View source on GitHub |
Computes the eigen decomposition of a batch of matrices.
tf.eig(
tensor, name=None
)
The eigenvalues and eigenvectors for a non-Hermitian matrix in general are complex. The eigenvectors are not guaranteed to be linearly independent.
Computes the eigenvalues and right eigenvectors of the innermost
N-by-N matrices in tensor
such that
tensor[...,:,:] * v[..., :,i] = e[..., i] * v[...,:,i]
, for i=0...N-1.
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.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