Svd

public final class Svd

Computes the eigen decomposition of a batch of self-adjoint matrices

(Note: Only real inputs are supported).

Computes the eigenvalues and eigenvectors of the innermost M-by-N matrices in tensor such that tensor[...,:,:] = u[..., :, :] * Diag(s[..., :]) * Transpose(v[...,:,:]).

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

static <T extends TType> Svd<T>	create(Scope scope, Operand<T> a, Long maxIter, Float epsilon, String precisionConfig) Factory method to create a class wrapping a new Svd operation.
Output<T>	s() Singular values.
Output<T>	u() Left singular vectors.
Output<T>	v() Right singular vectors.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "XlaSvd"

Public Methods

public static Svd<T> create (Scope scope, Operand<T> a, Long maxIter, Float epsilon, String precisionConfig)

Factory method to create a class wrapping a new Svd operation.

Parameters

scope	current scope
a	the input tensor.
maxIter	maximum number of sweep update, i.e., the whole lower triangular part or upper triangular part based on parameter lower. Heuristically, it has been argued that approximately log(min (M, N)) sweeps are needed in practice (Ref: Golub & van Loan "Matrix Computation").
epsilon	the tolerance ratio.
precisionConfig	a serialized xla::PrecisionConfig proto.

Returns

a new instance of Svd

public Output<T> s ()

Singular values. The values are sorted in reverse order of magnitude, so s[..., 0] is the largest value, s[..., 1] is the second largest, etc.

public Output<T> u ()

Left singular vectors.

public Output<T> v ()

Right singular vectors.