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. |