Add address sanitizer and undefined behavior sanitizer (#951)

@@ -137,7 +137,7 @@ jobs:
             git push https://csukuangfj:$HF_TOKEN@huggingface.co/csukuangfj/sherpa-onnx-libs main
 
       - name: Release android libs
-        if: github.repository_owner == 'csukuangfj' || github.repository_owner == 'k2-fsa' && github.event_name == 'push' && contains(github.ref, 'refs/tags/')
+        if: (github.repository_owner == 'csukuangfj' || github.repository_owner == 'k2-fsa') && github.event_name == 'push' && contains(github.ref, 'refs/tags/')
         uses: svenstaro/upload-release-action@v2
         with:
           file_glob: true

@@ -217,3 +217,11 @@ jobs:
         with:
           name: flutter-sherpa-onnx-linux-x64
           path: ./*.tar.bz2
+
+      # - name: Release android libs
+      #   if: (github.repository_owner == 'csukuangfj' || github.repository_owner == 'k2-fsa') && github.event_name == 'push' && contains(github.ref, 'refs/tags/')
+      #   uses: svenstaro/upload-release-action@v2
+      #   with:
+      #     file_glob: true
+      #     overwrite: true
+      #     file: flutter*.tar.bz2

@@ -180,3 +180,11 @@ jobs:
         with:
           name: flutter-sherpa-onnx-app-macos-${{ matrix.arch }}
           path: ./*.tar.bz2
+
+      - name: Release android libs
+        if: (github.repository_owner == 'csukuangfj' || github.repository_owner == 'k2-fsa') && github.event_name == 'push' && contains(github.ref, 'refs/tags/')
+        uses: svenstaro/upload-release-action@v2
+        with:
+          file_glob: true
+          overwrite: true
+          file: flutter*.tar.bz2

@@ -157,3 +157,11 @@ jobs:
         with:
           name: flutter-sherpa-onnx-windows-x64
           path: ./*.tar.bz2
+
+      - name: Release android libs
+        if: (github.repository_owner == 'csukuangfj' || github.repository_owner == 'k2-fsa') && github.event_name == 'push' && contains(github.ref, 'refs/tags/')
+        uses: svenstaro/upload-release-action@v2
+        with:
+          file_glob: true
+          overwrite: true
+          file: flutter*.tar.bz2

+name: sanitizer
+
+on:
+  workflow_dispatch:
+
+  schedule:
+    # minute (0-59)
+    # hour (0-23)
+    # day of the month (1-31)
+    # month (1-12)
+    # day of the week (0-6)
+    # nightly build at 22:50 UTC time every day
+    - cron: "50 22 * * *"
+
+concurrency:
+  group: sanitizer-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  sanitizer:
+    runs-on: ${{ matrix.os }}
+    name: sanitizer
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [macos-latest]
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: ccache
+        uses: hendrikmuhs/ccache-action@v1.2
+        with:
+          key: ${{ matrix.os }}-sanitizer
+
+      - name: Configure CMake
+        shell: bash
+        run: |
+          export CMAKE_CXX_COMPILER_LAUNCHER=ccache
+          export PATH="/usr/lib/ccache:/usr/local/opt/ccache/libexec:$PATH"
+          cmake --version
+
+          mkdir build
+          cd build
+
+          cmake \
+            -DSHERPA_ONNX_ENABLE_PYTHON=ON \
+            -DSHERPA_ONNX_ENABLE_TESTS=ON \
+            -DSHERPA_ONNX_ENABLE_JNI=ON \
+            -DSHERPA_ONNX_ENABLE_SANITIZER=ON \
+            -D BUILD_SHARED_LIBS=ON \
+            -D CMAKE_BUILD_TYPE=Release \
+            -DCMAKE_INSTALL_PREFIX=./install \
+            ..
+
+      - name: Build sherpa-onnx
+        shell: bash
+        run: |
+          export PATH="/usr/lib/ccache:/usr/local/opt/ccache/libexec:$PATH"
+
+          cd build
+          make -j2
+          make install
+
+          ls -lh lib
+          ls -lh bin
+
+          file ./bin/sherpa-onnx
+
+      - name: Display dependencies of sherpa-onnx for macos
+        shell: bash
+        run: |
+          file bin/sherpa-onnx
+          otool -L build/bin/sherpa-onnx
+          otool -l build/bin/sherpa-onnx
+
+      - name: Test offline transducer
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline
+
+          .github/scripts/test-offline-transducer.sh
+
+      - name: Test online CTC
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx
+
+          .github/scripts/test-online-ctc.sh
+
+      - name: Test offline punctuation
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline-punctuation
+
+          .github/scripts/test-offline-punctuation.sh
+
+      - name: Test C API
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export SLID_EXE=spoken-language-identification-c-api
+          export SID_EXE=speaker-identification-c-api
+          export AT_EXE=audio-tagging-c-api
+          export PUNCT_EXE=add-punctuation-c-api
+
+          .github/scripts/test-c-api.sh
+
+      - name: Test Audio tagging
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline-audio-tagging
+
+          .github/scripts/test-audio-tagging.sh
+
+      - name: Test spoken language identification (C++ API)
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline-language-identification
+
+          .github/scripts/test-spoken-language-identification.sh
+
+      - name: Test transducer kws
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-keyword-spotter
+
+          .github/scripts/test-kws.sh
+
+      - name: Test offline TTS
+        if: matrix.with_tts == 'ON'
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline-tts
+
+          .github/scripts/test-offline-tts.sh
+
+      - name: Test online paraformer
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx
+
+          .github/scripts/test-online-paraformer.sh
+
+      - name: Test offline Whisper
+        if: matrix.build_type != 'Debug'
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline
+
+          .github/scripts/test-offline-whisper.sh
+
+      - name: Test offline CTC
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx-offline
+
+          .github/scripts/test-offline-ctc.sh
+
+      - name: Test online transducer
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=sherpa-onnx
+
+          .github/scripts/test-online-transducer.sh
+
+      - name: Test online transducer (C API)
+        shell: bash
+        run: |
+          export PATH=$PWD/build/bin:$PATH
+          export EXE=decode-file-c-api
+
+          .github/scripts/test-online-transducer.sh

@@ -2,6 +2,8 @@ cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
 
 set(CMAKE_OSX_DEPLOYMENT_TARGET "10.14" CACHE STRING "Minimum OS X deployment version. Used only for macOS")
 
