add clear act when dealloc

src/io/api_paddle_mobile.cc

@@ -101,6 +101,11 @@ bool PaddleMobilePredictor<Dtype, P>::Run(
   return true;
 }
 
+template <typename Dtype, Precision P>
+PaddleMobilePredictor<Dtype, P>::~PaddleMobilePredictor() {
+  paddle_mobile_->Clear();
+}
+
 // A factory to help create difference predictor.
 template <>
 std::unique_ptr<PaddlePredictor>

src/io/api_paddle_mobile.h

@@ -32,7 +32,7 @@ namespace paddle_mobile {
 template <typename Dtype = CPU, Precision P = Precision::FP32>
 class PaddleMobilePredictor : public PaddlePredictor {
  public:
-  PaddleMobilePredictor() {}
+  PaddleMobilePredictor() = delete;
 
   explicit PaddleMobilePredictor(const PaddleMobileConfig& config);
 
@@ -40,7 +40,7 @@ class PaddleMobilePredictor : public PaddlePredictor {
            std::vector<PaddleTensor>* output_data,
            int batch_size = -1) override;
 
-  ~PaddleMobilePredictor() override{};
+  ~PaddleMobilePredictor() override;
 
  private:
   std::unique_ptr<PaddleMobile<Dtype, P>> paddle_mobile_;

src/io/paddle_inference_api.h

@@ -87,7 +87,6 @@ enum class PaddleEngineKind {
 class PaddlePredictor {
  public:
   struct Config;
-  PaddlePredictor() = default;
   PaddlePredictor(const PaddlePredictor&) = delete;
   PaddlePredictor& operator=(const PaddlePredictor&) = delete;
 
@@ -107,6 +106,9 @@ class PaddlePredictor {
   struct Config {
     std::string model_dir;  // path to the model directory.
   };
+
+ protected:
+  PaddlePredictor() = default;
 };
 
 struct PaddleMobileConfig : public PaddlePredictor::Config {

test/framework/test_inference_api.cpp

@@ -46,7 +46,12 @@ int main() {
   tensor_out.dtype = PaddleDType::FLOAT32;
   std::vector<PaddleTensor> outputs(1, tensor_out);
 
-  assert(predictor->Run(paddle_tensor_feeds, &outputs));
+  std::cout << " before predict " << std::endl;
+
+  predictor->Run(paddle_tensor_feeds, &outputs);
+
+  std::cout << " after predict " << std::endl;
+  //  assert();
 
   float* data_o = static_cast<float*>(outputs[0].data.data());
   for (size_t j = 0; j < outputs[0].data.length() / sizeof(float); ++j) {