def TF_Uint32Ref : TF_TensorFlowType<"Uint32Ref", "ui32ref">;
def TF_Uint64Ref : TF_TensorFlowType<"Uint64Ref", "ui64ref">;

// Quantized reference types
def TF_Qint8Ref : TF_TensorFlowType<"Qint8Ref", "qint8ref">;
def TF_Qint16Ref : TF_TensorFlowType<"Qint16Ref", "qint16ref">;
def TF_Qint32Ref : TF_TensorFlowType<"Qint32Ref", "qint32ref">;
def TF_Quint8Ref : TF_TensorFlowType<"Quint8Ref", "quint8ref">;

the standard dialect. The extra defined types are specific to TensorFlow: `QINT`
types like !tf_type.qint8 (etc), `QUINT` types like !tf_type.quint8, all of the
`REF` types like !tf_type.uint8ref, as well as !tf_type.string,
!tf_type.resource, and !tf_type.variant which correspond to the tensorflow types
of the same name.

### Example:

Below is an example of a function operating on the TensorFlow dialect: