[Paddle Inference]Support PaddlePaddle Backend on Triton (#49758)

* support PaddlePaddle Backend on Triton

* fix test cases

* fix Codestyle

* add test case

* add test case

paddle/fluid/inference/api/analysis_predictor.cc

@@ -1609,6 +1609,51 @@ std::vector<std::string> AnalysisPredictor::GetOutputNames() {
   return output_names;
 }
 
+std::map<std::string, std::vector<int64_t>>
+AnalysisPredictor::GetOutputTensorShape() {
+  std::map<std::string, std::vector<int64_t>> output_shapes;
+  std::vector<std::string> names = GetOutputNames();
+  for (std::string name : names) {
+    auto *var = inference_program_->Block(0).FindVar(name);
+    PADDLE_ENFORCE_NOT_NULL(var,
+                            platform::errors::PreconditionNotMet(
+                                "Output %s does not exist.", name));
+    output_shapes[name] = var->GetShape();
+  }
+  return output_shapes;
+}
+
+std::map<std::string, paddle_infer::DataType>
+AnalysisPredictor::GetOutputTypes() {
+  std::map<std::string, paddle_infer::DataType> output_type;
+  std::vector<std::string> names = GetOutputNames();
+  for (const auto &name : names) {
+    auto *var = inference_program_->Block(0).FindVar(name);
+    PADDLE_ENFORCE_NOT_NULL(
+        var,
+        platform::errors::PreconditionNotMet(
+            "Output %s does not exist inference_program_.", name));
+    auto dtype = var->GetDataType();
+    if (dtype == paddle::framework::proto::VarType::FP32) {
+      output_type[name] = paddle_infer::DataType::FLOAT32;
+    } else if (dtype == paddle::framework::proto::VarType::FP16) {
+      output_type[name] = paddle_infer::DataType::FLOAT16;
+    } else if (dtype == paddle::framework::proto::VarType::INT64) {
+      output_type[name] = paddle_infer::DataType::INT64;
+    } else if (dtype == paddle::framework::proto::VarType::INT32) {
+      output_type[name] = paddle_infer::DataType::INT32;
+    } else if (dtype == paddle::framework::proto::VarType::UINT8) {
+      output_type[name] = paddle_infer::DataType::UINT8;
+    } else if (dtype == paddle::framework::proto::VarType::INT8) {
+      output_type[name] = paddle_infer::DataType::INT8;
+    } else {
+      PADDLE_THROW(paddle::platform::errors::Unimplemented(
+          "Unsupported data type `%s` when get output dtype ", dtype));
+    }
+  }
+  return output_type;
+}
+
 std::unique_ptr<ZeroCopyTensor> AnalysisPredictor::GetInputTensor(
     const std::string &name) {
   framework::Scope *scope;
@@ -2477,6 +2522,10 @@ std::vector<std::string> Predictor::GetInputNames() {
   return predictor_->GetInputNames();
 }
 
+std::map<std::string, std::vector<int64_t>> Predictor::GetInputTensorShape() {
+  return predictor_->GetInputTensorShape();
+}
+
 std::map<std::string, DataType> Predictor::GetInputTypes() {
   return predictor_->GetInputTypes();
 }
@@ -2493,6 +2542,14 @@ std::unique_ptr<Tensor> Predictor::GetOutputHandle(const std::string &name) {
   return predictor_->GetOutputTensor(name);
 }
 
+std::map<std::string, std::vector<int64_t>> Predictor::GetOutputTensorShape() {
+  return predictor_->GetOutputTensorShape();
+}
+
+std::map<std::string, DataType> Predictor::GetOutputTypes() {
+  return predictor_->GetOutputTypes();
+}
+
 bool Predictor::Run() { return predictor_->ZeroCopyRun(); }
 
 std::unique_ptr<Predictor> Predictor::Clone(void *stream) {

paddle/fluid/inference/api/analysis_predictor.h

@@ -191,6 +191,18 @@ class AnalysisPredictor : public PaddlePredictor {
   /// \return the map of input names and type
   ///
   std::map<std::string, paddle_infer::DataType> GetInputTypes() override;
+  ///
+  /// \brief Get all output names and their corresponding shapes
+  ///
+  /// \return the map of output names and shapes
+  ///
+  std::map<std::string, std::vector<int64_t>> GetOutputTensorShape() override;
+  ///
+  /// \brief Get all output names and their corresponding type
+  ///
+  /// \return the map of output names and type
+  ///
+  std::map<std::string, paddle_infer::DataType> GetOutputTypes() override;
 
   ///
   /// \brief Run the prediction engine

paddle/fluid/inference/api/analysis_predictor_tester.cc

@@ -106,6 +106,8 @@ TEST(AnalysisPredictor, analysis_on) {
   ASSERT_EQ(predictor->scope_->parent(), nullptr);
   ASSERT_EQ(predictor->sub_scope_->parent(), predictor->scope_.get());
   ASSERT_EQ(predictor->GetInputTypes().size(), 4UL);
+  ASSERT_EQ(predictor->GetOutputTypes().size(), 1UL);
+  ASSERT_EQ(predictor->GetOutputTensorShape().size(), 1UL);
   // 2. Dummy Input Data
   int64_t data[4] = {1, 2, 3, 4};
   PaddleTensor tensor;
@@ -430,6 +432,8 @@ TEST(Predictor, Run) {
 
   auto predictor = CreatePredictor(config);
   ASSERT_EQ(predictor->GetInputTypes().size(), 4UL);
+  ASSERT_EQ(predictor->GetOutputTypes().size(), 1UL);
+  ASSERT_EQ(predictor->GetOutputTensorShape().size(), 1UL);
 
   auto w0 = predictor->GetInputHandle("firstw");
   auto w1 = predictor->GetInputHandle("secondw");

paddle/fluid/inference/api/paddle_api.h

@@ -243,6 +243,19 @@ class PD_INFER_DECL PaddlePredictor {
   /// \return Output tensor names.
   virtual std::vector<std::string> GetOutputNames() { return {}; }
 
+  /// \brief Get the output shape of the model.
+  /// \return A map contains all the output names and shape defined in the
+  /// model.
+  virtual std::map<std::string, std::vector<int64_t>> GetOutputTensorShape() {
+    return {};
+  }
+
+  /// \brief Get the output type of the model.
+  /// \return A map contains all the output names and type defined in the model.
+  virtual std::map<std::string, paddle_infer::DataType> GetOutputTypes() {
+    return {};
+  }
+
   /// \brief Get the input ZeroCopyTensor by name.
   /// Be inherited by AnalysisPredictor, Only used in ZeroCopy scenarios.
   /// The name is obtained from the GetInputNames() interface.

paddle/fluid/inference/api/paddle_inference_api.h

@@ -92,6 +92,13 @@ class PD_INFER_DECL Predictor {
   ///
   explicit Predictor(const Config& config);
 
+  ///
+  /// \brief Get all input names and their corresponding shapes
+  ///
+  /// \return the map of input names and shape
+  ///
+  std::map<std::string, std::vector<int64_t>> GetInputTensorShape();
+
   ///
   /// \brief Get all input names and their corresponding type
   ///
@@ -136,6 +143,20 @@ class PD_INFER_DECL Predictor {
   ///
   std::unique_ptr<Tensor> GetOutputHandle(const std::string& name);
 
+  ///
+  /// \brief Get all output names and their corresponding shapes
+  ///
+  /// \return the map of output names and shape
+  ///
+  std::map<std::string, std::vector<int64_t>> GetOutputTensorShape();
+
+  ///
+  /// \brief Get all output names and their corresponding type
+  ///
+  /// \return the map of output names and type
+  ///
+  std::map<std::string, DataType> GetOutputTypes();
+
   ///
   /// \brief Clone to get the new predictor. thread safe.
   ///

paddle/fluid/inference/capi_exp/pd_config.cc

@@ -55,8 +55,9 @@ __pd_give PD_Config* PD_ConfigCreate() {
 }
 
 void PD_ConfigDestroy(__pd_take PD_Config* pd_config) {
-  CHECK_AND_CONVERT_PD_CONFIG;
-  delete reinterpret_cast<Config*>(config);
+  if (pd_config != NULL) {
+    delete reinterpret_cast<Config*>(pd_config);
+  }
 }
 
 void PD_ConfigSetModel(__pd_keep PD_Config* pd_config,
@@ -116,9 +117,12 @@ PD_Bool PD_ConfigUseFcPadding(__pd_keep PD_Config* pd_config) {
 
 void PD_ConfigEnableUseGpu(__pd_keep PD_Config* pd_config,
                            uint64_t memory_pool_init_size_mb,
-                           int32_t device_id) {
+                           int32_t device_id,
+                           PD_PrecisionType precision_mode) {
   CHECK_AND_CONVERT_PD_CONFIG;
-  config->EnableUseGpu(memory_pool_init_size_mb, device_id);
+  config->EnableUseGpu(memory_pool_init_size_mb,
+                       device_id,
+                       ConvertToCxxPrecisionType(precision_mode));
 }
 void PD_ConfigDisableGpu(__pd_keep PD_Config* pd_config) {
   CHECK_AND_CONVERT_PD_CONFIG;
@@ -427,6 +431,14 @@ void PD_ConfigSetBfloat16Op(__pd_keep PD_Config* pd_config,
   }
   config->SetBfloat16Op(std::move(op_names));
 }
+void PD_ConfigEnableMkldnnInt8(__pd_keep PD_Config* pd_config) {
+  CHECK_AND_CONVERT_PD_CONFIG;
+  config->EnableMkldnnInt8();
+}
+PD_Bool PD_ConfigMkldnnInt8Enabled(__pd_keep PD_Config* pd_config) {
+  CHECK_AND_CONVERT_PD_CONFIG;
+  return config->mkldnn_int8_enabled();
+}
 PD_Bool PD_ConfigThreadLocalStreamEnabled(__pd_keep PD_Config* pd_config) {
   CHECK_AND_CONVERT_PD_CONFIG;
   return config->thread_local_stream_enabled();
@@ -484,6 +496,10 @@ void PD_ConfigEnableGpuMultiStream(__pd_keep PD_Config* pd_config) {
   CHECK_AND_CONVERT_PD_CONFIG;
   config->EnableGpuMultiStream();
 }
+void PD_ConfigSetExecStream(__pd_keep PD_Config* pd_config, void* stream) {
+  CHECK_AND_CONVERT_PD_CONFIG;
+  return config->SetExecStream(stream);
+}
 void PD_ConfigPartiallyRelease(__pd_keep PD_Config* pd_config) {
   CHECK_AND_CONVERT_PD_CONFIG;
   config->PartiallyRelease();

