tf.raw_ops.QuantizedMul

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.QuantizedMul

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

Args
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).

Returns
A tuple of Tensor objects (z, min_z, max_z).
z	A Tensor of type Toutput.
min_z	A Tensor of type float32.
max_z	A Tensor of type float32.