diff --git a/mindspore/ccsrc/debug/anf_ir_dump.cc b/mindspore/ccsrc/debug/anf_ir_dump.cc
index e977084ab80d18da8c9c0a67e56965ed6eb09760..1fd3096e7c59ce7fdecab9d26e4fea8ab3a71fba 100644
--- a/mindspore/ccsrc/debug/anf_ir_dump.cc
+++ b/mindspore/ccsrc/debug/anf_ir_dump.cc
@@ -91,6 +91,14 @@ void PrintNodeInputType(std::ostringstream &buffer, const AnfNodePtr &nd) {
   }
 }
 
+void PrintInputAndOutputInferType(std::ostringstream &buffer, const AnfNodePtr &nd) {
+  buffer << "      : (";
+  PrintNodeInputType(buffer, nd);
+  buffer << ") -> (";
+  PrintNodeOutputType(buffer, nd);
+  buffer << ")";
+}
+
 struct SubGraphIRInfo {
   int32_t local_var;
   std::ostringstream buffer;
diff --git a/mindspore/ccsrc/debug/anf_ir_dump.h b/mindspore/ccsrc/debug/anf_ir_dump.h
index a53888348d01853123a0567cbf724100a3ac0228..9fa447046f3a96270084020d19a6daa2e4c82bb3 100644
--- a/mindspore/ccsrc/debug/anf_ir_dump.h
+++ b/mindspore/ccsrc/debug/anf_ir_dump.h
@@ -18,12 +18,14 @@
 
 #include <string>
 #include <vector>
+#include "ir/dtype/type.h"
 #include "ir/anf.h"
 
 namespace mindspore {
 constexpr char PARALLEL_STRATEGY[] = "strategy";
 void DumpIR(const std::string &filename, const FuncGraphPtr &func_graph, bool dump_full_name = false);
-
+void PrintInputAndOutputInferType(std::ostringstream &buffer, const AnfNodePtr &nd);
+const std::string ToShortString(const TypeId &typeId);
 }  // namespace mindspore
 
 #endif  // MINDSPORE_CCSRC_DEBUG_ANF_IR_DUMP_H_
diff --git a/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc b/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
index 36c622cbc5218a3958f3c880fce2285e450c404a..549b97b61bed7ad15b784a7c0174a647c4342f16 100644
--- a/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
+++ b/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
@@ -18,14 +18,15 @@
 #include <string>
 #include <vector>
 #include <memory>
-#include <set>
-#include <unordered_map>
+#include <utility>
+#include <map>
 #include "kernel/oplib/oplib.h"
 #include "kernel/kernel_query.h"
 #include "session/anf_runtime_algorithm.h"
 #include "kernel/kernel_build_info.h"
 #include "utils/context/ms_context.h"
 #include "operator/ops.h"
+#include "debug/anf_ir_dump.h"
 
 namespace mindspore {
 namespace device {
@@ -180,6 +181,7 @@ void SetTensorDeviceInfo(const kernel::KernelBuildInfo &selected_kernel_info, co
 }
 
 void AddSupportMixedPrecisionDataTypeIndex(TypeId data_type, std::vector<int> *support_index) {
+  MS_EXCEPTION_IF_NULL(support_index);
   int index = kUnSupportMixedDataTypeIndex;
   switch (data_type) {
     case kNumberTypeFloat16:
@@ -197,6 +199,7 @@ void AddSupportMixedPrecisionDataTypeIndex(TypeId data_type, std::vector<int> *s
 
 void AddKernelInputSupportDataType(const kernel::KernelBuildInfo &kernel_build_info, size_t input_index,
                                    std::vector<int> *support_datatype_index, std::vector<TypeId> *support_datatype) {
+  MS_EXCEPTION_IF_NULL(support_datatype);
   auto data_type = kernel_build_info.GetInputDeviceType(input_index);
   support_datatype->push_back(data_type);
   AddSupportMixedPrecisionDataTypeIndex(data_type, support_datatype_index);
@@ -204,6 +207,7 @@ void AddKernelInputSupportDataType(const kernel::KernelBuildInfo &kernel_build_i
 
 void AddKernelOutputSupportDataType(const kernel::KernelBuildInfo &kernel_build_info, size_t output_index,
                                     std::vector<int> *support_datatype_index, std::vector<TypeId> *support_datatype) {
+  MS_EXCEPTION_IF_NULL(support_datatype);
   auto data_type = kernel_build_info.GetOutputDeviceType(output_index);
   support_datatype->push_back(data_type);
   AddSupportMixedPrecisionDataTypeIndex(data_type, support_datatype_index);
@@ -238,8 +242,8 @@ void AddNodeOutputDataType(const CNodePtr &kernel_node, size_t output_index,
 
 void CheckDataTypeInputs(const std::vector<int> &node_mix_precision_datatype_index,
                          const std::vector<TypeId> &node_mix_precision_datatype,
-                         const std::unordered_map<size_t, std::vector<TypeId>> &kernel_support_datatypes,
-                         std::unordered_map<size_t, std::vector<int>> *kernel_match_datatype_idx) {
+                         const std::map<size_t, std::vector<TypeId>> &kernel_support_datatypes,
+                         std::map<size_t, std::vector<int>> *kernel_match_datatype_idx) {
   if (node_mix_precision_datatype_index.size() != node_mix_precision_datatype.size()) {
     MS_LOG(EXCEPTION) << "node datatype index size " << node_mix_precision_datatype_index.size() << " != datatype size "
                       << node_mix_precision_datatype.size();
@@ -251,10 +255,11 @@ void CheckDataTypeInputs(const std::vector<int> &node_mix_precision_datatype_ind
   }
 }
 
-int RaiseDataTypePrecisionSelect(const std::vector<int> &node_mix_precision_datatype_index,
-                                 const std::vector<TypeId> &node_mix_precision_datatype,
-                                 const std::unordered_map<size_t, std::vector<TypeId>> &kernel_support_datatypes,
-                                 std::unordered_map<size_t, std::vector<int>> *kernel_match_datatype_idx) {
+bool RaiseDataTypePrecisionSelect(const std::vector<int> &node_mix_precision_datatype_index,
+                                  const std::vector<TypeId> &node_mix_precision_datatype,
+                                  const std::map<size_t, std::vector<TypeId>> &kernel_support_datatypes,
+                                  std::map<size_t, std::vector<int>> *kernel_match_datatype_idx) {
+  MS_EXCEPTION_IF_NULL(kernel_match_datatype_idx);
   CheckDataTypeInputs(node_mix_precision_datatype_index, node_mix_precision_datatype, kernel_support_datatypes,
                       kernel_match_datatype_idx);
   for (size_t i = 0; i < node_mix_precision_datatype_index.size(); ++i) {
@@ -289,40 +294,16 @@ int RaiseDataTypePrecisionSelect(const std::vector<int> &node_mix_precision_data
       }
     }
   }
-
-  if (kernel_match_datatype_idx->size() >= 1) {
-    return SizeToInt(kernel_match_datatype_idx->begin()->first);
-  }
-  return -1;
-}
-
-int GetMinReducePrecisionCountIndex(std::unordered_map<size_t, std::vector<int>> *kernel_match_datatype_idx,
-                                    const std::unordered_map<size_t, size_t> &precision_reduce_count) {
-  int selected_index = -1;
-  size_t min_reduce_precision_count = kMaxCount;
-  auto iter = kernel_match_datatype_idx->begin();
-  while (iter != kernel_match_datatype_idx->end()) {
-    auto find_iter = precision_reduce_count.find(iter->first);
-    if (find_iter == precision_reduce_count.end()) {
-      continue;
-    }
-    if (min_reduce_precision_count > find_iter->second) {
-      selected_index = SizeToInt(iter->first);
-      min_reduce_precision_count = find_iter->second;
-    }
-    ++iter;
-  }
-  return selected_index;
+  return !kernel_match_datatype_idx->empty();
 }
 
