tf.linalg.eigvals

Computes the eigenvalues of one or more matrices.

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Main aliases

tf.eigvals

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

Note: If your program backpropagates through this function, you should replace it with a call to tf.linalg.eig (possibly ignoring the second output) to avoid computing the eigen decomposition twice. This is because the eigenvectors are used to compute the gradient w.r.t. the eigenvalues. See _SelfAdjointEigV2Grad in linalg_grad.py.

Args
tensor	Tensor of shape [..., N, N].
name	string, optional name of the operation.

Returns
e	Eigenvalues. Shape is [..., N]. The vector e[..., :] contains the N eigenvalues of tensor[..., :, :].