tmp

paddle/fluid/operators/CMakeLists.txt

@@ -194,8 +194,6 @@ if(WITH_DISTRIBUTE)
     set_source_files_properties(recv_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
     op_library(listen_and_serv_op DEPS ${DISTRIBUTE_DEPS})
     set_source_files_properties(listen_and_serv_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
-    op_library(async_listen_and_serv_op DEPS ${DISTRIBUTE_DEPS})
-    set_source_files_properties(async_listen_and_serv_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
     op_library(send_vars_op DEPS ${DISTRIBUTE_DEPS})
     set_source_files_properties(send_vars_op.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
     op_library(send_barrier_op DEPS ${DISTRIBUTE_DEPS})

paddle/fluid/operators/detail/CMakeLists.txt

 if(WITH_DISTRIBUTE)
   grpc_library(sendrecvop_grpc SRCS bytebuffer_stream.cc sendrecvop_utils.cc grpc_client.cc
-      grpc_server.cc async_grpc_server.cc variable_response.cc PROTO send_recv.proto DEPS lod_tensor selected_rows)
+      grpc_server.cc variable_response.cc PROTO send_recv.proto DEPS lod_tensor selected_rows)
   set(DISTRIBUTE_COMPILE_FLAGS "-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor")
   set_source_files_properties(serde_test.cc grpc_server_test.cc PROPERTIES COMPILE_FLAGS ${DISTRIBUTE_COMPILE_FLAGS})
   cc_test(serde_test SRCS serde_test.cc variable_response.cc DEPS grpc++_unsecure grpc_unsecure gpr

python/paddle/fluid/distribute_transpiler.py

@@ -143,7 +143,8 @@ class DistributeTranspiler:
                   program=None,
                   pservers="127.0.0.1:6174",
                   trainers=1,
-                  split_method=splitter.round_robin):
+                  split_method=splitter.round_robin,
+                  sync_mode=True):
         """
             Transpile the program to distributed data-parallelism programs.
             The main_program will be transformed to use a remote parameter server
@@ -191,6 +192,7 @@ class DistributeTranspiler:
         self.origin_program = program
         self.trainer_num = trainers
         self.optimize_ops = optimize_ops
+        self.sync_mode = sync_mode
         # TODO(typhoonzero): currently trainer_id is fetched from cluster system
         # like Kubernetes, we should port this to use etcd later when developing
         # fluid distributed training with fault-tolerance.
@@ -473,7 +475,9 @@ class DistributeTranspiler:
                 "OptimizeBlock": optimize_block,
                 "endpoint": endpoint,
                 "Fanin": self.trainer_num,
-                "PrefetchBlock": prefetch_block
+                "PrefetchBlock": prefetch_block,
+                "sync_mode": self.sync_mode,
+                "grad_to_id": []
             })
 
         pserver_program.sync_with_cpp()