sync from compiling code in code platform

core/configure/proto/server_configure.proto

@@ -58,6 +58,8 @@ message ResourceConf {
   optional string cube_config_path = 5;
   optional string cube_config_file = 6;
   optional int32 cube_quant_bits = 7; // set 0 if no quant.
+  optional string auth_product_name = 8;
+  optional string auth_container_id = 9;
 };
 
 // DAG node depency info

core/cube/cube-api/include/meta.h

@@ -22,7 +22,8 @@
 #ifdef BCLOUD
 #include "baidu/rpc/channel.h"
 #include "baidu/rpc/parallel_channel.h"
-#include "rapidjson/document.h"
+#include "rapidjson_1.0/document.h"
+#include "rapidjson_1.0/rapidjson.h"
 #else
 #include "brpc/channel.h"
 #include "brpc/parallel_channel.h"

core/general-client/src/general_model.cpp

@@ -39,7 +39,9 @@ using configure::GeneralModelConfig;
 
 void PredictorClient::init_gflags(std::vector<std::string> argv) {
   std::call_once(gflags_init_flag, [&]() {
+#ifndef BCLOUD
     FLAGS_logtostderr = true;
+#endif
     argv.insert(argv.begin(), "dummy");
     int argc = argv.size();
     char **arr = new char *[argv.size()];

core/general-server/op/general_copy_op.h

@@ -13,20 +13,12 @@
 // limitations under the License.
 
 #pragma once
-#include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include <string>
+#include <vector>
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
 #include "core/predictor/framework/resource.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_dist_kv_infer_op.h

@@ -15,17 +15,9 @@
 #pragma once
 #include <string>
 #include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_dist_kv_quant_infer_op.h

@@ -15,17 +15,9 @@
 #pragma once
 #include <string>
 #include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_infer_helper.h

@@ -15,17 +15,9 @@
 #pragma once
 
 #include <string.h>
+#include <string>
 #include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
 #include "paddle_inference_api.h"  // NOLINT
-#endif
-#include <string>
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_infer_op.cpp

@@ -57,10 +57,10 @@ int GeneralInferOp::inference() {
 
   const TensorVector *in = &input_blob->tensor_vector;
   TensorVector *out = &output_blob->tensor_vector;
-  int batch_size = input_blob->GetBatchSize();
+  int batch_size = input_blob->_batch_size;
   VLOG(2) << "input batch size: " << batch_size;
 
-  output_blob->SetBatchSize(batch_size);
+  output_blob->_batch_size = batch_size;
 
   VLOG(2) << "infer batch size: " << batch_size;
 

core/general-server/op/general_infer_op.h

@@ -15,17 +15,9 @@
 #pragma once
 #include <string>
 #include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_reader_op.cpp

@@ -72,7 +72,9 @@ int conf_check(const Request *req,
 int GeneralReaderOp::inference() {
   // reade request from client
   const Request *req = dynamic_cast<const Request *>(get_request_message());
-
+  VLOG(2) << "start to call load general model_conf op";
+  baidu::paddle_serving::predictor::Resource &resource =
+      baidu::paddle_serving::predictor::Resource::instance();
   int batch_size = req->insts_size();
   int input_var_num = 0;
   std::vector<int64_t> elem_type;
@@ -82,8 +84,6 @@ int GeneralReaderOp::inference() {
   GeneralBlob *res = mutable_data<GeneralBlob>();
   TensorVector *out = &res->tensor_vector;
 
-  res->SetBatchSize(batch_size);
-
   if (!res) {
     LOG(ERROR) << "Failed get op tls reader object output";
   }
@@ -93,10 +93,6 @@ int GeneralReaderOp::inference() {
   int var_num = req->insts(0).tensor_array_size();
   VLOG(2) << "var num: " << var_num;
 
-  VLOG(2) << "start to call load general model_conf op";
-  baidu::paddle_serving::predictor::Resource &resource =
-      baidu::paddle_serving::predictor::Resource::instance();
-
   VLOG(2) << "get resource pointer done.";
   std::shared_ptr<PaddleGeneralModelConfig> model_config =
       resource.get_general_model_config();
@@ -257,6 +253,7 @@ int GeneralReaderOp::inference() {
   timeline.Pause();
   int64_t end = timeline.TimeStampUS();
   res->p_size = 0;
+  res->_batch_size = batch_size;
   AddBlobInfo(res, start);
   AddBlobInfo(res, end);
 

core/general-server/op/general_reader_op.h

@@ -13,21 +13,13 @@
 // limitations under the License.
 
