public final class
SelfAdjointEig
Computes the eigen decomposition of one or more square self-adjoint matrices.
Computes the eigenvalues and (optionally) 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 = self_adjoint_eig(a)
e = self_adjoint_eig(a, compute_v=False)
Nested Classes
| class | SelfAdjointEig.Options | Optional attributes for SelfAdjointEig
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static SelfAdjointEig.Options |
computeV(Boolean computeV)
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| static <T extends TType> SelfAdjointEig<T> |
create(Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new SelfAdjointEig operation.
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| Output<T> |
e()
Eigenvalues.
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| Output<T> |
v()
Eigenvectors.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SelfAdjointEigV2"
Public Methods
public static SelfAdjointEig.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 SelfAdjointEig<T> create (Scope scope, Operand<T> input, Options... options)
Factory method to create a class wrapping a new SelfAdjointEig operation.
Parameters
| scope | current scope |
|---|---|
| input | `Tensor` input of shape `[N, N]`. |
| options | carries optional attributes values |
Returns
- a new instance of SelfAdjointEig