cupynumeric.linalg.svd#
- cupynumeric.linalg.svd( ) tuple[ndarray, ...] #
Singular Value Decomposition.
- Parameters:
a ((M, N) array_like) – Array like, at least dimension 2.
full_matrices (bool, optional) – If True (default), u and vh are of shape (M, M), (N, N). If False, the shapes are (M, K) and (K, N), where K = min(M, N).
- Returns:
u ((M, M) array_like) – Unitary array(s).
s ((K) array_like) – The singular values, sorted in descending order
vh ((N, N) array_like) – Unitary array(s).
- Raises:
LinAlgError – If SVD computation does not converge.
Notes
Currently does not support the parameters ‘full_matrices’, ‘compute_uv’, and ‘hermitian’.
See also
- Availability:
Single GPU, Single CPU