diff --git a/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc b/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
index 922f62329d4..4e56721fe04 100644
--- a/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
+++ b/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
@@ -106,7 +106,7 @@ string GetPriorityMatchFormat(const CNodePtr &cnode) {
 bool PriorityChooseItem(const std::vector<int> &cur_item, std::vector<int> *best_item) {
   MS_EXCEPTION_IF_NULL(best_item);
   if (cur_item.size() != best_item->size()) {
-    MS_LOG(ERROR) << "item size should be same!";
+    MS_LOG(ERROR) << "Item size should be same!";
     return false;
   }
   // Update the best_item by comparing the cur_item and best_item
@@ -280,8 +280,12 @@ bool RaiseDataTypePrecisionSelect(const std::vector<int> &node_mix_precision_dat
 
 bool CanDataTypeReduce(const std::vector<int> &datatype_indexes, int check_index,
                        const std::vector<int> &node_mix_precision_datatype_index) {
-  return datatype_indexes[check_index] != kUnSupportMixedDataTypeIndex &&
-         datatype_indexes[check_index] <= node_mix_precision_datatype_index[check_index];
+  auto check_index_tmp = IntToSize(check_index);
+  if (check_index_tmp < datatype_indexes.size() && check_index_tmp < node_mix_precision_datatype_index.size()) {
+    return datatype_indexes[check_index] != kUnSupportMixedDataTypeIndex &&
+           datatype_indexes[check_index] <= node_mix_precision_datatype_index[check_index];
+  }
+  MS_LOG(EXCEPTION) << "Check index " << check_index << "is outof range";
 }
 
 bool RaiseOrReduceDataTypePrecisionSelect(const std::vector<int> &node_mix_precision_datatype_index,
@@ -300,10 +304,10 @@ bool RaiseOrReduceDataTypePrecisionSelect(const std::vector<int> &node_mix_preci
       if (node_mix_precision_datatype_index[i] == kUnSupportMixedDataTypeIndex) {
         auto find_iter = kernel_support_datatypes.find(iter->first);
         if (find_iter == kernel_support_datatypes.end()) {
-          MS_LOG(EXCEPTION) << "kernel datatype index:%lu can not be found " << iter->first;
+          MS_LOG(EXCEPTION) << "Kernel datatype index:%lu can not be found " << iter->first;
         }
         if (i >= find_iter->second.size()) {
-          MS_LOG(EXCEPTION) << "node index " << i << " >= kernel datatype size " << find_iter->second.size();
+          MS_LOG(EXCEPTION) << "Node index " << i << " >= kernel datatype size " << find_iter->second.size();
         }
         if (node_mix_precision_datatype[i] != find_iter->second[i]) {
           iter = kernel_match_datatype_idx->erase(iter);
@@ -314,7 +318,7 @@ bool RaiseOrReduceDataTypePrecisionSelect(const std::vector<int> &node_mix_preci
       }
       auto datatype_indexes = iter->second;
       if (i >= datatype_indexes.size()) {
-        MS_LOG(EXCEPTION) << "index " << i << "> kernel datatype indexes size " << datatype_indexes.size();
+        MS_LOG(EXCEPTION) << "Index " << i << "> kernel datatype indexes size " << datatype_indexes.size();
       }
       if (!CanDataTypeReduce(datatype_indexes, i, node_mix_precision_datatype_index)) {
         iter = kernel_match_datatype_idx->erase(iter);
@@ -384,9 +388,9 @@ void PrintRaiseOrReducePrecisionSelectedInfo(const CNodePtr &cnode,
   std::ostringstream buffer;
   buffer << cnode->DebugString();
   if (precision_reduce) {
-    buffer << " reduce precision, node datatype: \n";
+    buffer << " Reduce precision, node datatype: \n";
   } else {
-    buffer << " raise precision, node datatype: \n";
+    buffer << " Raise precision, node datatype: \n";
   }
   PrintInputAndOutputInferType(buffer, cnode);
