Eig

public final class Eig

Computes the eigen decomposition of one or more square matrices.

Computes the eigenvalues and (optionally) right eigenvectors of each inner matrix in `input` such that `input[..., :, :] = v[..., :, :] * diag(e[..., :])`. The eigenvalues are sorted in non-decreasing order. 

# a is a tensor.
 # e is a tensor of eigenvalues.
 # v is a tensor of eigenvectors.
 e, v = eig(a)
 e = eig(a, compute_v=False)

Nested Classes

class Eig.Options Optional attributes for Eig  

Public Methods

static Eig.Options
computeV(Boolean computeV)
static <U, T> Eig<U>
create(Scope scope, Operand<T> input, Class<U> Tout, Options... options)
Factory method to create a class wrapping a new Eig operation.
Output<U>
e()
Eigenvalues.
Output<U>
v()
Eigenvectors.

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
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()

Public Methods

public static Eig.Options computeV (Boolean computeV)

Parameters
computeV If `True` then eigenvectors will be computed and returned in `v`. Otherwise, only the eigenvalues will be computed.

public static Eig<U> create (Scope scope, Operand<T> input, Class<U> Tout, Options... options)

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

Parameters
scope current scope
input `Tensor` input of shape `[N, N]`.
options carries optional attributes values
Returns
  • a new instance of Eig

public Output<U> e ()

Eigenvalues. Shape is `[N]`.

public Output<U> v ()

Eigenvectors. Shape is `[N, N]`.