refactor: rename generate_mutex_ to inference_mutex_

Author: barhanc

packages/react-native-executorch/common/rnexecutorch/models/embeddings/text/TextEmbeddings.cpp

@@ -36,13 +36,13 @@ TokenIdsWithAttentionMask TextEmbeddings::preprocess(const std::string &input) {
 }
 
 void TextEmbeddings::unload() noexcept {
-  std::scoped_lock lock(generate_mutex_);
+  std::scoped_lock lock(inference_mutex_);
   BaseModel::unload();
 }
 
 std::shared_ptr<OwningArrayBuffer>
 TextEmbeddings::generate(const std::string input) {
-  std::scoped_lock lock(generate_mutex_);
+  std::scoped_lock lock(inference_mutex_);
   auto preprocessed = preprocess(input);
 
   std::vector<int32_t> tokenIdsShape = {

packages/react-native-executorch/common/rnexecutorch/models/embeddings/text/TextEmbeddings.h

@@ -24,7 +24,7 @@ class TextEmbeddings final : public BaseEmbeddings {
   void unload() noexcept;
 
 private:
-  mutable std::mutex generate_mutex_;
+  mutable std::mutex inference_mutex_;
   std::vector<std::vector<int32_t>> inputShapes;
   TokenIdsWithAttentionMask preprocess(const std::string &input);
   std::unique_ptr<TokenizerModule> tokenizer;

packages/react-native-executorch/common/rnexecutorch/models/text_to_image/TextToImage.cpp

@@ -58,7 +58,7 @@ std::shared_ptr<OwningArrayBuffer>
 TextToImage::generate(std::string input, int32_t imageSize,
                       size_t numInferenceSteps, int32_t seed,
                       std::shared_ptr<jsi::Function> callback) {
-  std::scoped_lock lock(generate_mutex_);
+  std::scoped_lock lock(inference_mutex_);
   setImageSize(imageSize);
   setSeed(seed);
 
@@ -138,7 +138,7 @@ size_t TextToImage::getMemoryLowerBound() const noexcept {
 }
 
 void TextToImage::unload() noexcept {
-  std::scoped_lock lock(generate_mutex_);
+  std::scoped_lock lock(inference_mutex_);
   encoder->unload();
   unet->unload();
   decoder->unload();

packages/react-native-executorch/common/rnexecutorch/models/text_to_image/TextToImage.h

@@ -50,7 +50,7 @@ class TextToImage final {
   static constexpr float guidanceScale = 7.5f;
   static constexpr float latentsScale = 0.18215f;
   bool interrupted = false;
-  mutable std::mutex generate_mutex_;
+  mutable std::mutex inference_mutex_;
 
   std::shared_ptr<react::CallInvoker> callInvoker;
   std::unique_ptr<Scheduler> scheduler;

packages/react-native-executorch/common/rnexecutorch/models/voice_activity_detection/VoiceActivityDetection.cpp

@@ -55,13 +55,13 @@ VoiceActivityDetection::preprocess(std::span<float> waveform) const {
 }
 
 void VoiceActivityDetection::unload() noexcept {
-  std::scoped_lock lock(generate_mutex_);
+  std::scoped_lock lock(inference_mutex_);
   BaseModel::unload();
 }
 
 std::vector<types::Segment>
 VoiceActivityDetection::generate(std::span<float> waveform) const {
-  std::scoped_lock lock(generate_mutex_);
+  std::scoped_lock lock(inference_mutex_);
 
   auto windowedInput = preprocess(waveform);
   auto [chunksNumber, remainder] = std::div(

packages/react-native-executorch/common/rnexecutorch/models/voice_activity_detection/VoiceActivityDetection.h

@@ -26,7 +26,7 @@ class VoiceActivityDetection : public BaseModel {
   void unload() noexcept;
 
 private:
-  mutable std::mutex generate_mutex_;
+  mutable std::mutex inference_mutex_;
   std::vector<std::array<float, constants::kPaddedWindowSize>>
   preprocess(std::span<float> waveform) const;
   std::vector<types::Segment> postprocess(const std::vector<float> &scores,