tf.raw_ops.QuantizedRelu
Computes Quantized Rectified Linear: max(features, 0)
tf.raw_ops.QuantizedRelu(
features, min_features, max_features, out_type=tf.dtypes.quint8, name=None
)
| Args | |
|---|---|
features |
A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. |
min_features |
A Tensor of type float32. The float value that the lowest quantized value represents. |
max_features |
A Tensor of type float32. The float value that the highest quantized value represents. |
out_type |
An optional tf.DType from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16. Defaults to tf.quint8. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A tuple of Tensor objects (activations, min_activations, max_activations). |
|
activations |
A Tensor of type out_type. |
min_activations |
A Tensor of type float32. |
max_activations |
A Tensor of type float32. |
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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/QuantizedRelu