 #pragma once
-#include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include <string>
+#include <vector>
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/load_general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
 #include "core/predictor/framework/resource.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_response_op.h

@@ -15,16 +15,8 @@
 #pragma once
 #include <string>
 #include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include "core/general-server/general_model_service.pb.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_text_reader_op.h

@@ -13,21 +13,13 @@
 // limitations under the License.
 
 #pragma once
-#include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include <string>
+#include <vector>
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/load_general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
 #include "core/predictor/framework/resource.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/general-server/op/general_text_response_op.h

@@ -15,17 +15,9 @@
 #pragma once
 #include <string>
 #include <vector>
-#ifdef BCLOUD
-#ifdef WITH_GPU
-#include "paddle/paddle_inference_api.h"
-#else
-#include "paddle/fluid/inference/api/paddle_inference_api.h"
-#endif
-#else
-#include "paddle_inference_api.h"  // NOLINT
-#endif
 #include "core/general-server/general_model_service.pb.h"
 #include "core/general-server/op/general_infer_helper.h"
+#include "paddle_inference_api.h"  // NOLINT
 
 namespace baidu {
 namespace paddle_serving {

core/predictor/common/inner_common.h

@@ -50,7 +50,7 @@
 #include "butil/time.h"
 #endif
 
-#include "glog/raw_logging.h"
+#define ERROR_STRING_LEN 10240
 
 #include "core/configure/general_model_config.pb.h"
 #include "core/configure/include/configure_parser.h"

core/predictor/framework/factory.h

@@ -17,7 +17,7 @@
 #include <string>
 #include <utility>
 #include "core/predictor/common/inner_common.h"
-#include "glog/raw_logging.h"
+
 namespace baidu {
 namespace paddle_serving {
 namespace predictor {
@@ -25,10 +25,13 @@ namespace predictor {
 //////////////// DECLARE INTERFACE ////////////////
 #define DECLARE_FACTORY_OBJECT(D, B)                                        \
   static int regist(const std::string& tag) {                               \
-    FactoryDerive<D, B>* factory = new (std::nothrow) FactoryDerive<D, B>(); \
+    FactoryDerive<D, B>* factory = new (std::nothrow) FactoryDerive<D, B>();\
     if (factory == NULL ||                                                  \
         FactoryPool<B>::instance().register_factory(tag, factory) != 0) {   \
-      RAW_LOG_FATAL("Failed regist factory: %s in macro!", #D);              \
+      char err_str[ERROR_STRING_LEN];                                       \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                               \
+        "Failed regist factory: %s in macro!", #D);                         \
+      RAW_LOG(FATAL, err_str);                                              \
       return -1;                                                            \
     }                                                                       \
     return 0;                                                               \
@@ -54,7 +57,10 @@ namespace predictor {
     if (factory == NULL ||                                                     \
         ::baidu::paddle_serving::predictor::FactoryPool<B>::instance()         \
                 .register_factory(#D, factory) != 0) {                         \
-      RAW_LOG_FATAL("Failed regist factory: %s->%s in macro!", #D, #B);        \
+      char err_str[ERROR_STRING_LEN];                                          \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                                  \
+        "Failed regist factory: %s->%s in macro!", #D, #B);                    \
+      RAW_LOG(FATAL, err_str);                                                 \
       return;                                                                  \
     }                                                                          \
     return;                                                                    \
@@ -66,15 +72,18 @@ namespace predictor {
     ::baidu::paddle_serving::predictor::FactoryDerive<D, B>* factory = new (   \
         ::std::nothrow)::baidu::paddle_serving::predictor::FactoryDerive<D,    \
                                                                          B>(); \
+    char err_str[ERROR_STRING_LEN];                                            \
     if (factory == NULL ||                                                     \
         ::baidu::paddle_serving::predictor::FactoryPool<B>::instance()         \
                 .register_factory(N, factory) != 0) {                          \
-      RAW_LOG_FATAL(                                                           \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                                  \
         "Failed regist factory: %s->%s, tag: %s in macro!", #D, #B, N);        \
+      RAW_LOG(FATAL, err_str);                                                 \
       return;                                                                  \
     }                                                                          \
-    RAW_LOG_WARNING(                                                           \
+    snprintf(err_str, ERROR_STRING_LEN - 1,                                    \
       "Succ regist factory: %s->%s, tag: %s in macro!", #D, #B, N);            \
+    RAW_LOG(WARNING, err_str);                                                 \
     return;                                                                    \
   }
 
