Computes the eigen decomposition of one or more square matrices.
tf.raw_ops.Eig(
input, Tout, compute_v=True, name=None
)
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)
Args | |
|---|---|
input
|
A Tensor. Must be one of the following types: float32, float64, complex64, complex128.
Tensor input of shape [N, N].
|
Tout
|
A tf.DType from: tf.complex64, tf.complex128.
|
compute_v
|
An optional bool. Defaults to True.
If True then eigenvectors will be computed and returned in v.
Otherwise, only the eigenvalues will be computed.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A tuple of Tensor objects (e, v).
|
|
e
|
A Tensor of type Tout.
|
v
|
A Tensor of type Tout.
|