diff --git a/mindspore/ccsrc/common/trans.cc b/mindspore/ccsrc/common/trans.cc
index ad018c35355ef7791c2a48467f3288daba3d2630..225ec05196fc32e2cbd8ae6401ef2c6d8bae9a64 100644
--- a/mindspore/ccsrc/common/trans.cc
+++ b/mindspore/ccsrc/common/trans.cc
@@ -1,4 +1,3 @@
-
 /**
  * Copyright 2020 Huawei Technologies Co., Ltd
  *
@@ -95,33 +94,53 @@ enum DataTypeTransMode {
   FROM_FLOAT_TO_INT32,
   FROM_FLOAT16_TO_FLOAT,
   FROM_FLOAT16_TO_INT32,
+  FROM_FLOAT16_TO_UINT8,
   FROM_INT32_TO_FLOAT,
   FROM_INT32_TO_FLOAT16,
   FROM_INT32_TO_UINT8,
   FROM_INT32_TO_INT8,
+  FROM_INT32_TO_BOOL,
   FROM_UINT8_TO_FLOAT,
   FROM_UINT8_TO_INT32,
+  FROM_UINT8_TO_FLOAT16,
   FROM_INT8_TO_FLOAT,
+  FROM_INT8_TO_FLOAT16,
   FROM_INT8_TO_INT32,
   FROM_INT64_TO_INT32,
   FROM_UINT16_TO_INT32,
+  FROM_BOOL_TO_FLOAT,
+  FROM_BOOL_TO_INT32,
+  FROM_BOOL_TO_UINT8,
+  FROM_BOOL_TO_FLOAT16,
+  FROM_FLOAT64_TO_FLOAT32,
+  FROM_FLOAT32_TO_FLOAT64
 };
 
 const std::map<std::pair<TypeId, TypeId>, DataTypeTransMode> mode_map{
+  {std::pair<TypeId, TypeId>(kNumberTypeFloat64, kNumberTypeFloat32), FROM_FLOAT64_TO_FLOAT32},
+  {std::pair<TypeId, TypeId>(kNumberTypeFloat32, kNumberTypeFloat64), FROM_FLOAT32_TO_FLOAT64},
   {std::pair<TypeId, TypeId>(kNumberTypeFloat32, kNumberTypeFloat16), FROM_FLOAT_TO_FLOAT16},
   {std::pair<TypeId, TypeId>(kNumberTypeFloat32, kNumberTypeInt32), FROM_FLOAT_TO_INT32},
   {std::pair<TypeId, TypeId>(kNumberTypeFloat16, kNumberTypeFloat32), FROM_FLOAT16_TO_FLOAT},
   {std::pair<TypeId, TypeId>(kNumberTypeFloat16, kNumberTypeInt32), FROM_FLOAT16_TO_INT32},
+  {std::pair<TypeId, TypeId>(kNumberTypeFloat16, kNumberTypeUInt8), FROM_FLOAT16_TO_UINT8},
   {std::pair<TypeId, TypeId>(kNumberTypeInt32, kNumberTypeFloat32), FROM_INT32_TO_FLOAT},
   {std::pair<TypeId, TypeId>(kNumberTypeInt32, kNumberTypeFloat16), FROM_INT32_TO_FLOAT16},
   {std::pair<TypeId, TypeId>(kNumberTypeInt32, kNumberTypeUInt8), FROM_INT32_TO_UINT8},
   {std::pair<TypeId, TypeId>(kNumberTypeInt32, kNumberTypeInt8), FROM_INT32_TO_INT8},
+  {std::pair<TypeId, TypeId>(kNumberTypeInt32, kNumberTypeBool), FROM_INT32_TO_BOOL},
   {std::pair<TypeId, TypeId>(kNumberTypeUInt8, kNumberTypeFloat32), FROM_UINT8_TO_FLOAT},
   {std::pair<TypeId, TypeId>(kNumberTypeUInt8, kNumberTypeInt32), FROM_UINT8_TO_INT32},
+  {std::pair<TypeId, TypeId>(kNumberTypeUInt8, kNumberTypeFloat16), FROM_UINT8_TO_FLOAT16},
   {std::pair<TypeId, TypeId>(kNumberTypeInt8, kNumberTypeFloat32), FROM_INT8_TO_FLOAT},
+  {std::pair<TypeId, TypeId>(kNumberTypeInt8, kNumberTypeFloat16), FROM_INT8_TO_FLOAT16},
   {std::pair<TypeId, TypeId>(kNumberTypeInt8, kNumberTypeInt32), FROM_INT8_TO_INT32},
   {std::pair<TypeId, TypeId>(kNumberTypeInt64, kNumberTypeInt32), FROM_INT64_TO_INT32},
-  {std::pair<TypeId, TypeId>(kNumberTypeUInt16, kNumberTypeInt32), FROM_UINT16_TO_INT32}};
+  {std::pair<TypeId, TypeId>(kNumberTypeUInt16, kNumberTypeInt32), FROM_UINT16_TO_INT32},
+  {std::pair<TypeId, TypeId>(kNumberTypeBool, kNumberTypeInt32), FROM_BOOL_TO_INT32},
+  {std::pair<TypeId, TypeId>(kNumberTypeBool, kNumberTypeFloat), FROM_BOOL_TO_FLOAT},
+  {std::pair<TypeId, TypeId>(kNumberTypeBool, kNumberTypeUInt8), FROM_BOOL_TO_UINT8},
+  {std::pair<TypeId, TypeId>(kNumberTypeBool, kNumberTypeFloat16), FROM_BOOL_TO_FLOAT16}};
 
 void CheckMemSize(const TypeIdArgs &args) {
   auto src_type_size = TypeIdSize(args.host_data_type);
@@ -154,54 +173,46 @@ void TransDataSrc2Fp16(const TypeIdArgs &args, void *dst, const size_t data_size
 }
 
 bool CastKernel(const TypeIdArgs &args, void *dst, const size_t data_size, const DataTypeTransMode mode) {
-  switch (mode) {
-    case FROM_FLOAT_TO_FLOAT16:
-      device::FloatToHalf(dst, args.data, data_size);
-      break;
-    case FROM_INT32_TO_FLOAT16:
-      TransDataSrc2Fp16<int32_t>(args, dst, data_size);
-      break;
-    case FROM_FLOAT16_TO_FLOAT:
-      device::HalfToFloat(dst, args.data, data_size);
-      break;
-    case FROM_FLOAT_TO_INT32:
-      TransDataSrc2Dst<float, int32_t>(args, dst, data_size);
-      break;
-    case FROM_FLOAT16_TO_INT32:
-      TransDataSrc2Dst<float16, int32_t>(args, dst, data_size);
-      break;
-    case FROM_INT32_TO_FLOAT:
-      TransDataSrc2Dst<int32_t, float>(args, dst, data_size);
-      break;
-    case FROM_INT32_TO_INT8:
-      TransDataSrc2Dst<int32_t, int8_t>(args, dst, data_size);
-      break;
-    case FROM_INT32_TO_UINT8:
-      TransDataSrc2Dst<int32_t, uint8_t>(args, dst, data_size);
-      break;
-    case FROM_UINT8_TO_INT32:
-      TransDataSrc2Dst<uint8_t, int32_t>(args, dst, data_size);
-      break;
-    case FROM_UINT8_TO_FLOAT:
-      TransDataSrc2Dst<uint8_t, float>(args, dst, data_size);
-      break;
-    case FROM_INT8_TO_FLOAT:
-      TransDataSrc2Dst<int8_t, float>(args, dst, data_size);
-      break;
-    case FROM_INT8_TO_INT32:
-      TransDataSrc2Dst<int8_t, int32_t>(args, dst, data_size);
-      break;
-    case FROM_INT64_TO_INT32:
-      TransDataSrc2Dst<int64_t, int32_t>(args, dst, data_size);
-      break;
-    case FROM_UINT16_TO_INT32:
-      TransDataSrc2Dst<uint16_t, int32_t>(args, dst, data_size);
-      break;
-    default:
-      MS_LOG(ERROR) << "Unsupported datatype trans";
-      return false;
+  using DtypeKernel = std::function<void(const TypeIdArgs &, void *, const size_t)>;
+  const std::map<DataTypeTransMode, DtypeKernel> cast_kernel_map{
+    {FROM_FLOAT_TO_INT32, TransDataSrc2Dst<float, int32_t>},
+    {FROM_FLOAT64_TO_FLOAT32, TransDataSrc2Dst<double, float>},
+    {FROM_FLOAT32_TO_FLOAT64, TransDataSrc2Dst<float, double>},
+    {FROM_FLOAT16_TO_INT32, TransDataSrc2Dst<float16, int32_t>},
+    {FROM_FLOAT16_TO_UINT8, TransDataSrc2Dst<float16, uint8_t>},
+    {FROM_INT32_TO_FLOAT, TransDataSrc2Dst<int32_t, float>},
+    {FROM_INT32_TO_INT8, TransDataSrc2Dst<int32_t, int8_t>},
+    {FROM_INT32_TO_UINT8, TransDataSrc2Dst<int32_t, uint8_t>},
+    {FROM_INT32_TO_BOOL, TransDataSrc2Dst<int32_t, int8_t>},
+    {FROM_INT32_TO_FLOAT16, TransDataSrc2Fp16<int32_t>},
+    {FROM_UINT8_TO_FLOAT, TransDataSrc2Dst<uint8_t, float>},
+    {FROM_UINT8_TO_INT32, TransDataSrc2Dst<uint8_t, int32_t>},
+    {FROM_UINT8_TO_FLOAT16, TransDataSrc2Fp16<uint8_t>},
+    {FROM_INT8_TO_FLOAT, TransDataSrc2Dst<int8_t, float>},
+    {FROM_INT8_TO_FLOAT16, TransDataSrc2Fp16<int8_t>},
+    {FROM_INT8_TO_INT32, TransDataSrc2Dst<int8_t, int32_t>},
+    {FROM_INT64_TO_INT32, TransDataSrc2Dst<int64_t, int32_t>},
+    {FROM_UINT16_TO_INT32, TransDataSrc2Dst<uint16_t, int32_t>},
+    {FROM_BOOL_TO_INT32, TransDataSrc2Dst<int8_t, int32_t>},
+    {FROM_BOOL_TO_FLOAT, TransDataSrc2Dst<int8_t, float>},
+    {FROM_BOOL_TO_UINT8, TransDataSrc2Dst<int8_t, uint8_t>},
+    {FROM_BOOL_TO_FLOAT16, TransDataSrc2Fp16<int8_t>}};
+
+  if (mode == FROM_FLOAT_TO_FLOAT16) {
+    device::FloatToHalf(dst, args.data, data_size);
+    return true;
+  } else if (mode == FROM_FLOAT16_TO_FLOAT) {
+    device::HalfToFloat(dst, args.data, data_size);
+    return true;
+  }
+  auto iter = cast_kernel_map.find(mode);
+  if (iter != cast_kernel_map.end()) {
+    iter->second(args, dst, data_size);
+    return true;
+  } else {
+    MS_LOG(ERROR) << "Unsupported datatype trans";
+    return false;
   }
-  return true;
 }
 
 size_t CubeSizeByType(const TypeId data_type) {
diff --git a/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc b/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
index 9e54adc635d9ff73138d1bda921f3871c8d15354..d615d261c741c10625704d11f9d48f5dd2a660f2 100644
--- a/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
+++ b/mindspore/ccsrc/device/ascend/kernel_select_ascend.cc
@@ -464,14 +464,12 @@ std::vector<std::shared_ptr<kernel::KernelBuildInfo>> FilterRaisedOrReducePrecis
 }
 }  // namespace
 
-int SelectKernelInfo(const CNodePtr &kernel_node) {
-  std::vector<std::shared_ptr<kernel::KernelBuildInfo>> kernel_info_list;
-  int status = kStatusAllMatched;
+std::shared_ptr<kernel::KernelBuildInfo> CanHitKernelInfo(
+  int *status, const CNodePtr &kernel_node,
+  const 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);
@@ -481,15 +479,34 @@ int SelectKernelInfo(const CNodePtr &kernel_node) {
       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_EXCEPTION(TypeError) << "The node [" << kernel_node->DebugString()
-                              << "] cannot find valid kernel info, not supported the type" << buffer.str();
+      return nullptr;
     } else {
       PrintRaiseOrReducePrecisionSelectedInfo(kernel_node, selected_kernel_info, precision_reduce);
-      status = precision_reduce ? kStatusReducePrecision : kStatusRaisePrecision;
+      *status = precision_reduce ? kStatusReducePrecision : kStatusRaisePrecision;
     }
   }
+  return selected_kernel_info;
+}
+
+int SelectKernelInfo(const CNodePtr &kernel_node) {
+  std::vector<std::shared_ptr<kernel::KernelBuildInfo>> kernel_info_list;
+  int status = kStatusAllMatched;
+  MS_EXCEPTION_IF_NULL(kernel_node);
+  kernel::KernelQuery(kernel_node, &kernel_info_list);
+  // filter kernel info matched with me infered type
+  auto selected_kernel_info = CanHitKernelInfo(&status, kernel_node, kernel_info_list);
+  if (selected_kernel_info == nullptr) {
+    MS_LOG(WARNING) << "The node [" << kernel_node->DebugString()
+                    << "] cannot find valid TBE kernel info, try to get aicpu kernel info";
+    kernel::AicpuQuery(kernel_node, &kernel_info_list);
+    selected_kernel_info = CanHitKernelInfo(&status, kernel_node, kernel_info_list);
+  }
+  if (selected_kernel_info == nullptr) {
+    std::ostringstream buffer;
+    PrintInputAndOutputInferType(buffer, kernel_node);
+    MS_EXCEPTION(TypeError) << "The node [" << kernel_node->DebugString()
+                            << "] cannot find valid kernel info, not supported the type " << buffer.str();
+  }
   AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_info, kernel_node.get());
   // Set format and data type for input tensor.
   SetTensorDeviceInfo(*selected_kernel_info, kernel_node);
diff --git a/mindspore/ccsrc/kernel/kernel_query.cc b/mindspore/ccsrc/kernel/kernel_query.cc
index e4a1af7f50dc21456fb8eae1de1714376a7c2f92..a2a5958a3f8b30f1d8f65f1b60fb6f0cbf4ffedf 100755
--- a/mindspore/ccsrc/kernel/kernel_query.cc
+++ b/mindspore/ccsrc/kernel/kernel_query.cc
@@ -67,5 +67,13 @@ void KernelQuery(const CNodePtr &kernel_node, std::vector<std::shared_ptr<kernel
   }
   FilterInvalidKernelInfo(kernel_node, kernel_info_list);
 }
+
+void AicpuQuery(const CNodePtr &kernel_node, std::vector<std::shared_ptr<kernel::KernelBuildInfo>> *kernel_info_list) {
+  MS_EXCEPTION_IF_NULL(kernel_node);
+  MS_EXCEPTION_IF_NULL(kernel_info_list);
+  kernel_info_list->clear();
+  AicpuMetadataInfo(kernel_node, kernel_info_list);
+  FilterInvalidKernelInfo(kernel_node, kernel_info_list);
+}
 }  // namespace kernel
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/kernel/kernel_query.h b/mindspore/ccsrc/kernel/kernel_query.h
index 72acbc0952541777810e23a63ee6c0d5771917a0..3e16b6b6129be0eb2cf2e27accaf44d756e7c804 100644
--- a/mindspore/ccsrc/kernel/kernel_query.h
+++ b/mindspore/ccsrc/kernel/kernel_query.h
@@ -26,6 +26,7 @@
 namespace mindspore {
 namespace kernel {
 void KernelQuery(const CNodePtr &kernel_node, std::vector<std::shared_ptr<kernel::KernelBuildInfo>> *kernel_info_list);
+void AicpuQuery(const CNodePtr &kernel_node, std::vector<std::shared_ptr<kernel::KernelBuildInfo>> *kernel_info_list);
 }  // namespace kernel
 }  // namespace mindspore
 #endif  // MINDSPORE_CCSRC_KERNEL_KERNEL_QUERY_H_