org.bytedeco.javacpp

Class tensorflow.MatrixSolve

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.MatrixSolve

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Solves systems of linear equations. Matrix is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices. Rhs is a tensor of shape [..., M, K]. The output is a tensor shape [..., M, K]. If adjoint is False then each output matrix satisfies matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]. If adjoint is True then each output matrix satisfies adjoint(matrix[..., :, :]) * output[..., :, :] = rhs[..., :, :]. Arguments: * scope: A Scope object * matrix: Shape is [..., M, M]. * rhs: Shape is [..., M, K]. Optional attributes (see Attrs): * adjoint: Boolean indicating whether to solve with matrix or its (block-wise) adjoint. Returns: * Output: Shape is [..., M, K].

Nested Class Summary

Nested Classes

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

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

Method Summary

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

MatrixSolve

public MatrixSolve(Pointer p)

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

MatrixSolve

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

MatrixSolve

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

Adjoint

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.MatrixSolve operation(tensorflow.Operation operation)

output

@ByRef
public tensorflow.Output output()

output

public tensorflow.MatrixSolve output(tensorflow.Output output)