diff --git a/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.cc b/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.cc
index fd66dd7ecc3..af65748a45e 100644
--- a/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.cc
+++ b/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.cc
@@ -41,15 +41,18 @@ bool IsParameterOrValueNode(const AnfNodePtr &node) {
 }
 
 // NodeUsersMap, for node B input i use node A, it will be one item in map with key: A, and value: (B, i)
-bool IsNodeOutPutUsedByOtherRealKernel(const AnfNodeIndexSet &node_users) {
+bool IsNodeOutPutUsedByOtherRealKernel(const AnfNodeIndexSet &node_users, const CNodePtr &known_user,
+                                       size_t known_index) {
   if (node_users.size() == 1) {
     MS_LOG(INFO) << "This node only used once, no need to insert tensormove node.";
     return false;
   }
   for (const auto &node_pair : node_users) {
-    auto node = node_pair.first;
-    if (AnfAlgo::IsRealKernel(node) && !AnfAlgo::IsCommunicationOp(node)) {
-      MS_LOG(INFO) << "This node only used other real kernel: " << node->fullname_with_scope();
+    auto &node = node_pair.first;
+    size_t idx = IntToSize(node_pair.second);
+    if (AnfAlgo::IsRealKernel(node) && !(known_user == node && known_index == idx)) {
+      MS_LOG(INFO) << "User " << node->DebugString() << " idx " << idx << " is real kernel and diff with known "
+                   << known_user->DebugString() << " idx " << known_index;
       return true;
     }
   }
@@ -58,11 +61,13 @@ bool IsNodeOutPutUsedByOtherRealKernel(const AnfNodeIndexSet &node_users) {
 }
 }  // namespace
 
-bool InsertTensorMoveForHcclOp::NeedInsertTensorMove(const FuncGraphPtr &graph, const AnfNodePtr &input,
-                                                     const CNodePtr &cur_node) const {
+bool InsertTensorMoveForHcclOp::NeedInsertTensorMove(const FuncGraphPtr &graph, const CNodePtr &cur_node,
+                                                     size_t input_idx) const {
   MS_EXCEPTION_IF_NULL(graph);
-  MS_EXCEPTION_IF_NULL(input);
   MS_EXCEPTION_IF_NULL(cur_node);
+  auto input = cur_node->input(input_idx);
+  MS_EXCEPTION_IF_NULL(input);
+
   if (IsPrimitiveCNode(cur_node, prim::kPrimReceive)) {
     return false;
   }
@@ -93,7 +98,7 @@ bool InsertTensorMoveForHcclOp::NeedInsertTensorMove(const FuncGraphPtr &graph,
       MS_LOG(EXCEPTION) << "node has no output in manager"
                         << " trace: " << trace::DumpSourceLines(input);
     }
-    if (IsNodeOutPutUsedByOtherRealKernel(iter->second)) {
+    if (IsNodeOutPutUsedByOtherRealKernel(iter->second, cur_node, input_idx)) {
       return true;
     }
   }
@@ -107,7 +112,7 @@ void InsertTensorMoveForHcclOp::InsertTensorMove(const FuncGraphPtr &graph, cons
   std::vector<AnfNodePtr> new_inputs = {hccl_node->input(0)};
   for (size_t i = 1; i < hccl_node->size(); ++i) {
     auto input = hccl_node->input(i);
-    if (NeedInsertTensorMove(graph, input, hccl_node)) {
+    if (NeedInsertTensorMove(graph, hccl_node, i)) {
       auto tensor_move = CreateTensorMoveOp(graph, input);
       if (tensor_move == nullptr) {
         MS_LOG(EXCEPTION) << "Create tensor_move op failed.";
diff --git a/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.h b/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.h
index 98856375c24..7f3c146b339 100644
--- a/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.h
+++ b/mindspore/ccsrc/backend/optimizer/ascend/enhancer/insert_tensor_move_for_hccl_op.h
@@ -32,7 +32,7 @@ class InsertTensorMoveForHcclOp : public PatternProcessPass {
 
  private:
   void InsertTensorMove(const FuncGraphPtr &graph, const CNodePtr &hccl_node) const;
-  bool NeedInsertTensorMove(const FuncGraphPtr &graph, const AnfNodePtr &input, const CNodePtr &cur_node) const;
+  bool NeedInsertTensorMove(const FuncGraphPtr &graph, const CNodePtr &cur_node, size_t input_idx) const;
   KernelQueryPtr kernel_query_;
 };
 }  // namespace opt
diff --git a/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc b/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc
index 1b0a7e94b60..f24edf62d03 100644
--- a/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc
+++ b/mindspore/ccsrc/backend/session/anf_runtime_algorithm.cc
@@ -1575,16 +1575,15 @@ bool AnfRuntimeAlgorithm::IsInplaceNode(const mindspore::AnfNodePtr &kernel, con
 }
 
 bool AnfRuntimeAlgorithm::IsCommunicationOp(const AnfNodePtr &node) {
+  static const std::set<std::string> kCommunicationOpNames = {kAllReduceOpName,     kAllGatherOpName, kBroadcastOpName,
+                                                              kReduceScatterOpName, kHcomSendOpName,  kReceiveOpName,
+                                                              kAllToAllVOpName};
   MS_EXCEPTION_IF_NULL(node);
   if (!node->isa<CNode>()) {
     return false;
   }
   auto kernel_name = AnfAlgo::GetCNodeName(node);
-  if (kernel_name == kAllReduceOpName || kernel_name == kAllGatherOpName || kernel_name == kBroadcastOpName ||
-      kernel_name == kReduceScatterOpName || kernel_name == kHcomSendOpName || kernel_name == kReceiveOpName) {
-    return true;
-  }
-  return false;
+  return (kCommunicationOpNames.find(kernel_name) != kCommunicationOpNames.end());
 }
 
 bool AnfRuntimeAlgorithm::IsFusedCommunicationOp(const AnfNodePtr &node) {