`scipy.linalg.blas:get_blas_funcs`

source: /scipy/linalg/blas.py :422

Signature

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

Summary

Return available BLAS function objects from names.

Extended Summary

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
x_gemv = LA.get_blas_funcs('gemv',(a*1j,))
x_gemv.typecode

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Aliases

scipy.linalg.get_blas_funcs