AnalysisConfig remove contrib namespace (#15540)

paddle/fluid/inference/analysis/argument.h

@@ -132,7 +132,7 @@ struct Argument {
   DECL_ARGUMENT_FIELD(tensorrt_workspace_size, TensorRtWorkspaceSize, int);
   DECL_ARGUMENT_FIELD(tensorrt_min_subgraph_size, TensorRtMinSubgraphSize, int);
   DECL_ARGUMENT_FIELD(tensorrt_precision_mode, TensorRtPrecisionMode,
-                      contrib::AnalysisConfig::Precision);
+                      AnalysisConfig::Precision);
 
   // Memory optimized related.
   DECL_ARGUMENT_FIELD(enable_memory_optim, EnableMemoryOptim, bool);

paddle/fluid/inference/analysis/helper.h

@@ -32,7 +32,7 @@ limitations under the License. */
 #ifdef _WIN32
 #include <direct.h>
 #include <io.h>
-#define GCC_ATTRIBUTE(attr__) ;
+#define GCC_ATTRIBUTE(attr__)
 #define MKDIR(path) _mkdir(path)
 #else
 #include <unistd.h>

paddle/fluid/inference/analysis/ir_pass_manager.cc

@@ -71,7 +71,7 @@ void IRPassManager::CreatePasses(Argument *argument,
                 new framework::ProgramDesc *(&argument->main_program()));
 
       bool enable_int8 = argument->tensorrt_precision_mode() ==
-                         contrib::AnalysisConfig::Precision::kInt8;
+                         AnalysisConfig::Precision::kInt8;
 
       pass->Set("enable_int8", new bool(enable_int8));
       std::string model_opt_cache_dir =

paddle/fluid/inference/api/analysis_config.cc

@@ -22,7 +22,7 @@
 
 namespace paddle {
 
-PassStrategy *contrib::AnalysisConfig::pass_builder() const {
+PassStrategy *AnalysisConfig::pass_builder() const {
   if (!pass_builder_.get()) {
     if (use_gpu_) {
       LOG(INFO) << "Create GPU IR passes";
@@ -42,26 +42,26 @@ PassStrategy *contrib::AnalysisConfig::pass_builder() const {
   return pass_builder_.get();
 }
 
-contrib::AnalysisConfig::AnalysisConfig(const std::string &model_dir) {
+AnalysisConfig::AnalysisConfig(const std::string &model_dir) {
   model_dir_ = model_dir;
 
   Update();
 }
-contrib::AnalysisConfig::AnalysisConfig(const std::string &prog_file,
+AnalysisConfig::AnalysisConfig(const std::string &prog_file,
                                const std::string &params_file) {
   prog_file_ = prog_file;
   params_file_ = params_file;
 
   Update();
 }
-void contrib::AnalysisConfig::SetModel(const std::string &prog_file_path,
+void AnalysisConfig::SetModel(const std::string &prog_file_path,
                               const std::string &params_file_path) {
   prog_file_ = prog_file_path;
   params_file_ = params_file_path;
 
   Update();
 }
-void contrib::AnalysisConfig::EnableUseGpu(uint64_t memory_pool_init_size_mb,
+void AnalysisConfig::EnableUseGpu(uint64_t memory_pool_init_size_mb,
                                   int device_id) {
 #ifdef PADDLE_WITH_CUDA
   use_gpu_ = true;
@@ -74,13 +74,13 @@ void contrib::AnalysisConfig::EnableUseGpu(uint64_t memory_pool_init_size_mb,
 
   Update();
 }
-void contrib::AnalysisConfig::DisableGpu() {
+void AnalysisConfig::DisableGpu() {
   use_gpu_ = false;
 
   Update();
 }
 
-contrib::AnalysisConfig::AnalysisConfig(const contrib::AnalysisConfig &other) {
+AnalysisConfig::AnalysisConfig(const AnalysisConfig &other) {
 #define CP_MEMBER(member__) member__ = other.member__;
 
   // Model related.
@@ -130,7 +130,7 @@ contrib::AnalysisConfig::AnalysisConfig(const contrib::AnalysisConfig &other) {
   Update();
 }
 
-void contrib::AnalysisConfig::EnableMKLDNN() {
+void AnalysisConfig::EnableMKLDNN() {
 #ifdef PADDLE_WITH_MKLDNN
   pass_builder()->EnableMKLDNN();
   use_mkldnn_ = true;
@@ -142,9 +142,9 @@ void contrib::AnalysisConfig::EnableMKLDNN() {
   Update();
 }
 
