Uses of Class
org.bytedeco.javacpp.tensorflow.FusedBatchNormV2.Attrs

Packages that use tensorflow.FusedBatchNormV2.Attrs

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.FusedBatchNormV2.Attrs in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.FusedBatchNormV2.Attrs

Modifier and Type	Method and Description
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.data_format_(BytePointer data_format_)
static tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.DataFormat(BytePointer x)
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.DataFormat(BytePointer x) The data format for x and y.
static tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.DataFormat(String x)
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.DataFormat(String x)
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.epsilon_(float epsilon_)
static tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Epsilon(float x)
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.Epsilon(float x) A small float number added to the variance of x.
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.is_training_(boolean is_training_)
static tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.IsTraining(boolean x)
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.IsTraining(boolean x) A bool value to indicate the operation is for training (default) or inference.
tensorflow.FusedBatchNormV2.Attrs	tensorflow.FusedBatchNormV2.Attrs.position(long position)

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.FusedBatchNormV2.Attrs

Constructor and Description
FusedBatchNormV2(tensorflow.Scope scope, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input offset, tensorflow.Input mean, tensorflow.Input variance, tensorflow.FusedBatchNormV2.Attrs attrs)