dpnp.linalg.matrix_rank

dpnp.linalg.matrix_rank(input, tol=None, hermitian=False)[source]

Return matrix rank of array Rank of the array is the number of singular values of the array that are greater than tol.

Parameters

  • M ({(M,), (..., M, N)} array_like) – Input vector or stack of matrices.

  • tol ((...) array_like, float, optional) – Threshold below which SVD values are considered zero. If tol is None, and S is an array with singular values for M, and eps is the epsilon value for datatype of S, then tol is set to S.max() * max(M.shape) * eps.

  • hermitian (bool, optional) – If True, M is assumed to be Hermitian (symmetric if real-valued), enabling a more efficient method for finding singular values. Defaults to False.

Returns

rank – Rank of M.

Return type

(…) array_like