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Module « scipy.linalg »

Fonction get_blas_funcs - module scipy.linalg

Signature de la fonction get_blas_funcs

def get_blas_funcs(names, arrays=(), dtype=None, ilp64=False) 

Description

help(scipy.linalg.get_blas_funcs)

Return available BLAS function objects from names.

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

Parameters
----------
names : str or sequence of str
    Name(s) of BLAS functions without type prefix.

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 `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
-------
funcs : list
    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 numpy as np
>>> 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'

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