tf.raw_ops.QuantizedAdd
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/QuantizedAdd