org.bytedeco.javacpp

Class tensorflow.FusedBatchNormV2

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FusedBatchNormV2

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.FusedBatchNormV2
extends Pointer

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. Arguments: * scope: A Scope object * 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. Optional attributes (see Attrs): * epsilon: A small float number added to the variance of x. * data_format: The data format for x and y. Either "NHWC" (default) or "NCHW". * is_training: A bool value to indicate the operation is for training (default) or inference. Returns: * Output y: A 4D Tensor for output data. * Output batch_mean: A 1D Tensor for the computed batch mean, to be used by TensorFlow to compute the running mean. * Output batch_variance: A 1D Tensor for the computed batch variance, to be used by TensorFlow to compute the running variance. * Output reserve_space_1: A 1D Tensor for the computed batch mean, to be reused in the gradient computation. * Output reserve_space_2: A 1D Tensor for the computed batch variance (inverted variance in the cuDNN case), to be reused in the gradient computation.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.FusedBatchNormV2.Attrs Optional attribute setters for FusedBatchNormV2

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	batch_mean()
tensorflow.FusedBatchNormV2	batch_mean(tensorflow.Output batch_mean)
tensorflow.Output	batch_variance()
tensorflow.FusedBatchNormV2	batch_variance(tensorflow.Output batch_variance)
static tensorflow.FusedBatchNormV2.Attrs	DataFormat(BytePointer x)
static tensorflow.FusedBatchNormV2.Attrs	DataFormat(String x)
static tensorflow.FusedBatchNormV2.Attrs	Epsilon(float x)
static tensorflow.FusedBatchNormV2.Attrs	IsTraining(boolean x)
tensorflow.Operation	operation()
tensorflow.FusedBatchNormV2	operation(tensorflow.Operation operation)
tensorflow.Output	reserve_space_1()
tensorflow.FusedBatchNormV2	reserve_space_1(tensorflow.Output reserve_space_1)
tensorflow.Output	reserve_space_2()
tensorflow.FusedBatchNormV2	reserve_space_2(tensorflow.Output reserve_space_2)
tensorflow.Output	y()
tensorflow.FusedBatchNormV2	y(tensorflow.Output y)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

FusedBatchNormV2

public FusedBatchNormV2(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

FusedBatchNormV2

public FusedBatchNormV2(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input x,
                        @ByVal
                        tensorflow.Input scale,
                        @ByVal
                        tensorflow.Input offset,
                        @ByVal
                        tensorflow.Input mean,
                        @ByVal
                        tensorflow.Input variance)

FusedBatchNormV2

public FusedBatchNormV2(@Const @ByRef
                        tensorflow.Scope scope,
                        @ByVal
                        tensorflow.Input x,
                        @ByVal
                        tensorflow.Input scale,
                        @ByVal
                        tensorflow.Input offset,
                        @ByVal
                        tensorflow.Input mean,
                        @ByVal
                        tensorflow.Input variance,
                        @Const @ByRef
                        tensorflow.FusedBatchNormV2.Attrs attrs)

Method Detail

Epsilon

@ByVal
public static tensorflow.FusedBatchNormV2.Attrs Epsilon(float x)

DataFormat

@ByVal
public static tensorflow.FusedBatchNormV2.Attrs DataFormat(@tensorflow.StringPiece
                                                                   BytePointer x)

DataFormat

@ByVal
public static tensorflow.FusedBatchNormV2.Attrs DataFormat(@tensorflow.StringPiece
                                                                   String x)

IsTraining

@ByVal
public static tensorflow.FusedBatchNormV2.Attrs IsTraining(@Cast(value="bool")
                                                                   boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FusedBatchNormV2 operation(tensorflow.Operation operation)

y

@ByRef
public tensorflow.Output y()

y

public tensorflow.FusedBatchNormV2 y(tensorflow.Output y)

batch_mean

@ByRef
public tensorflow.Output batch_mean()

batch_mean

public tensorflow.FusedBatchNormV2 batch_mean(tensorflow.Output batch_mean)

batch_variance

@ByRef
public tensorflow.Output batch_variance()

batch_variance

public tensorflow.FusedBatchNormV2 batch_variance(tensorflow.Output batch_variance)

reserve_space_1

@ByRef
public tensorflow.Output reserve_space_1()

reserve_space_1

public tensorflow.FusedBatchNormV2 reserve_space_1(tensorflow.Output reserve_space_1)

reserve_space_2

@ByRef
public tensorflow.Output reserve_space_2()

reserve_space_2

public tensorflow.FusedBatchNormV2 reserve_space_2(tensorflow.Output reserve_space_2)