diff --git a/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.cc b/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.cc
index 87b8d15cca0b5d53da7384fd0066151a04e50923..e88868c772df735d35a9ba5ea670452f6b0108dc 100644
--- a/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.cc
+++ b/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.cc
@@ -204,7 +204,7 @@ Status DropoutDoMaskInfo::InitForCostModel(const StrategyPtr &strategy) {
 
 PrimitivePtr GetDropoutGenMaskPrim(const CNodePtr &cnode) {
   MS_EXCEPTION_IF_NULL(cnode);
-  if (cnode->inputs().size() != DROPOUT_DO_MASK_CNODE_INPUT_SIZE) {
+  if (cnode->size() != DROPOUT_DO_MASK_CNODE_INPUT_SIZE) {
     MS_LOG(EXCEPTION) << "The size of dropout do mask cnode's inputs must be " << DROPOUT_DO_MASK_CNODE_INPUT_SIZE;
   }
 
@@ -215,8 +215,7 @@ PrimitivePtr GetDropoutGenMaskPrim(const CNodePtr &cnode) {
   }
 
   auto dropout_gen_mask_cnode = dropout_gen_mask->cast<CNodePtr>();
-  MS_EXCEPTION_IF_NULL(dropout_gen_mask_cnode);
-  if (dropout_gen_mask_cnode->inputs().size() != DROPOUT_GEN_MASK_CNODE_INPUT_SIZE) {
+  if (dropout_gen_mask_cnode->size() != DROPOUT_GEN_MASK_CNODE_INPUT_SIZE) {
     MS_LOG(EXCEPTION) << "The size of dropout gen mask cnode's inputs must be " << DROPOUT_GEN_MASK_CNODE_INPUT_SIZE;
   }
   if (!IsValueNode<Primitive>(dropout_gen_mask_cnode->input(0))) {
@@ -233,11 +232,45 @@ PrimitivePtr GetDropoutGenMaskPrim(const CNodePtr &cnode) {
   return prim;
 }
 
+void SetGenMaskShape(const CNodePtr &cnode, const Shape &input_slice_shape) {
+  MS_EXCEPTION_IF_NULL(cnode);
+  if (cnode->size() != DROPOUT_DO_MASK_CNODE_INPUT_SIZE) {
+    MS_LOG(EXCEPTION) << "The size of dropout do mask cnode's inputs must be " << DROPOUT_DO_MASK_CNODE_INPUT_SIZE;
+  }
+
+  AnfNodePtr dropout_gen_mask = cnode->input(DROPOUT_GEN_MASK_INDEX);
+  MS_EXCEPTION_IF_NULL(dropout_gen_mask);
+  if (!dropout_gen_mask->isa<CNode>()) {
+    MS_LOG(EXCEPTION) << "The dropout do mask cnode's input[" << DROPOUT_GEN_MASK_INDEX << "] must be a cnode.";
+  }
+
+  auto dropout_gen_mask_cnode = dropout_gen_mask->cast<CNodePtr>();
+  if (dropout_gen_mask_cnode->size() != DROPOUT_GEN_MASK_CNODE_INPUT_SIZE) {
+    MS_LOG(EXCEPTION) << "The size of dropout gen mask cnode's inputs must be " << DROPOUT_GEN_MASK_CNODE_INPUT_SIZE;
+  }
+
+  if (!IsValueNode<ValueTuple>(dropout_gen_mask_cnode->input(1))) {
+    MS_LOG(EXCEPTION) << "The input[1] of dropout gen mask cnode is not ValueTuple.";
+  }
+
+  FuncGraphPtr func_graph = cnode->func_graph();
+  MS_EXCEPTION_IF_NULL(func_graph);
+  FuncGraphManagerPtr manager = func_graph->manager();
+  if (manager == nullptr) {
+    MS_LOG(EXCEPTION) << "Failure: AddNode error since manager is nullptr.";
+  }
+
+  ValuePtr new_shape = MakeValue(input_slice_shape);
+  AnfNodePtr val = NewValueNode(new_shape);
+  (void)manager->Replace(dropout_gen_mask_cnode->input(1), val);
+}
+
 // DropoutDoMask needs to be used together with DropoutGenMask. Only the first input tensor of DropoutGenMask is
 // split. Find the DropoutGenMask node in the anf graph according to DropoutDoMask node, and modify the input shape
 // of DropoutGenMask according to the strategy of DropoutDoMask. When the DropoutDoMask performs repeated calculation
 // and both seeds of DropoutGenMask are 0, two new seeds are automatically generated for DropoutGenMask.
-Operator DropoutDoMaskInfo::GetDropoutGenMaskReplaceOp(const CNodePtr &cnode) {
+std::vector<Operator> DropoutDoMaskInfo::GetDropoutGenMaskReplaceOp(const CNodePtr &cnode) {
+  std::vector<Operator> replace_ops;
   MS_EXCEPTION_IF_NULL(cnode);
   PrimitivePtr prim = GetDropoutGenMaskPrim(cnode);
   MS_EXCEPTION_IF_NULL(prim);
@@ -260,15 +293,20 @@ Operator DropoutDoMaskInfo::GetDropoutGenMaskReplaceOp(const CNodePtr &cnode) {
   if ((attr.find(SEED0) == attr.end()) || (attr.find(SEED1) == attr.end())) {
     MS_LOG(EXCEPTION) << "The attrs of dropout gen mask must be have seed0 and seed1";
   }
+
+  Shape input_slice_shape = inputs_tensor_info_[0].slice_shape();
   int32_t seed_0 = GetValue<int32_t>(attr[SEED0]);
   int32_t seed_1 = GetValue<int32_t>(attr[SEED1]);
   if ((seed_0 == 0) && (seed_1 == 0) && (repeated_calc_num_ > 1)) {
     seed_0 = SEED_NUM;
     seed_1 = SEED_NUM;
     SEED_NUM++;
+  } else {
+    SetGenMaskShape(cnode, input_slice_shape);
+    MS_LOG(DEBUG) << "The input slice shape droupout is " << ShapeToString(input_slice_shape);
+    return replace_ops;
   }
 
