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

Constants

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

Public Methods

static Eig.Options
computeV (Boolean computeV)
static <U extends TType > Eig <U>
create ( Scope scope, Operand <? extends TType > 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

Constants

public static final String OP_NAME

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

Constant Value: "Eig"

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 <? extends TType > 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]`.