org.bytedeco.javacpp

Class tensorflow.MatrixTriangularSolve

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.MatrixTriangularSolve

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Solves systems of linear equations with upper or lower triangular matrices by backsubstitution. matrix is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices. If lower is True then the strictly upper triangular part of each inner-most matrix is assumed to be zero and not accessed. If lower is False then the strictly lower triangular part of each inner-most matrix is assumed to be zero and not accessed. rhs is a tensor of shape [..., M, K]. The output is a tensor of shape [..., M, K]. If adjoint is True then the innermost matrices in output satisfy matrix equations matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]. If adjoint is False then the strictly then the innermost matrices in output satisfy matrix equations adjoint(matrix[..., i, k]) * output[..., k, j] = rhs[..., i, j]. Arguments: * scope: A Scope object * matrix: Shape is [..., M, M]. * rhs: Shape is [..., M, K]. Optional attributes (see Attrs): * lower: Boolean indicating whether the innermost matrices in matrix are lower or upper triangular. * adjoint: Boolean indicating whether to solve with matrix or its (block-wise) adjoint. \compatibility(numpy) Equivalent to scipy.linalg.solve_triangular \end_compatibility Returns: * Output: Shape is [..., M, K].

Nested Class Summary

Nested Classes

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

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
MatrixTriangularSolve(Pointer p) Pointer cast constructor.
MatrixTriangularSolve(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs)
MatrixTriangularSolve(tensorflow.Scope scope, tensorflow.Input matrix, tensorflow.Input rhs, tensorflow.MatrixTriangularSolve.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
static tensorflow.MatrixTriangularSolve.Attrs	Adjoint(boolean x)
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.MatrixTriangularSolve.Attrs	Lower(boolean x)
tensorflow.Node	node()
tensorflow.Operation	operation()
tensorflow.MatrixTriangularSolve	operation(tensorflow.Operation operation)
tensorflow.Output	output()
tensorflow.MatrixTriangularSolve	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

MatrixTriangularSolve

public MatrixTriangularSolve(Pointer p)

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

MatrixTriangularSolve

public MatrixTriangularSolve(@Const @ByRef
                             tensorflow.Scope scope,
                             @ByVal
                             tensorflow.Input matrix,
                             @ByVal
                             tensorflow.Input rhs)

MatrixTriangularSolve

public MatrixTriangularSolve(@Const @ByRef
                             tensorflow.Scope scope,
                             @ByVal
                             tensorflow.Input matrix,
                             @ByVal
                             tensorflow.Input rhs,
                             @Const @ByRef
                             tensorflow.MatrixTriangularSolve.Attrs attrs)

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()

Lower

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

Adjoint

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.MatrixTriangularSolve operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.MatrixTriangularSolve output(tensorflow.Output output)