diff --git a/example-onnx_mnist/src/ofApp.cpp b/example-onnx_mnist/src/ofApp.cpp
index 9194887..f4b19b4 100644
--- a/example-onnx_mnist/src/ofApp.cpp
+++ b/example-onnx_mnist/src/ofApp.cpp
@@ -47,9 +47,12 @@ public:
 		pix.setFromExternalPixels(mnist2.getInputTensorData(), 28, 28, 1);
 
 		//mnist->Run();
-		mnist2.run();
+        auto& result = mnist2.run();
+        const float *output_ptr = result.GetTensorMutableData<float>();
 
 		mnist_result.resize(10);
+        
+        cerr << "API : " << Ort::Global<void>::api_ << endl;
 	}
 
 	void update() {
diff --git a/src/ofxOnnxRuntime.cpp b/src/ofxOnnxRuntime.cpp
index e882125..2ca6633 100644
--- a/src/ofxOnnxRuntime.cpp
+++ b/src/ofxOnnxRuntime.cpp
@@ -66,13 +66,16 @@ namespace ofxOnnxRuntime
 		// 4. output names & output dimms
 		num_outputs = ort_session->GetOutputCount();
 		output_node_names.resize(num_outputs);
+        output_node_dims.clear();
+        output_values.clear();
 		for (unsigned int i = 0; i < num_outputs; ++i)
 		{
 			output_node_names[i] = ort_session->GetOutputName(i, allocator);
 			Ort::TypeInfo output_type_info = ort_session->GetOutputTypeInfo(i);
 			auto output_tensor_info = output_type_info.GetTensorTypeAndShapeInfo();
 			auto output_dims = output_tensor_info.GetShape();
-			output_node_dims.push_back(output_dims);
+			output_node_dims.emplace_back(output_dims);
+            output_values.emplace_back(nullptr);
 		}
 	}
 
@@ -81,14 +84,14 @@ namespace ofxOnnxRuntime
 		auto input_tensor_ = Ort::Value::CreateTensor<float>(
 			memory_info_handler, input_values_handler.data(), input_tensor_size,
 			input_node_dims.data(), input_node_dims.size());
-		auto result = ort_session->Run(Ort::RunOptions{ nullptr }, input_node_names.data(), &input_tensor_, input_node_names.size(),
-			output_node_names.data(), output_node_names.size());
+		ort_session->Run(Ort::RunOptions{ nullptr }, input_node_names.data(), &input_tensor_, input_node_names.size(),
+			output_node_names.data(), output_values.data(), output_node_names.size());
 
-		if (result.size() == 1) {
-			return result.front();
+		if (output_values.size() == 1) {
+			return output_values.at(0);
 		}
 		else {
-			return dummy_tensor_;
+			return dummy_tensor;
 		}
 	}
-}
\ No newline at end of file
+}
diff --git a/src/ofxOnnxRuntime.h b/src/ofxOnnxRuntime.h
index a2945b5..e8001f5 100644
--- a/src/ofxOnnxRuntime.h
+++ b/src/ofxOnnxRuntime.h
@@ -20,6 +20,8 @@ namespace ofxOnnxRuntime
 	class BaseHandler
 	{
 	public:
+        BaseHandler() {}
+        
 		void setup(const std::string& onnx_path, const BaseSetting& base_setting = BaseSetting{ INFER_CPU, 0 });
 		void setup2(const std::string& onnx_path, const Ort::SessionOptions& session_options);
 
@@ -35,10 +37,11 @@ namespace ofxOnnxRuntime
 		std::vector<int64_t> input_node_dims; // 1 input only.
 		std::size_t input_tensor_size = 1;
 		std::vector<float> input_values_handler;
-		Ort::Value dummy_tensor_{ nullptr };
-		Ort::MemoryInfo memory_info_handler = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
+		Ort::MemoryInfo memory_info_handler = Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeCPU);
 		std::vector<const char *> output_node_names;
 		std::vector<std::vector<int64_t>> output_node_dims; // >=1 outputs
+        std::vector<Ort::Value> output_values;
+        Ort::Value dummy_tensor{nullptr};
 		int num_outputs = 1;
 	};
-}
\ No newline at end of file
+}