fix typo seriazlized->serialized

paddle/fluid/inference/api/analysis_predictor.cc

@@ -726,7 +726,7 @@ bool AnalysisPredictor::need_collect_var_shapes_for_memory_optim() {
   return need;
 }
 
-std::string AnalysisPredictor::GetSeriazlizedProgram() const {
+std::string AnalysisPredictor::GetSerializedProgram() const {
   return inference_program_->Proto()->SerializeAsString();
 }
 

paddle/fluid/inference/api/analysis_predictor.h

@@ -74,7 +74,7 @@ class AnalysisPredictor : public PaddlePredictor {
 
   void SetMkldnnThreadID(int tid);
 
-  std::string GetSeriazlizedProgram() const override;
+  std::string GetSerializedProgram() const override;
 
  protected:
   // For memory optimization.

paddle/fluid/inference/api/analysis_predictor_tester.cc

@@ -214,8 +214,8 @@ TEST(AnalysisPredictor, memory_optim) {
   {
     // The first predictor help to cache the memory optimize strategy.
     auto predictor = CreatePaddlePredictor<AnalysisConfig>(config);
-    LOG(INFO) << "serialized program: " << predictor->GetSeriazlizedProgram();
-    ASSERT_FALSE(predictor->GetSeriazlizedProgram().empty());
+    LOG(INFO) << "serialized program: " << predictor->GetSerializedProgram();
+    ASSERT_FALSE(predictor->GetSerializedProgram().empty());
 
     // Run several times to check the parameters are not reused by mistake.
     for (int i = 0; i < 5; i++) {

paddle/fluid/inference/api/paddle_api.h

@@ -248,7 +248,7 @@ class PaddlePredictor {
   /** \brief Get the serialized model program that executes in inference phase.
    * Its data type is ProgramDesc, which is a protobuf message.
    */
-  virtual std::string GetSeriazlizedProgram() const {
+  virtual std::string GetSerializedProgram() const {
     assert(false);  // Force raise error.
     return "NotImplemented";
   }