org.bytedeco.javacpp

Class tensorflow.CholeskyGrad

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.CholeskyGrad

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Computes the reverse mode backpropagated gradient of the Cholesky algorithm. For an explanation see "Differentiation of the Cholesky algorithm" by Iain Murray http://arxiv.org/abs/1602.07527. Arguments: * scope: A Scope object * l: Output of batch Cholesky algorithm l = cholesky(A). Shape is [..., M, M]. Algorithm depends only on lower triangular part of the innermost matrices of this tensor. * grad: df/dl where f is some scalar function. Shape is [..., M, M]. Algorithm depends only on lower triangular part of the innermost matrices of this tensor. Returns: * Output: Symmetrized version of df/dA . Shape is [..., M, M]

Nested Class Summary

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
CholeskyGrad(Pointer p) Pointer cast constructor.
CholeskyGrad(tensorflow.Scope scope, tensorflow.Input l, tensorflow.Input grad)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.CholeskyGrad	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.CholeskyGrad	output(tensorflow.Output output)

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

CholeskyGrad

public CholeskyGrad(Pointer p)

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

CholeskyGrad

public CholeskyGrad(@Const @ByRef
                    tensorflow.Scope scope,
                    @ByVal
                    tensorflow.Input l,
                    @ByVal
                    tensorflow.Input grad)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.CholeskyGrad operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.CholeskyGrad output(tensorflow.Output output)