-int RaiseOrReduceDataTypePrecisionSelect(
-  const std::vector<int> &node_mix_precision_datatype_index, const std::vector<TypeId> &node_mix_precision_datatype,
-  const std::unordered_map<size_t, std::vector<TypeId>> &kernel_support_datatypes,
-  std::unordered_map<size_t, std::vector<int>> *kernel_match_datatype_idx) {
+bool RaiseOrReduceDataTypePrecisionSelect(const std::vector<int> &node_mix_precision_datatype_index,
+                                          const std::vector<TypeId> &node_mix_precision_datatype,
+                                          const std::map<size_t, std::vector<TypeId>> &kernel_support_datatypes,
+                                          std::map<size_t, std::vector<int>> *kernel_match_datatype_idx) {
+  MS_EXCEPTION_IF_NULL(kernel_match_datatype_idx);
   CheckDataTypeInputs(node_mix_precision_datatype_index, node_mix_precision_datatype, kernel_support_datatypes,
                       kernel_match_datatype_idx);
-  // reduce / raise
-  std::unordered_map<size_t, size_t> precision_reduce_count;
   for (size_t i = 0; i < node_mix_precision_datatype_index.size(); ++i) {
     if (node_mix_precision_datatype[i] == kTypeUnknown) {
       continue;
@@ -351,26 +332,18 @@ int RaiseOrReduceDataTypePrecisionSelect(
       if (datatype_indexes[i] == kUnSupportMixedDataTypeIndex) {
         iter = kernel_match_datatype_idx->erase(iter);
       } else {
-        if (datatype_indexes[i] < node_mix_precision_datatype_index[i]) {
-          auto count_iter = precision_reduce_count.find(iter->first);
-          if (count_iter != precision_reduce_count.end()) {
-            count_iter->second++;
-          } else {
-            precision_reduce_count[iter->first] = 1;
-          }
-        }
         ++iter;
       }
     }
   }
-
-  return GetMinReducePrecisionCountIndex(kernel_match_datatype_idx, precision_reduce_count);
+  return !kernel_match_datatype_idx->empty();
 }
 
 void AddNodeAndKernelDataType(const CNodePtr &kernel_node, const kernel::KernelBuildInfo &kernel_build_info,
                               std::vector<int> *support_indexes, std::vector<TypeId> *node_mix_precision_datatype,
                               std::vector<TypeId> *support_datatypes,
                               std::vector<int> *node_mix_precision_datatype_index) {
+  MS_EXCEPTION_IF_NULL(node_mix_precision_datatype);
   bool add_node_datatype_flag = false;
   if (node_mix_precision_datatype->size() == 0) {
     add_node_datatype_flag = true;
@@ -390,104 +363,58 @@ void AddNodeAndKernelDataType(const CNodePtr &kernel_node, const kernel::KernelB
   }
 }
 
-int PrecisionReduce(const std::vector<int> &node_mix_precision_datatype_index,
-                    const std::vector<TypeId> &node_mix_precision_datatype,
-                    const std::unordered_map<size_t, std::vector<TypeId>> &kernel_support_datatype,
-                    std::unordered_map<size_t, std::vector<int>> *kernel_match_datatype_idx, bool *precision_reduce) {
+void PrecisionReduce(const std::vector<int> &node_mix_precision_datatype_index,
+                     const std::vector<TypeId> &node_mix_precision_datatype,
+                     const std::map<size_t, std::vector<TypeId>> &kernel_support_datatype,
+                     std::map<size_t, std::vector<int>> *kernel_match_datatype_idx, bool *precision_reduce) {
+  MS_EXCEPTION_IF_NULL(kernel_match_datatype_idx);
   auto context_ptr = MsContext::GetInstance();
   MS_EXCEPTION_IF_NULL(context_ptr);
   MS_EXCEPTION_IF_NULL(precision_reduce);
-  std::unordered_map<size_t, std::vector<int>> kernel_match_datatype_idx_copy = *kernel_match_datatype_idx;
+  std::map<size_t, std::vector<int>> kernel_match_datatype_idx_copy = *kernel_match_datatype_idx;
   // raise precision
-  int selected_index = RaiseDataTypePrecisionSelect(node_mix_precision_datatype_index, node_mix_precision_datatype,
-                                                    kernel_support_datatype, kernel_match_datatype_idx);
-  if (selected_index != -1) {
-    int max_match = 0;
-    auto iter = kernel_match_datatype_idx->begin();
-    int match_count = 0;
-    while (iter != kernel_match_datatype_idx->end()) {
-      auto kernel_datatypes = kernel_support_datatype.find(iter->first);
-      if (kernel_datatypes == kernel_support_datatype.end()) {
-        MS_LOG(EXCEPTION) << "Can not find kernel index" << iter->first << "'s datatype.";
-      }
-      if (kernel_datatypes->second.size() < node_mix_precision_datatype.size()) {
-        MS_LOG(EXCEPTION) << "Kernel datatype size is not equal to node datatype size!";
-      }
-      for (size_t i = 0; i < node_mix_precision_datatype.size(); ++i) {
-        if (node_mix_precision_datatype[i] == kernel_datatypes->second[i]) {
-          ++match_count;
-        }
-      }
-      if (match_count > max_match) {
-        selected_index = SizeToInt(iter->first);
-      }
-      ++iter;
-    }
+  bool selected_ret = RaiseDataTypePrecisionSelect(node_mix_precision_datatype_index, node_mix_precision_datatype,
+                                                   kernel_support_datatype, kernel_match_datatype_idx);
+  if (selected_ret) {
+    return;
   }
-  if (selected_index == -1 && context_ptr->enable_reduce_precision()) {
-    selected_index =
-      RaiseOrReduceDataTypePrecisionSelect(node_mix_precision_datatype_index, node_mix_precision_datatype,
-                                           kernel_support_datatype, &kernel_match_datatype_idx_copy);
-    if (selected_index != -1) {
-      *precision_reduce = true;
-    }
+  if (context_ptr->enable_reduce_precision()) {
+    selected_ret = RaiseOrReduceDataTypePrecisionSelect(node_mix_precision_datatype_index, node_mix_precision_datatype,
+                                                        kernel_support_datatype, &kernel_match_datatype_idx_copy);
+  }
+  if (selected_ret) {
+    *precision_reduce = true;
+    *kernel_match_datatype_idx = kernel_match_datatype_idx_copy;
   }
-  return selected_index;
 }
 
