org.bytedeco.javacpp

Class tensorflow.FusedBatchNormGradV2

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FusedBatchNormGradV2

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.FusedBatchNormGradV2
extends Pointer

Gradient for 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 * y_backprop: A 4D Tensor for the gradient with respect to y. * x: A 4D Tensor for input data. * scale: A 1D Tensor for scaling factor, to scale the normalized x. * reserve_space_1: When is_training is True, a 1D Tensor for the computed batch mean to be reused in gradient computation. When is_training is False, a 1D Tensor for the population mean to be reused in both 1st and 2nd order gradient computation. * reserve_space_2: When is_training is True, a 1D Tensor for the computed batch variance (inverted variance in the cuDNN case) to be reused in gradient computation. When is_training is False, a 1D Tensor for the population variance to be reused in both 1st and 2nd order gradient computation. Optional attributes (see Attrs): * epsilon: A small float number added to the variance of x. * data_format: The data format for y_backprop, x, x_backprop. Either "NHWC" (default) or "NCHW". * is_training: A bool value to indicate the operation is for training (default) or inference. Returns: * Output x_backprop: A 4D Tensor for the gradient with respect to x. * Output scale_backprop: A 1D Tensor for the gradient with respect to scale. * Output offset_backprop: A 1D Tensor for the gradient with respect to offset. * Output reserve_space_3: Unused placeholder to match the mean input in FusedBatchNorm. * Output reserve_space_4: Unused placeholder to match the variance input in FusedBatchNorm.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.FusedBatchNormGradV2.Attrs Optional attribute setters for FusedBatchNormGradV2

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
FusedBatchNormGradV2(Pointer p) Pointer cast constructor.
FusedBatchNormGradV2(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2)
FusedBatchNormGradV2(tensorflow.Scope scope, tensorflow.Input y_backprop, tensorflow.Input x, tensorflow.Input scale, tensorflow.Input reserve_space_1, tensorflow.Input reserve_space_2, tensorflow.FusedBatchNormGradV2.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.FusedBatchNormGradV2.Attrs	DataFormat(BytePointer x)
static tensorflow.FusedBatchNormGradV2.Attrs	DataFormat(String x)
static tensorflow.FusedBatchNormGradV2.Attrs	Epsilon(float x)
static tensorflow.FusedBatchNormGradV2.Attrs	IsTraining(boolean x)
tensorflow.Output	offset_backprop()
tensorflow.FusedBatchNormGradV2	offset_backprop(tensorflow.Output offset_backprop)
tensorflow.Operation	operation()
tensorflow.FusedBatchNormGradV2	operation(tensorflow.Operation operation)
tensorflow.Output	reserve_space_3()
tensorflow.FusedBatchNormGradV2	reserve_space_3(tensorflow.Output reserve_space_3)
tensorflow.Output	reserve_space_4()
tensorflow.FusedBatchNormGradV2	reserve_space_4(tensorflow.Output reserve_space_4)
tensorflow.Output	scale_backprop()
tensorflow.FusedBatchNormGradV2	scale_backprop(tensorflow.Output scale_backprop)
tensorflow.Output	x_backprop()
tensorflow.FusedBatchNormGradV2	x_backprop(tensorflow.Output x_backprop)

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

FusedBatchNormGradV2

public FusedBatchNormGradV2(Pointer p)

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

FusedBatchNormGradV2

public FusedBatchNormGradV2(@Const @ByRef
                            tensorflow.Scope scope,
                            @ByVal
                            tensorflow.Input y_backprop,
                            @ByVal
                            tensorflow.Input x,
                            @ByVal
                            tensorflow.Input scale,
                            @ByVal
                            tensorflow.Input reserve_space_1,
                            @ByVal
                            tensorflow.Input reserve_space_2)

FusedBatchNormGradV2

public FusedBatchNormGradV2(@Const @ByRef
                            tensorflow.Scope scope,
                            @ByVal
                            tensorflow.Input y_backprop,
                            @ByVal
                            tensorflow.Input x,
                            @ByVal
                            tensorflow.Input scale,
                            @ByVal
                            tensorflow.Input reserve_space_1,
                            @ByVal
                            tensorflow.Input reserve_space_2,
                            @Const @ByRef
                            tensorflow.FusedBatchNormGradV2.Attrs attrs)

Method Detail

Epsilon

@ByVal
public static tensorflow.FusedBatchNormGradV2.Attrs Epsilon(float x)

DataFormat

@ByVal
public static tensorflow.FusedBatchNormGradV2.Attrs DataFormat(@tensorflow.StringPiece
                                                                       BytePointer x)

DataFormat

@ByVal
public static tensorflow.FusedBatchNormGradV2.Attrs DataFormat(@tensorflow.StringPiece
                                                                       String x)

IsTraining

@ByVal
public static tensorflow.FusedBatchNormGradV2.Attrs IsTraining(@Cast(value="bool")
                                                                       boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FusedBatchNormGradV2 operation(tensorflow.Operation operation)

x_backprop

@ByRef
public tensorflow.Output x_backprop()

x_backprop

public tensorflow.FusedBatchNormGradV2 x_backprop(tensorflow.Output x_backprop)

scale_backprop

@ByRef
public tensorflow.Output scale_backprop()

scale_backprop

public tensorflow.FusedBatchNormGradV2 scale_backprop(tensorflow.Output scale_backprop)

offset_backprop

@ByRef
public tensorflow.Output offset_backprop()

offset_backprop

public tensorflow.FusedBatchNormGradV2 offset_backprop(tensorflow.Output offset_backprop)

reserve_space_3

@ByRef
public tensorflow.Output reserve_space_3()

reserve_space_3

public tensorflow.FusedBatchNormGradV2 reserve_space_3(tensorflow.Output reserve_space_3)

reserve_space_4

@ByRef
public tensorflow.Output reserve_space_4()

reserve_space_4

public tensorflow.FusedBatchNormGradV2 reserve_space_4(tensorflow.Output reserve_space_4)