Computes the eigen decomposition of a batch of matrices.
View aliases
Main aliases
tf.linalg.eig(
tensor, name=None
)
Used in the notebooks
Used in the tutorials |
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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.