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
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