DataType data_type() const { return data_type_; }
  Status status() const { return status_; }
  const Tensor& tensor() const { return tensor_; }

 private:
  Status status_;
  Output output_ = Output(Operation(nullptr), 0);
  Tensor tensor_;
  const std::string node_name_ = "";
  int32 index_ = 0;
  DataType data_type_ = DT_INVALID;
};

                      llvm::SmallVectorImpl<DataType>& data_types) {
  data_types.clear();
  std::vector<std::string> input_dtypes_vector;
  TF_RETURN_IF_ERROR(ParseNodeDataTypes(data_types_str, input_dtypes_vector));
  data_types.resize(input_dtypes_vector.size(), DT_INVALID);
  for (auto data_type : llvm::enumerate(input_dtypes_vector)) {
    if (!DataType_Parse(data_type.value(), &data_types[data_type.index()]))

  owner->reference.Unref();
  delete owner;
}

// Converts TF_DATAType to DLPack data type.
DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) {
  DLDataType dtype;
  dtype.lanes = 1;
  dtype.bits = TF_DataTypeSize(data_type) * 8;
  switch (data_type) {
    case TF_DataType::TF_BOOL:
      dtype.code = DLDataTypeCode::kDLBool;
      break;
    case TF_DataType::TF_HALF:

Anis Eleuch <******@****.***> 1718034687 +0100

    if (output_name.empty()) continue;
    outputs->push_back(output_name);
  }
  return absl::OkStatus();
}

Status ParseInputArrayInfo(absl::string_view array_names,
                           absl::string_view data_types,
                           absl::string_view shapes,
                           GraphImportConfig::InputArrays* inputs) {
  std::vector<string> node_names;
  std::vector<string> node_dtypes;

			field.DataType = Bytes
		}
	}

	if dataTyper, ok := fieldValue.Interface().(GormDataTypeInterface); ok {
		field.DataType = DataType(dataTyper.GormDataType())
	}

	if v, ok := field.TagSettings["AUTOCREATETIME"]; (ok && utils.CheckTruth(v)) || (!ok && field.Name == "CreatedAt" && (field.DataType == Time || field.DataType == Int || field.DataType == Uint)) {
		if field.DataType == Time {
			field.AutoCreateTime = UnixTime

  }

  for (auto& flag : model_flags.input_arrays()) {
    node_names->push_back(flag.name());
    // TOCO doesn't required `data_type` to be filled for every input.
    // If it's not filled, make it an empty string so the importer will use
    // the data type in the NodeDef.
    auto toco_data_type = flag.data_type();
    if (toco_data_type == ::toco::IODataType::IO_DATA_TYPE_UNKNOWN) {
      node_dtypes->push_back("");
    } else {

Klaus Post <******@****.***> 1718033511 -0700

  return tensorflow::internal::PickUnusedPortOrDie();
}

TFE_TensorHandle* TFE_NewTensorHandleFromScalar(TF_DataType data_type,
                                                void* data, size_t len,
                                                TF_Status* status) {
  auto dtype = static_cast<tensorflow::DataType>(data_type);
  DCHECK(tensorflow::DataTypeCanUseMemcpy(dtype));

  tensorflow::Tensor tensor(dtype, tensorflow::TensorShape({}));

		{Name: "Name", DBName: "name", BindNames: []string{"Name"}, DataType: schema.String},
		{Name: "Age", DBName: "age", BindNames: []string{"Age"}, DataType: schema.Uint, Size: 64},
		{Name: "Birthday", DBName: "birthday", BindNames: []string{"Birthday"}, DataType: schema.Time},
		{Name: "CompanyID", DBName: "company_id", BindNames: []string{"CompanyID"}, DataType: schema.Int, Size: 64},