diff --git a/mindspore/ccsrc/backend/common/pass/custom_op_const_input_to_attr.cc b/mindspore/ccsrc/backend/common/pass/custom_op_const_input_to_attr.cc
index d606fc1c002..ea5dd54a3cd 100644
--- a/mindspore/ccsrc/backend/common/pass/custom_op_const_input_to_attr.cc
+++ b/mindspore/ccsrc/backend/common/pass/custom_op_const_input_to_attr.cc
@@ -31,11 +31,10 @@ const AnfNodePtr CustomOpConstInputToAttr::Process(const FuncGraphPtr &, const A
 
   auto cnode = node->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(cnode);
-
-  // Only process Custom operator.
   if (!IsPrimitiveCNode(cnode, prim::kPrimCustom)) {
     return nullptr;
   }
+
   auto primitive = common::AnfAlgo::GetCNodePrimitive(cnode);
   MS_EXCEPTION_IF_NULL(primitive);
   mindspore::HashSet<size_t> attr_indices;
diff --git a/mindspore/ccsrc/backend/common/pass/custom_op_reg_info_to_attr.cc b/mindspore/ccsrc/backend/common/pass/custom_op_reg_info_to_attr.cc
index 34c27f63534..e5748b34213 100644
--- a/mindspore/ccsrc/backend/common/pass/custom_op_reg_info_to_attr.cc
+++ b/mindspore/ccsrc/backend/common/pass/custom_op_reg_info_to_attr.cc
@@ -123,14 +123,12 @@ const AnfNodePtr CustomOpRegInfoToAttr::Process(const FuncGraphPtr &, const AnfN
   if (node == nullptr || !AnfUtils::IsRealCNodeKernel(node)) {
     return nullptr;
   }
-
   auto cnode = node->cast<CNodePtr>();
   MS_EXCEPTION_IF_NULL(cnode);
-
-  // Only process Custom operator.
   if (!IsPrimitiveCNode(cnode, prim::kPrimCustom)) {
     return nullptr;
   }
+
   auto primitive = common::AnfAlgo::GetCNodePrimitive(cnode);
   MS_EXCEPTION_IF_NULL(primitive);
   auto func_type = common::AnfAlgo::GetNodeAttr<std::string>(cnode, kAttrFuncType);
@@ -148,7 +146,7 @@ const AnfNodePtr CustomOpRegInfoToAttr::Process(const FuncGraphPtr &, const AnfN
   auto attr_names_vec = GetValue<std::vector<std::string>>(attr_names);
   for (const auto &name : attr_names_vec) {
     if (!primitive->HasAttr(name)) {
-      missing_attrs.insert(name);
+      (void)missing_attrs.insert(name);
     }
   }
   if (missing_attrs.empty()) {
diff --git a/mindspore/ccsrc/backend/common/somas/somas_parameter.h b/mindspore/ccsrc/backend/common/somas/somas_parameter.h
index ed4ba14945e..697130748b1 100644
--- a/mindspore/ccsrc/backend/common/somas/somas_parameter.h
+++ b/mindspore/ccsrc/backend/common/somas/somas_parameter.h
@@ -25,7 +25,7 @@ namespace mindspore {
 namespace somas {
 class SomasParameter {
  public:
-  SomasParameter(size_t id, const std::string source_node_name, size_t index, const void *addr, size_t size)
+  SomasParameter(size_t id, const std::string &source_node_name, size_t index, const void *addr, size_t size)
       : id_(id),
         source_node_name_(source_node_name),
         output_index_(index),
diff --git a/mindspore/ccsrc/kernel/environ_manager.cc b/mindspore/ccsrc/kernel/environ_manager.cc
index 5dcf38a28ac..e546775fc15 100644
--- a/mindspore/ccsrc/kernel/environ_manager.cc
+++ b/mindspore/ccsrc/kernel/environ_manager.cc
@@ -17,6 +17,7 @@
 #include "kernel/environ_manager.h"
 #include "utils/ms_utils.h"
 #include "utils/log_adapter.h"
+#include "include/common/utils/utils.h"
 
 namespace mindspore {
 namespace kernel {
@@ -89,8 +90,8 @@ bool EnvironMgr::CheckEnvInput(const CNodePtr &kernel_node) const {
   }
 
