}};
-        if (line_item[0] == "<AddShift>") {
-            getline(cmvn_stream, line);
-            istringstream means_lines_stream(line);
-            vector<string> means_lines{istream_iterator<string>{means_lines_stream}, istream_iterator<string>{}};
-            if (means_lines[0] == "<LearnRateCoef>") {
-                for (int j = 3; j < means_lines.size() - 1; j++) {
-                    means_list.push_back(stof(means_lines[j]));
+        while (getline(cmvn_stream, line)) {
+            istringstream iss(line);
+            vector<string> line_item{istream_iterator<string>{iss}, istream_iterator<string>{}};
+            if (line_item[0] == "<AddShift>") {
+                getline(cmvn_stream, line);
+                istringstream means_lines_stream(line);
+                vector<string> means_lines{istream_iterator<string>{means_lines_stream}, istream_iterator<string>{}};
+                if (means_lines[0] == "<LearnRateCoef>") {
+                    for (int j = 3; j < means_lines.size() - 1; j++) {
+                        means_list.push_back(stof(means_lines[j]));
+                    }
+                    continue;
                 }
-                continue;
+            }
+            else if (line_item[0] == "<Rescale>") {
+                getline(cmvn_stream, line);
+                istringstream vars_lines_stream(line);
+                vector<string> vars_lines{istream_iterator<string>{vars_lines_stream}, istream_iterator<string>{}};
+                if (vars_lines[0] == "<LearnRateCoef>") {
+                    for (int j = 3; j < vars_lines.size() - 1; j++) {
+                        // vars_list.push_back(stof(vars_lines[j])*scale);
+                        vars_list.push_back(stof(vars_lines[j]));
+                    }
+                    continue;
+                }
             }
         }
-        else if (line_item[0] == "<Rescale>") {
-            getline(cmvn_stream, line);
-            istringstream vars_lines_stream(line);
-            vector<string> vars_lines{istream_iterator<string>{vars_lines_stream}, istream_iterator<string>{}};
-            if (vars_lines[0] == "<LearnRateCoef>") {
-                for (int j = 3; j < vars_lines.size() - 1; j++) {
-                    // vars_list.push_back(stof(vars_lines[j])*scale);
-                    vars_list.push_back(stof(vars_lines[j]));
-                }
-                continue;
-            }
-        }
+    }catch(std::exception const &e) {
+        LOG(ERROR) << "Error when load vad cmvn : " << e.what();
+        exit(0);
     }
 }
 

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