fix: mark some methods const in the BaseModel

Author: chmjkb

packages/react-native-executorch/common/rnexecutorch/models/BaseModel.cpp

@@ -30,7 +30,7 @@ BaseModel::BaseModel(const std::string &modelSource,
 }
 
 std::vector<int32_t> BaseModel::getInputShape(std::string method_name,
-                                              int32_t index) {
+                                              int32_t index) const {
   if (!module_) {
     throw std::runtime_error("Model not loaded: Cannot get input shape");
   }
@@ -88,7 +88,7 @@ BaseModel::getAllInputShapes(std::string methodName) const {
 /// to JS. It is not meant to be used within C++. If you want to call forward
 /// from C++ on a BaseModel, please use BaseModel::forward.
 std::vector<JSTensorViewOut>
-BaseModel::forwardJS(std::vector<JSTensorViewIn> tensorViewVec) {
+BaseModel::forwardJS(std::vector<JSTensorViewIn> tensorViewVec) const {
   if (!module_) {
     throw std::runtime_error("Model not loaded: Cannot perform forward pass");
   }
@@ -136,7 +136,7 @@ BaseModel::forwardJS(std::vector<JSTensorViewIn> tensorViewVec) {
 }
 
 Result<executorch::runtime::MethodMeta>
-BaseModel::getMethodMeta(const std::string &methodName) {
+BaseModel::getMethodMeta(const std::string &methodName) const {
   if (!module_) {
     throw std::runtime_error("Model not loaded: Cannot get method meta!");
   }
@@ -161,7 +161,7 @@ BaseModel::forward(const std::vector<EValue> &input_evalues) const {
 
 Result<std::vector<EValue>>
 BaseModel::execute(const std::string &methodName,
-                   const std::vector<EValue> &input_value) {
+                   const std::vector<EValue> &input_value) const {
   if (!module_) {
     throw std::runtime_error("Model not loaded, cannot run execute.");
   }
@@ -175,7 +175,7 @@ std::size_t BaseModel::getMemoryLowerBound() const noexcept {
 void BaseModel::unload() noexcept { module_.reset(nullptr); }
 
 std::vector<int32_t>
-BaseModel::getTensorShape(const executorch::aten::Tensor &tensor) {
+BaseModel::getTensorShape(const executorch::aten::Tensor &tensor) const {
   auto sizes = tensor.sizes();
   return std::vector<int32_t>(sizes.begin(), sizes.end());
 }

packages/react-native-executorch/common/rnexecutorch/models/BaseModel.h

@@ -25,18 +25,20 @@ class BaseModel {
       Module::LoadMode loadMode = Module::LoadMode::MmapUseMlockIgnoreErrors);
   std::size_t getMemoryLowerBound() const noexcept;
   void unload() noexcept;
-  std::vector<int32_t> getInputShape(std::string method_name, int32_t index);
+  std::vector<int32_t> getInputShape(std::string method_name,
+                                     int32_t index) const;
   std::vector<std::vector<int32_t>>
   getAllInputShapes(std::string methodName = "forward") const;
   std::vector<JSTensorViewOut>
-  forwardJS(std::vector<JSTensorViewIn> tensorViewVec);
+  forwardJS(std::vector<JSTensorViewIn> tensorViewVec) const;
   Result<std::vector<EValue>> forward(const EValue &input_value) const;
   Result<std::vector<EValue>>
   forward(const std::vector<EValue> &input_value) const;
-  Result<std::vector<EValue>> execute(const std::string &methodName,
-                                      const std::vector<EValue> &input_value);
+  Result<std::vector<EValue>>
+  execute(const std::string &methodName,
+          const std::vector<EValue> &input_value) const;
   Result<executorch::runtime::MethodMeta>
-  getMethodMeta(const std::string &methodName);
+  getMethodMeta(const std::string &methodName) const;
 
 protected:
   // If possible, models should not use the JS runtime to keep JSI internals
@@ -49,7 +51,8 @@ class BaseModel {
   std::size_t memorySizeLowerBound{0};
 
 private:
-  std::vector<int32_t> getTensorShape(const executorch::aten::Tensor &tensor);
+  std::vector<int32_t>
+  getTensorShape(const executorch::aten::Tensor &tensor) const;
 };
 } // namespace models