   // Check the input value.
-  auto value_type = AnfAlgo::GetInputDeviceDataType(kernel_node, 2);
-  auto value_shapes = AnfAlgo::GetInputDeviceShape(kernel_node, 2);
+  auto value_type = AnfAlgo::GetInputDeviceDataType(kernel_node, kIndex2);
+  auto value_shapes = AnfAlgo::GetInputDeviceShape(kernel_node, kIndex2);
   if ((value_type_attr == kObjectTypeEnvType) && (!IsScalarTensor(value_type, value_shapes))) {
     MS_LOG(ERROR) << "The input value checks invalid, kernel: " << kernel_node->fullname_with_scope();
     return false;
diff --git a/mindspore/ccsrc/kernel/kash/kernel_pack.cc b/mindspore/ccsrc/kernel/kash/kernel_pack.cc
index b2ce42f31ce..37769abdb41 100644
--- a/mindspore/ccsrc/kernel/kash/kernel_pack.cc
+++ b/mindspore/ccsrc/kernel/kash/kernel_pack.cc
@@ -101,7 +101,7 @@ bool KernelPack::ReadFromJsonFile(const std::string &json_f, const std::string &
   (void)kernel_json.read(json_->contents, SizeToLong(json_->len));
 
   if (processor == kProcessorCpu) {
-    std::string bin_f = json_f.substr(0, json_f.length() - 5) + ".so";
+    std::string bin_f = json_f.substr(0, json_f.length() - kJsonSuffixLength) + ".so";
     if (!CheckHash(json_f, bin_f, js)) {
       return false;
     }
diff --git a/mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_kernel_runtime.cc b/mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_kernel_runtime.cc
index 7e2ea0ee0d1..f564a329b3d 100644
--- a/mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_kernel_runtime.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/hal/device/ascend_kernel_runtime.cc
@@ -694,7 +694,7 @@ std::string AscendKernelRuntime::GetDumpPath() {
 }
 
 #ifndef ENABLE_SECURITY
-void AscendKernelRuntime::DumpTaskExceptionInfo(const session::KernelGraph & /* graph */) {
+void AscendKernelRuntime::DumpTaskExceptionInfo(const session::KernelGraph &) {
   const std::string path = GetDumpPath();
   if (access(path.c_str(), F_OK) == 0) {
     if (!DeleteDumpDir(path)) {
diff --git a/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc b/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc
index 4c5d58babed..7716ef821c1 100644
--- a/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_device_context.cc
@@ -421,7 +421,6 @@ void AscendDeviceContext::PreprocessBeforeRunGraph(const KernelGraphPtr &graph)
     MS_LOG(EXCEPTION) << "Preprocess failed before run graph " << graph->graph_id() << ", \nerror msg: " << e.what();
   }
 
-  // TODO(dsj): for ms_function running in graph_mode. should be delete later
   const std::vector<CNodePtr> &kernels = graph->execution_order();
   for (const auto &kernel : kernels) {
     common::AnfAlgo::SetNodeAttr(kAttrMSFunction, MakeValue(true), kernel);
@@ -831,7 +830,6 @@ bool AscendDeviceContext::LaunchKernel(const CNodePtr &kernel, const vector<Addr
 
   auto ms_context = MsContext::GetInstance();
   MS_EXCEPTION_IF_NULL(ms_context);
-  // TODO(dsj): for ms_function running in graph_mode. should be delete later
   if (!is_dynamic_shape || !(common::AnfAlgo::GetBooleanAttr(kernel, kAttrMSFunction))) {
     std::lock_guard<std::mutex> locker(launch_mutex_);
     // launch atomic clean
@@ -846,7 +844,6 @@ bool AscendDeviceContext::LaunchKernel(const CNodePtr &kernel, const vector<Addr
     MemoryCopyAsync(kernel, real_inputs, outputs);
   } else {
     MS_LOG(DEBUG) << "Launch kernel " << kernel->fullname_with_scope();
-    // TODO(dsj): for ms_function running in graph_mode. should be delete later
     if (is_dynamic_shape && !(common::AnfAlgo::GetBooleanAttr(kernel, kAttrMSFunction))) {
       ret = kernel_mod->Launch(real_inputs, workspace, outputs, GetKernelStream(kernel));
       if (!ret) {
diff --git a/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_graph_optimization.cc b/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_graph_optimization.cc
index 1f7207158c1..813bed60033 100644
--- a/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_graph_optimization.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/hal/hardware/ascend_graph_optimization.cc
@@ -122,7 +122,6 @@ void AscendGraphOptimization::OptimizeExecutionOrder(const KernelGraphPtr &graph
   }
 #endif
 
