scipy.linalg.

find_best_blas_type#

scipy.linalg.find_best_blas_type(arrays=(), dtype=None)[source]#

Find best-matching BLAS/LAPACK type.

Arrays are used to determine the optimal prefix of BLAS routines.

Parameters:

arrayssequence of ndarrays, optional: Arrays can be given to determine optimal prefix of BLAS routines. If not given, double-precision routines will be used, otherwise the most generic type in arrays will be used.
dtypestr or dtype, optional: Data-type specifier. Not used if arrays is non-empty.

Returns:

prefixstr: BLAS/LAPACK prefix character.
dtypedtype: Inferred Numpy data type.
prefer_fortranbool: Whether to prefer Fortran order routines over C order.

Examples

>>> import numpy as np
>>> import scipy.linalg.blas as bla
>>> rng = np.random.default_rng()
>>> a = rng.random((10,15))
>>> b = np.asfortranarray(a)  # Change the memory layout order
>>> bla.find_best_blas_type((a,))
('d', dtype('float64'), False)
>>> bla.find_best_blas_type((a*1j,))
('z', dtype('complex128'), False)
>>> bla.find_best_blas_type((b,))
('d', dtype('float64'), True)