@@ -102,24 +111,29 @@ class FactoryPool {
   }
 
   int register_factory(const std::string& tag, FactoryBase<B>* factory) {
+    char err_str[ERROR_STRING_LEN];
     typename std::map<std::string, FactoryBase<B>*>::iterator it =
         _pool.find(tag);
     if (it != _pool.end()) {
-      RAW_LOG_FATAL("Insert duplicate with tag: %s", tag.c_str());
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Insert duplicate with tag: %s", tag.c_str());
+      RAW_LOG(FATAL, err_str);
       return -1;
     }
 
     std::pair<typename std::map<std::string, FactoryBase<B>*>::iterator, bool>
         r = _pool.insert(std::make_pair(tag, factory));
     if (!r.second) {
-      RAW_LOG_FATAL("Failed insert new factory with: %s", tag.c_str());
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Failed insert new factory with: %s", tag.c_str());
+      RAW_LOG(FATAL, err_str);
       return -1;
     }
     
-    RAW_LOG_INFO("Succ insert one factory, tag: %s, base type %s",
-                 tag.c_str(),
+    snprintf(err_str, ERROR_STRING_LEN - 1, 
+      "Succ insert one factory, tag: %s, base type %s", tag.c_str(), 
                                                         typeid(B).name());
-
+    RAW_LOG(INFO, err_str);
     return 0;
   }
 
@@ -127,9 +141,11 @@ class FactoryPool {
     typename std::map<std::string, FactoryBase<B>*>::iterator it =
         _pool.find(tag);
     if (it == _pool.end() || it->second == NULL) {
-      RAW_LOG_FATAL("Not found factory pool, tag: %s, pool size %u",
-                    tag.c_str(),
+      char err_str[ERROR_STRING_LEN];
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Not found factory pool, tag: %s, pool size %u", tag.c_str(),
                                                          _pool.size());
+      RAW_LOG(FATAL, err_str);
       return NULL;
     }
 

core/predictor/framework/infer.h

@@ -603,6 +603,7 @@ class VersionedInferEngine : public InferEngine {
       LOG(ERROR) << "Failed generate engine with type:" << engine_type;
       return -1;
     }
+#ifndef BCLOUD
     VLOG(2) << "FLAGS_logtostderr " << FLAGS_logtostderr;
     int tmp = FLAGS_logtostderr;
     if (engine->proc_initialize(conf, version) != 0) {
@@ -611,6 +612,12 @@ class VersionedInferEngine : public InferEngine {
     }
     VLOG(2) << "FLAGS_logtostderr " << FLAGS_logtostderr;
     FLAGS_logtostderr = tmp;
+#else
+    if (engine->proc_initialize(conf, version) != 0) {
+      LOG(ERROR) << "Failed initialize engine, type:" << engine_type;
+      return -1;
+    }
+#endif
     auto r = _versions.insert(std::make_pair(engine->version(), engine));
     if (!r.second) {
       LOG(ERROR) << "Failed insert item: " << engine->version()

core/predictor/framework/op_repository.h

@@ -62,7 +62,10 @@ class OpRepository {
   template <typename OP_TYPE>
   void regist_op(std::string op_type) {
     _repository[op_type] = &OpFactory<OP_TYPE>::instance();
-    RAW_LOG_INFO("Succ regist op: %s", op_type.c_str());
+    char err_str[ERROR_STRING_LEN];
+    snprintf(err_str, ERROR_STRING_LEN - 1, "Succ regist op: %s", 
+      op_type.c_str());
+    RAW_LOG(INFO, err_str);
   }
 
