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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.
Args | |
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tensor
|
Tensor of shape [..., N, N]. Only the lower triangular part of
each inner inner matrix is referenced.
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name
|
string, optional name of the operation. |
Returns | |
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e
|
Eigenvalues. Shape is [..., N]. Sorted in non-decreasing order.
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v
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Eigenvectors. Shape is [..., N, N]. The columns of the inner most
matrices contain eigenvectors of the corresponding matrices in tensor
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