-void SelectKernel(const CNodePtr &kernel_node, bool precision_reduce, const std::vector<TypeId> &node_datatype,
-                  const std::shared_ptr<kernel::KernelBuildInfo> &selected_kernel_info_ptr) {
-  MS_EXCEPTION_IF_NULL(selected_kernel_info_ptr);
+void PrintRaiseOrReducePrecisionSelectedInfo(const CNodePtr &cnode,
+                                             const std::shared_ptr<kernel::KernelBuildInfo> &selected_kernel_build_info,
+                                             bool precision_reduce) {
+  MS_EXCEPTION_IF_NULL(selected_kernel_build_info);
+  MS_EXCEPTION_IF_NULL(cnode);
+  std::ostringstream buffer;
+  buffer << cnode->DebugString();
   if (precision_reduce) {
-    std::ostringstream datatype;
-    size_t input_num = selected_kernel_info_ptr->GetInputNum();
-    size_t i = 0;
-    datatype << "(";
-    for (; i < input_num && i < node_datatype.size(); ++i) {
-      datatype << static_cast<int>(node_datatype[i]);
-      if (i < input_num - 1) {
-        datatype << ", ";
-      }
-    }
-    datatype << ") -> (";
-    for (; i < node_datatype.size(); ++i) {
-      datatype << static_cast<int>(node_datatype[i]);
-      if (i < node_datatype.size() - 1) {
-        datatype << ", ";
-      }
-    }
-    datatype << ")";
-    MS_LOG(WARNING) << kernel_node->DebugString() << " reduce precision, node datatype: " << datatype.str()
-                    << ", select kernel: %s" << selected_kernel_info_ptr->ToString();
+    buffer << " reduce precision, node datatype: ";
+  } else {
+    buffer << " raise precision, node datatype: ";
   }
-  AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_info_ptr, kernel_node.get());
-  // Set format and data type for input tensor.
-  SetTensorDeviceInfo(*selected_kernel_info_ptr, kernel_node);
+  PrintInputAndOutputInferType(buffer, cnode);
+  buffer << ", select kernel:" << selected_kernel_build_info->ToString();
+  MS_LOG(INFO) << buffer.str();
 }
-}  // namespace
 
