cupynumeric.linalg.eigvals#

cupynumeric.linalg.eigvals( a: ndarray, ) → ndarray#

Compute the eigenvalues of a square array.

Parameters:: a ((..., M, M) array_like) – Matrices for which the eigenvalues will be computed, at least dimension 2.
Returns:: w – The eigenvalues, each repeated according to its multiplicity.
Return type:: (…, M) array_like
Raises:: LinAlgError – If the eigenvalue computation does not converge.

Notes

Unlike NumPy, cuPyNumeric always returns complex-dtype results, even if the imaginary part is zero.

Multi-GPU/CPU usage is limited to data parallel matrix-wise batching.