tf.raw_ops.QuantizedAdd

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

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.QuantizedAdd

 
tf.raw_ops.QuantizedAdd(
    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).

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.