   Op* get_op(std::string op_type);

core/predictor/framework/resource.cpp

@@ -17,6 +17,9 @@
 #include <string>
 #include "core/predictor/common/inner_common.h"
 #include "core/predictor/framework/kv_manager.h"
+#ifdef BCLOUD
+#include "aipe_sec_client.h"  // NOLINT
+#endif
 namespace baidu {
 namespace paddle_serving {
 namespace predictor {
@@ -109,6 +112,42 @@ int Resource::initialize(const std::string& path, const std::string& file) {
   }
   LOG(WARNING) << "Successfully proc initialized mempool wrapper";
 
+#ifdef WITH_AUTH
+  std::string product_name_str = resource_conf.auth_product_name();
+  std::string container_id_str = resource_conf.auth_container_id();
+
+  char* product_name = new char[product_name_str.size() + 1];
+  snprintf(product_name,
+           product_name_str.size() + 1,
+           "%s",
+           product_name_str.c_str());
+  char* container_id = new char[container_id_str.size() + 1];
+  snprintf(container_id,
+           container_id_str.size() + 1,
+           "%s",
+           container_id_str.c_str());
+
+  aipe_auth_request request;
+  request.product_name = product_name;
+  request.container_id = container_id;
+  request.request_ts = (int64_t)time(NULL);
+
+  LOG(INFO) << "\nEasypack info"
+            << "\nproduct name: " << request.product_name
+            << "\ncontainer_id: " << request.container_id
+            << "\nrequest time stamp: " << request.request_ts;
+
+  aipe_auth_response response;
+  response = check_auth(request);
+
+  if (response.result == 0) {
+    LOG(INFO) << "Authentication succeed.";
+  } else {
+    LOG(ERROR) << "Authentication failed. Error code: " << response.result;
+    return -1;
+  }
+#endif
+
   if (FLAGS_enable_model_toolkit) {
     int err = 0;
     std::string model_toolkit_path = resource_conf.model_toolkit_path();

core/predictor/framework/service_manager.h

@@ -23,17 +23,20 @@ namespace predictor {
 
 #define REGIST_FORMAT_SERVICE(svr_name, svr)                                    \
   do {                                                                          \
+    char err_str[ERROR_STRING_LEN];                                             \
     int ret =                                                                   \
         ::baidu::paddle_serving::predictor::FormatServiceManager::instance()    \
             .regist_service(svr_name, svr);                                     \
     if (ret != 0) {                                                             \
-      RAW_LOG_ERROR("Failed regist service[%s][%s]",                         \
+      snprintf(err_str, ERROR_STRING_LEN - 1, "Failed regist service[%s][%s]",  \
         svr_name.c_str(),                                                       \
         typeid(svr).name());                                                    \
+      RAW_LOG(ERROR, err_str);                                                  \
     } else {                                                                    \
-      RAW_LOG_INFO("Success regist service[%s][%s]",                         \
+      snprintf(err_str, ERROR_STRING_LEN - 1, "Success regist service[%s][%s]", \
         svr_name.c_str(),                                                       \
         typeid(svr).name());                                                    \
+      RAW_LOG(INFO, err_str);                                                   \
     }                                                                           \
   } while (0)
 
@@ -42,31 +45,38 @@ class FormatServiceManager {
   typedef google::protobuf::Service Service;
 
   int regist_service(const std::string& svr_name, Service* svr) {
+    char err_str[ERROR_STRING_LEN];
     if (_service_map.find(svr_name) != _service_map.end()) {
-      RAW_LOG_ERROR("Service[%s][%s] already exist!",
+      snprintf(err_str, ERROR_STRING_LEN - 1, "Service[%s][%s] already exist!",
         svr_name.c_str(),
         typeid(svr).name());
+      RAW_LOG(ERROR, err_str);
       return -1;
     }
 
     std::pair<boost::unordered_map<std::string, Service*>::iterator, bool> ret;
     ret = _service_map.insert(std::make_pair(svr_name, svr));
     if (ret.second == false) {
-      RAW_LOG_ERROR("Service[%s][%s] insert failed!",
+      snprintf(err_str, ERROR_STRING_LEN - 1, "Service[%s][%s] insert failed!",
         svr_name.c_str(),
         typeid(svr).name());
+      RAW_LOG(ERROR, err_str);
       return -1;
     }
 
-    RAW_LOG_INFO("Service[%s] insert successfully!", svr_name.c_str());
+    snprintf(err_str, ERROR_STRING_LEN - 1, "Service[%s] insert successfully!", 
+      svr_name.c_str());
+    RAW_LOG(INFO, err_str);
     return 0;
   }
 
   Service* get_service(const std::string& svr_name) {
+    char err_str[ERROR_STRING_LEN];
     boost::unordered_map<std::string, Service*>::iterator res;
     if ((res = _service_map.find(svr_name)) == _service_map.end()) {
-      RAW_LOG_WARNING("Service[%s] not found in service manager!",
-                      svr_name.c_str());
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Service[%s] not found in service manager!", svr_name.c_str());
+      RAW_LOG(WARNING, err_str);
       return NULL;
     }
     return (*res).second;

core/predictor/src/pdserving.cpp

@@ -202,8 +202,6 @@ int main(int argc, char** argv) {
   }
   VLOG(2) << "Succ call pthread worker start function";
 
-#ifndef BCLOUD
-
   if (Resource::instance().general_model_initialize(FLAGS_resource_path,
                                                     FLAGS_resource_file) != 0) {
     LOG(ERROR) << "Failed to initialize general model conf: "
@@ -213,6 +211,7 @@ int main(int argc, char** argv) {
 
   VLOG(2) << "Succ initialize general model";
 
+#ifndef BCLOUD
   // FATAL messages are output to stderr
   FLAGS_stderrthreshold = 3;
 #endif

core/sdk-cpp/include/abtest.h

@@ -50,9 +50,9 @@ class WeightedRandomRender : public EndpointRouterBase {
     Factory<WeightedRandomRender, EndpointRouterBase>* factory =
         new (std::nothrow) Factory<WeightedRandomRender, EndpointRouterBase>();
     if (factory == NULL) {
-      RAW_LOG_ERROR(
-          "Failed regist factory: WeightedRandomRender->EndpointRouterBase in "
-          "macro!");
+      RAW_LOG(ERROR, 
+          "Failed regist factory: WeightedRandomRender->EndpointRouterBase \
+          in macro!");
       return -1;
     }
 
@@ -62,9 +62,8 @@ class WeightedRandomRender : public EndpointRouterBase {
     // together.
     if (FactoryPool<EndpointRouterBase>::instance().register_factory(
             "WeightedRandomRender", factory) != 0) {
-      RAW_LOG_INFO(
-          "Factory has been registed: "
-          "WeightedRandomRender->EndpointRouterBase.");
+      RAW_LOG(INFO, "Factory has been registed: \
+              WeightedRandomRender->EndpointRouterBase.");
     }
 
     return 0;

core/sdk-cpp/include/factory.h

@@ -18,7 +18,6 @@
 #include <utility>
 #include "core/sdk-cpp/include/common.h"
 #include "core/sdk-cpp/include/stub_impl.h"
-#include "glog/raw_logging.h"
 
 namespace baidu {
 namespace paddle_serving {
@@ -28,12 +27,17 @@ namespace sdk_cpp {
 namespace brpc = baidu::rpc;
 #endif
 