-  // TODO(sida): do not hide nop op in kernel_by_kernel mode
   if (graph->is_executing_sink()) {
     opt::HideNopNode(graph.get());
   }
diff --git a/mindspore/ccsrc/plugin/device/ascend/kernel/rts/label_set.cc b/mindspore/ccsrc/plugin/device/ascend/kernel/rts/label_set.cc
index 275ce7b60eb..19873f1e1b3 100644
--- a/mindspore/ccsrc/plugin/device/ascend/kernel/rts/label_set.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/kernel/rts/label_set.cc
@@ -43,8 +43,8 @@ bool LabelSetKernel::Init(const AnfNodePtr &anf_node) {
   return true;
 }
 
-bool LabelSetKernel::Launch(const std::vector<AddressPtr> & /*inputs*/, const std::vector<AddressPtr> & /*workspace*/,
-                            const std::vector<AddressPtr> & /*outputs*/, void * /*stream_ptr*/) {
+bool LabelSetKernel::Launch(const std::vector<AddressPtr> &, const std::vector<AddressPtr> &,
+                            const std::vector<AddressPtr> &, void *) {
   MS_LOG(INFO) << "LabelSetKernel launch";
   return true;
 }
diff --git a/mindspore/ccsrc/plugin/device/ascend/kernel/rts/memcpy_async.cc b/mindspore/ccsrc/plugin/device/ascend/kernel/rts/memcpy_async.cc
index 77143e03d92..f92ae5a34ec 100644
--- a/mindspore/ccsrc/plugin/device/ascend/kernel/rts/memcpy_async.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/kernel/rts/memcpy_async.cc
@@ -38,7 +38,7 @@ MemCpyAsyncKernel::MemCpyAsyncKernel() {}
 
 MemCpyAsyncKernel::~MemCpyAsyncKernel() {}
 
-bool MemCpyAsyncKernel::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> & /* workspace */,
+bool MemCpyAsyncKernel::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
                                const std::vector<AddressPtr> &outputs, void *stream_ptr) {
   if (inputs.size() != 1) {
     MS_LOG(ERROR) << "inputs size is not one";
diff --git a/mindspore/ccsrc/plugin/device/ascend/kernel/rts/tensor_copy_slices.cc b/mindspore/ccsrc/plugin/device/ascend/kernel/rts/tensor_copy_slices.cc
index 86820fabeb3..b2eb8b84f3f 100644
--- a/mindspore/ccsrc/plugin/device/ascend/kernel/rts/tensor_copy_slices.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/kernel/rts/tensor_copy_slices.cc
@@ -36,7 +36,7 @@ TensorCopySlices::TensorCopySlices() {}
 
 TensorCopySlices::~TensorCopySlices() {}
 
-bool TensorCopySlices::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> & /*workspace*/,
+bool TensorCopySlices::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
                               const std::vector<AddressPtr> &outputs, void *stream_ptr) {
   if (inputs.size() != 2) {
     MS_LOG(ERROR) << "inputs size is not 2";
diff --git a/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/dynamic_tbe_kernel_mod.cc b/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/dynamic_tbe_kernel_mod.cc
index ff198a298f5..54fddf30ade 100644
--- a/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/dynamic_tbe_kernel_mod.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/dynamic_tbe_kernel_mod.cc
@@ -260,12 +260,12 @@ bool DynamicTbeKernelMod::Launch(const std::vector<AddressPtr> &inputs, const st
   // pack all addresses into a vector.
   std::vector<void *> runtimeargs;
   (void)std::transform(std::begin(inputs), std::end(inputs), std::back_inserter(runtimeargs),
-                       [](const AddressPtr &input) -> void * { return input->addr; });
+                       [](const AddressPtr &input) { return input->addr; });
   (void)std::transform(std::begin(outputs), std::end(outputs), std::back_inserter(runtimeargs),
-                       [](const AddressPtr &output) -> void * { return output->addr; });
+                       [](const AddressPtr &output) { return output->addr; });
   if (!workspace.empty()) {
     (void)std::transform(std::begin(workspace), std::end(workspace), std::back_inserter(runtimeargs),
-                         [](const AddressPtr &addr) -> void * { return addr->addr; });
+                         [](const AddressPtr &addr) { return addr->addr; });
   }
 
   if (!tiling_data_.empty() && tiling_data_ptr_ != nullptr) {
diff --git a/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/tbe_json/fusion_tbe_json_creator.cc b/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/tbe_json/fusion_tbe_json_creator.cc
index b768ce1b05b..0294641294f 100644
--- a/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/tbe_json/fusion_tbe_json_creator.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/kernel/tbe/tbe_json/fusion_tbe_json_creator.cc
@@ -303,8 +303,6 @@ std::vector<size_t> FusionBuildTbeJsonCreator::GetDescOutputIndex(const std::vec
 
 bool FusionBuildTbeJsonCreator::AttrsJsonPostProcessing(const AnfNodePtr &anf_node, const OpInfoPtr &op_info_ptr,
                                                         nlohmann::json *attrs_json) {
-  // just keep it
-  // tbe::TbeAdapter::CastAttrJsonPost(anf_node, attrs_json);
   return true;
 }
 
