tf.nn.quantized_relu_x(
features,
max_value,
min_features,
max_features,
out_type=tf.dtypes.quint8,
name=None
)
Defined in generated file: tensorflow/python/ops/gen_nn_ops.py
.
Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
Args:
features
: ATensor
. Must be one of the following types:qint8
,quint8
,qint32
,qint16
,quint16
.max_value
: ATensor
of typefloat32
.min_features
: ATensor
of typefloat32
. The float value that the lowest quantized value represents.max_features
: ATensor
of typefloat32
. The float value that the highest quantized value represents.out_type
: An optionaltf.DType
from:tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16
. Defaults totf.quint8
.name
: A name for the operation (optional).
Returns:
A tuple of Tensor
objects (activations, min_activations, max_activations).
activations
: ATensor
of typeout_type
.min_activations
: ATensor
of typefloat32
.max_activations
: ATensor
of typefloat32
.