+
+
 project(sherpa-onnx)
 
 set(SHERPA_ONNX_VERSION "1.9.26")
@@ -32,6 +34,7 @@ option(SHERPA_ONNX_ENABLE_BINARY "Whether to build binaries" ON)
 option(SHERPA_ONNX_ENABLE_TTS "Whether to build TTS related code" ON)
 option(SHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY "True to link libstdc++ statically. Used only when BUILD_SHARED_LIBS is OFF on Linux" ON)
 option(SHERPA_ONNX_USE_PRE_INSTALLED_ONNXRUNTIME_IF_AVAILABLE "True to use pre-installed onnxruntime if available" ON)
+option(SHERPA_ONNX_ENABLE_SANITIZER "Whether to enable ubsan and asan" OFF)
 
 set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
 set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}/lib")
@@ -121,6 +124,7 @@ message(STATUS "SHERPA_ONNX_ENABLE_BINARY ${SHERPA_ONNX_ENABLE_BINARY}")
 message(STATUS "SHERPA_ONNX_ENABLE_TTS ${SHERPA_ONNX_ENABLE_TTS}")
 message(STATUS "SHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY ${SHERPA_ONNX_LINK_LIBSTDCPP_STATICALLY}")
 message(STATUS "SHERPA_ONNX_USE_PRE_INSTALLED_ONNXRUNTIME_IF_AVAILABLE ${SHERPA_ONNX_USE_PRE_INSTALLED_ONNXRUNTIME_IF_AVAILABLE}")
+message(STATUS "SHERPA_ONNX_ENABLE_SANITIZER: ${SHERPA_ONNX_ENABLE_SANITIZER}")
 
 if(SHERPA_ONNX_ENABLE_TTS)
   message(STATUS "TTS is enabled")
@@ -267,6 +271,33 @@ if(SHERPA_ONNX_ENABLE_TTS)
   include(cppjieba) # For Chinese TTS. It is a header-only C++ library
 endif()
 
+# if(NOT MSVC AND CMAKE_BUILD_TYPE STREQUAL Debug AND (CMAKE_CXX_COMPILER_ID STREQUAL "Clang" OR CMAKE_CXX_COMPILER_ID STREQUAL "AppleClang"))
+if(SHERPA_ONNX_ENABLE_SANITIZER)
+  message(WARNING "enable ubsan and asan")
+  set(CMAKE_REQUIRED_LIBRARIES -lubsan -lasan)
+  include(CheckCCompilerFlag)
+
+  set(flags -fsanitize=undefined )
+  string(APPEND flags " -fno-sanitize-recover=undefined ")
+  string(APPEND flags " -fsanitize=integer ")
+  string(APPEND flags " -fsanitize=nullability ")
+  string(APPEND flags " -fsanitize=implicit-conversion ")
+  string(APPEND flags " -fsanitize=bounds ")
+  string(APPEND flags " -fsanitize=address ")
+
+  if(OFF)
+    set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${flags} -Wall -Wextra")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${flags} -Wall -Wextra")
+  else()
+    set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${flags}")
+    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${flags}")
+  endif()
+
+  set(CMAKE_EXECUTBLE_LINKER_FLAGS "${CMAKE_EXECUTBLE_LINKER_FLAGS} ${flags}")
+
+  add_compile_options(-fno-omit-frame-pointer)
+endif()
+
 add_subdirectory(sherpa-onnx)
 
 if(SHERPA_ONNX_ENABLE_C_API AND SHERPA_ONNX_ENABLE_BINARY)

@@ -43,8 +43,8 @@ int32_t main() {
   const char *texts[] = {
       "这是一个测试你好吗How are you我很好thank you are you ok谢谢你",
       "我们都是木头人不会说话不会动",
-      "The African blogosphere is rapidly expanding bringing more voices "
-      "online in the form of commentaries opinions analyses rants and poetry",
+      ("The African blogosphere is rapidly expanding bringing more voices "
+       "online in the form of commentaries opinions analyses rants and poetry"),
   };
 
   int32_t n = sizeof(texts) / sizeof(const char *);

@@ -179,8 +179,6 @@ int32_t main(int32_t argc, char *argv[]) {
 
 #define N 3200  // 0.2 s. Sample rate is fixed to 16 kHz
 
-  int16_t buffer[N];
-  float samples[N];
   fprintf(stderr, "sample rate: %d, num samples: %d, duration: %.2f s\n",
           wave->sample_rate, wave->num_samples,
           (float)wave->num_samples / wave->sample_rate);

@@ -65,8 +65,6 @@ int32_t main() {
 // simulate streaming. You can choose an arbitrary N
 #define N 3200
 
-  int16_t buffer[N];
-  float samples[N];
   fprintf(stderr, "sample rate: %d, num samples: %d, duration: %.2f s\n",
           wave->sample_rate, wave->num_samples,
           (float)wave->num_samples / wave->sample_rate);

@@ -14,10 +14,7 @@ function(download_espeak_ng_for_piper)
   set(USE_SPEECHPLAYER OFF CACHE BOOL "" FORCE)
   set(EXTRA_cmn ON CACHE BOOL "" FORCE)
   set(EXTRA_ru ON CACHE BOOL "" FORCE)
-
-  if(SHERPA_ONNX_ENABLE_WASM)
-    set(BUILD_ESPEAK_NG_EXE OFF CACHE BOOL "" FORCE)
-  endif()
+  set(BUILD_ESPEAK_NG_EXE OFF CACHE BOOL "" FORCE)
 
   # If you don't have access to the Internet,
   # please pre-download kaldi-decoder

@@ -187,7 +187,7 @@ const SherpaOnnxOnlineRecognizerResult *GetOnlineStreamResult(
   r->text = pText;
 
   // copy json
-  const auto &json = result.AsJsonString();
+  std::string json = result.AsJsonString();
   char *pJson = new char[json.size() + 1];
   std::copy(json.begin(), json.end(), pJson);
   pJson[json.size()] = 0;
@@ -445,7 +445,7 @@ const SherpaOnnxOfflineRecognizerResult *GetOfflineStreamResult(
   r->text = pText;
 
   // copy json
-  const auto &json = result.AsJsonString();
+  std::string json = result.AsJsonString();
   char *pJson = new char[json.size() + 1];
   std::copy(json.begin(), json.end(), pJson);
   pJson[json.size()] = 0;
@@ -643,7 +643,7 @@ const SherpaOnnxKeywordResult *GetKeywordResult(
   r->keyword = pKeyword;
 
   // copy json
-  const auto &json = result.AsJsonString();
+  std::string json = result.AsJsonString();
   char *pJson = new char[json.size() + 1];
   std::copy(json.begin(), json.end(), pJson);
   pJson[json.size()] = 0;

