Returns x + y element-wise, working on quantized buffers.
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.QuantizedAdd(
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). |
Returns | |
---|---|
A tuple of Tensor objects (z, min_z, max_z).
|
|
z
|
A Tensor of type Toutput .
|
min_
|
A Tensor of type float32 .
|
max_
|
A Tensor of type float32 .
|