Returns x * y element-wise, working on quantized buffers.
View aliases
Compat aliases for migration
See Migration guide for more details.
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_
|
A Tensor of type float32 .
The float value that the lowest quantized x value represents.
|
max_
|
A Tensor of type float32 .
The float value that the highest quantized x value represents.
|
min_
|
A Tensor of type float32 .
The float value that the lowest quantized y value represents.
|
max_
|
A Tensor of type float32 .
The float value that the highest quantized y value represents.
|
Toutput
|
An optional tf.DType from: tf. . Defaults to tf.qint32 .
|
name
|
A name for the operation (optional). |