   buffer << ", select kernel:" << selected_kernel_build_info->ToString();
@@ -554,12 +558,12 @@ KernelSelectStatus SelectKernelInfo(const CNodePtr &kernel_node, KernelType kern
   if (select_status == kNoMatched) {
     std::ostringstream buffer;
     PrintInputAndOutputInferType(buffer, kernel_node);
-    MS_LOG(WARNING) << ">>> candidates kernel info list:";
+    MS_LOG(WARNING) << ">>> Candidates kernel info list:";
     for (size_t index = 0; index < kernel_info_list.size(); ++index) {
-      MS_LOG(WARNING) << "kernel [" << index << "] :" << kernel_info_list[index]->ToString();
+      MS_LOG(WARNING) << "Kernel [" << index << "] :" << kernel_info_list[index]->ToString();
     }
     for (size_t index = 0; index < aicpu_kernel_info_list.size(); ++index) {
-      MS_LOG(WARNING) << "kernel [" << (kernel_info_list.size() + index)
+      MS_LOG(WARNING) << "Kernel [" << (kernel_info_list.size() + index)
                       << "] :" << aicpu_kernel_info_list[index]->ToString();
     }
     MS_LOG(WARNING) << " <<<";
diff --git a/mindspore/ccsrc/kernel/kernel_query.cc b/mindspore/ccsrc/kernel/kernel_query.cc
index 6538c28765c..5eda8479170 100755
--- a/mindspore/ccsrc/kernel/kernel_query.cc
+++ b/mindspore/ccsrc/kernel/kernel_query.cc
@@ -32,7 +32,7 @@ void FilterInvalidKernelInfo(const CNodePtr &kernel_node,
   MS_EXCEPTION_IF_NULL(kernel_info_list);
   std::vector<std::shared_ptr<kernel::KernelBuildInfo>> filtered_list;
   (void)std::copy_if(kernel_info_list->begin(), kernel_info_list->end(), std::back_inserter(filtered_list),
-                     [&](const std::shared_ptr<kernel::KernelBuildInfo> &kernel_build_info) {
+                     [&kernel_node](const std::shared_ptr<kernel::KernelBuildInfo> &kernel_build_info) {
                        return AnfAlgo::GetOutputTensorNum(kernel_node) == kernel_build_info->GetOutputNum() &&
                               AnfAlgo::GetInputTensorNum(kernel_node) == kernel_build_info->GetInputNum();
                      });
@@ -43,15 +43,16 @@ void FilterInvalidKernelInfo(const CNodePtr &kernel_node,
     MS_LOG(INFO) << "All kernel Info list does not match any kernel info ";
     for (size_t index = 0; index < kernel_info_list->size(); ++index) {
       std::ostringstream buffer;
-      MS_EXCEPTION_IF_NULL(kernel_info_list->at(index));
-      if (AnfAlgo::GetOutputTensorNum(kernel_node) != kernel_info_list->at(index)->GetOutputNum()) {
+      auto kernel_info = kernel_info_list->at(index);
+      MS_EXCEPTION_IF_NULL(kernel_info);
+      if (AnfAlgo::GetOutputTensorNum(kernel_node) != kernel_info->GetOutputNum()) {
         buffer << "Kernel node's output size [" << AnfAlgo::GetOutputTensorNum(kernel_node) << "]"
-               << " cannot match the kernel's output size [" << kernel_info_list->at(index)->GetOutputNum() << "]";
+               << " cannot match the kernel's output size [" << kernel_info->GetOutputNum() << "]";
       } else {
         buffer << "Kernel node's output size [" << AnfAlgo::GetInputTensorNum(kernel_node) << "]"
-               << " cannot match the kernel's output size [" << kernel_info_list->at(index)->GetInputNum() << "]";
+               << " cannot match the kernel's output size [" << kernel_info->GetInputNum() << "]";
       }
-      MS_LOG(INFO) << "kernel [ " << index << " ] :" << kernel_info_list->at(index)->ToString() << buffer.str();
+      MS_LOG(INFO) << "kernel [ " << index << " ] :" << kernel_info->ToString() << buffer.str();
     }
     kernel_info_list->clear();
     MS_LOG(INFO) << "node" << kernel_node->DebugString() << "'s output size : ["