Returns x + y element-wise, working on quantized buffers.
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_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.
|
