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

Packages that use tensorflow.FusedBatchNormGrad.Attrs

Package	Description
org.bytedeco.javacpp

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

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

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

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

Constructor and Description
FusedBatchNormGrad(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2, tensorflow.FusedBatchNormGrad.Attrs attrs)