scipy.linalg.blas.
find_best_blas_type#
- scipy.linalg.blas.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)