+#define ERROR_STRING_LEN 10240
+
 #define INLINE_REGIST_OBJECT(D, B, E)                                   \
   do {                                                                  \
     Factory<D, B>* factory = new (std::nothrow) Factory<D, B>();        \
     if (factory == NULL ||                                              \
-        FactoryPool<B>::instance().register_factory(#D, factory) != 0) { \
-      RAW_LOG_ERROR("Failed regist factory: %s->%s in macro!", #D, #B);  \
+        FactoryPool<B>::instance().register_factory(#D, factory) != 0) {\
+      char err_str[ERROR_STRING_LEN];                                   \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                           \
+        "Failed regist factory: %s->%s in macro!", #D, #B);             \
+      RAW_LOG(ERROR, err_str);                                          \
       return E;                                                         \
     }                                                                   \
   } while (0)
@@ -43,7 +47,10 @@ namespace brpc = baidu::rpc;
     Factory<D, B>* factory = new (std::nothrow) Factory<D, B>();        \
     if (factory == NULL ||                                              \
       FactoryPool<B>::instance().register_factory(tag, factory) != 0) { \
-      RAW_LOG_ERROR("Failed regist factory: %s in macro!", #D);           \
+      char err_str[ERROR_STRING_LEN];                                   \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                           \
+        "Failed regist factory: %s in macro!", #D);                     \
+      RAW_LOG(ERROR, err_str);                                          \
       return -1;                                                        \
     }                                                                   \
     return 0;                                                           \
@@ -62,11 +69,14 @@ namespace brpc = baidu::rpc;
   __attribute__((constructor)) static void PDS_STR_CAT(GlobalRegistObject,  \
                                                        __LINE__)(void) {    \
     ::baidu::paddle_serving::sdk_cpp::Factory<D, B>* factory =              \
-        new (::std::nothrow)::baidu::paddle_serving::sdk_cpp::Factory<D, B>(); \
+      new (::std::nothrow)::baidu::paddle_serving::sdk_cpp::Factory<D, B>();\
     if (factory == NULL ||                                                  \
       ::baidu::paddle_serving::sdk_cpp::FactoryPool<B>::instance()          \
                 .register_factory(#D, factory) != 0) {                      \
-      RAW_LOG_ERROR("Failed regist factory: %s->%s in macro!", #D, #B);        \
+      char err_str[ERROR_STRING_LEN];                                       \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                               \
+        "Failed regist factory: %s->%s in macro!", #D, #B);                 \
+      RAW_LOG(ERROR, err_str);                                              \
       return;                                                               \
     }                                                                       \
     return;                                                                 \
@@ -76,12 +86,14 @@ namespace brpc = baidu::rpc;
   __attribute__((constructor)) static void PDS_STR_CAT(GlobalRegistObject,  \
                                                        __LINE__)(void) {    \
     ::baidu::paddle_serving::sdk_cpp::Factory<D, B>* factory =              \
-        new (::std::nothrow)::baidu::paddle_serving::sdk_cpp::Factory<D, B>(); \
+      new (::std::nothrow)::baidu::paddle_serving::sdk_cpp::Factory<D, B>();\
     if (factory == NULL ||                                                  \
       ::baidu::paddle_serving::sdk_cpp::FactoryPool<B>::instance()          \
             .register_factory(T, factory) != 0) {                           \
-      RAW_LOG_ERROR(                                                           \
+      char err_str[ERROR_STRING_LEN];                                       \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                               \
         "Failed regist factory: %s->%s, tag %s in macro!", #D, #B, T);      \
+      RAW_LOG(ERROR, err_str);                                              \
       return;                                                               \
     }                                                                       \
     return;                                                                 \
@@ -108,8 +120,10 @@ namespace brpc = baidu::rpc;
         ::baidu::paddle_serving::sdk_cpp::FactoryPool<                      \
             ::baidu::paddle_serving::sdk_cpp::Stub>::instance()             \
                 .register_factory(T, factory) != 0) {                       \
-      RAW_LOG_ERROR(                                                       \
+      char err_str[ERROR_STRING_LEN];                                       \
+      snprintf(err_str, ERROR_STRING_LEN - 1,                               \
         "Failed regist factory: %s->Stub, tag: %s in macro!", #D, T);       \
+      RAW_LOG(ERROR, err_str);                                              \
       return;                                                               \
     }                                                                       \
     return;                                                                 \
@@ -146,14 +160,20 @@ class FactoryPool {
     typename std::map<std::string, FactoryBase<B>*>::iterator it =
         _pool.find(tag);
     if (it != _pool.end()) {
-      RAW_LOG_ERROR("Insert duplicate with tag: %s", tag.c_str());
+      char err_str[ERROR_STRING_LEN];
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Insert duplicate with tag: %s", tag.c_str());
+      RAW_LOG(ERROR, err_str);
       return -1;
     }
 
