tf.nn.quantized_relu_x
tf.nn.quantized_relu_x
tf.nn.quantized_relu_x
quantized_relu_x( features, max_value, min_features, max_features, out_type=None, name=None )
Defined in tensorflow/python/ops/gen_nn_ops.py
.
See the guide: Neural Network > Candidate Sampling
Computes Quantized Rectified Linear X: min(max(features, 0), max_value)
Args:
-
features
: ATensor
. Must be one of the following types:qint8
, <