Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
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Compat aliases for migration
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tf.raw_ops.QuantizedReluX(
features,
max_value,
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 .
|
max_
|
A Tensor of type float32 .
|
min_
|
A Tensor of type float32 .
The float value that the lowest quantized value represents.
|
max_
|
A Tensor of type float32 .
The float value that the highest quantized value represents.
|
out_
|
An optional tf.DType from: tf. . Defaults to tf.quint8 .
|
name
|
A name for the operation (optional). |