chore: Release v0.8.3

packages/react-native-executorch/common/rnexecutorch/host_objects/ModelHostObject.h

@@ -375,7 +375,9 @@ template <typename Model> class ModelHostObject : public JsiHostObject {
             // We need to dispatch a thread if we want the function to be
             // asynchronous. In this thread all accesses to jsi::Runtime need to
             // be done via the callInvoker.
-            threads::GlobalThreadPool::detach([this, promise,
+            threads::GlobalThreadPool::detach([model = this->model,
+                                               callInvoker = this->callInvoker,
+                                               promise,
                                                argsConverted =
                                                    std::move(argsConverted)]() {
               try {

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

@@ -35,8 +35,14 @@ TokenIdsWithAttentionMask TextEmbeddings::preprocess(const std::string &input) {
   return {.inputIds = inputIds64, .attentionMask = attentionMask};
 }
 
+void TextEmbeddings::unload() noexcept {
+  std::scoped_lock lock(inference_mutex_);
+  BaseModel::unload();
+}
+
 std::shared_ptr<OwningArrayBuffer>
 TextEmbeddings::generate(const std::string input) {
+  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

@@ -1,6 +1,7 @@
 #pragma once
 
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
+#include <mutex>
 #include <rnexecutorch/TokenizerModule.h>
 #include <rnexecutorch/models/embeddings/BaseEmbeddings.h>
 
@@ -20,8 +21,10 @@ class TextEmbeddings final : public BaseEmbeddings {
   [[nodiscard(
       "Registered non-void function")]] std::shared_ptr<OwningArrayBuffer>
   generate(const std::string input);
+  void unload() noexcept;
 
 private:
+  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/llm/LLM.cpp

@@ -20,7 +20,7 @@ using executorch::runtime::Error;
 LLM::LLM(const std::string &modelSource, const std::string &tokenizerSource,
          std::vector<std::string> capabilities,
          std::shared_ptr<react::CallInvoker> callInvoker)
-    : BaseModel(modelSource, callInvoker, Module::LoadMode::File) {
+    : BaseModel(modelSource, callInvoker, Module::LoadMode::Mmap) {
 
   if (capabilities.empty()) {
     runner_ =
@@ -42,8 +42,12 @@ LLM::LLM(const std::string &modelSource, const std::string &tokenizerSource,
     throw RnExecutorchError(loadResult, "Failed to load LLM runner");
   }
 
-  memorySizeLowerBound = fs::file_size(fs::path(modelSource)) +
-                         fs::file_size(fs::path(tokenizerSource));
+  // I am purposefully not adding file size of the model here. The reason is
+  // that Hermes would crash the app if we try to alloc too much memory here.
+  // Also, given we're using mmap, the true memory consumption of a model is not
+  // really equal to the size of the model. The size of the tokenizer file is a
+  // hint to the GC that this object might be worth getting rid of.
+  memorySizeLowerBound = fs::file_size(fs::path(tokenizerSource));
 }
 
 std::string LLM::generate(std::string input,

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

@@ -58,6 +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(inference_mutex_);
   setImageSize(imageSize);
   setSeed(seed);
 
@@ -137,6 +138,7 @@ size_t TextToImage::getMemoryLowerBound() const noexcept {
 }
 
 void TextToImage::unload() noexcept {
+  std::scoped_lock lock(inference_mutex_);
   encoder->unload();
   unet->unload();
   decoder->unload();

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

@@ -1,6 +1,7 @@
 #pragma once
 
 #include <memory>
+#include <mutex>
 #include <string>
 #include <vector>
 
@@ -49,6 +50,7 @@ class TextToImage final {
   static constexpr float guidanceScale = 7.5f;
   static constexpr float latentsScale = 0.18215f;
   bool interrupted = false;
+  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

@@ -54,8 +54,14 @@ VoiceActivityDetection::preprocess(std::span<float> waveform) const {
   return frameBuffer;
 }
 
+void VoiceActivityDetection::unload() noexcept {
+  std::scoped_lock lock(inference_mutex_);
+  BaseModel::unload();
+}
+
 std::vector<types::Segment>
 VoiceActivityDetection::generate(std::span<float> waveform) const {
+  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

@@ -5,6 +5,7 @@
 #include <executorch/extension/tensor/tensor.h>
 #include <executorch/extension/tensor/tensor_ptr.h>
 #include <executorch/runtime/core/evalue.h>
+#include <mutex>
 #include <span>
 
 #include "rnexecutorch/metaprogramming/ConstructorHelpers.h"
@@ -23,7 +24,11 @@ class VoiceActivityDetection : public BaseModel {
   [[nodiscard("Registered non-void function")]] std::vector<types::Segment>
   generate(std::span<float> waveform) const;
 
+  void unload() noexcept;
+
 private:
+  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,

packages/react-native-executorch/package.json

@@ -1,6 +1,6 @@
 {
   "name": "react-native-executorch",
-  "version": "0.8.2",
+  "version": "0.8.3",
   "description": "An easy way to run AI models in React Native with ExecuTorch",
   "source": "./src/index.ts",
   "main": "./lib/module/index.js",