find_best_blas_type(arrays=(), dtype=None)

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

Parameters

arrays : sequence 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.

dtype : str or dtype, optional

Data-type specifier. Not used if :None:None:`arrays` is non-empty.

Returns

prefix : str

BLAS/LAPACK prefix character.

dtype : dtype

Inferred Numpy data type.

prefer_fortran : bool

Whether to prefer Fortran order routines over C order.

Find best-matching BLAS/LAPACK type.

Examples

>>> 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)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.linalg.blas.find_best_blas_type

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