add incubate for unified API

paddle/fluid/framework/fleet/fleet_wrapper.cc

@@ -38,9 +38,8 @@ std::shared_ptr<FleetWrapper> FleetWrapper::s_instance_ = NULL;
 bool FleetWrapper::is_initialized_ = false;
 
 #ifdef PADDLE_WITH_PSLIB
-template<class AR>
-paddle::ps::Archive<AR>& operator << (
-    paddle::ps::Archive<AR>& ar,
+template <class AR>
+paddle::ps::Archive<AR>& operator<<(paddle::ps::Archive<AR>& ar,
                                     const MultiSlotType& ins) {
   ar << ins.GetType();
   ar << ins.GetOffset();
@@ -49,9 +48,8 @@ paddle::ps::Archive<AR>& operator << (
   return ar;
 }
 
-template<class AR>
-paddle::ps::Archive<AR>& operator >> (
-    paddle::ps::Archive<AR>& ar,
+template <class AR>
+paddle::ps::Archive<AR>& operator>>(paddle::ps::Archive<AR>& ar,
                                     MultiSlotType& ins) {
   ar >> ins.MutableType();
   ar >> ins.MutableOffset();
@@ -205,6 +203,10 @@ void FleetWrapper::PullDenseVarsSync(
 #endif
 }
 
+void FleetWrapper::PushDenseVarsSync(
+    Scope* scope, const uint64_t table_id,
+    const std::vector<std::string>& var_names) {}
+
 void FleetWrapper::PushDenseVarsAsync(
     const Scope& scope, const uint64_t table_id,
     const std::vector<std::string>& var_names,
@@ -324,8 +326,7 @@ std::default_random_engine& FleetWrapper::LocalRandomEngine() {
       clock_gettime(CLOCK_REALTIME, &tp);
       double cur_time = tp.tv_sec + tp.tv_nsec * 1e-9;
       static std::atomic<uint64_t> x(0);
-      std::seed_seq sseq = {x++, x++, x++,
-          (uint64_t)(cur_time * 1000)};
+      std::seed_seq sseq = {x++, x++, x++, (uint64_t)(cur_time * 1000)};
       engine.seed(sseq);
     }
   };
@@ -333,7 +334,7 @@ std::default_random_engine& FleetWrapper::LocalRandomEngine() {
   return r.engine;
 }
 
-template<typename T>
+template <typename T>
 void FleetWrapper::Serialize(const T& t, std::string* str) {
 #ifdef PADDLE_WITH_PSLIB
   paddle::ps::BinaryArchive ar;
@@ -344,7 +345,7 @@ void FleetWrapper::Serialize(const T& t, std::string* str) {
 #endif
 }
 
-template<typename T>
+template <typename T>
 void FleetWrapper::Deserialize(T* t, const std::string& str) {
 #ifdef PADDLE_WITH_PSLIB
   paddle::ps::BinaryArchive ar;
@@ -357,8 +358,8 @@ void FleetWrapper::Deserialize(T* t, const std::string& str) {
 
 template void FleetWrapper::Serialize<std::vector<MultiSlotType>>(
     const std::vector<MultiSlotType>&, std::string*);
-template void FleetWrapper::Deserialize(
-    std::vector<MultiSlotType>*, const std::string&);
+template void FleetWrapper::Deserialize(std::vector<MultiSlotType>*,
+                                        const std::string&);
 
 }  // end namespace framework
 }  // end namespace paddle

paddle/fluid/framework/fleet/fleet_wrapper.h

@@ -16,12 +16,12 @@ limitations under the License. */
 
 #include <memory>
 #ifdef PADDLE_WITH_PSLIB
-#include <pslib.h>
 #include <archive.h>
+#include <pslib.h>
 #endif
-#include <random>
 #include <atomic>
 #include <ctime>
+#include <random>
 #include <string>
 #include <vector>
 #include "paddle/fluid/framework/scope.h"
@@ -79,6 +79,9 @@ class FleetWrapper {
       const std::vector<std::string>& var_names,
       std::vector<::std::future<int32_t>>* push_sparse_status);
 
+  void PushDenseVarsSync(Scope* scope, const uint64_t table_id,
+                         const std::vector<std::string>& var_names);
+
   // Push sparse variables with labels to server in Async mode
   // This is specially designed for click/show stats in server
   // Param<in>: scope, table_id, var_grad_names,
@@ -121,9 +124,9 @@ class FleetWrapper {
                             const std::string& msg);
   std::default_random_engine& LocalRandomEngine();
 
-  template<typename T>
+  template <typename T>
   void Serialize(const T& t, std::string* str);
-  template<typename T>
+  template <typename T>
   void Deserialize(T* t, const std::string& str);
 
   static std::shared_ptr<FleetWrapper> GetInstance() {

paddle/fluid/pybind/fleet_wrapper_py.cc

@@ -43,6 +43,7 @@ namespace pybind {
 void BindFleetWrapper(py::module* m) {
   py::class_<framework::FleetWrapper>(*m, "Fleet")
       .def(py::init())
+      .def("push_dense", &framework::FleetWrapper::PushDenseVarsSync)
       .def("init_server", &framework::FleetWrapper::InitServer)
       .def("init_worker", &framework::FleetWrapper::InitWorker)
       .def("stop_server", &framework::FleetWrapper::StopServer)

python/paddle/fluid/incubate/__init__.py

+#   Copyright (c) 2019 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
+
+# incubate directory is mainly for internal use
+# after we have tested incubate APIs in industrial application for a period
+# we will move stable functions into fluid
+__version__ = '0.1.0'

python/paddle/fluid/incubate/fleet/parameter_server/__init__.py

@@ -142,4 +142,4 @@ class DistributedOptimizer(paddle.fluid.Optimizer):
                           no_grad_set)
 
         fleet_instance._set_opt_info(opt_info)
-        return [a, b]
+        return [optimize_ops, param_grads]