org.bytedeco.javacpp

Class tensorflow.Cholesky

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.Cholesky

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

\defgroup linalg_ops Linalg Ops \{

Computes the Cholesky decomposition of one or more square matrices. The input is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices. The input has to be symmetric and positive definite. Only the lower-triangular part of the input will be used for this operation. The upper-triangular part will not be read. The output is a tensor of the same shape as the input containing the Cholesky decompositions for all input submatrices [..., :, :]. **Note**: The gradient computation on GPU is faster for large matrices but not for large batch dimensions when the submatrices are small. In this case it might be faster to use the CPU. Arguments: * scope: A Scope object * input: Shape is [..., M, M]. Returns: * Output: 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
Cholesky(Pointer p) Pointer cast constructor.
Cholesky(tensorflow.Scope scope, tensorflow.Input input)

Method Summary

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

Cholesky

public Cholesky(Pointer p)

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

Cholesky

public Cholesky(@Const @ByRef
                tensorflow.Scope scope,
                @ByVal
                tensorflow.Input input)

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.Cholesky operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.Cholesky output(tensorflow.Output output)