     std::pair<typename std::map<std::string, FactoryBase<B>*>::iterator, bool>
         r = _pool.insert(std::make_pair(tag, factory));
     if (!r.second) {
-      RAW_LOG_ERROR("Failed insert new factory with: %s", tag.c_str());
+      char err_str[ERROR_STRING_LEN];
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Failed insert new factory with: %s", tag.c_str());
+      RAW_LOG(ERROR, err_str);
       return -1;
     }
 
@@ -164,9 +184,11 @@ class FactoryPool {
     typename std::map<std::string, FactoryBase<B>*>::iterator it =
         _pool.find(tag);
     if (it == _pool.end() || it->second == NULL) {
-      RAW_LOG_ERROR("Not found factory pool, tag: %s, pool size: %u",
-                    tag.c_str(),
-                    _pool.size());
+      char err_str[ERROR_STRING_LEN];
+      snprintf(err_str, ERROR_STRING_LEN - 1, 
+        "Not found factory pool, tag: %s, pool size: %u", 
+        tag.c_str(), _pool.size());
+      RAW_LOG(ERROR, err_str);
       return NULL;
     }
 

paddle_inference/inferencer-fluid-cpu/include/fluid_cpu_engine.h

@@ -23,6 +23,7 @@
 #include "core/configure/inferencer_configure.pb.h"
 #include "core/predictor/framework/infer.h"
 #include "paddle_inference_api.h"  // NOLINT
+//#include "predictor/framework/infer.h"
 
 namespace baidu {
 namespace paddle_serving {

python/paddle_serving_server/__init__.py

@@ -157,6 +157,8 @@ class Server(object):
         self.cur_path = os.getcwd()
         self.use_local_bin = False
         self.mkl_flag = False
+        self.product_name = None
+        self.container_id = None
         self.model_config_paths = None  # for multi-model in a workflow
 
     def set_max_concurrency(self, concurrency):
@@ -191,6 +193,16 @@ class Server(object):
     def set_ir_optimize(self, flag=False):
         self.ir_optimization = flag
 
+    def set_product_name(self, product_name=None):
+        if product_name == None:
+            raise ValueError("product_name can't be None.")
+        self.product_name = product_name
+
+    def set_container_id(self, container_id):
+        if container_id == None:
+            raise ValueError("container_id can't be None.")
+        self.container_id = container_id
+
     def check_local_bin(self):
         if "SERVING_BIN" in os.environ:
             self.use_local_bin = True
@@ -254,6 +266,10 @@ class Server(object):
             self.resource_conf.model_toolkit_file = self.model_toolkit_fn
             self.resource_conf.general_model_path = workdir
             self.resource_conf.general_model_file = self.general_model_config_fn
+            if self.product_name != None:
+                self.resource_conf.auth_product_name = self.product_name
+            if self.container_id != None:
+                self.resource_conf.auth_container_id = self.container_id
 
