scipy.linalg.blas.find_best_blas_type

scipy.linalg.blas.find_best_blas_type(arrays=(), dtype=None)

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

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>>> 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)

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