-void SelectKernelInfo(const CNodePtr &kernel_node) {
-  std::vector<std::shared_ptr<kernel::KernelBuildInfo>> kernel_info_list;
-  MS_EXCEPTION_IF_NULL(kernel_node);
-  kernel::KernelQuery(kernel_node, &kernel_info_list);
+std::shared_ptr<kernel::KernelBuildInfo> ChooseMatchedKernelInfo(
+  const CNodePtr &kernel_node, const std::vector<std::shared_ptr<kernel::KernelBuildInfo>> &kernel_info_list) {
+  if (kernel_info_list.empty()) {
+    return nullptr;
+  }
   std::vector<int> most_match_counts = {-1, -1, -1, -1};
-  int selected_index = -1;
-  std::unordered_map<size_t, std::vector<int>> kernel_match_datatype_idx;
-  std::unordered_map<size_t, std::vector<TypeId>> kernel_support_datatype;
-  std::vector<int> node_mix_precision_datatype_index;
-  std::vector<TypeId> node_mix_precision_datatype;
+  size_t selected_index = 0;
   for (size_t info_index = 0; info_index < kernel_info_list.size(); ++info_index) {
     std::vector<int> cur_kernel_info_match_counts = {0, 0, 0, 0};
     auto kernel_build_info = *(kernel_info_list[info_index]);
-    std::vector<int> support_indexes;
-    std::vector<TypeId> support_datatypes;
-    AddNodeAndKernelDataType(kernel_node, kernel_build_info, &support_indexes, &node_mix_precision_datatype,
-                             &support_datatypes, &node_mix_precision_datatype_index);
-    kernel_match_datatype_idx[info_index] = support_indexes;
-    kernel_support_datatype[info_index] = support_datatypes;
-    if (!MatchInferOutputDataType(kernel_node, kernel_build_info)) {
-      continue;
-    }
     std::shared_ptr<kernel::KernelBuildInfo> kernel_info_ptr = kernel_info_list[info_index];
     UpdateCurMatchCounts(*kernel_info_ptr, kernel_node, &cur_kernel_info_match_counts);
     // Currently the selection policy is the match format count first, and then is datatype counts.
@@ -495,22 +422,77 @@ void SelectKernelInfo(const CNodePtr &kernel_node) {
       selected_index = SizeToInt(info_index);
     }
   }
+  return kernel_info_list[selected_index];
+}
 
-  bool precision_reduce = false;
-  if (selected_index == -1) {
-    selected_index = PrecisionReduce(node_mix_precision_datatype_index, node_mix_precision_datatype,
-                                     kernel_support_datatype, &kernel_match_datatype_idx, &precision_reduce);
+std::vector<std::shared_ptr<kernel::KernelBuildInfo>> GetAllMatchedFilteredKernelInfo(
+  const CNodePtr &cnode, const std::vector<std::shared_ptr<kernel::KernelBuildInfo>> &kernel_info_list) {
+  std::vector<std::shared_ptr<kernel::KernelBuildInfo>> result;
+  for (const auto &kernel_build_info : kernel_info_list) {
+    MS_EXCEPTION_IF_NULL(kernel_build_info);
+    if (!MatchInferOutputDataType(cnode, *kernel_build_info)) {
+      continue;
+    }
+    result.push_back(kernel_build_info);
   }
-  if (selected_index == -1) {
-    MS_LOG(EXCEPTION) << kernel_node->DebugString() << "Cannot find valid kernel Info !";
+  return result;
+}
+
+std::vector<std::shared_ptr<kernel::KernelBuildInfo>> FilterRaisedOrReducePrecisionMatchedKernelInfo(
+  const CNodePtr &cnode, const std::vector<std::shared_ptr<kernel::KernelBuildInfo>> &kernel_info_list,
+  bool *precision_reduce) {
+  std::vector<std::shared_ptr<kernel::KernelBuildInfo>> filtered_kernel_info_list;
+  std::map<size_t, std::vector<int>> kernel_match_datatype_idx;
+  std::map<size_t, std::vector<TypeId>> kernel_support_datatype;
+  std::vector<int> node_mix_precision_datatype_index;
+  std::vector<TypeId> node_mix_precision_datatype;
+  for (size_t info_index = 0; info_index < kernel_info_list.size(); ++info_index) {
+    std::vector<int> support_indexes;
+    std::vector<TypeId> support_datatypes;
+    MS_EXCEPTION_IF_NULL(kernel_info_list[info_index]);
+    AddNodeAndKernelDataType(cnode, *kernel_info_list[info_index], &support_indexes, &node_mix_precision_datatype,
+                             &support_datatypes, &node_mix_precision_datatype_index);
+    kernel_match_datatype_idx[info_index] = support_indexes;
+    kernel_support_datatype[info_index] = support_datatypes;
   }
-  auto index = IntToSize(selected_index);
-  if (index >= kernel_info_list.size()) {
-    MS_LOG(EXCEPTION) << "index outof range";
+  PrecisionReduce(node_mix_precision_datatype_index, node_mix_precision_datatype, kernel_support_datatype,
+                  &kernel_match_datatype_idx, precision_reduce);
+  std::transform(
+    kernel_match_datatype_idx.begin(), kernel_match_datatype_idx.end(), std::back_inserter(filtered_kernel_info_list),
+    [&](const std::pair<size_t, std::vector<int>> &matched_idx) -> std::shared_ptr<kernel::KernelBuildInfo> {
+      return kernel_info_list[matched_idx.first];
+    });
+  return filtered_kernel_info_list;
+}
+}  // namespace
+
+void SelectKernelInfo(const CNodePtr &kernel_node) {
+  std::vector<std::shared_ptr<kernel::KernelBuildInfo>> kernel_info_list;
+  MS_EXCEPTION_IF_NULL(kernel_node);
+  bool precision_reduce = false;
+  std::shared_ptr<kernel::KernelBuildInfo> selected_kernel_info = nullptr;
+  kernel::KernelQuery(kernel_node, &kernel_info_list);
+  // filter kernel info matched with me infered type
+  auto filtered_kernel_info_list = GetAllMatchedFilteredKernelInfo(kernel_node, kernel_info_list);
+  if (!filtered_kernel_info_list.empty()) {
+    selected_kernel_info = ChooseMatchedKernelInfo(kernel_node, filtered_kernel_info_list);
+  } else {
+    // selected kernel info using raised precision or reduce precision
+    filtered_kernel_info_list =
+      FilterRaisedOrReducePrecisionMatchedKernelInfo(kernel_node, kernel_info_list, &precision_reduce);
+    selected_kernel_info = ChooseMatchedKernelInfo(kernel_node, filtered_kernel_info_list);
+    if (selected_kernel_info == nullptr) {
+      std::ostringstream buffer;
+      PrintInputAndOutputInferType(buffer, kernel_node);
+      MS_LOG(EXCEPTION) << "The node [" << kernel_node->DebugString()
+                        << "] cannot find valid kernel info, not supported the type" << buffer.str();
+    } else {
+      PrintRaiseOrReducePrecisionSelectedInfo(kernel_node, selected_kernel_info, precision_reduce);
+    }
   }
-  std::shared_ptr<kernel::KernelBuildInfo> selected_kernel_info_ptr = kernel_info_list[index];
-  MS_EXCEPTION_IF_NULL(selected_kernel_info_ptr);
-  SelectKernel(kernel_node, precision_reduce, node_mix_precision_datatype, selected_kernel_info_ptr);
+  AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_info, kernel_node.get());
+  // Set format and data type for input tensor.
+  SetTensorDeviceInfo(*selected_kernel_info, kernel_node);
 }
 
