{Name: "ID", DBName: "id", BindNames: []string{"ID"}, DataType: schema.Uint, PrimaryKey: true, Size: 64, Creatable: true, Updatable: true, Readable: true, HasDefaultValue: true, AutoIncrement: true},
		{Name: "Name", DBName: "", BindNames: []string{"Name"}, DataType: "", Tag: `gorm:"-"`, Creatable: false, Updatable: false, Readable: false},

		{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},

			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

func (c *StandardClaims) UnmarshalJSON(b []byte) (err error) {
	return jsonparser.ObjectEach(b, func(key []byte, value []byte, dataType jsonparser.ValueType, _ int) error {
		if len(key) == 0 {
			return nil
		}
		switch key[0] {
		case 'a':
			if string(key) == "accessKey" {
				if dataType != jsonparser.String {
					return errors.New("accessKey: Expected string")
				}

                                                       TF_Status* status) const;

  // Construct a parallel tensor consisting of the scalar values from `values`.
  template <typename DataType>
  std::unique_ptr<ParallelTensor> ScalarsFromSequence(
      absl::Span<const DataType> values, TFE_Context* context,
      TF_Status* status) const;

  // A parallel tensor with scalar integers numbering component devices.

				relation.FieldSchema, schema, field.Name)
			return
		}

		// use same data type for foreign keys
		if copyableDataType(primaryKeyField.DataType) {
			relation.Polymorphic.PolymorphicID.DataType = primaryKeyField.DataType
		}
		relation.Polymorphic.PolymorphicID.GORMDataType = primaryKeyField.GORMDataType
		if relation.Polymorphic.PolymorphicID.Size == 0 {

  handle_ = other.handle_;
  handle_->Ref();
}
TapeTensor::~TapeTensor() { handle_->Unref(); }

int64_t TapeTensor::GetID() const { return ToId(handle_); }

tensorflow::DataType TapeTensor::GetDType() const {
  return handle_->DataType();
}
AbstractTensorHandle* TapeTensor::GetHandle() const { return handle_; }

AbstractTensorHandle* TapeTensor::ZerosLike() const { return nullptr; }

class TapeVSpace

 public:
  explicit GraphTensor(TF_Output output, TF_Graph* graph)
      : TracingTensorHandle(kGraph), output_(output), graph_(graph) {}

  tensorflow::DataType DataType() const override {
    return static_cast<tensorflow::DataType>(TF_OperationOutputType(output_));
  }

  absl::Status Shape(tensorflow::PartialTensorShape* shape) const override {
    DCHECK(shape != nullptr);
    TF_Status status;

  builder->Set(*iter, static_cast<tensorflow::DataType>(value));
}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,
                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(

			} else {
				schema.Fields = append(schema.Fields, field)
			}
		}
	}

	for _, field := range schema.Fields {
		if field.DBName == "" && field.DataType != "" {
			field.DBName = namer.ColumnName(schema.Table, field.Name)
		}

		bindName := field.BindName()
		if field.DBName != "" {
			// nonexistence or shortest path or first appear prioritized if has permission