@@ -73,7 +73,7 @@ class AudioTaggingCEDImpl : public AudioTaggingImpl {
     std::vector<float> f = s->GetFrames();
 
     int32_t num_frames = f.size() / feat_dim;
-    assert(feat_dim * num_frames == f.size());
+    assert(feat_dim * num_frames == static_cast<int32_t>(f.size()));
 
     std::array<int64_t, 3> shape = {1, num_frames, feat_dim};
 

@@ -65,7 +65,7 @@ void AudioTaggingLabels::Init(std::istream &is) {
       exit(-1);
     }
 
-    if (i != names_.size()) {
+    if (i != static_cast<int32_t>(names_.size())) {
       SHERPA_ONNX_LOGE(
           "Index should be sorted and contiguous. Expected index: %d, given: "
           "%d.",

@@ -74,7 +74,7 @@ class AudioTaggingZipformerImpl : public AudioTaggingImpl {
 
     int32_t num_frames = f.size() / feat_dim;
 
-    assert(feat_dim * num_frames == f.size());
+    assert(feat_dim * num_frames == static_cast<int32_t>(f.size()));
 
     std::array<int64_t, 3> shape = {1, num_frames, feat_dim};
 

@@ -92,7 +92,7 @@ Ort::Value Cat(OrtAllocator *allocator,
     }
   }
 
-  return std::move(ans);
+  return ans;
 }
 
 template Ort::Value Cat<float>(OrtAllocator *allocator,

@@ -62,7 +62,6 @@ void CircularBuffer::Resize(int32_t new_capacity) {
                 new_buffer.begin() + dest);
     } else {
       int32_t first_part = new_capacity - dest;
-      int32_t second_part = part1_size - first_part;
       std::copy(buffer_.begin() + start, buffer_.begin() + start + first_part,
                 new_buffer.begin() + dest);
 

@@ -27,7 +27,7 @@ void ContextGraph::Build(const std::vector<std::vector<int32_t>> &token_ids,
   if (!ac_thresholds.empty()) {
     SHERPA_ONNX_CHECK_EQ(token_ids.size(), ac_thresholds.size());
   }
-  for (int32_t i = 0; i < token_ids.size(); ++i) {
+  for (int32_t i = 0; i < static_cast<int32_t>(token_ids.size()); ++i) {
     auto node = root_.get();
     float score = scores.empty() ? 0.0f : scores[i];
     score = score == 0.0f ? context_score_ : score;
@@ -35,10 +35,10 @@ void ContextGraph::Build(const std::vector<std::vector<int32_t>> &token_ids,
     ac_threshold = ac_threshold == 0.0f ? ac_threshold_ : ac_threshold;
     std::string phrase = phrases.empty() ? std::string() : phrases[i];
 
-    for (int32_t j = 0; j < token_ids[i].size(); ++j) {
+    for (int32_t j = 0; j < static_cast<int32_t>(token_ids[i].size()); ++j) {
       int32_t token = token_ids[i][j];
       if (0 == node->next.count(token)) {
-        bool is_end = j == token_ids[i].size() - 1;
+        bool is_end = j == (static_cast<int32_t>(token_ids[i].size()) - 1);
         node->next[token] = std::make_unique<ContextState>(
             token, score, node->node_score + score,
             is_end ? node->node_score + score : 0, j + 1,
@@ -49,11 +49,11 @@ void ContextGraph::Build(const std::vector<std::vector<int32_t>> &token_ids,
         node->next[token]->token_score = token_score;
         float node_score = node->node_score + token_score;
         node->next[token]->node_score = node_score;
-        bool is_end =
-            (j == token_ids[i].size() - 1) || node->next[token]->is_end;
+        bool is_end = (j == static_cast<int32_t>(token_ids[i].size()) - 1) ||
+                      node->next[token]->is_end;
         node->next[token]->output_score = is_end ? node_score : 0.0f;
         node->next[token]->is_end = is_end;
-        if (j == token_ids[i].size() - 1) {
+        if (j == static_cast<int32_t>(token_ids[i].size()) - 1) {
           node->next[token]->phrase = phrase;
           node->next[token]->ac_threshold = ac_threshold;
         }

@@ -129,8 +129,8 @@ class Hypotheses {
     return os.str();
   }
 
-  const auto begin() const { return hyps_dict_.begin(); }
-  const auto end() const { return hyps_dict_.end(); }
+  auto begin() const { return hyps_dict_.begin(); }
+  auto end() const { return hyps_dict_.end(); }
 
   auto begin() { return hyps_dict_.begin(); }
   auto end() { return hyps_dict_.end(); }

@@ -217,7 +217,7 @@ JiebaLexicon::JiebaLexicon(const std::string &lexicon,
                                    debug)) {}
 
 std::vector<std::vector<int64_t>> JiebaLexicon::ConvertTextToTokenIds(
-    const std::string &text, const std::string &unused_voice /*= ""*/) const {
+    const std::string &text, const std::string & /*unused_voice = ""*/) const {
   return impl_->ConvertTextToTokenIds(text);
 }
 

@@ -69,7 +69,7 @@ class OfflineCtTransformerModel::Impl {
 
     int32_t vocab_size;
     SHERPA_ONNX_READ_META_DATA(vocab_size, "vocab_size");
-    if (tokens.size() != vocab_size) {
+    if (static_cast<int32_t>(tokens.size()) != vocab_size) {
       SHERPA_ONNX_LOGE("tokens.size() %d != vocab_size %d",
                        static_cast<int32_t>(tokens.size()), vocab_size);
       exit(-1);

@@ -71,7 +71,7 @@ class OfflinePunctuationCtTransformerImpl : public OfflinePunctuationImpl {
     for (int32_t i = 0; i != num_segments; ++i) {
       int32_t this_start = i * segment_size;         // inclusive
       int32_t this_end = this_start + segment_size;  // exclusive
-      if (this_end > token_ids.size()) {
+      if (this_end > static_cast<int32_t>(token_ids.size())) {
         this_end = token_ids.size();
       }
 
@@ -155,7 +155,7 @@ class OfflinePunctuationCtTransformerImpl : public OfflinePunctuationImpl {
     std::vector<std::string> words_punct;
 
     for (int32_t i = 0; i != static_cast<int32_t>(punctuations.size()); ++i) {
-      if (i >= tokens.size()) {
+      if (i >= static_cast<int32_t>(tokens.size())) {
         break;
       }
       std::string &w = tokens[i];

