diff --git a/mindspore/ccsrc/pre_activate/ascend/buffer_fusion/buffer_fusion.cc b/mindspore/ccsrc/pre_activate/ascend/buffer_fusion/buffer_fusion.cc
index 851831383b..a2313a50d0 100644
--- a/mindspore/ccsrc/pre_activate/ascend/buffer_fusion/buffer_fusion.cc
+++ b/mindspore/ccsrc/pre_activate/ascend/buffer_fusion/buffer_fusion.cc
@@ -270,17 +270,9 @@ kernel::KernelBuildInfoPtr CreateFusionOpKernelInfo(const std::vector<AnfNodePtr
   std::vector<std::string> inputs_format;
   std::vector<TypeId> inputs_data_type;
   for (const auto &input : inputs_list) {
-    if (input->isa<CNode>() && AnfAlgo::GetCNodeName(input) == prim::kPrimTupleGetItem->name()) {
-      auto tuple_getitem = input->cast<CNodePtr>();
-      MS_EXCEPTION_IF_NULL(tuple_getitem);
-      inputs_format.push_back(AnfAlgo::GetOutputFormat(
-        tuple_getitem->input(1), IntToSize(GetValue<int>(GetValueNode(tuple_getitem->input(2))))));
-      inputs_data_type.push_back(AnfAlgo::GetOutputDeviceDataType(
-        tuple_getitem->input(1), IntToSize(GetValue<int>(GetValueNode(tuple_getitem->input(2))))));
-    } else {
-      inputs_format.push_back(AnfAlgo::GetOutputFormat(input, 0));
-      inputs_data_type.push_back(AnfAlgo::GetOutputDeviceDataType(input, 0));
-    }
+    auto real_input = AnfAlgo::VisitKernel(input, 0);
+    inputs_format.push_back(AnfAlgo::GetOutputFormat(real_input.first, real_input.second));
+    inputs_data_type.push_back(AnfAlgo::GetOutputDeviceDataType(real_input.first, real_input.second));
   }
   // outputs format and data type
   std::vector<std::string> outputs_format;
@@ -375,11 +367,10 @@ void GetFusionScopeComputeNodeList(session::KernelGraph *kernel_graph,
   }
 }
 
-void GetFusionScopeInputNodeList(session::KernelGraph *kernel_graph,
+void GetFusionScopeInputNodeList(const session::KernelGraph &kernel_graph,
                                  std::unordered_map<int32_t, BufferFusionInfo_t> *buffer_fusion_infos) {
-  MS_EXCEPTION_IF_NULL(kernel_graph);
   MS_EXCEPTION_IF_NULL(buffer_fusion_infos);
-  auto manager = kernel_graph->manager();
+  auto manager = kernel_graph.manager();
   MS_EXCEPTION_IF_NULL(manager);
 
   for (auto &buffer_fusion_info : *buffer_fusion_infos) {
@@ -643,7 +634,7 @@ void BufferFusion::GetBufferFusionInfo(session::KernelGraph *kernel_graph,
                                        std::unordered_map<int32_t, BufferFusionInfo_t> *buffer_fusion_infos) const {
   MS_EXCEPTION_IF_NULL(buffer_fusion_infos);
   GetFusionScopeComputeNodeList(kernel_graph, buffer_fusion_infos);
-  GetFusionScopeInputNodeList(kernel_graph, buffer_fusion_infos);
+  GetFusionScopeInputNodeList(*kernel_graph, buffer_fusion_infos);
   GetFusionScopeOutputNodeList(kernel_graph, buffer_fusion_infos);
   for (auto &buffer_fusion_info : *buffer_fusion_infos) {
     buffer_fusion_info.second.kernel_build_info =
diff --git a/mindspore/ops/_op_impl/tbe/relu6_grad.py b/mindspore/ops/_op_impl/tbe/relu6_grad.py
index eaf3449fe7..5a9af9b425 100644
--- a/mindspore/ops/_op_impl/tbe/relu6_grad.py
+++ b/mindspore/ops/_op_impl/tbe/relu6_grad.py
@@ -17,7 +17,7 @@
 from mindspore.ops.op_info_register import op_info_register, TBERegOp, DataType
 
 relu6_grad_op_info = TBERegOp("ReLU6Grad") \
-    .fusion_type("ELEMWISE") \
+    .fusion_type("OPAQUE") \
     .async_flag(False) \
     .binfile_name("relu6_grad.so") \
     .compute_cost(10) \