 bool CheckKernelAccuracySupported(const CNodePtr &kernel_node,
diff --git a/mindspore/ccsrc/kernel/kernel_build_info.cc b/mindspore/ccsrc/kernel/kernel_build_info.cc
index 038c06d8edcbb12b274cc8421ad36067cee5d733..279a62bad6d6d811059ea68a45024872b364cd65 100644
--- a/mindspore/ccsrc/kernel/kernel_build_info.cc
+++ b/mindspore/ccsrc/kernel/kernel_build_info.cc
@@ -17,6 +17,7 @@
 #include "kernel/kernel_build_info.h"
 #include <algorithm>
 #include "utils/log_adapter.h"
+#include "debug/anf_ir_dump.h"
 namespace mindspore {
 namespace kernel {
 std::string KernelBuildInfo::GetInputFormat(size_t input_index) const {
@@ -82,14 +83,14 @@ std::string KernelBuildInfo::ToString() const {
     if (index != 0) {
       output_buffer << ", ";
     }
-    output_buffer << "<" << static_cast<int>(GetInputDeviceType(index)) << "x" << GetInputFormat(index) << ">";
+    output_buffer << "<" << ToShortString(GetInputDeviceType(index)) << "x" << GetInputFormat(index) << ">";
   }
   output_buffer << ") -> (";
   for (size_t index = 0; index < GetOutputNum(); ++index) {
     if (index != 0) {
       output_buffer << ", ";
     }
-    output_buffer << "<" << static_cast<int>(GetOutputDeviceType(index)) << "x" << GetOutputFormat(index) << ">";
+    output_buffer << "<" << ToShortString(GetOutputDeviceType(index)) << "x" << GetOutputFormat(index) << ">";
   }
   output_buffer << ")";
   return output_buffer.str();