Svd

public final class Svd

Computes the singular value decompositions of one or more matrices.

Computes the SVD of each inner matrix in `input` such that `input[..., :, :] = u[..., :, :] * diag(s[..., :, :]) * transpose(v[..., :, :])`

# a is a tensor containing a batch of matrices.
 # s is a tensor of singular values for each matrix.
 # u is the tensor containing the left singular vectors for each matrix.
 # v is the tensor containing the right singular vectors for each matrix.
 s, u, v = svd(a)
 s, _, _ = svd(a, compute_uv=False)

Nested Classes

class Svd.Options Optional attributes for Svd

Constants

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

Public Methods

static Svd.Options	computeUv(Boolean computeUv)
static <T extends TType> Svd<T>	create(Scope scope, Operand<T> input, Options... options) Factory method to create a class wrapping a new Svd operation.
static Svd.Options	fullMatrices(Boolean fullMatrices)
Output<T>	s() Singular values.
Output<T>	u() Left singular vectors.
Output<T>	v() Left 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: "Svd"

Public Methods

public static Svd.Options computeUv (Boolean computeUv)

Parameters

computeUv	If true, left and right singular vectors will be computed and returned in `u` and `v`, respectively. If false, `u` and `v` are not set and should never referenced.

public static Svd<T> create (Scope scope, Operand<T> input, Options... options)

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

Parameters

scope	current scope
input	A tensor of shape `[..., M, N]` whose inner-most 2 dimensions form matrices of size `[M, N]`. Let `P` be the minimum of `M` and `N`.
options	carries optional attributes values

Returns

a new instance of Svd

public static Svd.Options fullMatrices (Boolean fullMatrices)

Parameters

fullMatrices	If true, compute full-sized `u` and `v`. If false (the default), compute only the leading `P` singular vectors. Ignored if `compute_uv` is `False`.

public Output<T> s ()

Singular values. Shape is `[..., P]`.

public Output<T> u ()

Left singular vectors. If `full_matrices` is `False` then shape is `[..., M, P]`; if `full_matrices` is `True` then shape is `[..., M, M]`. Undefined if `compute_uv` is `False`.

public Output<T> v ()

Left singular vectors. If `full_matrices` is `False` then shape is `[..., N, P]`. If `full_matrices` is `True` then shape is `[..., N, N]`. Undefined if `compute_uv` is false.