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
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|
Public Methods
| static Eig.Options |
computeV(Boolean computeV)
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| 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.
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| Output<U> |
e()
Eigenvalues.
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| Output<U> |
v()
Eigenvectors.
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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