FusedBatchNormV3

public final class FusedBatchNormV3

Batch normalization.

Note that the size of 4D Tensors are defined by either "NHWC" or "NCHW". The size of 1D Tensors matches the dimension C of the 4D Tensors.

Nested Classes

class

FusedBatchNormV3.Options

Optional attributes for FusedBatchNormV3

Public Methods

Output <U>	batchMean () A 1D Tensor for the computed batch mean, to be used by TensorFlow to compute the running mean.
Output <U>	batchVariance () A 1D Tensor for the computed batch variance, to be used by TensorFlow to compute the running variance.
static <T extends Number, U extends Number> FusedBatchNormV3 <T, U>	create ( Scope scope, Operand <T> x, Operand <U> scale, Operand <U> offset, Operand <U> mean, Operand <U> variance, Options... options) Factory method to create a class wrapping a new FusedBatchNormV3 operation.
static FusedBatchNormV3.Options	dataFormat (String dataFormat)
static FusedBatchNormV3.Options	epsilon (Float epsilon)
static FusedBatchNormV3.Options	exponentialAvgFactor (Float exponentialAvgFactor)
static FusedBatchNormV3.Options	isTraining (Boolean isTraining)
Output <U>	reserveSpace1 () A 1D Tensor for the computed batch mean, to be reused in the gradient computation.
Output <U>	reserveSpace2 () A 1D Tensor for the computed batch variance (inverted variance in the cuDNN case), to be reused in the gradient computation.
Output <U>	reserveSpace3 () A 1D Tensor for some intermediate results, to be reused in the gradient computation for better efficiency.
Output <T>	y () A 4D Tensor for output data.

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals (Object obj)
final int	hashCode ()
Operation	op () Returns the underlying Operation
final String	toString ()

From class java.lang.Object

boolean	equals (Object arg0)
final Class<?>	getClass ()
int	hashCode ()
final void	notify ()
final void	notifyAll ()
String	toString ()
final void	wait (long arg0, int arg1)
final void	wait (long arg0)
final void	wait ()

Public Methods

public Output <U> batchMean ()

A 1D Tensor for the computed batch mean, to be used by TensorFlow to compute the running mean.

public Output <U> batchVariance ()

A 1D Tensor for the computed batch variance, to be used by TensorFlow to compute the running variance.

public static FusedBatchNormV3 <T, U> create ( Scope scope, Operand <T> x, Operand <U> scale, Operand <U> offset, Operand <U> mean, Operand <U> variance, Options... options)

Factory method to create a class wrapping a new FusedBatchNormV3 operation.

Parameters

scope	current scope
x	A 4D Tensor for input data.
scale	A 1D Tensor for scaling factor, to scale the normalized x.
offset	A 1D Tensor for offset, to shift to the normalized x.
mean	A 1D Tensor for population mean. Used for inference only; must be empty for training.
variance	A 1D Tensor for population variance. Used for inference only; must be empty for training.
options	carries optional attributes values

Returns

• a new instance of FusedBatchNormV3

public static FusedBatchNormV3.Options dataFormat (String dataFormat)

Parameters

dataFormat	The data format for x and y. Either "NHWC" (default) or "NCHW".

public static FusedBatchNormV3.Options epsilon (Float epsilon)

Parameters

epsilon	A small float number added to the variance of x.

public static FusedBatchNormV3.Options exponentialAvgFactor (Float exponentialAvgFactor)

public static FusedBatchNormV3.Options isTraining (Boolean isTraining)

Parameters

isTraining	A bool value to indicate the operation is for training (default) or inference.

public Output <U> reserveSpace1 ()

A 1D Tensor for the computed batch mean, to be reused in the gradient computation.

public Output <U> reserveSpace2 ()

A 1D Tensor for the computed batch variance (inverted variance in the cuDNN case), to be reused in the gradient computation.

public Output <U> reserveSpace3 ()

A 1D Tensor for some intermediate results, to be reused in the gradient computation for better efficiency.

public Output <T> y ()

A 4D Tensor for output data.