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/batchmatmul_fusedmuladd_fusion_pass.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/batchmatmul_fusedmuladd_fusion_pass.cc
index 0bc87f70902..e399c50bc5a 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/batchmatmul_fusedmuladd_fusion_pass.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/batchmatmul_fusedmuladd_fusion_pass.cc
@@ -23,8 +23,7 @@
 
 namespace mindspore {
 namespace opt {
-void BatchMatmulFusedMulAddFusionPass::MatchBatchMatmulFusedMulAdd(const CNodePtr &cnode,
-                                                                   const session::KernelGraph & /* kernel_graph */,
+void BatchMatmulFusedMulAddFusionPass::MatchBatchMatmulFusedMulAdd(const CNodePtr &cnode, const session::KernelGraph &,
                                                                    FusedNodeRecord *candidate_fusion) {
   MS_EXCEPTION_IF_NULL(cnode);
   MS_EXCEPTION_IF_NULL(candidate_fusion);
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/bnupdate_eltwise_eltwise_fusion_pass.h b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/bnupdate_eltwise_eltwise_fusion_pass.h
index c3acbfc0bed..cdc032d3b49 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/bnupdate_eltwise_eltwise_fusion_pass.h
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/bnupdate_eltwise_eltwise_fusion_pass.h
@@ -29,7 +29,7 @@ namespace mindspore {
 namespace opt {
 class BnupdateEltwiseEltwiseFusionPass : public FusionBasePass {
  public:
-  explicit BnupdateEltwiseEltwiseFusionPass(FusionIdAllocatorPtr idAllocator)
+  explicit BnupdateEltwiseEltwiseFusionPass(const FusionIdAllocatorPtr &idAllocator)
       : FusionBasePass("BnupdateEltwiseEltwiseFusionPass", idAllocator) {
     PassSwitchManager::GetInstance().RegistLicPass(name(), OptPassEnum::BnupdateEltwiseEltwiseFusionPass);
   }
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/conv2dbackprop_eltwise_fusion_pass.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/conv2dbackprop_eltwise_fusion_pass.cc
index 6dbd350db57..9fda5cb15a2 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/conv2dbackprop_eltwise_fusion_pass.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/conv2dbackprop_eltwise_fusion_pass.cc
@@ -24,7 +24,7 @@
 namespace mindspore {
 namespace opt {
 void Conv2DBackpropEltwiseFusionPass::MatchConv2DBackpropInputEltwise(const CNodePtr &cnode,
-                                                                      const session::KernelGraph & /* kernel_graph */,
+                                                                      const session::KernelGraph &,
                                                                       FusedNodeRecord *candidate_fusion) {
   MS_EXCEPTION_IF_NULL(cnode);
   MS_EXCEPTION_IF_NULL(candidate_fusion);
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/depthwiseconv_eltwise_fusion_pass.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/depthwiseconv_eltwise_fusion_pass.cc
index 62b8d19f5ce..48c0ea7eddd 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/depthwiseconv_eltwise_fusion_pass.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/depthwiseconv_eltwise_fusion_pass.cc
@@ -24,8 +24,7 @@
 
 namespace mindspore {
 namespace opt {
-void DepthwiseConvEltwiseFusionPass::MatchDepthwiseConvRelu(const CNodePtr &cnode,
-                                                            const session::KernelGraph & /* kernel_graph */,
+void DepthwiseConvEltwiseFusionPass::MatchDepthwiseConvRelu(const CNodePtr &cnode, const session::KernelGraph &,
                                                             FusedNodeRecord *candidate_fusion, bool is_order) {
   MS_EXCEPTION_IF_NULL(cnode);
   MS_EXCEPTION_IF_NULL(candidate_fusion);
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/matmul_confusiontranspose_fusion_pass.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/matmul_confusiontranspose_fusion_pass.cc
index 966982ebf5f..5fad322b1aa 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/matmul_confusiontranspose_fusion_pass.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/buffer_fusion/matmul_confusiontranspose_fusion_pass.cc
@@ -28,7 +28,7 @@ constexpr auto kAttrTransposeX2 = "transpose_x2";
 }  // namespace
 
