fix some conflict for compilation

paddle/fluid/framework/CMakeLists.txt

@@ -198,7 +198,6 @@ cc_library(parallel_executor SRCS parallel_executor.cc DEPS
         graph build_strategy
         fast_threaded_ssa_graph_executor variable_helper)
 
-if(WITH_PSLIB)
 cc_library(async_executor SRCS async_executor.cc data_feed.cc data_feed_factory.cc
            executor_thread_worker.cc multi_trainer.cc dist_multi_trainer.cc
            trainer_factory.cc trainer.cc device_worker.cc hogwild_worker.cc
@@ -206,19 +205,8 @@ if(WITH_PSLIB)
            data_set.cc
            DEPS op_registry device_context scope framework_proto
            trainer_desc_proto glog lod_rank_table fleet_wrapper lodtensor_printer
-			      feed_fetch_method graph_to_program_pass async_executor_proto
-			      variable_helper pslib_brpc pslib timer fs shell)
-else()
-    cc_library(async_executor SRCS async_executor.cc data_feed.cc data_feed_factory.cc
-                              executor_thread_worker.cc multi_trainer.cc dist_multi_trainer.cc
-                              trainer_factory.cc trainer.cc device_worker.cc hogwild_worker.cc
-                              downpour_worker.cc pull_dense_worker.cc device_worker_factory.cc
-                              data_set.cc
-			      DEPS op_registry device_context scope framework_proto
-			      trainer_desc_proto glog lod_rank_table fleet_wrapper lodtensor_printer
-			      feed_fetch_method graph_to_program_pass async_executor_proto
-			      variable_helper timer fs shell)
-endif(WITH_PSLIB)
+           feed_fetch_method graph_to_program_pass data_feed_proto
+           variable_helper timer)
 
 
 cc_test(data_feed_test SRCS data_feed_test.cc DEPS async_executor)

paddle/fluid/framework/data_feed.cc

@@ -220,8 +220,8 @@ void InMemoryDataFeed<T>::LocalShuffle() {
   std::random_shuffle(memory_data_.begin(), memory_data_.end());
 }
 
-
 template class InMemoryDataFeed<std::vector<MultiSlotType>>;
+
 // todo global shuffle
 /*
 template <typename T>

paddle/fluid/pybind/pybind.cc

@@ -50,6 +50,7 @@ limitations under the License. */
 #include "paddle/fluid/platform/profiler.h"
 #include "paddle/fluid/pybind/async_executor_py.h"
 #include "paddle/fluid/pybind/const_value.h"
+#include "paddle/fluid/pybind/data_set_py.h"
 #include "paddle/fluid/pybind/exception.h"
 #include "paddle/fluid/pybind/fleet_wrapper_py.h"
 #include "paddle/fluid/pybind/imperative.h"
@@ -61,7 +62,6 @@ limitations under the License. */
 #include "paddle/fluid/pybind/recordio.h"
 #include "paddle/fluid/pybind/tensor_py.h"
 #include "paddle/fluid/string/to_string.h"
-#include "paddle/fluid/pybind/data_set_py.h"
 
 #ifdef PADDLE_WITH_CUDA
 #ifndef _WIN32
@@ -923,6 +923,7 @@ All parameter, weight, gradient are variables in Paddle.
   py::class_<framework::Executor>(m, "Executor")
       .def(py::init<const platform::Place &>())
       .def("close", &Executor::Close)
+      .def("run_from_dataset", &Executor::RunFromDataset)
       .def("run", [](Executor &self, const ProgramDesc &prog, Scope *scope,
                      int block_id, bool create_local_scope, bool create_vars,
                      const std::vector<std::string> &fetch_vars) {