     def _write_pb_str(self, filepath, pb_obj):
         with open(filepath, "w") as fout:
@@ -540,7 +556,6 @@ class MultiLangServerServiceServicer(multi_lang_general_model_service_pb2_grpc.
         results, tag = ret
         resp.tag = tag
         resp.err_code = 0
-
         if not self.is_multi_model_:
             results = {'general_infer_0': results}
         for model_name, model_result in results.items():

python/paddle_serving_server/serve.py

@@ -58,6 +58,16 @@ def parse_args():  # pylint: disable=doc-string-missing
         default=False,
         action="store_true",
         help="Use Multi-language-service")
+    parser.add_argument(
+        "--product_name",
+        type=str,
+        default=None,
+        help="product_name for authentication")
+    parser.add_argument(
+        "--container_id",
+        type=str,
+        default=None,
+        help="container_id for authentication")
     return parser.parse_args()
 
 
@@ -101,6 +111,10 @@ def start_standard_model():  # pylint: disable=doc-string-missing
     server.use_mkl(use_mkl)
     server.set_max_body_size(max_body_size)
     server.set_port(port)
+    if args.product_name != None:
+        server.set_product_name(args.product_name)
+    if args.container_id != None:
+        server.set_container_id(args.container_id)
 
     server.load_model_config(model)
     server.prepare_server(workdir=workdir, port=port, device=device)

python/paddle_serving_server_gpu/__init__.py

@@ -73,6 +73,16 @@ def serve_args():
         default=False,
         action="store_true",
         help="Use Multi-language-service")
+    parser.add_argument(
+        "--product_name",
+        type=str,
+        default=None,
+        help="product_name for authentication")
+    parser.add_argument(
+        "--container_id",
+        type=str,
+        default=None,
+        help="container_id for authentication")
     return parser.parse_args()
 
 
@@ -196,6 +206,8 @@ class Server(object):
         self.use_local_bin = False
         self.gpuid = 0
         self.model_config_paths = None  # for multi-model in a workflow
+        self.product_name = None
+        self.container_id = None
 
     def set_max_concurrency(self, concurrency):
         self.max_concurrency = concurrency
@@ -229,6 +241,16 @@ class Server(object):
     def set_ir_optimize(self, flag=False):
         self.ir_optimization = flag
 
+    def set_product_name(self, product_name=None):
+        if product_name == None:
+            raise ValueError("product_name can't be None.")
+        self.product_name = product_name
+
+    def set_container_id(self, container_id):
+        if container_id == None:
+            raise ValueError("container_id can't be None.")
+        self.container_id = container_id
+
     def check_local_bin(self):
         if "SERVING_BIN" in os.environ:
             self.use_local_bin = True
@@ -302,6 +324,10 @@ class Server(object):
             self.resource_conf.model_toolkit_file = self.model_toolkit_fn
             self.resource_conf.general_model_path = workdir
             self.resource_conf.general_model_file = self.general_model_config_fn
+            if self.product_name != None:
+                self.resource_conf.auth_product_name = self.product_name
+            if self.container_id != None:
+                self.resource_conf.auth_container_id = self.container_id
 
     def _write_pb_str(self, filepath, pb_obj):
         with open(filepath, "w") as fout:

python/paddle_serving_server_gpu/serve.py

@@ -34,7 +34,7 @@ def start_gpu_card_model(index, gpuid, args):  # pylint: disable=doc-string-miss
         port = args.port + index
     thread_num = args.thread
     model = args.model
-    mem_optim = args.mem_optim_off is False
+    mem_optim = args.mem_optim_off
     ir_optim = args.ir_optim
     max_body_size = args.max_body_size
     use_multilang = args.use_multilang
@@ -65,6 +65,11 @@ def start_gpu_card_model(index, gpuid, args):  # pylint: disable=doc-string-miss
     server.set_ir_optimize(ir_optim)
     server.set_max_body_size(max_body_size)
 
+    if args.product_name != None:
+        server.set_product_name(args.product_name)
+    if args.container_id != None:
+        server.set_container_id(args.container_id)
+
     server.load_model_config(model)
     server.prepare_server(workdir=workdir, port=port, device=device)
     if gpuid >= 0: