diff --git a/paddle/fluid/framework/op_proto_maker.h b/paddle/fluid/framework/op_proto_maker.h
index 0a0f8f4655bc34cdb25205ff6eaec9f96c801ebd..5f3ce60e1d94ea4078cf0b709df362bad317f621 100644
--- a/paddle/fluid/framework/op_proto_maker.h
+++ b/paddle/fluid/framework/op_proto_maker.h
@@ -27,7 +27,7 @@ enum class OpRole {
   kForward = 0x0000,
   kBackward = 0x0001,
   kOptimize = 0x0002,
-  // RPC role is for send/recv releated op
+  // RPC role is for send/recv related op
   kRPC = 0x0004,
   // Dist role is for split_byref/split_selected_rows/concat
   // used for distributed training.
diff --git a/paddle/fluid/inference/api/analysis_config.cc b/paddle/fluid/inference/api/analysis_config.cc
index e92273b4dd94f11e0e90c91fd82dafe42bf158f3..522ab495227e9b8c52b8d38db696fa9b785ba642 100644
--- a/paddle/fluid/inference/api/analysis_config.cc
+++ b/paddle/fluid/inference/api/analysis_config.cc
@@ -89,7 +89,7 @@ AnalysisConfig::AnalysisConfig(const AnalysisConfig &other) {
   CP_MEMBER(params_file_);
   CP_MEMBER(model_from_memory_);  // the memory model reuses prog_file_ and
                                   // params_file_ fields.
-  // Gpu releated.
+  // Gpu related.
   CP_MEMBER(use_gpu_);
   CP_MEMBER(device_id_);
   CP_MEMBER(memory_pool_init_size_mb_);
@@ -97,13 +97,13 @@ AnalysisConfig::AnalysisConfig(const AnalysisConfig &other) {
   CP_MEMBER(enable_memory_optim_);
   CP_MEMBER(static_memory_optim_);
   CP_MEMBER(static_memory_optim_force_update_);
-  // TensorRT releated.
+  // TensorRT related.
   CP_MEMBER(use_tensorrt_);
   CP_MEMBER(tensorrt_workspace_size_);
   CP_MEMBER(tensorrt_max_batchsize_);
   CP_MEMBER(tensorrt_min_subgraph_size_);
   CP_MEMBER(tensorrt_precision_mode_);
-  // MKLDNN releated.
+  // MKLDNN related.
   CP_MEMBER(use_mkldnn_);
   CP_MEMBER(mkldnn_enabled_op_types_);
 
diff --git a/paddle/fluid/inference/api/analysis_predictor.cc b/paddle/fluid/inference/api/analysis_predictor.cc
index 712e010db4340bde55945f89c488ba8cc38a1926..e8964c4acea0d220deca048a018eb7de42d7e4e5 100644
--- a/paddle/fluid/inference/api/analysis_predictor.cc
+++ b/paddle/fluid/inference/api/analysis_predictor.cc
@@ -392,7 +392,7 @@ std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<
     AnalysisConfig, PaddleEngineKind::kAnalysis>(const AnalysisConfig &config) {
   VLOG(3) << "create AnalysisConfig";
   if (config.use_gpu()) {
-    // 1. GPU memeroy
+    // 1. GPU memory
     PADDLE_ENFORCE_GT(config.memory_pool_init_size_mb(), 0.f);
     PADDLE_ENFORCE_GE(config.gpu_device_id(), 0, "Invalid device id %d",
                       config.gpu_device_id());
@@ -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();
 }
 
diff --git a/paddle/fluid/inference/api/analysis_predictor.h b/paddle/fluid/inference/api/analysis_predictor.h
index 014df4ee8b6d86232212736c43a9aff32ffee011..d5445c58e45ae64a8cfab03cb610e3677729338b 100644
--- a/paddle/fluid/inference/api/analysis_predictor.h
+++ b/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.
diff --git a/paddle/fluid/inference/api/analysis_predictor_tester.cc b/paddle/fluid/inference/api/analysis_predictor_tester.cc
index 002ba90e40e69d565f5a54e374a3f0083b84273f..6696839b53fb21c274843afd86b5d8b5c2042c51 100644
--- a/paddle/fluid/inference/api/analysis_predictor_tester.cc
+++ b/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++) {
diff --git a/paddle/fluid/inference/api/api_impl.cc b/paddle/fluid/inference/api/api_impl.cc
index e18bc02d92eb517fa20dc83811694b8ac80ae316..97c164bdef7a4b3e66be78526793f3830ada398b 100644
--- a/paddle/fluid/inference/api/api_impl.cc
+++ b/paddle/fluid/inference/api/api_impl.cc
@@ -290,7 +290,7 @@ std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<
     NativeConfig, PaddleEngineKind::kNative>(const NativeConfig &config) {
   VLOG(3) << "create NativePaddlePredictor";
   if (config.use_gpu) {
-    // 1. GPU memeroy
+    // 1. GPU memory
     PADDLE_ENFORCE_GE(
         config.fraction_of_gpu_memory, 0.f,
         "fraction_of_gpu_memory in the config should be set to range (0., 1.]");
diff --git a/paddle/fluid/inference/api/paddle_analysis_config.h b/paddle/fluid/inference/api/paddle_analysis_config.h
index 47361b3279e14dd65a0e6e7f864e508ef1183045..c1c6227cdd8b2042f6765c7932327ecae246c260 100644
--- a/paddle/fluid/inference/api/paddle_analysis_config.h
+++ b/paddle/fluid/inference/api/paddle_analysis_config.h
@@ -212,12 +212,12 @@ struct AnalysisConfig {
   std::string prog_file_;
   std::string params_file_;
 
-  // GPU releated.
+  // GPU related.
   bool use_gpu_{false};
   int device_id_{0};
   uint64_t memory_pool_init_size_mb_{100};  // initial size is 100MB.
 
-  // TensorRT releated.
+  // TensorRT related.
   bool use_tensorrt_{false};
   // For workspace_size, refer it from here:
   // https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html#troubleshooting
diff --git a/paddle/fluid/inference/api/paddle_api.h b/paddle/fluid/inference/api/paddle_api.h
index f90a74b9102ee62d15c2d738b53971c9bde51439..c9a45b4aa3b4037d3725622fc960848bc1ccfb2c 100644
--- a/paddle/fluid/inference/api/paddle_api.h
+++ b/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";
   }