@@ -96,7 +96,7 @@ OfflineTtsCharacterFrontend::OfflineTtsCharacterFrontend(
 
 std::vector<std::vector<int64_t>>
 OfflineTtsCharacterFrontend::ConvertTextToTokenIds(
-    const std::string &_text, const std::string &voice /*= ""*/) const {
+    const std::string &_text, const std::string & /*voice = ""*/) const {
   // see
   // https://github.com/coqui-ai/TTS/blob/dev/TTS/tts/utils/text/tokenizer.py#L87
   int32_t use_eos_bos = meta_data_.use_eos_bos;
@@ -151,7 +151,7 @@ OfflineTtsCharacterFrontend::ConvertTextToTokenIds(
       this_sentence.push_back(eos_id);
     }
 
-    if (this_sentence.size() > 1 + use_eos_bos) {
+    if (static_cast<int32_t>(this_sentence.size()) > 1 + use_eos_bos) {
       ans.push_back(std::move(this_sentence));
     }
   } else {

@@ -238,7 +238,7 @@ class OfflineTtsVitsImpl : public OfflineTtsImpl {
     }
 
     batch.clear();
-    while (k < x.size()) {
+    while (k < static_cast<int32_t>(x.size())) {
       batch.push_back(std::move(x[k]));
       ++k;
     }

@@ -91,8 +91,8 @@ struct OnlineRecognizerConfig {
   int32_t max_active_paths = 4;
 
   /// used only for modified_beam_search
-  float hotwords_score = 1.5;
   std::string hotwords_file;
+  float hotwords_score = 1.5;
 
   float blank_penalty = 0.0;
 
@@ -102,17 +102,12 @@ struct OnlineRecognizerConfig {
 
   OnlineRecognizerConfig(
       const FeatureExtractorConfig &feat_config,
-      const OnlineModelConfig &model_config,
-      const OnlineLMConfig &lm_config,
+      const OnlineModelConfig &model_config, const OnlineLMConfig &lm_config,
       const EndpointConfig &endpoint_config,
       const OnlineCtcFstDecoderConfig &ctc_fst_decoder_config,
-      bool enable_endpoint,
-      const std::string &decoding_method,
-      int32_t max_active_paths,
-      const std::string &hotwords_file,
-      float hotwords_score,
-      float blank_penalty,
-      float temperature_scale)
+      bool enable_endpoint, const std::string &decoding_method,
+      int32_t max_active_paths, const std::string &hotwords_file,
+      float hotwords_score, float blank_penalty, float temperature_scale)
       : feat_config(feat_config),
         model_config(model_config),
         lm_config(lm_config),

@@ -95,15 +95,15 @@ class OnlineTransducerDecoder {
    * online decoding case, each utterance has the same number of frames
    * and there are no paddings.
    */
-  virtual void Decode(Ort::Value encoder_out, OnlineStream **ss,
-                      std::vector<OnlineTransducerDecoderResult> *result) {
+  virtual void Decode(Ort::Value /*encoder_out*/, OnlineStream ** /*ss*/,
+                      std::vector<OnlineTransducerDecoderResult> * /*result*/) {
     SHERPA_ONNX_LOGE(
         "This interface is for OnlineTransducerModifiedBeamSearchDecoder.");
     exit(-1);
   }
 
   // used for endpointing. We need to keep decoder_out after reset
-  virtual void UpdateDecoderOut(OnlineTransducerDecoderResult *result) {}
+  virtual void UpdateDecoderOut(OnlineTransducerDecoderResult * /*result*/) {}
 };
 
 }  // namespace sherpa_onnx

@@ -77,7 +77,7 @@ void OnlineTransducerGreedySearchDecoder::Decode(
   std::vector<int64_t> encoder_out_shape =
       encoder_out.GetTensorTypeAndShapeInfo().GetShape();
 
-  if (encoder_out_shape[0] != result->size()) {
+  if (encoder_out_shape[0] != static_cast<int32_t>(result->size())) {
     SHERPA_ONNX_LOGE(
         "Size mismatch! encoder_out.size(0) %d, result.size(0): %d",
         static_cast<int32_t>(encoder_out_shape[0]),

@@ -69,7 +69,7 @@ class OnlineTransducerModel {
    * This has to be called before GetEncoderInitStates(), so the `encoder_embed`
    * init state has the correct `embed_dim` of its output.
    */
-  virtual void SetFeatureDim(int32_t feature_dim) {}
+  virtual void SetFeatureDim(int32_t /*feature_dim*/) {}
 
   /** Run the encoder.
    *

@@ -17,7 +17,7 @@ namespace sherpa_onnx {
 static void UseCachedDecoderOut(
     const std::vector<int32_t> &hyps_row_splits,
     const std::vector<OnlineTransducerDecoderResult> &results,
-    int32_t context_size, Ort::Value *decoder_out) {
+    Ort::Value *decoder_out) {
   std::vector<int64_t> shape =
       decoder_out->GetTensorTypeAndShapeInfo().GetShape();
 
@@ -80,7 +80,8 @@ void OnlineTransducerModifiedBeamSearchDecoder::Decode(
   std::vector<int64_t> encoder_out_shape =
       encoder_out.GetTensorTypeAndShapeInfo().GetShape();
 
-  if (encoder_out_shape[0] != result->size()) {
+  if (static_cast<int32_t>(encoder_out_shape[0]) !=
+      static_cast<int32_t>(result->size())) {
     SHERPA_ONNX_LOGE(
         "Size mismatch! encoder_out.size(0) %d, result.size(0): %d\n",
         static_cast<int32_t>(encoder_out_shape[0]),
@@ -117,8 +118,7 @@ void OnlineTransducerModifiedBeamSearchDecoder::Decode(
     Ort::Value decoder_input = model_->BuildDecoderInput(prev);
     Ort::Value decoder_out = model_->RunDecoder(std::move(decoder_input));
     if (t == 0) {
-      UseCachedDecoderOut(hyps_row_splits, *result, model_->ContextSize(),
-                          &decoder_out);
+      UseCachedDecoderOut(hyps_row_splits, *result, &decoder_out);
     }
 
     Ort::Value cur_encoder_out =
@@ -136,10 +136,9 @@ void OnlineTransducerModifiedBeamSearchDecoder::Decode(
     int32_t p_logit_items = vocab_size * num_hyps;
     std::vector<float> logit_with_temperature(p_logit_items);
     {
-      std::copy(p_logit,
-                p_logit + p_logit_items,
+      std::copy(p_logit, p_logit + p_logit_items,
                 logit_with_temperature.begin());
-      for (float& elem : logit_with_temperature) {
+      for (float &elem : logit_with_temperature) {
         elem /= temperature_scale_;
       }
       LogSoftmax(logit_with_temperature.data(), vocab_size, num_hyps);
@@ -226,7 +225,7 @@ void OnlineTransducerModifiedBeamSearchDecoder::Decode(
       cur.push_back(std::move(hyps));
       p_logprob += (end - start) * vocab_size;
     }  // for (int32_t b = 0; b != batch_size; ++b)
-  }  // for (int32_t t = 0; t != num_frames; ++t)
+  }    // for (int32_t t = 0; t != num_frames; ++t)
 
   for (int32_t b = 0; b != batch_size; ++b) {
     auto &hyps = cur[b];
@@ -242,7 +241,7 @@ void OnlineTransducerModifiedBeamSearchDecoder::Decode(
 
 void OnlineTransducerModifiedBeamSearchDecoder::UpdateDecoderOut(
     OnlineTransducerDecoderResult *result) {
-  if (result->tokens.size() == model_->ContextSize()) {
+  if (static_cast<int32_t>(result->tokens.size()) == model_->ContextSize()) {
     result->decoder_out = Ort::Value{nullptr};
     return;
   }

@@ -51,7 +51,7 @@ class Client {
     c_.init_asio(&io_);
     c_.set_open_handler([this](connection_hdl hdl) { OnOpen(hdl); });
     c_.set_close_handler(
-        [this](connection_hdl /*hdl*/) { SHERPA_ONNX_LOGE("Disconnected"); });
+        [](connection_hdl /*hdl*/) { SHERPA_ONNX_LOGE("Disconnected"); });
     c_.set_message_handler(
         [this](connection_hdl hdl, message_ptr msg) { OnMessage(hdl, msg); });
 

@@ -34,8 +34,8 @@ namespace sherpa_onnx {
 OnlineZipformer2TransducerModel::OnlineZipformer2TransducerModel(
     const OnlineModelConfig &config)
     : env_(ORT_LOGGING_LEVEL_WARNING),
-      config_(config),
       sess_opts_(GetSessionOptions(config)),
+      config_(config),
       allocator_{} {
   {
     auto buf = ReadFile(config.transducer.encoder);
@@ -179,7 +179,6 @@ void OnlineZipformer2TransducerModel::InitJoiner(void *model_data,
 std::vector<Ort::Value> OnlineZipformer2TransducerModel::StackStates(
     const std::vector<std::vector<Ort::Value>> &states) const {
   int32_t batch_size = static_cast<int32_t>(states.size());
-  int32_t num_encoders = static_cast<int32_t>(num_encoder_layers_.size());
 
   std::vector<const Ort::Value *> buf(batch_size);
 
@@ -255,10 +254,9 @@ OnlineZipformer2TransducerModel::UnStackStates(
     const std::vector<Ort::Value> &states) const {
   int32_t m = std::accumulate(num_encoder_layers_.begin(),
                               num_encoder_layers_.end(), 0);
-  assert(states.size() == m * 6 + 2);
+  assert(static_cast<int32_t>(states.size()) == m * 6 + 2);
 
   int32_t batch_size = states[0].GetTensorTypeAndShapeInfo().GetShape()[1];
-  int32_t num_encoders = num_encoder_layers_.size();
 
   std::vector<std::vector<Ort::Value>> ans;
   ans.resize(batch_size);
@@ -266,7 +264,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
   for (int32_t i = 0; i != m; ++i) {
     {
       auto v = Unbind(allocator_, &states[i * 6], 1);
-      assert(v.size() == batch_size);
+      assert(static_cast<int32_t>(v.size()) == batch_size);
 
       for (int32_t n = 0; n != batch_size; ++n) {
         ans[n].push_back(std::move(v[n]));
@@ -274,7 +272,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
     }
     {
       auto v = Unbind(allocator_, &states[i * 6 + 1], 1);
-      assert(v.size() == batch_size);
+      assert(static_cast<int32_t>(v.size()) == batch_size);
 
       for (int32_t n = 0; n != batch_size; ++n) {
         ans[n].push_back(std::move(v[n]));
@@ -282,7 +280,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
     }
     {
       auto v = Unbind(allocator_, &states[i * 6 + 2], 1);
-      assert(v.size() == batch_size);
+      assert(static_cast<int32_t>(v.size()) == batch_size);
 
       for (int32_t n = 0; n != batch_size; ++n) {
         ans[n].push_back(std::move(v[n]));
@@ -290,7 +288,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
     }
     {
       auto v = Unbind(allocator_, &states[i * 6 + 3], 1);
-      assert(v.size() == batch_size);
+      assert(static_cast<int32_t>(v.size()) == batch_size);
 
       for (int32_t n = 0; n != batch_size; ++n) {
         ans[n].push_back(std::move(v[n]));
@@ -298,7 +296,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
     }
     {
       auto v = Unbind(allocator_, &states[i * 6 + 4], 0);
-      assert(v.size() == batch_size);
+      assert(static_cast<int32_t>(v.size()) == batch_size);
 
       for (int32_t n = 0; n != batch_size; ++n) {
         ans[n].push_back(std::move(v[n]));
@@ -306,7 +304,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
     }
     {
       auto v = Unbind(allocator_, &states[i * 6 + 5], 0);
-      assert(v.size() == batch_size);
+      assert(static_cast<int32_t>(v.size()) == batch_size);
 
       for (int32_t n = 0; n != batch_size; ++n) {
         ans[n].push_back(std::move(v[n]));
@@ -316,7 +314,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
 
   {
     auto v = Unbind(allocator_, &states[m * 6], 0);
-    assert(v.size() == batch_size);
+    assert(static_cast<int32_t>(v.size()) == batch_size);
 
     for (int32_t n = 0; n != batch_size; ++n) {
       ans[n].push_back(std::move(v[n]));
@@ -324,7 +322,7 @@ OnlineZipformer2TransducerModel::UnStackStates(
   }
   {
     auto v = Unbind<int64_t>(allocator_, &states[m * 6 + 1], 0);
-    assert(v.size() == batch_size);
+    assert(static_cast<int32_t>(v.size()) == batch_size);
 
     for (int32_t n = 0; n != batch_size; ++n) {
       ans[n].push_back(std::move(v[n]));

@@ -246,7 +246,7 @@ static bool MustBeQuoted(const std::string &str, ShellType st) {
 // Our aim is to print out the command line in such a way that if it's
 // pasted into a shell of ShellType "st" (only bash for now), it
 // will get passed to the program in the same way.
-static std::string QuoteAndEscape(const std::string &str, ShellType st) {
+static std::string QuoteAndEscape(const std::string &str, ShellType /*st*/) {
   // Only Bash is supported (for the moment).
   SHERPA_ONNX_CHECK_EQ(st, kBash) << "Invalid shell type.";
 