 void MatmulConfusionTranposeFusionPass::MatchMatmulConfusionTranpose(const CNodePtr &cnode,
-                                                                     const session::KernelGraph & /* kernel_graph */,
+                                                                     const session::KernelGraph &,
                                                                      FusedNodeRecord *candidate_fusion) {
   MS_EXCEPTION_IF_NULL(cnode);
   MS_EXCEPTION_IF_NULL(candidate_fusion);
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fission/dynamic_rnn_grad_fission_v2.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fission/dynamic_rnn_grad_fission_v2.cc
index 39eaf285662..af644037c06 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fission/dynamic_rnn_grad_fission_v2.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fission/dynamic_rnn_grad_fission_v2.cc
@@ -564,11 +564,9 @@ AnfNodePtr DynamicRnnGradFissionV2::CreateConcatNodeT1(const FuncGraphPtr &func_
     auto reshape_in0 = NewCNode(reshape_inputs, func_graph);
     std::vector<size_t> shape = {origin_input0_shape[kDim0] * origin_input0_shape[kDim1], origin_input0_shape[kDim2]};
     common::AnfAlgo::SetOutputInferTypeAndShape({origin_input0_dtype}, {shape}, reshape_in0.get());
-    // t_size * batch_size, input_size (t_size = 1)
-    concat_inputs.push_back(reshape_in0);
+    (void)concat_inputs.emplace_back(reshape_in0);
   } else {
-    // t_size, batch_size, input_size (t_size = 1)
-    concat_inputs.push_back(origin_input0);
+    (void)concat_inputs.emplace_back(origin_input0);
   }
 
   auto origin_input4 = dynamic_rnn_grad_cnode->input(kIndex5);
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/matmul_biasadd_fusion.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/matmul_biasadd_fusion.cc
index 60e1e7827f6..d12f70d7e3e 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/matmul_biasadd_fusion.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/matmul_biasadd_fusion.cc
@@ -36,10 +36,10 @@ AnfNodePtr MatmulBiasaddFusion::CreateMatmulWithBias(const FuncGraphPtr &graph,
   }
 
   std::vector<AnfNodePtr> inputs;
-  inputs.emplace_back(NewValueNode(std::make_shared<Primitive>(prim::kPrimMatMul->name())));
-  inputs.emplace_back(GetAnfNodeByVar(equiv, x0_));
-  inputs.emplace_back(GetAnfNodeByVar(equiv, x1_));
-  inputs.emplace_back(GetAnfNodeByVar(equiv, x2_));
+  (void)inputs.emplace_back(NewValueNode(std::make_shared<Primitive>(prim::kPrimMatMul->name())));
+  (void)inputs.emplace_back(GetAnfNodeByVar(equiv, x0_));
+  (void)inputs.emplace_back(GetAnfNodeByVar(equiv, x1_));
+  (void)inputs.emplace_back(GetAnfNodeByVar(equiv, x2_));
   auto new_node = NewCNode(inputs, graph);
   MS_EXCEPTION_IF_NULL(new_node);
   new_node->set_scope(node->scope());
diff --git a/mindspore/ccsrc/plugin/device/ascend/optimizer/mindir/all_to_all_unify_mindir.cc b/mindspore/ccsrc/plugin/device/ascend/optimizer/mindir/all_to_all_unify_mindir.cc
index 1088fe444a6..af743cb8795 100644
--- a/mindspore/ccsrc/plugin/device/ascend/optimizer/mindir/all_to_all_unify_mindir.cc
+++ b/mindspore/ccsrc/plugin/device/ascend/optimizer/mindir/all_to_all_unify_mindir.cc
@@ -180,7 +180,7 @@ CNodePtr AllToAllUnifyMindIR::CreateConcatNode(const FuncGraphPtr &graph, const
     max_shape[LongToSize(concat_dim)] *= split_count;
     min_shape[LongToSize(concat_dim)] *= split_count;
     ShapeVector new_shape;
-    std::transform(single_shape.begin(), single_shape.end(), std::back_inserter(new_shape), SizeToLong);
+    (void)std::transform(single_shape.begin(), single_shape.end(), std::back_inserter(new_shape), SizeToLong);
     common::AnfAlgo::SetOutputTypeAndDetailShape({common::AnfAlgo::GetOutputInferDataType(all_to_all_v_outputs[0], 0)},
                                                  {std::make_shared<abstract::Shape>(new_shape, min_shape, max_shape)},
                                                  concat.get());