Uses of Class
org.bytedeco.javacpp.tensorflow.QuantizedInstanceNorm.Attrs

Packages that use tensorflow.QuantizedInstanceNorm.Attrs

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.QuantizedInstanceNorm.Attrs in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.QuantizedInstanceNorm.Attrs

Modifier and Type	Method and Description
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.given_y_max_(float given_y_max_)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.given_y_min_(float given_y_min_)
static tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.GivenYMax(float x)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.GivenYMax(float x) Output in y_max if output_range_given is True.
static tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.GivenYMin(float x)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.GivenYMin(float x) Output in y_min if output_range_given is True.
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.min_separation_(float min_separation_)
static tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.MinSeparation(float x)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.MinSeparation(float x) Minimum value of y_max - y_min Defaults to 0.001
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.output_range_given_(boolean output_range_given_)
static tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.OutputRangeGiven(boolean x)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.OutputRangeGiven(boolean x) If True, given_y_min and given_y_min and given_y_max are used as the output range.
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.position(long position)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.variance_epsilon_(float variance_epsilon_)
static tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.VarianceEpsilon(float x)
tensorflow.QuantizedInstanceNorm.Attrs	tensorflow.QuantizedInstanceNorm.Attrs.VarianceEpsilon(float x) A small float number to avoid dividing by 0.

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.QuantizedInstanceNorm.Attrs

Constructor and Description
QuantizedInstanceNorm(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input x_min, tensorflow.Input x_max, tensorflow.QuantizedInstanceNorm.Attrs attrs)