-void contrib::AnalysisConfig::EnableTensorRtEngine(
+void AnalysisConfig::EnableTensorRtEngine(
     int workspace_size, int max_batch_size, int min_subgraph_size,
-    contrib::AnalysisConfig::Precision precision_mode) {
+    AnalysisConfig::Precision precision_mode) {
 #ifdef PADDLE_WITH_CUDA
   if (!use_gpu()) {
     LOG(ERROR) << "To use TensorRT engine, please call EnableGpu() first";
@@ -165,7 +165,7 @@ void contrib::AnalysisConfig::EnableTensorRtEngine(
 }
 
 // TODO(Superjomn) refactor this, buggy.
-void contrib::AnalysisConfig::Update() {
+void AnalysisConfig::Update() {
   auto info = SerializeInfoCache();
   if (info == serialized_info_cache_) return;
 
@@ -225,7 +225,7 @@ void contrib::AnalysisConfig::Update() {
   }
 }
 
-std::string contrib::AnalysisConfig::SerializeInfoCache() {
+std::string AnalysisConfig::SerializeInfoCache() {
   std::stringstream ss;
   ss << model_dir_;
   ss << prog_file_;
@@ -260,14 +260,14 @@ std::string contrib::AnalysisConfig::SerializeInfoCache() {
   return ss.str();
 }
 
-void contrib::AnalysisConfig::SetCpuMathLibraryNumThreads(
+void AnalysisConfig::SetCpuMathLibraryNumThreads(
     int cpu_math_library_num_threads) {
   cpu_math_library_num_threads_ = cpu_math_library_num_threads;
 
   Update();
 }
 
-float contrib::AnalysisConfig::fraction_of_gpu_memory_for_pool() const {
+float AnalysisConfig::fraction_of_gpu_memory_for_pool() const {
 #ifdef PADDLE_WITH_CUDA
   // Get the GPU memory details and calculate the fraction of memory for the
   // GPU memory pool.
@@ -282,8 +282,8 @@ float contrib::AnalysisConfig::fraction_of_gpu_memory_for_pool() const {
 #endif
 }
 
-void contrib::AnalysisConfig::EnableMemoryOptim(
-    bool static_optim, bool force_update_static_cache) {
+void AnalysisConfig::EnableMemoryOptim(bool static_optim,
+                                       bool force_update_static_cache) {
   enable_memory_optim_ = true;
   static_memory_optim_ = static_optim;
   static_memory_optim_force_update_ = force_update_static_cache;
@@ -291,11 +291,11 @@ void contrib::AnalysisConfig::EnableMemoryOptim(
   Update();
 }
 
-bool contrib::AnalysisConfig::enable_memory_optim() const {
+bool AnalysisConfig::enable_memory_optim() const {
   return enable_memory_optim_;
 }
 
-void contrib::AnalysisConfig::SetModelBuffer(const char *prog_buffer,
+void AnalysisConfig::SetModelBuffer(const char *prog_buffer,
                                     size_t prog_buffer_size,
                                     const char *param_buffer,
                                     size_t param_buffer_size) {
@@ -306,7 +306,7 @@ void contrib::AnalysisConfig::SetModelBuffer(const char *prog_buffer,
   Update();
 }
 
-NativeConfig contrib::AnalysisConfig::ToNativeConfig() const {
+NativeConfig AnalysisConfig::ToNativeConfig() const {
   NativeConfig config;
   config.model_dir = model_dir_;
   config.prog_file = prog_file_;

paddle/fluid/inference/api/analysis_predictor.cc

@@ -47,7 +47,6 @@ DECLARE_bool(profile);
 
 namespace paddle {
 
-using contrib::AnalysisConfig;
 using inference::Singleton;
 #if PADDLE_WITH_TENSORRT
 using inference::tensorrt::TRTInt8Calibrator;
@@ -731,10 +730,10 @@ std::string AnalysisPredictor::GetSeriazlizedProgram() const {
 }
 
 template <>
-std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<contrib::AnalysisConfig>(
-    const contrib::AnalysisConfig &config) {
-  return CreatePaddlePredictor<contrib::AnalysisConfig,
-                               PaddleEngineKind::kAnalysis>(config);
+std::unique_ptr<PaddlePredictor> CreatePaddlePredictor<AnalysisConfig>(
+    const AnalysisConfig &config) {
+  return CreatePaddlePredictor<AnalysisConfig, PaddleEngineKind::kAnalysis>(
+      config);
 }
 
 }  // namespace paddle

paddle/fluid/inference/api/analysis_predictor.h

@@ -33,7 +33,6 @@ using inference::analysis::Argument;
 using inference::analysis::Analyzer;
 using framework::proto::ProgramDesc;
 using framework::NaiveExecutor;
-using contrib::AnalysisConfig;
 
 /** \brief This predictor is based on the original native predictor with IR and
  * Analysis support.
@@ -123,7 +122,7 @@ class AnalysisPredictor : public PaddlePredictor {
 #endif
 
  private:
-  contrib::AnalysisConfig config_;
+  AnalysisConfig config_;
   Argument argument_;
   std::unique_ptr<NaiveExecutor> executor_;
   platform::Place place_;

paddle/fluid/inference/api/analysis_predictor_tester.cc

@@ -24,7 +24,6 @@
 DEFINE_string(dirname, "", "dirname to tests.");
 
 namespace paddle {
-using contrib::AnalysisConfig;
 
 TEST(AnalysisPredictor, analysis_off) {
   AnalysisConfig config;

paddle/fluid/inference/api/api_impl_tester.cc

@@ -295,7 +295,7 @@ TEST(inference_api_native, image_classification_gpu) {
 #endif
 
 TEST(PassBuilder, Delete) {
-  contrib::AnalysisConfig config;
+  AnalysisConfig config;
   config.DisableGpu();
   config.pass_builder()->DeletePass("attention_lstm_fuse_pass");
   const auto& passes = config.pass_builder()->AllPasses();

paddle/fluid/inference/api/demo_ci/trt_mobilenet_demo.cc

@@ -36,7 +36,7 @@ namespace demo {
  */
 void Main() {
   std::unique_ptr<PaddlePredictor> predictor;
-  paddle::contrib::AnalysisConfig config;
+  paddle::AnalysisConfig config;
   config.EnableUseGpu(100, 0);
   config.SetModel(FLAGS_modeldir + "/__model__",
                   FLAGS_modeldir + "/__params__");

paddle/fluid/inference/api/demo_ci/vis_demo.cc

@@ -34,7 +34,6 @@ DEFINE_bool(use_gpu, false, "Whether use gpu.");
 namespace paddle {
 namespace demo {
 
-using contrib::AnalysisConfig;
 /*
  * Use the native and analysis fluid engine to inference the demo.
  */

paddle/fluid/inference/api/paddle_analysis_config.h

@@ -29,11 +29,6 @@
 namespace paddle {
 
 class AnalysisPredictor;
-// ==
-//
-// -----------------------------------------------------------------------------------
-// NOTE: The following APIs are not mature yet, we are still working on them.
-namespace contrib {
 
 // NOTE WIP, not stable yet.
 struct AnalysisConfig {
@@ -260,5 +255,4 @@ struct AnalysisConfig {
   mutable std::unique_ptr<PassStrategy> pass_builder_;
 };
 
-}  // namespace contrib
 }  // namespace paddle

paddle/fluid/inference/api/paddle_api.h

@@ -221,7 +221,7 @@ class PaddlePredictor {
   virtual std::string GetSeriazlizedProgram() const {
     assert(false);  // Force raise error.
     return "NotImplemented";
-  };
+  }
 
   /** The common configs for all the predictors.
    */

paddle/fluid/inference/tensorrt/trt_int8_calibrator.h

@@ -13,16 +13,16 @@
 // limitations under the License.
 
 #pragma once
+
+#include <NvInfer.h>
+#include <cuda_runtime_api.h>
 #include <atomic>
 #include <memory>
-#include <mutex>
+#include <mutex>  // NOLINT
 #include <string>
 #include <unordered_map>
 #include <utility>
 #include <vector>
-
-#include <NvInfer.h>
-#include <cuda_runtime_api.h>
 #include "paddle/fluid/framework/tensor.h"
 #include "paddle/fluid/inference/tensorrt/engine.h"
 #include "paddle/fluid/platform/place.h"

paddle/fluid/inference/tests/api/analyzer_dam_tester.cc

@@ -19,7 +19,6 @@ DEFINE_int32(max_turn_num, 9,
 
 namespace paddle {
 namespace inference {
-using contrib::AnalysisConfig;
 
 constexpr int32_t kMaxTurnLen = 50;
 
@@ -165,7 +164,7 @@ void PrepareInputs(std::vector<PaddleTensor> *input_slots, DataRecord *data,
   input_slots->push_back(std::move(response_mask_tensor));
 }
 
-void SetConfig(contrib::AnalysisConfig *cfg) {
+void SetConfig(AnalysisConfig *cfg) {
   cfg->SetModel(FLAGS_infer_model + "/__model__", FLAGS_infer_model + "/param");
   cfg->SwitchSpecifyInputNames();
   cfg->SwitchIrOptim(true);
@@ -187,7 +186,7 @@ void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
 
 // Easy for profiling independently.
 void profile(bool use_mkldnn = false) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   if (use_mkldnn) {
@@ -223,7 +222,7 @@ TEST(Analyzer_dam, profile_mkldnn) { profile(true /* use_mkldnn */); }
 
 // Check the fuse status
 TEST(Analyzer_dam, fuse_statis) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   int num_ops;
@@ -256,7 +255,7 @@ void compare(bool use_mkldnn = false) {
 TEST(Analyzer_dam, compare_with_static_memory_optim) {
   // The small dam will core in CI, but works in local.
   if (FLAGS_max_turn_num == 9) {
-    contrib::AnalysisConfig cfg, cfg1;
+    AnalysisConfig cfg, cfg1;
     DataRecord data(FLAGS_infer_data, FLAGS_batch_size);
 
     std::vector<std::vector<PaddleTensor>> input_slots_all;
@@ -282,7 +281,7 @@ TEST(Analyzer_dam, compare_with_static_memory_optim) {
 TEST(Analyzer_dam, compare_with_dynamic_memory_optim) {
   // The small dam will core in CI, but works in local.
   if (FLAGS_max_turn_num == 9) {
-    contrib::AnalysisConfig cfg, cfg1;
+    AnalysisConfig cfg, cfg1;
     DataRecord data(FLAGS_infer_data, FLAGS_batch_size);
 
     std::vector<std::vector<PaddleTensor>> input_slots_all;

paddle/fluid/inference/tests/api/analyzer_lac_tester.cc

@@ -18,8 +18,6 @@ namespace paddle {
 namespace inference {
 namespace analysis {
 
-using contrib::AnalysisConfig;
-
 struct DataRecord {
   std::vector<int64_t> data;
   std::vector<size_t> lod;

paddle/fluid/inference/tests/api/analyzer_mm_dnn_tester.cc

@@ -16,7 +16,6 @@
 
 namespace paddle {
 namespace inference {
-using contrib::AnalysisConfig;
 
 struct DataRecord {
   std::vector<std::vector<int64_t>> query, title;
@@ -75,7 +74,7 @@ void PrepareInputs(std::vector<PaddleTensor> *input_slots, DataRecord *data,
   }
 }
 
-void SetConfig(contrib::AnalysisConfig *cfg) {
+void SetConfig(AnalysisConfig *cfg) {
   cfg->SetModel(FLAGS_infer_model);
   cfg->DisableGpu();
   cfg->SwitchSpecifyInputNames();
@@ -95,7 +94,7 @@ void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
 
 // Easy for profiling independently.
 void profile(bool use_mkldnn = false) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
   std::vector<PaddleTensor> outputs;
 
@@ -130,7 +129,7 @@ TEST(Analyzer_MM_DNN, profile_mkldnn) { profile(true /* use_mkldnn */); }
 
 // Check the fuse status
 TEST(Analyzer_MM_DNN, fuse_statis) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   int num_ops;
@@ -141,7 +140,7 @@ TEST(Analyzer_MM_DNN, fuse_statis) {
 
 // Compare result of NativeConfig and AnalysisConfig
 void compare(bool use_mkldnn = false) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   if (use_mkldnn) {

paddle/fluid/inference/tests/api/analyzer_ner_tester.cc

@@ -16,7 +16,6 @@
 
 namespace paddle {
 namespace inference {
-using contrib::AnalysisConfig;
 
 struct DataRecord {
   std::vector<std::vector<int64_t>> word, mention;
@@ -76,7 +75,7 @@ void PrepareInputs(std::vector<PaddleTensor> *input_slots, DataRecord *data) {
   }
 }
 
-void SetConfig(contrib::AnalysisConfig *cfg, bool memory_load = false) {
+void SetConfig(AnalysisConfig *cfg, bool memory_load = false) {
   if (memory_load) {
     std::string buffer_prog, buffer_param;
     ReadBinaryFile(FLAGS_infer_model + "/__model__", &buffer_prog);
@@ -105,7 +104,7 @@ void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
 
 // Easy for profiling independently.
 void profile(bool memory_load = false) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg, memory_load);
   std::vector<PaddleTensor> outputs;
 
@@ -136,7 +135,7 @@ TEST(Analyzer_Chinese_ner, profile_memory_load) {
 
 // Check the fuse status
 TEST(Analyzer_Chinese_ner, fuse_statis) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   int num_ops;
@@ -152,7 +151,7 @@ TEST(Analyzer_Chinese_ner, fuse_statis) {
 
 // Compare result of NativeConfig and AnalysisConfig
 TEST(Analyzer_Chinese_ner, compare) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   std::vector<std::vector<PaddleTensor>> input_slots_all;

paddle/fluid/inference/tests/api/analyzer_pyramid_dnn_tester.cc

@@ -16,7 +16,6 @@
 
 namespace paddle {
 namespace inference {
-using contrib::AnalysisConfig;
 
 struct DataRecord {
   std::vector<std::vector<int64_t>> query_basic, query_phrase, title_basic,
@@ -103,7 +102,7 @@ void PrepareInputs(std::vector<PaddleTensor> *input_slots, DataRecord *data,
   }
 }
 
-void SetConfig(contrib::AnalysisConfig *cfg) {
+void SetConfig(AnalysisConfig *cfg) {
   cfg->SetModel(FLAGS_infer_model);
   cfg->DisableGpu();
   cfg->SwitchSpecifyInputNames();
@@ -123,7 +122,7 @@ void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
 
 // Easy for profiling independently.
 TEST(Analyzer_Pyramid_DNN, profile) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
   std::vector<PaddleTensor> outputs;
 
@@ -147,7 +146,7 @@ TEST(Analyzer_Pyramid_DNN, profile) {
 
 // Check the fuse status
 TEST(Analyzer_Pyramid_DNN, fuse_statis) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   int num_ops;
@@ -158,7 +157,7 @@ TEST(Analyzer_Pyramid_DNN, fuse_statis) {
 
 // Compare result of NativeConfig and AnalysisConfig
 TEST(Analyzer_Pyramid_DNN, compare) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   std::vector<std::vector<PaddleTensor>> input_slots_all;

paddle/fluid/inference/tests/api/analyzer_rnn1_tester.cc

@@ -223,7 +223,7 @@ void SetInput(std::vector<std::vector<PaddleTensor>> *inputs) {
 
 // Easy for profiling independently.
 TEST(Analyzer_rnn1, profile) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
   cfg.DisableGpu();
   cfg.SwitchIrDebug();
@@ -237,7 +237,7 @@ TEST(Analyzer_rnn1, profile) {
 
 // Check the fuse status
 TEST(Analyzer_rnn1, fuse_statis) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   int num_ops;
@@ -254,7 +254,7 @@ TEST(Analyzer_rnn1, fuse_statis) {
 
 // Compare result of NativeConfig and AnalysisConfig
 TEST(Analyzer_rnn1, compare) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
 
   std::vector<std::vector<PaddleTensor>> input_slots_all;
@@ -276,7 +276,7 @@ TEST(Analyzer_rnn1, compare_determine) {
 
 // Test Multi-Thread.
 TEST(Analyzer_rnn1, multi_thread) {
-  contrib::AnalysisConfig cfg;
+  AnalysisConfig cfg;
   SetConfig(&cfg);
   std::vector<PaddleTensor> outputs;
 

paddle/fluid/inference/tests/api/analyzer_vis_tester.cc

@@ -20,7 +20,6 @@ limitations under the License. */
 namespace paddle {
 namespace inference {
 namespace analysis {
-using contrib::AnalysisConfig;
 
 struct Record {
   std::vector<float> data;

paddle/fluid/inference/tests/api/config_printer.h

@@ -58,9 +58,8 @@ std::ostream &operator<<(std::ostream &os, const NativeConfig &config) {
   return os;
 }
 
-std::ostream &operator<<(std::ostream &os,
-                         const contrib::AnalysisConfig &config) {
-  os << GenSpaces(num_spaces) << "contrib::AnalysisConfig {\n";
+std::ostream &operator<<(std::ostream &os, const AnalysisConfig &config) {
+  os << GenSpaces(num_spaces) << "AnalysisConfig {\n";
   num_spaces++;
   os << config.ToNativeConfig();
   if (!config.model_from_memory()) {

paddle/fluid/inference/tests/api/tester_helper.h

@@ -65,7 +65,7 @@ float Random(float low, float high) {
 
 void PrintConfig(const PaddlePredictor::Config *config, bool use_analysis) {
   const auto *analysis_config =
-      reinterpret_cast<const contrib::AnalysisConfig *>(config);
+      reinterpret_cast<const AnalysisConfig *>(config);
   if (use_analysis) {
     LOG(INFO) << *analysis_config;
     return;
@@ -109,9 +109,9 @@ void CompareResult(const std::vector<PaddleTensor> &outputs,
 std::unique_ptr<PaddlePredictor> CreateTestPredictor(
     const PaddlePredictor::Config *config, bool use_analysis = true) {
   const auto *analysis_config =
-      reinterpret_cast<const contrib::AnalysisConfig *>(config);
+      reinterpret_cast<const AnalysisConfig *>(config);
   if (use_analysis) {
-    return CreatePaddlePredictor<contrib::AnalysisConfig>(*analysis_config);
+    return CreatePaddlePredictor<AnalysisConfig>(*analysis_config);
   }
   auto native_config = analysis_config->ToNativeConfig();
   return CreatePaddlePredictor<NativeConfig>(native_config);

paddle/fluid/inference/tests/api/trt_models_tester.cc

@@ -42,9 +42,9 @@ void SetConfig(ConfigType* config, std::string model_dir, bool use_gpu,
 }
 
 template <>
-void SetConfig<contrib::AnalysisConfig>(contrib::AnalysisConfig* config,
-                                        std::string model_dir, bool use_gpu,
-                                        bool use_tensorrt, int batch_size) {
+void SetConfig<AnalysisConfig>(AnalysisConfig* config, std::string model_dir,
+                               bool use_gpu, bool use_tensorrt,
+                               int batch_size) {
   if (!FLAGS_prog_filename.empty() && !FLAGS_param_filename.empty()) {
     config->SetModel(model_dir + "/" + FLAGS_prog_filename,
                      model_dir + "/" + FLAGS_param_filename);
@@ -75,10 +75,10 @@ void profile(std::string model_dir, bool use_analysis, bool use_tensorrt) {
 
   std::vector<PaddleTensor> outputs;
   if (use_analysis || use_tensorrt) {
-    contrib::AnalysisConfig config;
+    AnalysisConfig config;
     config.EnableUseGpu(100, 0);
     config.pass_builder()->TurnOnDebug();
-    SetConfig<contrib::AnalysisConfig>(&config, model_dir, true, use_tensorrt,
+    SetConfig<AnalysisConfig>(&config, model_dir, true, use_tensorrt,
                               FLAGS_batch_size);
     TestPrediction(reinterpret_cast<PaddlePredictor::Config*>(&config),
                    inputs_all, &outputs, FLAGS_num_threads, true);
@@ -99,18 +99,18 @@ void compare(std::string model_dir, bool use_tensorrt) {
     SetFakeImageInput(&inputs_all, model_dir, false, "__model__", "");
   }
 
-  contrib::AnalysisConfig analysis_config;
-  SetConfig<contrib::AnalysisConfig>(&analysis_config, model_dir, true,
-                                     use_tensorrt, FLAGS_batch_size);
+  AnalysisConfig analysis_config;
+  SetConfig<AnalysisConfig>(&analysis_config, model_dir, true, use_tensorrt,
+                            FLAGS_batch_size);
   CompareNativeAndAnalysis(
       reinterpret_cast<const PaddlePredictor::Config*>(&analysis_config),
       inputs_all);
 }
 
 void compare_continuous_input(std::string model_dir, bool use_tensorrt) {
-  contrib::AnalysisConfig analysis_config;
-  SetConfig<contrib::AnalysisConfig>(&analysis_config, model_dir, true,
-                                     use_tensorrt, FLAGS_batch_size);
+  AnalysisConfig analysis_config;
+  SetConfig<AnalysisConfig>(&analysis_config, model_dir, true, use_tensorrt,
+                            FLAGS_batch_size);
   auto config =
       reinterpret_cast<const PaddlePredictor::Config*>(&analysis_config);
   auto native_pred = CreateTestPredictor(config, false);

paddle/fluid/pybind/inference_api.cc

@@ -33,7 +33,6 @@ using paddle::PaddlePredictor;
 using paddle::NativeConfig;
 using paddle::NativePaddlePredictor;
 using paddle::AnalysisPredictor;
-using paddle::contrib::AnalysisConfig;
 
 static void BindPaddleDType(py::module *m);
 static void BindPaddleBuf(py::module *m);