diff --git a/python/paddle/fluid/incubate/fleet/parameter_server/distribute_transpiler/__init__.py b/python/paddle/fluid/incubate/fleet/parameter_server/distribute_transpiler/__init__.py
index d555e9876a08cecb7c32057a61a92e0cc9dacf7b..1a7a82fbfac19b41e8b96c231ca74398f6b2214c 100644
--- a/python/paddle/fluid/incubate/fleet/parameter_server/distribute_transpiler/__init__.py
+++ b/python/paddle/fluid/incubate/fleet/parameter_server/distribute_transpiler/__init__.py
@@ -38,6 +38,7 @@ from paddle.fluid.incubate.fleet.base.role_maker import MPISymetricRoleMaker
 from paddle.fluid.incubate.fleet.parameter_server import version
 from paddle.fluid.incubate.fleet.parameter_server.ir.public import get_sparse_tablenames
 from paddle.fluid.incubate.fleet.parameter_server.ir.public import _get_lr_ops
+from paddle.fluid.incubate.fleet.parameter_server.ir.public import _has_global_step
 from paddle.fluid.incubate.fleet.parameter_server.distribute_transpiler.distributed_strategy import TrainerRuntimeConfig, DistributedStrategy, \
     SyncStrategy, AsyncStrategy, HalfAsyncStrategy, GeoStrategy, StrategyFactory
 
@@ -161,9 +162,9 @@ class FleetTranspiler(Fleet):
 
         print(trainer_config)
 
-        lrs = _get_lr_ops(self._origin_main_program)
+        lrs = _has_global_step(_get_lr_ops(self._origin_main_program))
 
-        if len(lrs) > 0:
+        if lrs > 0:
             kwargs = {"need_global_step": "1"}
         else:
             kwargs = {"need_global_step": "0"}
@@ -186,14 +187,6 @@ class FleetTranspiler(Fleet):
             recv_ctx = fleet.compiled_config.get_communicator_recv_context(
                 recv_type=1)
 
-        for name, ctx in send_ctx.items():
-            print("name: {}, ctx: {}".format(name, ctx))
-
-        print("==== = ==== =============== ====")
-
-        for name, ctx in recv_ctx.items():
-            print("name: {}, ctx: {}".format(name, ctx))
-
         from paddle.fluid.communicator import Communicator
         self._communicator = Communicator(
             trainer_config.mode, kwargs,
diff --git a/python/paddle/fluid/incubate/fleet/parameter_server/ir/public.py b/python/paddle/fluid/incubate/fleet/parameter_server/ir/public.py
index b96eff19e9b9c5d8e78b85e61b9a69afee106546..f9889997d9e38c98c4a736a62dbc72da7029f337 100644
--- a/python/paddle/fluid/incubate/fleet/parameter_server/ir/public.py
+++ b/python/paddle/fluid/incubate/fleet/parameter_server/ir/public.py
@@ -43,6 +43,8 @@ from paddle.fluid.incubate.fleet.parameter_server.ir.ps_dispatcher import RoundR
 OP_NAME_SCOPE = "op_namescope"
 CLIP_OP_NAME_SCOPE = "@CLIP"
 STEP_COUNTER = "@PS_STEP_COUNTER@"
+LEARNING_RATE_DECAY_COUNTER = "@LR_DECAY_COUNTER@"
+
 OP_ROLE_VAR_ATTR_NAME = core.op_proto_and_checker_maker.kOpRoleVarAttrName()
 RPC_OP_ROLE_ATTR_NAME = core.op_proto_and_checker_maker.kOpRoleAttrName()
 RPC_OP_ROLE_ATTR_VALUE = core.op_proto_and_checker_maker.OpRole.RPC
@@ -62,6 +64,17 @@ def _get_lr_ops(program):
     return lr_ops
 
 
+def _has_global_step(lr_ops):
+    if len(lr_ops) > 0:
+        for idx, op in enumerate(lr_ops):
+            if op.type != 'increment':
+                continue
+            counter = op.input("X")[0]
+            if counter == LEARNING_RATE_DECAY_COUNTER:
+                return True
+    return False
+
+
 def is_sparse_op(op):
     if op.type == "lookup_table" and op.attr('is_sparse') is True and op.attr(
             'is_distributed') is False: