return opd
	}
	return riscv.SPOP_END
}

// RISCV64ValidateVectorType reports whether the given configuration is a
// valid vector type.
func RISCV64ValidateVectorType(vsew, vlmul, vtail, vmask int64) error {
	_, err := riscv.EncodeVectorType(vsew, vlmul, vtail, vmask)
	return err

</p>

<pre>
uint(-1)     // -1 cannot be represented as a uint
int(3.14)    // 3.14 cannot be represented as an int
int64(Huge)  // 1267650600228229401496703205376 cannot be represented as an int64
Four * 300   // operand 300 cannot be represented as an int8 (type of Four)
Four * 100   // product 400 cannot be represented as an int8 (type of Four)
</pre>

<p>

        *   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.
        *   `tf.random.uniform` op for output data type `tf.float32` on CPU.
        *   `tf.random.categorical` op for output data type `tf.int64` on CPU.

*   `tensorflow.experimental.tensorrt`: