tf.raw_ops.QuantizedMul

Returns x * y element-wise, working on quantized buffers.

tf.raw_ops.QuantizedMul(
    x,
    y,
    min_x,
    max_x,
    min_y,
    max_y,
    Toutput=tf.dtypes.qint32,
    name=None
)

x A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. y A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. min_x A Tensor of type float32. The float value that the lowest quantized x value represents. max_x A Tensor of type float32. The float value that the highest quantized x value represents. min_y A Tensor of type float32. The float value that the lowest quantized y value represents. max_y A Tensor of type float32. The float value that the highest quantized y value represents. Toutput An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.qint32. name A name for the operation (optional).