add support for bool

mindspore/ccsrc/utils/tensorprint_utils.cc

@@ -37,13 +37,13 @@ static std::map<std::string, TypeId> print_type_map = {
   {"int32_t", TypeId::kNumberTypeInt32},   {"uint32_t", TypeId::kNumberTypeUInt32},
   {"int64_t", TypeId::kNumberTypeInt64},   {"uint64_t", TypeId::kNumberTypeUInt64},
   {"float16", TypeId::kNumberTypeFloat16}, {"float", TypeId::kNumberTypeFloat32},
-  {"double", TypeId::kNumberTypeFloat64}};
+  {"double", TypeId::kNumberTypeFloat64},  {"bool", TypeId::kNumberTypeBool}};
 
 static std::map<std::string, size_t> type_size_map = {
   {"int8_t", sizeof(int8_t)},     {"uint8_t", sizeof(uint8_t)},   {"int16_t", sizeof(int16_t)},
   {"uint16_t", sizeof(uint16_t)}, {"int32_t", sizeof(int32_t)},   {"uint32_t", sizeof(uint32_t)},
   {"int64_t", sizeof(int64_t)},   {"uint64_t", sizeof(uint64_t)}, {"float16", sizeof(float) / 2},
-  {"float", sizeof(float)},       {"double", sizeof(double)}};
+  {"float", sizeof(float)},       {"double", sizeof(double)},     {"bool", sizeof(bool)}};
 
 bool ParseTensorShape(const std::string &input_shape_str, std::vector<int> *const tensor_shape, size_t *dims) {
   if (tensor_shape == nullptr) {
@@ -107,7 +107,7 @@ bool ConvertDataItem2Tensor(const std::vector<tdt::DataItem> &items) {
     } else {
       auto type_iter = print_type_map.find(item.tensorType_);
       if (type_iter == print_type_map.end()) {
-        MS_LOG(ERROR) << "type of tensor need to print is not soupport" << item.tensorType_;
+        MS_LOG(ERROR) << "type of tensor need to print is not support " << item.tensorType_;
         continue;
       }
       auto type_id = type_iter->second;