Revert "cpu reduce mode did not need to broadcast params test=develop"

paddle/fluid/framework/details/build_strategy.cc

@@ -133,15 +133,12 @@ class ParallelExecutorPassBuilder : public ir::PassBuilder {
   void AppendMultiDevPass(const BuildStrategy &strategy) {
     ir::Pass *multi_devices_pass;
     if (strategy_.is_distribution_) {
-      VLOG(3) << "multi device dist train mode";
       multi_devices_pass = AppendPass("dist_multi_devices_pass").get();
     } else {
       if (strategy.reduce_ == BuildStrategy::ReduceStrategy::kAllReduce) {
-        VLOG(3) << "multi device allreduce mode";
         multi_devices_pass =
             AppendPass("allreduce_mode_multi_devices_pass").get();
       } else if (strategy.reduce_ == BuildStrategy::ReduceStrategy::kReduce) {
-        VLOG(3) << "multi device reduce mode";
         multi_devices_pass = AppendPass("reduce_mode_multi_devices_pass").get();
       } else {
         PADDLE_THROW("Unknown reduce strategy.");

paddle/fluid/framework/details/multi_devices_graph_pass.cc

@@ -731,6 +731,7 @@ bool DistSSAGraphBuilder::DealWithSpecialOp(ir::Graph *result,
       }
     }
     insert_op = true;
+    need_broadcast_var_ = true;
   } else if (OpHaveRole(*node, OpRole::kDist)) {
     int op_dev_id = CreateDistTrainOp(result, node);
     if (node->Op()->Type() == "concat") {
@@ -924,8 +925,9 @@ void DistSSAGraphBuilder::InsertCollectiveOp(ir::Graph *result,
 }
 
 void DistSSAGraphBuilder::InsertPostprocessOps(ir::Graph *result) const {
-  // only GPU reduce mode need to broadcast parameters to each device.
-  if (UseGPU() && strategy_.reduce_ == BuildStrategy::ReduceStrategy::kReduce) {
+  if (need_broadcast_var_ ||
+      (UseGPU() &&
+       strategy_.reduce_ == BuildStrategy::ReduceStrategy::kReduce)) {
     if (strategy_.fuse_broadcast_op_) {
       CreateFusedBroadcastOp(result, bcast_var_name_set_);
     } else {

paddle/fluid/framework/details/multi_devices_graph_pass.h

@@ -174,6 +174,7 @@ class DistSSAGraphBuilder : public BalanceVarSSAGraphBuilder {
   int CreateDistTrainOp(ir::Graph *result, ir::Node *node) const;
 
   mutable std::vector<std::unordered_set<std::string>> bcast_var_name_set_;
+  mutable bool need_broadcast_var_{false};
 };
 
 std::unordered_set<std::string> &MultiDevSSAGraphBuilder();

python/paddle/fluid/compiler.py

@@ -19,7 +19,6 @@ import sys
 from .. import compat as cpt
 
 from . import core
-from . import framework
 
 __all__ = ['CompiledProgram', 'ExecutionStrategy', 'BuildStrategy']
 
@@ -35,15 +34,6 @@ def _place_obj(place):
     return p
 
 
-def _is_pserver_mode(main_program):
-    main = main_program if main_program \
-        else framework.default_main_program()
-    for op in main.global_block().ops:
-        if op.type in ["send", "recv"]:
-            return True
-    return False
-
-
 class CompiledProgram(object):
     """
     Compiles a Program for execution.
@@ -120,7 +110,6 @@ class CompiledProgram(object):
             self._exec_strategy = ExecutionStrategy()
         if self._build_strategy is None:
             self._build_strategy = BuildStrategy()
-        self._build_strategy.is_distribution = _is_pserver_mode(self._program)
         return self
 
     def with_inference_optimize(self, config):