@@ -31,7 +31,7 @@ static int32_t RecordCallback(const void *input_buffer,
   return stop ? paComplete : paContinue;
 }
 
-static void Handler(int32_t sig) {
+static void Handler(int32_t /*sig*/) {
   stop = true;
   fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
 }
@@ -124,8 +124,6 @@ for a list of pre-trained models to download.
     mic_sample_rate = atof(pSampleRateStr);
   }
 
-  float sample_rate = 16000;
-
   PaStream *stream;
   PaError err =
       Pa_OpenStream(&stream, &param, nullptr, /* &outputParameters, */

@@ -62,7 +62,7 @@ static int32_t RecordCallback(const void *input_buffer,
                               unsigned long frames_per_buffer,  // NOLINT
                               const PaStreamCallbackTimeInfo * /*time_info*/,
                               PaStreamCallbackFlags /*status_flags*/,
-                              void *user_data) {
+                              void * /*user_data*/) {
   std::lock_guard<std::mutex> lock(samples_mutex);
 
   auto p = reinterpret_cast<const float *>(input_buffer);
@@ -71,7 +71,7 @@ static int32_t RecordCallback(const void *input_buffer,
   return stop ? paComplete : paContinue;
 }
 
-static void Handler(int32_t sig) {
+static void Handler(int32_t /*sig*/) {
   stop = true;
   fprintf(stderr, "\nCaught Ctrl + C. Press Enter to exit\n");
 }
@@ -165,8 +165,6 @@ for more models.
     mic_sample_rate = atof(pSampleRateStr);
   }
 
-  float sample_rate = 16000;
-
   PaStream *stream;
   PaError err =
       Pa_OpenStream(&stream, &param, nullptr, /* &outputParameters, */

@@ -62,7 +62,7 @@ static int32_t RecordCallback(const void *input_buffer,
                               unsigned long frames_per_buffer,  // NOLINT
                               const PaStreamCallbackTimeInfo * /*time_info*/,
                               PaStreamCallbackFlags /*status_flags*/,
-                              void *user_data) {
+                              void * /*user_data*/) {
   std::lock_guard<std::mutex> lock(samples_mutex);
 
   auto p = reinterpret_cast<const float *>(input_buffer);
@@ -71,7 +71,7 @@ static int32_t RecordCallback(const void *input_buffer,
   return stop ? paComplete : paContinue;
 }
 
-static void Handler(int32_t sig) {
+static void Handler(int32_t /*sig*/) {
   stop = true;
   fprintf(stderr, "\nCaught Ctrl + C. Press Enter to exit\n");
 }
@@ -180,7 +180,6 @@ for a list of pre-trained models to download.
     fprintf(stderr, "Use sample rate %f for mic\n", mic_sample_rate);
     mic_sample_rate = atof(pSampleRateStr);
   }
-  float sample_rate = 16000;
 
   PaStream *stream;
   PaError err =

@@ -33,7 +33,7 @@ static int32_t RecordCallback(const void *input_buffer,
   return stop ? paComplete : paContinue;
 }
 
-static void Handler(int32_t sig) {
+static void Handler(int32_t /*sig*/) {
   stop = true;
   fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
 }

@@ -85,7 +85,7 @@ void AsrInference(const std::vector<std::vector<std::string>> &chunk_wav_paths,
 
   while (true) {
     int chunk = wav_index.fetch_add(1);
-    if (chunk >= chunk_wav_paths.size()) {
+    if (chunk >= static_cast<int32_t>(chunk_wav_paths.size())) {
       break;
     }
     const auto &wav_paths = chunk_wav_paths[chunk];

@@ -85,7 +85,7 @@ static int PlayCallback(const void * /*in*/, void *out,
   }
 
   int32_t k = 0;
-  for (; k < n && !g_buffer.samples.empty();) {
+  for (; k < static_cast<int32_t>(n) && !g_buffer.samples.empty();) {
     int32_t this_block = n - k;
 
     auto &p = g_buffer.samples.front();
@@ -99,7 +99,7 @@ static int PlayCallback(const void * /*in*/, void *out,
 
       k = n;
 
-      if (p.consumed == p.data.size()) {
+      if (p.consumed == static_cast<int32_t>(p.data.size())) {
         g_buffer.samples.pop();
       }
       break;
@@ -110,7 +110,7 @@ static int PlayCallback(const void * /*in*/, void *out,
     g_buffer.samples.pop();
   }
 
-  if (k < n) {
+  if (k < static_cast<int32_t>(n)) {
     std::fill_n(pout + k, n - k, 0);
   }
 
@@ -121,7 +121,7 @@ static int PlayCallback(const void * /*in*/, void *out,
   return paContinue;
 }
 
-static void PlayCallbackFinished(void *userData) { g_cv.notify_all(); }
+static void PlayCallbackFinished(void * /*userData*/) { g_cv.notify_all(); }
 
 static void StartPlayback(int32_t sample_rate) {
   int32_t frames_per_buffer = 1024;

@@ -9,7 +9,7 @@
 #include "sherpa-onnx/csrc/parse-options.h"
 #include "sherpa-onnx/csrc/wave-writer.h"
 
-void audioCallback(const float *samples, int32_t n, float progress) {
+void audioCallback(const float * /*samples*/, int32_t n, float progress) {
   printf("sample=%d, progress=%f\n", n, progress);
 }
 

@@ -25,14 +25,14 @@ static int32_t RecordCallback(const void *input_buffer,
                               unsigned long frames_per_buffer,  // NOLINT
                               const PaStreamCallbackTimeInfo * /*time_info*/,
                               PaStreamCallbackFlags /*status_flags*/,
-                              void *user_data) {
+                              void * /*user_data*/) {
   std::lock_guard<std::mutex> lock(mutex);
   buffer.Push(reinterpret_cast<const float *>(input_buffer), frames_per_buffer);
 
   return stop ? paComplete : paContinue;
 }
 
-static void Handler(int32_t sig) {
+static void Handler(int32_t /*sig*/) {
   stop = true;
   fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
 }

@@ -25,14 +25,14 @@ static int32_t RecordCallback(const void *input_buffer,
                               unsigned long frames_per_buffer,  // NOLINT
                               const PaStreamCallbackTimeInfo * /*time_info*/,
                               PaStreamCallbackFlags /*status_flags*/,
-                              void *user_data) {
+                              void * /*user_data*/) {
   std::lock_guard<std::mutex> lock(mutex);
   buffer.Push(reinterpret_cast<const float *>(input_buffer), frames_per_buffer);
 
   return stop ? paComplete : paContinue;
 }
 
-static void Handler(int32_t sig) {
+static void Handler(int32_t /*sig*/) {
   stop = true;
   fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
 }

@@ -26,8 +26,6 @@ Ort::Value Slice(OrtAllocator *allocator, const Ort::Value *v,
   assert(dim1_start < dim1_end);
   assert(dim1_end <= shape[1]);
 
-  const T *src = v->GetTensorData<T>();
-
   std::array<int64_t, 3> ans_shape{dim0_end - dim0_start, dim1_end - dim1_start,
                                    shape[2]};
 

@@ -50,7 +50,7 @@ class SpeakerEmbeddingManager::Impl {
     }
 
     for (const auto &x : embedding_list) {
-      if (x.size() != dim_) {
+      if (static_cast<int32_t>(x.size()) != dim_) {
         SHERPA_ONNX_LOGE("Given dim: %d, expected dim: %d",
                          static_cast<int32_t>(x.size()), dim_);
         return false;
@@ -224,7 +224,7 @@ bool SpeakerEmbeddingManager::Verify(const std::string &name, const float *p,
 }
 
 float SpeakerEmbeddingManager::Score(const std::string &name,
-                                    const float *p) const {
+                                     const float *p) const {
   return impl_->Score(name, p);
 }
 

@@ -58,7 +58,7 @@ std::vector<Ort::Value> Unbind(OrtAllocator *allocator, const Ort::Value *value,
     }
   }
 
-  return std::move(ans);
+  return ans;
 }
 
 template std::vector<Ort::Value> Unbind<float>(OrtAllocator *allocator,

@@ -161,7 +161,7 @@ std::vector<float> ReadWaveImpl(std::istream &is, int32_t *sampling_rate,
   }
 
   std::vector<float> ans(samples.size());
-  for (int32_t i = 0; i != ans.size(); ++i) {
+  for (int32_t i = 0; i != static_cast<int32_t>(ans.size()); ++i) {
     ans[i] = samples[i] / 32768.;
   }
 

@@ -146,13 +146,13 @@ JNIEXPORT jlong JNICALL Java_com_k2fsa_sherpa_onnx_KeywordSpotter_newFromFile(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_KeywordSpotter_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::KeywordSpotter *>(ptr);
 }
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_KeywordSpotter_decode(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
   auto kws = reinterpret_cast<sherpa_onnx::KeywordSpotter *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(stream_ptr);
 
@@ -185,7 +185,7 @@ JNIEXPORT jlong JNICALL Java_com_k2fsa_sherpa_onnx_KeywordSpotter_createStream(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_KeywordSpotter_isReady(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
   auto kws = reinterpret_cast<sherpa_onnx::KeywordSpotter *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(stream_ptr);
 

@@ -86,7 +86,7 @@ Java_com_k2fsa_sherpa_onnx_OfflinePunctuation_newFromFile(JNIEnv *env,
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OfflinePunctuation_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::OfflinePunctuation *>(ptr);
 }
 

@@ -220,13 +220,13 @@ Java_com_k2fsa_sherpa_onnx_OfflineRecognizer_newFromFile(JNIEnv *env,
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OfflineRecognizer_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::OfflineRecognizer *>(ptr);
 }
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jlong JNICALL
-Java_com_k2fsa_sherpa_onnx_OfflineRecognizer_createStream(JNIEnv *env,
+Java_com_k2fsa_sherpa_onnx_OfflineRecognizer_createStream(JNIEnv * /*env*/,
                                                           jobject /*obj*/,
                                                           jlong ptr) {
   auto recognizer = reinterpret_cast<sherpa_onnx::OfflineRecognizer *>(ptr);
@@ -242,7 +242,7 @@ Java_com_k2fsa_sherpa_onnx_OfflineRecognizer_createStream(JNIEnv *env,
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OfflineRecognizer_decode(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong streamPtr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong streamPtr) {
   auto recognizer = reinterpret_cast<sherpa_onnx::OfflineRecognizer *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OfflineStream *>(streamPtr);
 

@@ -8,7 +8,7 @@
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OfflineStream_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::OfflineStream *>(ptr);
 }
 

@@ -136,19 +136,19 @@ JNIEXPORT jlong JNICALL Java_com_k2fsa_sherpa_onnx_OfflineTts_newFromFile(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OfflineTts_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::OfflineTts *>(ptr);
 }
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jint JNICALL Java_com_k2fsa_sherpa_onnx_OfflineTts_getSampleRate(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   return reinterpret_cast<sherpa_onnx::OfflineTts *>(ptr)->SampleRate();
 }
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jint JNICALL Java_com_k2fsa_sherpa_onnx_OfflineTts_getNumSpeakers(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   return reinterpret_cast<sherpa_onnx::OfflineTts *>(ptr)->NumSpeakers();
 }
 

@@ -284,13 +284,13 @@ JNIEXPORT jlong JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_newFromFile(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::OnlineRecognizer *>(ptr);
 }
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_reset(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
   auto recognizer = reinterpret_cast<sherpa_onnx::OnlineRecognizer *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(stream_ptr);
   recognizer->Reset(stream);
@@ -298,7 +298,7 @@ JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_reset(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_isReady(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
   auto recognizer = reinterpret_cast<sherpa_onnx::OnlineRecognizer *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(stream_ptr);
 
@@ -307,7 +307,7 @@ JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_isReady(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_isEndpoint(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
   auto recognizer = reinterpret_cast<sherpa_onnx::OnlineRecognizer *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(stream_ptr);
 
@@ -316,7 +316,7 @@ JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_isEndpoint(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineRecognizer_decode(
-    JNIEnv *env, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr, jlong stream_ptr) {
   auto recognizer = reinterpret_cast<sherpa_onnx::OnlineRecognizer *>(ptr);
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(stream_ptr);
 

@@ -8,7 +8,7 @@
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineStream_delete(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::OnlineStream *>(ptr);
 }
 
@@ -26,7 +26,7 @@ JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineStream_acceptWaveform(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_OnlineStream_inputFinished(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   auto stream = reinterpret_cast<sherpa_onnx::OnlineStream *>(ptr);
   stream->InputFinished();
 }

@@ -77,7 +77,7 @@ Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_newFromFile(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL
-Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_delete(JNIEnv *env,
+Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_delete(JNIEnv * /*env*/,
                                                             jobject /*obj*/,
                                                             jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::SpeakerEmbeddingExtractor *>(ptr);
@@ -86,7 +86,7 @@ Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_delete(JNIEnv *env,
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jlong JNICALL
 Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_createStream(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   std::unique_ptr<sherpa_onnx::OnlineStream> s =
       reinterpret_cast<sherpa_onnx::SpeakerEmbeddingExtractor *>(ptr)
           ->CreateStream();
@@ -101,7 +101,7 @@ Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_createStream(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jboolean JNICALL
-Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_isReady(JNIEnv *env,
+Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_isReady(JNIEnv * /*env*/,
                                                              jobject /*obj*/,
                                                              jlong ptr,
                                                              jlong stream_ptr) {
@@ -130,7 +130,7 @@ Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_compute(JNIEnv *env,
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jint JNICALL Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingExtractor_dim(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   auto extractor =
       reinterpret_cast<sherpa_onnx::SpeakerEmbeddingExtractor *>(ptr);
   return extractor->Dim();

@@ -17,7 +17,7 @@ Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingManager_create(JNIEnv *env,
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL
-Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingManager_delete(JNIEnv *env,
+Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingManager_delete(JNIEnv * /*env*/,
                                                           jobject /*obj*/,
                                                           jlong ptr) {
   auto manager = reinterpret_cast<sherpa_onnx::SpeakerEmbeddingManager *>(ptr);
@@ -178,7 +178,7 @@ Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingManager_contains(JNIEnv *env,
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jint JNICALL
-Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingManager_numSpeakers(JNIEnv *env,
+Java_com_k2fsa_sherpa_onnx_SpeakerEmbeddingManager_numSpeakers(JNIEnv * /*env*/,
                                                                jobject /*obj*/,
                                                                jlong ptr) {
   auto manager = reinterpret_cast<sherpa_onnx::SpeakerEmbeddingManager *>(ptr);

@@ -101,7 +101,7 @@ Java_com_k2fsa_sherpa_onnx_SpokenLanguageIdentification_newFromFile(
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT void JNICALL
-Java_com_k2fsa_sherpa_onnx_SpokenLanguageIdentification_delete(JNIEnv *env,
+Java_com_k2fsa_sherpa_onnx_SpokenLanguageIdentification_delete(JNIEnv * /*env*/,
                                                                jobject /*obj*/,
                                                                jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::SpokenLanguageIdentification *>(ptr);
@@ -110,7 +110,7 @@ Java_com_k2fsa_sherpa_onnx_SpokenLanguageIdentification_delete(JNIEnv *env,
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT jlong JNICALL
 Java_com_k2fsa_sherpa_onnx_SpokenLanguageIdentification_createStream(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   auto slid =
       reinterpret_cast<sherpa_onnx::SpokenLanguageIdentification *>(ptr);
   std::unique_ptr<sherpa_onnx::OfflineStream> s = slid->CreateStream();

@@ -97,7 +97,7 @@ JNIEXPORT jlong JNICALL Java_com_k2fsa_sherpa_onnx_Vad_newFromFile(
 }
 
 SHERPA_ONNX_EXTERN_C
-JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_delete(JNIEnv *env,
+JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_delete(JNIEnv * /*env*/,
                                                              jobject /*obj*/,
                                                              jlong ptr) {
   delete reinterpret_cast<sherpa_onnx::VoiceActivityDetector *>(ptr);
@@ -117,7 +117,7 @@ JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_acceptWaveform(
 }
 
 SHERPA_ONNX_EXTERN_C
-JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_Vad_empty(JNIEnv *env,
+JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_Vad_empty(JNIEnv * /*env*/,
                                                             jobject /*obj*/,
                                                             jlong ptr) {
   auto model = reinterpret_cast<sherpa_onnx::VoiceActivityDetector *>(ptr);
@@ -125,7 +125,7 @@ JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_Vad_empty(JNIEnv *env,
 }
 
 SHERPA_ONNX_EXTERN_C
-JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_pop(JNIEnv *env,
+JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_pop(JNIEnv * /*env*/,
                                                           jobject /*obj*/,
                                                           jlong ptr) {
   auto model = reinterpret_cast<sherpa_onnx::VoiceActivityDetector *>(ptr);
@@ -133,7 +133,7 @@ JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_pop(JNIEnv *env,
 }
 
 SHERPA_ONNX_EXTERN_C
-JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_clear(JNIEnv *env,
+JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_clear(JNIEnv * /*env*/,
                                                             jobject /*obj*/,
                                                             jlong ptr) {
   auto model = reinterpret_cast<sherpa_onnx::VoiceActivityDetector *>(ptr);
@@ -161,13 +161,13 @@ Java_com_k2fsa_sherpa_onnx_Vad_front(JNIEnv *env, jobject /*obj*/, jlong ptr) {
 
 SHERPA_ONNX_EXTERN_C
 JNIEXPORT bool JNICALL Java_com_k2fsa_sherpa_onnx_Vad_isSpeechDetected(
-    JNIEnv *env, jobject /*obj*/, jlong ptr) {
+    JNIEnv * /*env*/, jobject /*obj*/, jlong ptr) {
   auto model = reinterpret_cast<sherpa_onnx::VoiceActivityDetector *>(ptr);
   return model->IsSpeechDetected();
 }
 
 SHERPA_ONNX_EXTERN_C
-JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_reset(JNIEnv *env,
+JNIEXPORT void JNICALL Java_com_k2fsa_sherpa_onnx_Vad_reset(JNIEnv * /*env*/,
                                                             jobject /*obj*/,
                                                             jlong ptr) {
   auto model = reinterpret_cast<sherpa_onnx::VoiceActivityDetector *>(ptr);

@@ -63,7 +63,11 @@ if(APPLE)
     OUTPUT_VARIABLE PYTHON_SITE_PACKAGE_DIR
   )
   message(STATUS "PYTHON_SITE_PACKAGE_DIR: ${PYTHON_SITE_PACKAGE_DIR}")
-  target_link_libraries(_sherpa_onnx PRIVATE "-Wl,-rpath,${PYTHON_SITE_PACKAGE_DIR}")
+  if(PYTHON_SITE_PACKAGE_DIR STREQUAL "")
+    message(WARNING "PYTHON_SITE_PACKAGE_DIR is empty!")
+  else()
+    target_link_libraries(_sherpa_onnx PRIVATE "-Wl,-rpath,${PYTHON_SITE_PACKAGE_DIR}")
+  endif()
 endif()
 
 if(NOT WIN32)