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/onnxruntime/bin/funasr-onnx-offline-rtf.cpp |    7 +++++--
 1 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp b/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp
index 8afa77a..d8d9473 100644
--- a/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp
+++ b/runtime/onnxruntime/bin/funasr-onnx-offline-rtf.cpp
@@ -52,7 +52,7 @@
     std::vector<std::vector<float>> hotwords_embedding = CompileHotwordEmbedding(asr_handle, nn_hotwords_);
     
     // warm up
-    for (size_t i = 0; i < 10; i++)
+    for (size_t i = 0; i < 1; i++)
     {
         FUNASR_RESULT result=FunOfflineInfer(asr_handle, wav_list[0].c_str(), RASR_NONE, nullptr, hotwords_embedding, audio_fs, true, decoder_handle);
         if(result){
@@ -144,6 +144,7 @@
     TCLAP::ValueArg<std::int32_t> thread_num("", THREAD_NUM, "multi-thread num for rtf", false, 1, "int32_t");
     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, "", "string");
     TCLAP::SwitchArg use_gpu("", INFER_GPU, "Whether to use GPU for inference, default is false", false);
+    TCLAP::ValueArg<std::int32_t> batch_size("", BATCHSIZE, "batch_size for ASR model when using GPU", false, 4, "int32_t");
 
     cmd.add(model_dir);
     cmd.add(quantize);
@@ -163,6 +164,7 @@
     cmd.add(audio_fs);
     cmd.add(thread_num);
     cmd.add(use_gpu);
+    cmd.add(batch_size);
     cmd.parse(argc, argv);
 
     std::map<std::string, std::string> model_path;
@@ -181,7 +183,8 @@
     struct timeval start, end;
     gettimeofday(&start, nullptr);
     bool use_gpu_ = use_gpu.getValue();
-    FUNASR_HANDLE asr_handle=FunOfflineInit(model_path, 1, use_gpu_);
+    int batch_size_ = batch_size.getValue();
+    FUNASR_HANDLE asr_handle=FunOfflineInit(model_path, 1, use_gpu_, batch_size_);
 
     if (!asr_handle)
     {

--
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