tf.raw_ops.Eig

Stay organized with collections Save and categorize content based on your preferences.

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)

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).

A tuple of Tensor objects (e, v).
e A Tensor of type Tout.
v A Tensor of type Tout.