tf.linalg.eigh

Computes the eigen decomposition of a batch of self-adjoint matrices.

View aliases

Main aliases

`tf.self_adjoint_eig`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.linalg.eigh, tf.compat.v1.self_adjoint_eig, `tf.compat.v2.linalg.eigh`

tf.linalg.eigh(
    tensor, name=None
)

Computes the eigenvalues and eigenvectors of the innermost N-by-N matrices in tensor such that tensor[...,:,:] * v[..., :,i] = e[..., i] * v[...,:,i], for i=0...N-1.

Args
tensor	Tensor of shape [..., N, N]. Only the lower triangular part of each inner inner matrix is referenced.
name	string, optional name of the operation.

Returns
e	Eigenvalues. Shape is [..., N]. Sorted in non-decreasing order.
v	Eigenvectors. Shape is [..., N, N]. The columns of the inner most matrices contain eigenvectors of the corresponding matrices in tensor