-  Shape input_slice_shape = inputs_tensor_info_[0].slice_shape();
   ValuePtr new_shape = MakeValue(input_slice_shape);
   Attr attr_0 = std::make_pair(SEED0, MakeValue(seed_0));
   Attr attr_1 = std::make_pair(SEED1, MakeValue(seed_1));
@@ -278,7 +316,8 @@ Operator DropoutDoMaskInfo::GetDropoutGenMaskReplaceOp(const CNodePtr &cnode) {
   OperatorParams params = {std::make_pair(param_0, 1), std::make_pair(param_1, 2)};
   OperatorArgs args = std::make_pair(attrs, params);
   Operator replace_op = {std::make_pair(DROPOUT_GEN_MASK, args)};
-  return replace_op;
+  replace_ops.push_back(replace_op);
+  return replace_ops;
 }
 }  // namespace parallel
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.h b/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.h
index c0d112f52d488dba7d66e25ad5009832bc4d0f3a..c51a0a951357f5718563d48c239b7c1aaf94005b 100644
--- a/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.h
+++ b/mindspore/ccsrc/parallel/ops_info/dropout_do_mask_info.h
@@ -41,7 +41,7 @@ class DropoutDoMaskInfo : public OperatorInfo {
   Status SetCostUnderStrategy(const StrategyPtr &strategy) override;
   Status InitForCostModel(const StrategyPtr &strategy) override;
   std::shared_ptr<std::vector<std::vector<int32_t>>> GenerateBatchStrategies() override;
-  Operator GetDropoutGenMaskReplaceOp(const CNodePtr &cnode);
+  std::vector<Operator> GetDropoutGenMaskReplaceOp(const CNodePtr &cnode);
 
  protected:
   Status CheckStrategy(const StrategyPtr &strategy) override;
diff --git a/mindspore/ccsrc/parallel/step_parallel.cc b/mindspore/ccsrc/parallel/step_parallel.cc
index 4528ff8639c7e5ea6cd412a7fecd847c3b1fa11d..39dd2c96e0005e90fbc45fdc4f53dd4f6fc2fb4f 100644
--- a/mindspore/ccsrc/parallel/step_parallel.cc
+++ b/mindspore/ccsrc/parallel/step_parallel.cc
@@ -1876,11 +1876,15 @@ void HandleDropoutNode(const OperatorInfoPtr &distribute_operator, const CNodePt
 
   DropoutDoMaskInfoPtr dropout_do_mask = std::dynamic_pointer_cast<DropoutDoMaskInfo>(distribute_operator);
   MS_EXCEPTION_IF_NULL(dropout_do_mask);
-  Operator replace_op = dropout_do_mask->GetDropoutGenMaskReplaceOp(cnode);
+  std::vector<Operator> replace_op = dropout_do_mask->GetDropoutGenMaskReplaceOp(cnode);
+  if (replace_op.empty()) {
+    MS_LOG(DEBUG) << "No need to replace dropout_gen_mask";
+    return;
+  }
   if (cnode->inputs().size() != DROPOUT_DO_MASK_CNODE_INPUT_SIZE) {
     MS_LOG(EXCEPTION) << "The size of drop out do mask cnode's input is not " << DROPOUT_DO_MASK_CNODE_INPUT_SIZE;
   }
-  ReplaceOneOp(replace_op, cnode->input(DROPOUT_GEN_MASK_INDEX)->cast<CNodePtr>());
+  ReplaceOneOp(replace_op[0], cnode->input(DROPOUT_GEN_MASK_INDEX)->cast<CNodePtr>());
 }
 
 void HandleSpecialNode(const OperatorInfoPtr &distribute_operator, const CNodePtr &cnode) {