paddle/fluid/inference/capi_exp/pd_config.h

@@ -132,11 +132,13 @@ PADDLE_CAPI_EXPORT extern PD_Bool PD_ConfigUseFcPadding(
 /// \param[in] memory_pool_init_size_mb initial size of the GPU memory pool in
 /// MB.
 /// \param[in] device_id device_id the GPU card to use.
+/// \param[in] precision_mode the precision used in Paddle-GPU inference.
 ///
 PADDLE_CAPI_EXPORT extern void PD_ConfigEnableUseGpu(
     __pd_keep PD_Config* pd_config,
     uint64_t memory_pool_init_size_mb,
-    int32_t device_id);
+    int32_t device_id,
+    PD_PrecisionType precision_mode);
 ///
 /// \brief Turn off GPU.
 ///
@@ -607,6 +609,22 @@ PADDLE_CAPI_EXPORT extern PD_Bool PD_ConfigMkldnnBfloat16Enabled(
 PADDLE_CAPI_EXPORT extern void PD_ConfigSetBfloat16Op(
     __pd_keep PD_Config* pd_config, size_t ops_num, const char** op_list);
 ///
+/// \brief Turn on MKLDNN int8.
+///
+/// \param[in] pd_onfig config
+///
+PADDLE_CAPI_EXPORT extern void PD_ConfigEnableMkldnnInt8(
+    __pd_keep PD_Config* pd_config);
+///
+/// \brief A boolean state telling whether to use the MKLDNN int8.
+///
+/// \param[in] pd_onfig config
+/// \return Whether to use the MKLDNN int8.
+///
+PADDLE_CAPI_EXPORT extern PD_Bool PD_ConfigMkldnnInt8Enabled(
+    __pd_keep PD_Config* pd_config);
+
+///
 /// \brief Enable the GPU multi-computing stream feature.
 /// NOTE: The current behavior of this interface is to bind the computation
 /// stream to the thread, and this behavior may be changed in the future.
@@ -625,6 +643,12 @@ PADDLE_CAPI_EXPORT extern void PD_ConfigEnableGpuMultiStream(
 PADDLE_CAPI_EXPORT extern PD_Bool PD_ConfigThreadLocalStreamEnabled(
     __pd_keep PD_Config* pd_config);
 ///
+/// \brief Set execution stream. If not set a stream will be created
+/// internally.
+///
+PADDLE_CAPI_EXPORT extern void PD_ConfigSetExecStream(
+    __pd_keep PD_Config* pd_config, void* stream);
+///
 /// \brief Specify the memory buffer of program and parameter.
 /// Used when model and params are loaded directly from memory.
 ///

paddle/fluid/inference/capi_exp/pd_predictor.cc

@@ -15,6 +15,7 @@
 #include "paddle/fluid/inference/capi_exp/pd_predictor.h"
 
 #include "paddle/fluid/inference/api/paddle_inference_api.h"
+#include "paddle/fluid/inference/capi_exp/pd_config.h"
 #include "paddle/fluid/inference/capi_exp/pd_types.h"
 #include "paddle/fluid/inference/capi_exp/pd_utils.h"
 #include "paddle/fluid/inference/capi_exp/types_internal.h"
@@ -38,7 +39,6 @@ __pd_give PD_Predictor* PD_PredictorCreate(__pd_take PD_Config* pd_config) {
   paddle_infer::Config* config =
       reinterpret_cast<paddle_infer::Config*>(pd_config);
   pd_predictor->predictor = paddle_infer::CreatePredictor(*config);
-  delete config;
   return pd_predictor;
 }
 
@@ -57,6 +57,30 @@ __pd_give PD_OneDimArrayCstr* PD_PredictorGetInputNames(
   return paddle_infer::CvtVecToOneDimArrayCstr(names);
 }
 
+__pd_give PD_IOInfos* PD_PredictorGetInputInfos(
+    __pd_keep PD_Predictor* pd_predictor) {
+  CHECK_AND_CONVERT_PD_PREDICTOR;
+  std::vector<std::string> names = predictor->GetInputNames();
+  std::map<std::string, std::vector<int64_t>> input_shapes =
+      predictor->GetInputTensorShape();
+  std::map<std::string, paddle_infer::DataType> input_dtypes =
+      predictor->GetInputTypes();
+
+  PD_IOInfos* input_infos = new PD_IOInfos;
+  input_infos->size = names.size();
+  input_infos->io_info = names.empty() ? NULL : new PD_IOInfo*[names.size()];
+  for (size_t i = 0; i < names.size(); i++) {
+    const std::string& name = names[i];
+    input_infos->io_info[i] = new PD_IOInfo;
+    input_infos->io_info[i]->name = paddle_infer::CvtStrToCstr(name);
+    input_infos->io_info[i]->shape =
+        paddle_infer::CvtVecToOneDimArrayInt64(input_shapes[name]);
+    input_infos->io_info[i]->dtype =
+        paddle_infer::CvtFromCxxDatatype(input_dtypes[name]);
+  }
+  return input_infos;
+}
+
 __pd_give PD_OneDimArrayCstr* PD_PredictorGetOutputNames(
     __pd_keep PD_Predictor* pd_predictor) {
   CHECK_AND_CONVERT_PD_PREDICTOR;
@@ -64,6 +88,30 @@ __pd_give PD_OneDimArrayCstr* PD_PredictorGetOutputNames(
   return paddle_infer::CvtVecToOneDimArrayCstr(names);
 }
 
+__pd_give PD_IOInfos* PD_PredictorGetOutputInfos(
+    __pd_keep PD_Predictor* pd_predictor) {
+  CHECK_AND_CONVERT_PD_PREDICTOR;
+  std::vector<std::string> names = predictor->GetOutputNames();
+  std::map<std::string, std::vector<int64_t>> output_shapes =
+      predictor->GetOutputTensorShape();
+  std::map<std::string, paddle_infer::DataType> output_dtypes =
+      predictor->GetOutputTypes();
+
+  PD_IOInfos* output_infos = new PD_IOInfos;
+  output_infos->size = names.size();
+  output_infos->io_info = names.empty() ? NULL : new PD_IOInfo*[names.size()];
+  for (size_t i = 0; i < names.size(); i++) {
+    const std::string& name = names[i];
+    output_infos->io_info[i] = new PD_IOInfo;
+    output_infos->io_info[i]->name = paddle_infer::CvtStrToCstr(name);
+    output_infos->io_info[i]->shape =
+        paddle_infer::CvtVecToOneDimArrayInt64(output_shapes[name]);
+    output_infos->io_info[i]->dtype =
+        paddle_infer::CvtFromCxxDatatype(output_dtypes[name]);
+  }
+  return output_infos;
+}
+
 size_t PD_PredictorGetInputNum(__pd_keep PD_Predictor* pd_predictor) {
   CHECK_AND_CONVERT_PD_PREDICTOR;
   return predictor->GetInputNames().size();

paddle/fluid/inference/capi_exp/pd_predictor.h

@@ -30,6 +30,7 @@ typedef struct PD_Predictor PD_Predictor;
 typedef struct PD_Config PD_Config;
 typedef struct PD_Tensor PD_Tensor;
 typedef struct PD_OneDimArrayCstr PD_OneDimArrayCstr;
+typedef struct PD_IOInfos PD_IOInfos;
 
 #ifdef __cplusplus
 extern "C" {
@@ -60,6 +61,14 @@ PADDLE_CAPI_EXPORT extern __pd_give PD_Predictor* PD_PredictorClone(
 PADDLE_CAPI_EXPORT extern __pd_give PD_OneDimArrayCstr*
 PD_PredictorGetInputNames(__pd_keep PD_Predictor* pd_predictor);
 ///
+/// \brief Get the input infos(name/shape/dtype)
+///
+/// \param[in] pd_predictor predictor
+/// \return input infos(name/shape/dtype)
+///
+PADDLE_CAPI_EXPORT extern __pd_give PD_IOInfos* PD_PredictorGetInputInfos(
+    __pd_keep PD_Predictor* pd_predictor);
+///
 /// \brief Get the output names
 ///
 /// \param[in] pd_predictor predictor
@@ -67,7 +76,14 @@ PD_PredictorGetInputNames(__pd_keep PD_Predictor* pd_predictor);
 ///
 PADDLE_CAPI_EXPORT extern __pd_give PD_OneDimArrayCstr*
 PD_PredictorGetOutputNames(__pd_keep PD_Predictor* pd_predictor);
-
+///
+/// \brief Get the output infos(name/shape/dtype)
+///
+/// \param[in] pd_predictor predictor
+/// \return output infos(name/shape/dtype)
+///
+PADDLE_CAPI_EXPORT extern __pd_give PD_IOInfos* PD_PredictorGetOutputInfos(
+    __pd_keep PD_Predictor* pd_predictor);
 ///
 /// \brief Get the input number
 ///

paddle/fluid/inference/capi_exp/pd_types.h

@@ -29,6 +29,11 @@ typedef struct PD_OneDimArraySize {
   size_t* data;
 } PD_OneDimArraySize;  // std::vector<size_t>
 
+typedef struct PD_OneDimArrayInt64 {
+  size_t size;
+  int64_t* data;
+} PD_OneDimArrayInt64;  // std::vector<int64_t>
+
 typedef struct PD_OneDimArrayCstr {
   size_t size;
   char** data;
@@ -43,3 +48,14 @@ typedef struct PD_TwoDimArraySize {
   size_t size;
   PD_OneDimArraySize** data;
 } PD_TwoDimArraySize;  // std::vector<std::vector<size_t>>
+
+typedef struct PD_IOInfo {
+  PD_Cstr* name;
+  PD_OneDimArrayInt64* shape;
+  PD_DataType dtype;
+} PD_IOInfo;  // input or output info
+
+typedef struct PD_IOInfos {
+  size_t size;
+  PD_IOInfo** io_info;
+} PD_IOInfos;  // inputs or outputs info

paddle/fluid/inference/capi_exp/pd_utils.cc

@@ -11,12 +11,10 @@
 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 // See the License for the specific language governing permissions and
 // limitations under the License.
-
-#include "paddle/fluid/inference/capi_exp/pd_utils.h"
-
 #include <string>
 
 #include "paddle/fluid/inference/api/paddle_inference_api.h"
+#include "paddle/fluid/inference/capi_exp/pd_utils.h"
 #include "paddle/fluid/inference/capi_exp/utils_internal.h"
 #include "paddle/fluid/platform/enforce.h"
 
@@ -62,6 +60,7 @@
 
 ONE_DIM_ARRAY_UTILS_FUNC_IMPL(int32_t, Int32, int)
 ONE_DIM_ARRAY_UTILS_FUNC_IMPL(size_t, Size, size_t)
+ONE_DIM_ARRAY_UTILS_FUNC_IMPL(int64_t, Int64, int64_t)
 
 #undef ONE_DIM_ARRAY_UTILS_FUNC_IMPL
 #undef CONVERT_ONE_DIM_ARRAY_TO_VEC
@@ -178,6 +177,38 @@ TWO_DIM_ARRAY_UTILS_FUNC_IMPL(size_t, Size, size_t)
 #undef CONVERT_VEC_TO_TWO_DIM_ARRAY
 #undef DESTROY_TWO_DIM_ARRAY
 
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+void PD_IOInfoDestroy(__pd_take PD_IOInfo* io_info) {
+  if (io_info != NULL) {
+    PD_CstrDestroy(io_info->name);
+    io_info->name = NULL;
+    PD_OneDimArrayInt64Destroy(io_info->shape);
+    io_info->shape = NULL;
+    delete io_info;
+  }
+}
+
+void PD_IOInfosDestroy(__pd_take PD_IOInfos* io_infos) {
+  if (io_infos != NULL) {
+    if (io_infos->size != 0) {
+      for (size_t index = 0; index < io_infos->size; ++index) {
+        PD_IOInfoDestroy(io_infos->io_info[index]);
+      }
+      io_infos->size = 0;
+    }
+    delete[] io_infos->io_info;
+    io_infos->io_info = NULL;
+    delete io_infos;
+  }
+}
+
+#ifdef __cplusplus
+}  // extern "C"
+#endif
+
 namespace paddle_infer {
 
 PlaceType CvtToCxxPlaceType(PD_PlaceType place_type) {

paddle/fluid/inference/capi_exp/pd_utils.h

@@ -41,6 +41,14 @@ extern "C" {
 PADDLE_CAPI_EXPORT extern void PD_OneDimArrayInt32Destroy(
     __pd_take PD_OneDimArrayInt32* array);
 
+///
+/// \brief Destroy the PD_OneDimArrayInt64 object pointed to by the pointer.
+///
+/// \param[in] array pointer to the PD_OneDimArrayInt64 object.
+///
+PADDLE_CAPI_EXPORT extern void PD_OneDimArrayInt64Destroy(
+    __pd_take PD_OneDimArrayInt64* array);
+
 ///
 /// \brief Destroy the PD_OneDimArrayCstr object pointed to by the pointer.
 ///
@@ -74,6 +82,21 @@ PADDLE_CAPI_EXPORT extern void PD_TwoDimArraySizeDestroy(
 ///
 PADDLE_CAPI_EXPORT extern void PD_CstrDestroy(__pd_take PD_Cstr* cstr);
 
+///
+/// \brief Destroy the PD_IOInfo object pointed to by the pointer.
+///
+/// \param[in] cstr pointer to the PD_IOInfo object.
+///
+PADDLE_CAPI_EXPORT extern void PD_IOInfoDestroy(__pd_take PD_IOInfo* io_info);
+
+///
+/// \brief Destroy the PD_IOInfos object pointed to by the pointer.
+///
+/// \param[in] cstr pointer to the PD_IOInfos object.
+///
+PADDLE_CAPI_EXPORT extern void PD_IOInfosDestroy(
+    __pd_take PD_IOInfos* io_infos);
+
 #ifdef __cplusplus
 }  // extern "C"
 #endif

paddle/fluid/inference/capi_exp/utils_internal.h

@@ -44,6 +44,16 @@ namespace paddle_infer {
 __pd_give PD_OneDimArrayInt32* CvtVecToOneDimArrayInt32(
     const std::vector<int>& vec);
 
+///
+/// \brief Convert the 'std::vector<int64_t>' object to a 'PD_OneDimArrayInt64'
+/// object.
+///
+/// \param[in] vec source object.
+/// \return target object.
+///
+__pd_give PD_OneDimArrayInt64* CvtVecToOneDimArrayInt64(
+    const std::vector<int64_t>& vec);
+
 ///
 /// \brief Convert the 'PD_OneDimArrayInt32' object to a 'std::vector<int>'
 /// object.
@@ -54,6 +64,16 @@ __pd_give PD_OneDimArrayInt32* CvtVecToOneDimArrayInt32(
 std::vector<int> CvtOneDimArrayToVecInt32(
     __pd_keep const PD_OneDimArrayInt32* array);
 
+///
+/// \brief Convert the 'PD_OneDimArrayInt64' object to a 'std::vector<int64_t>'
+/// object.
+///
+/// \param[in] array source object.
+/// \return target object.
+///
+std::vector<int64_t> CvtOneDimArrayToVecInt64(
+    __pd_keep const PD_OneDimArrayInt64* array);
+
 ///
 /// \brief Convert the 'std::vector<size_t>' object to a 'PD_OneDimArraySize'
 /// object.

paddle/fluid/inference/experimental/javaapi/native/com_baidu_paddle_inference_Config.cpp

-// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include "com_baidu_paddle_inference_Config.h"
-
-#include <iostream>
-
-#include "jni_convert_util.h"  // NOLINT
-#include "pd_inference_api.h"  // NOLINT
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_cppConfigDestroy(
-    JNIEnv*, jobject, jlong cppPaddleConfigPointer) {
-  PD_ConfigDestroy(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-}
-
-// 1. create Config
-
-JNIEXPORT jlong JNICALL Java_com_baidu_paddle_inference_Config_createCppConfig(
-    JNIEnv* env, jobject obj) {
-  jlong cppPaddleConfigPointer = reinterpret_cast<jlong>(PD_ConfigCreate());
-  return cppPaddleConfigPointer;
-}
-
-JNIEXPORT jboolean JNICALL
-Java_com_baidu_paddle_inference_Config_isCppConfigValid(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag =
-      PD_ConfigIsValid(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-// 2. not combined model settings
-
-JNIEXPORT void JNICALL
-Java_com_baidu_paddle_inference_Config_setCppModel(JNIEnv* env,
-                                                   jobject obj,
-                                                   jlong cppPaddleConfigPointer,
-                                                   jstring modelFile,
-                                                   jstring paramsFile) {
-  PD_ConfigSetModel(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                    jstring_to_cpp_string(env, modelFile).c_str(),
-                    jstring_to_cpp_string(env, paramsFile).c_str());
-}
-
-// 3. combined model settings
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_setCppModelDir(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jstring modelDir) {
-  PD_ConfigSetModelDir(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                       jstring_to_cpp_string(env, modelDir).c_str());
-}
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_setCppProgFile(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jstring progFile) {
-  PD_ConfigSetProgFile(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                       jstring_to_cpp_string(env, progFile).c_str());
-}
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_setCppParamsFile(
-    JNIEnv* env,
-    jobject obj,
-    jlong cppPaddleConfigPointer,
-    jstring paramsFile) {
-  PD_ConfigSetParamsFile(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                         jstring_to_cpp_string(env, paramsFile).c_str());
-}
-
-JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_modelDir(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  return cpp_string_to_jstring(
-      env,
-      PD_ConfigGetModelDir(
-          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
-}
-
-JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_progFile(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  return cpp_string_to_jstring(
-      env,
-      PD_ConfigGetProgFile(
-          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
-}
-
-JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_paramsFile(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  return cpp_string_to_jstring(
-      env,
-      PD_ConfigGetParamsFile(
-          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
-}
-
-// 4. cpu settings
-
-JNIEXPORT void JNICALL
-Java_com_baidu_paddle_inference_Config_setCpuMathLibraryNumThreads(
-    JNIEnv* env,
-    jobject obj,
-    jlong cppPaddleConfigPointer,
-    jint mathThreadsNum) {
-  int math_threads_num = reinterpret_cast<int>(mathThreadsNum);
-  PD_ConfigSetCpuMathLibraryNumThreads(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer), math_threads_num);
-}
-
-JNIEXPORT jint JNICALL
-Java_com_baidu_paddle_inference_Config_cpuMathLibraryNumThreads(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  jint mathThreadsNum =
-      reinterpret_cast<jint>(PD_ConfigGetCpuMathLibraryNumThreads(
-          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
-  return mathThreadsNum;
-}
-
-// 5. MKLDNN settings
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableMKLDNN(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  PD_ConfigEnableMKLDNN(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-}
-
-JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_inference_Config_mkldnnEnabled(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag = PD_ConfigMkldnnEnabled(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-JNIEXPORT void JNICALL
-Java_com_baidu_paddle_inference_Config_enableMkldnnBfloat16(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  PD_ConfigEnableMkldnnBfloat16(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-}
-
-JNIEXPORT jboolean JNICALL
-Java_com_baidu_paddle_inference_Config_mkldnnBfloat16Enabled(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag = PD_ConfigMkldnnBfloat16Enabled(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-// 6. gpu setting
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableUseGpu(
-    JNIEnv* env,
-    jobject obj,
-    jlong cppPaddleConfigPointer,
-    jlong memorySize,
-    jint deviceId) {
-  PD_ConfigEnableUseGpu(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                        (uint64_t)memorySize,
-                        (int32_t)deviceId);
-}
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_disableGpu(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  PD_ConfigDisableGpu(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-}
-
-JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_inference_Config_useGpu(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag =
-      PD_ConfigUseGpu(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-JNIEXPORT jint JNICALL Java_com_baidu_paddle_inference_Config_gpuDeviceId(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  int device_id = PD_ConfigGpuDeviceId(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return reinterpret_cast<jint>(device_id);
-}
-
-JNIEXPORT jint JNICALL
-Java_com_baidu_paddle_inference_Config_memoryPoolInitSizeMb(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  int memory_pool_init_size_mb = PD_ConfigMemoryPoolInitSizeMb(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return reinterpret_cast<jint>(memory_pool_init_size_mb);
-}
-
-JNIEXPORT jfloat JNICALL
-Java_com_baidu_paddle_inference_Config_fractionOfGpuMemoryForPool(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  float fraction_of_gpuMemory_for_pool = PD_ConfigFractionOfGpuMemoryForPool(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return (jfloat)fraction_of_gpuMemory_for_pool;
-}
-
-// 7. TensorRT To Do
-
-// 8. optim setting
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_switchIrOptim(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jboolean flag) {
-  PD_ConfigSwitchIrOptim(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                         jboolean_to_cpp_bool(env, flag));
-}
-
-JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_inference_Config_irOptim(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag =
-      PD_ConfigIrOptim(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_switchIrDebug(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jboolean flag) {
-  PD_ConfigSwitchIrDebug(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-                         jboolean_to_cpp_bool(env, flag));
-}
-
-// 9. enable memory optimization
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableMemoryOptim(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jboolean flag) {
-  PD_ConfigEnableMemoryOptim(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
-      jboolean_to_cpp_bool(env, flag));
-}
-
-JNIEXPORT jboolean JNICALL
-Java_com_baidu_paddle_inference_Config_memoryOptimEnabled(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag = PD_ConfigMemoryOptimEnabled(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-// 10. profile setting
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableProfile(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  PD_ConfigEnableProfile(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-}
-
-JNIEXPORT jboolean JNICALL
-Java_com_baidu_paddle_inference_Config_profileEnabled(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  bool flag = PD_ConfigProfileEnabled(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-  return cpp_bool_to_jboolean(env, flag);
-}
-
-// 11. log setting
-
-JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_disableGlogInfo(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  PD_ConfigDisableGlogInfo(
-      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
-}
-
-// 12. view config configuration
-
-JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_summary(
-    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
-  return cpp_string_to_jstring(
-      env,
-      PD_ConfigSummary(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
-}
+// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "com_baidu_paddle_inference_Config.h"
+
+#include <iostream>
+
+#include "jni_convert_util.h"  // NOLINT
+#include "pd_inference_api.h"  // NOLINT
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_cppConfigDestroy(
+    JNIEnv*, jobject, jlong cppPaddleConfigPointer) {
+  PD_ConfigDestroy(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+}
+
+// 1. create Config
+
+JNIEXPORT jlong JNICALL Java_com_baidu_paddle_inference_Config_createCppConfig(
+    JNIEnv* env, jobject obj) {
+  jlong cppPaddleConfigPointer = reinterpret_cast<jlong>(PD_ConfigCreate());
+  return cppPaddleConfigPointer;
+}
+
+JNIEXPORT jboolean JNICALL
+Java_com_baidu_paddle_inference_Config_isCppConfigValid(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag =
+      PD_ConfigIsValid(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+// 2. not combined model settings
+
+JNIEXPORT void JNICALL
+Java_com_baidu_paddle_inference_Config_setCppModel(JNIEnv* env,
+                                                   jobject obj,
+                                                   jlong cppPaddleConfigPointer,
+                                                   jstring modelFile,
+                                                   jstring paramsFile) {
+  PD_ConfigSetModel(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                    jstring_to_cpp_string(env, modelFile).c_str(),
+                    jstring_to_cpp_string(env, paramsFile).c_str());
+}
+
+// 3. combined model settings
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_setCppModelDir(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jstring modelDir) {
+  PD_ConfigSetModelDir(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                       jstring_to_cpp_string(env, modelDir).c_str());
+}
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_setCppProgFile(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jstring progFile) {
+  PD_ConfigSetProgFile(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                       jstring_to_cpp_string(env, progFile).c_str());
+}
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_setCppParamsFile(
+    JNIEnv* env,
+    jobject obj,
+    jlong cppPaddleConfigPointer,
+    jstring paramsFile) {
+  PD_ConfigSetParamsFile(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                         jstring_to_cpp_string(env, paramsFile).c_str());
+}
+
+JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_modelDir(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  return cpp_string_to_jstring(
+      env,
+      PD_ConfigGetModelDir(
+          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
+}
+
+JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_progFile(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  return cpp_string_to_jstring(
+      env,
+      PD_ConfigGetProgFile(
+          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
+}
+
+JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_paramsFile(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  return cpp_string_to_jstring(
+      env,
+      PD_ConfigGetParamsFile(
+          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
+}
+
+// 4. cpu settings
+
+JNIEXPORT void JNICALL
+Java_com_baidu_paddle_inference_Config_setCpuMathLibraryNumThreads(
+    JNIEnv* env,
+    jobject obj,
+    jlong cppPaddleConfigPointer,
+    jint mathThreadsNum) {
+  int math_threads_num = reinterpret_cast<int>(mathThreadsNum);
+  PD_ConfigSetCpuMathLibraryNumThreads(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer), math_threads_num);
+}
+
+JNIEXPORT jint JNICALL
+Java_com_baidu_paddle_inference_Config_cpuMathLibraryNumThreads(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  jint mathThreadsNum =
+      reinterpret_cast<jint>(PD_ConfigGetCpuMathLibraryNumThreads(
+          reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
+  return mathThreadsNum;
+}
+
+// 5. MKLDNN settings
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableMKLDNN(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  PD_ConfigEnableMKLDNN(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+}
+
+JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_inference_Config_mkldnnEnabled(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag = PD_ConfigMkldnnEnabled(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+JNIEXPORT void JNICALL
+Java_com_baidu_paddle_inference_Config_enableMkldnnBfloat16(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  PD_ConfigEnableMkldnnBfloat16(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+}
+
+JNIEXPORT jboolean JNICALL
+Java_com_baidu_paddle_inference_Config_mkldnnBfloat16Enabled(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag = PD_ConfigMkldnnBfloat16Enabled(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+// 6. gpu setting
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableUseGpu(
+    JNIEnv* env,
+    jobject obj,
+    jlong cppPaddleConfigPointer,
+    jlong memorySize,
+    jint deviceId) {
+  PD_ConfigEnableUseGpu(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                        (uint64_t)memorySize,
+                        (int32_t)deviceId,
+                        0);
+}
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_disableGpu(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  PD_ConfigDisableGpu(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+}
+
+JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_inference_Config_useGpu(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag =
+      PD_ConfigUseGpu(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+JNIEXPORT jint JNICALL Java_com_baidu_paddle_inference_Config_gpuDeviceId(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  int device_id = PD_ConfigGpuDeviceId(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return reinterpret_cast<jint>(device_id);
+}
+
+JNIEXPORT jint JNICALL
+Java_com_baidu_paddle_inference_Config_memoryPoolInitSizeMb(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  int memory_pool_init_size_mb = PD_ConfigMemoryPoolInitSizeMb(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return reinterpret_cast<jint>(memory_pool_init_size_mb);
+}
+
+JNIEXPORT jfloat JNICALL
+Java_com_baidu_paddle_inference_Config_fractionOfGpuMemoryForPool(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  float fraction_of_gpuMemory_for_pool = PD_ConfigFractionOfGpuMemoryForPool(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return (jfloat)fraction_of_gpuMemory_for_pool;
+}
+
+// 7. TensorRT To Do
+
+// 8. optim setting
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_switchIrOptim(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jboolean flag) {
+  PD_ConfigSwitchIrOptim(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                         jboolean_to_cpp_bool(env, flag));
+}
+
+JNIEXPORT jboolean JNICALL Java_com_baidu_paddle_inference_Config_irOptim(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag =
+      PD_ConfigIrOptim(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_switchIrDebug(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jboolean flag) {
+  PD_ConfigSwitchIrDebug(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+                         jboolean_to_cpp_bool(env, flag));
+}
+
+// 9. enable memory optimization
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableMemoryOptim(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer, jboolean flag) {
+  PD_ConfigEnableMemoryOptim(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer),
+      jboolean_to_cpp_bool(env, flag));
+}
+
+JNIEXPORT jboolean JNICALL
+Java_com_baidu_paddle_inference_Config_memoryOptimEnabled(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag = PD_ConfigMemoryOptimEnabled(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+// 10. profile setting
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_enableProfile(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  PD_ConfigEnableProfile(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+}
+
+JNIEXPORT jboolean JNICALL
+Java_com_baidu_paddle_inference_Config_profileEnabled(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  bool flag = PD_ConfigProfileEnabled(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+  return cpp_bool_to_jboolean(env, flag);
+}
+
+// 11. log setting
+
+JNIEXPORT void JNICALL Java_com_baidu_paddle_inference_Config_disableGlogInfo(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  PD_ConfigDisableGlogInfo(
+      reinterpret_cast<PD_Config*>(cppPaddleConfigPointer));
+}
+
+// 12. view config configuration
+
+JNIEXPORT jstring JNICALL Java_com_baidu_paddle_inference_Config_summary(
+    JNIEnv* env, jobject obj, jlong cppPaddleConfigPointer) {
+  return cpp_string_to_jstring(
+      env,
+      PD_ConfigSummary(reinterpret_cast<PD_Config*>(cppPaddleConfigPointer)));
+}

paddle/fluid/inference/goapi/config.go

@@ -157,7 +157,7 @@ func (config *Config) UseFcPadding() bool {
 /// \param deviceId the GPU card to use.
 ///
 func (config *Config) EnableUseGpu(memorySize uint64, deviceId int32) {
-	C.PD_ConfigEnableUseGpu(config.c, C.uint64_t(memorySize), C.int32_t(deviceId))
+	C.PD_ConfigEnableUseGpu(config.c, C.uint64_t(memorySize), C.int32_t(deviceId), 0)
 }
 
 ///

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

@@ -19,6 +19,10 @@ limitations under the License. */
 #include <string>
 #include <vector>
 
+#if defined(PADDLE_WITH_CUDA)
+#include <cuda_runtime.h>
+#endif
+
 #include "paddle/fluid/inference/capi_exp/pd_inference_api.h"
 #include "paddle/fluid/inference/tests/api/tester_helper.h"
 
@@ -37,7 +41,7 @@ TEST(PD_Config, gpu_interface) {
   PD_ConfigSetModel(config, prog_file.c_str(), param_file.c_str());
   PD_ConfigSetOptimCacheDir(config, opt_cache_dir.c_str());
 
-  PD_ConfigEnableUseGpu(config, 100, 0);
+  PD_ConfigEnableUseGpu(config, 100, 0, 0);
   bool use_gpu = PD_ConfigUseGpu(config);
   EXPECT_TRUE(use_gpu);
   int init_size = PD_ConfigMemoryPoolInitSizeMb(config);
@@ -84,6 +88,14 @@ TEST(PD_Config, gpu_interface) {
   bool thread_local_thread = PD_ConfigThreadLocalStreamEnabled(config);
   EXPECT_TRUE(thread_local_thread);
 
+#if defined(PADDLE_WITH_CUDA)
+  {
+    cudaStream_t external_stream;
+    cudaStreamCreate(&external_stream);
+    PD_ConfigSetExecStream(config, external_stream);
+  }
+#endif
+
   PD_ConfigDisableGpu(config);
   PD_ConfigDestroy(config);
 }
@@ -104,7 +116,7 @@ TEST(PD_Config, use_gpu) {
   const char* model_dir_ = PD_ConfigGetModelDir(config);
   LOG(INFO) << model_dir_;
 
-  PD_ConfigEnableUseGpu(config, 100, 0);
+  PD_ConfigEnableUseGpu(config, 100, 0, 0);
   bool use_gpu = PD_ConfigUseGpu(config);
   EXPECT_TRUE(use_gpu);
   int device_id = PD_ConfigGpuDeviceId(config);
@@ -142,7 +154,7 @@ TEST(PD_Config, use_gpu) {
 TEST(PD_Config, trt_int8) {
   std::string model_dir = FLAGS_infer_model + "/mobilenet";
   PD_Config* config = PD_ConfigCreate();
-  PD_ConfigEnableUseGpu(config, 100, 0);
+  PD_ConfigEnableUseGpu(config, 100, 0, 0);
   PD_ConfigEnableTensorRtEngine(
       config, 1 << 20, 1, 3, PD_PRECISION_INT8, FALSE, TRUE);
   bool trt_enable = PD_ConfigTensorRtEngineEnabled(config);
@@ -153,7 +165,7 @@ TEST(PD_Config, trt_int8) {
 TEST(PD_Config, trt_fp16) {
   std::string model_dir = FLAGS_infer_model + "/mobilenet";
   PD_Config* config = PD_ConfigCreate();
-  PD_ConfigEnableUseGpu(config, 100, 0);
+  PD_ConfigEnableUseGpu(config, 100, 0, 0);
   PD_ConfigEnableTensorRtEngine(
       config, 1 << 20, 1, 3, PD_PRECISION_HALF, FALSE, FALSE);
   bool trt_enable = PD_ConfigTensorRtEngineEnabled(config);

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

@@ -37,6 +37,9 @@ void predictor_run() {
   PD_OneDimArrayCstr* input_names = PD_PredictorGetInputNames(predictor);
   LOG(INFO) << "The inputs' size is: " << input_names->size;
   EXPECT_EQ(input_names->size, 2u);
+  PD_IOInfos* in_infos = PD_PredictorGetInputInfos(predictor);
+  EXPECT_EQ(in_infos->size, 2u);
+  PD_IOInfos* out_infos = PD_PredictorGetOutputInfos(predictor);
 
   int32_t shape_0[4] = {1, 3, 224, 224};
   float data_0[1 * 3 * 224 * 224] = {0};
@@ -79,6 +82,8 @@ void predictor_run() {
   PD_TensorDestroy(input_1);
   PD_TensorDestroy(input_0);
   PD_OneDimArrayCstrDestroy(input_names);
+  PD_IOInfosDestroy(in_infos);
+  PD_IOInfosDestroy(out_infos);
   PD_PredictorDestroy(predictor);
 }
 

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

@@ -85,6 +85,10 @@ TEST(PD_Config, interface) {
 
   PD_ConfigEnableMkldnnBfloat16(config);
   PD_ConfigSetBfloat16Op(config, 1, &ops_name);
+
+  PD_ConfigEnableMkldnnInt8(config);
+  bool mkldnn_int8_enabled = PD_ConfigMkldnnInt8Enabled(config);
+  EXPECT_TRUE(mkldnn_int8_enabled);
 #endif
 
   PD_ConfigEnableONNXRuntime(config);