scipy.linalg.get_blas_funcs#
- scipy.linalg.get_blas_funcs(names, arrays=(), dtype=None, ilp64=False)[source]#
Return available BLAS function objects from names.
Arrays are used to determine the optimal prefix of BLAS routines.
- Parameters
- namesstr or sequence of str
Name(s) of BLAS functions without type prefix.
- 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.
- ilp64{True, False, ‘preferred’}, optional
Whether to return ILP64 routine variant. Choosing ‘preferred’ returns ILP64 routine if available, and otherwise the 32-bit routine. Default: False
- Returns
- funcslist
List containing the found function(s).
Notes
This routine automatically chooses between Fortran/C interfaces. Fortran code is used whenever possible for arrays with column major order. In all other cases, C code is preferred.
In BLAS, the naming convention is that all functions start with a type prefix, which depends on the type of the principal matrix. These can be one of {‘s’, ‘d’, ‘c’, ‘z’} for the NumPy types {float32, float64, complex64, complex128} respectively. The code and the dtype are stored in attributes typecode and dtype of the returned functions.
Examples
>>> import scipy.linalg as LA >>> rng = np.random.default_rng() >>> a = rng.random((3,2)) >>> x_gemv = LA.get_blas_funcs('gemv', (a,)) >>> x_gemv.typecode 'd' >>> x_gemv = LA.get_blas_funcs('gemv',(a*1j,)) >>> x_gemv.typecode 'z'