在Cython中将复杂的numpy数组传递给C++

此错误消息告诉您发生了什么问题:

小地毯pyx:17:27:无法将类型“double complex*”分配给“double*”

也就是说,您有一个来自numpy的双复数指针(指向complex128 numpy dtype的指针),您试图使用双指针将其传递到C++函数中。C++需要能够处理复数,因此如果您更改double*->复杂这应该可以解决你的问题

void mult(double *M, double *N, double *Q)

成为

#include <complex>
void mult(std::complex<double> *M, std::complex<double> *N, std::complex<double> *Q)

numpy矩阵乘法是否不足以满足您的用例?Cython可能有点过头了。

编辑:好的,我终于找到了一些东西,处理C++std::复杂和C double \u复杂类型有点奇怪。

cppmul公司。pyx:

import numpy as np
cimport numpy as np

cdef extern from "./matmult.h" nogil:
    void mult(np.complex128_t* M, np.complex128_t* N, np.complex128_t* Q)

def sim():
    cdef:
        np.ndarray[np.complex128_t,ndim=2] N = np.zeros(( 2 , 2 ), dtype=np.complex128)
        np.ndarray[np.complex128_t,ndim=2] Q = np.zeros(( 2 , 2 ), dtype=np.complex128)
        np.ndarray[np.complex128_t,ndim=2] M = np.zeros(( 2 , 2 ), dtype=np.complex128)

    N = np.array([[1.1 + 2j,2.2],[3.3,4.4]])
    Q = np.array([[3.3,4.4+5j],[5.5,6.6]])

    mult(&M[0,0], &N[0,0], &Q[0,0])
    print M

马特穆尔。c:

#include "matmult.h"

void mult(complex_t *M, complex_t *N, complex_t *Q)
{
  complex_t P[2][2], A[2][2], B[2][2];

  for (int i=0; i<2; i++)
  {
    for (int j=0; j<2; j++)
    {
      A[i][j] = *( N + ((2*i) + j) );
      B[i][j] = *( Q + ((2*i) + j) );
      P[i][j] = 0;
    }
  }

  for (int i=0; i<2; i++)
  {
    for (int j=0; j<2; j++)
    {
      for (int k=0; k<2; k++)
      {
         P[i][j] += A[i][k]*B[k][i];
      }
    }
  }

  for (int i=0; i<2; i++)
  {
    for (int j=0; j<2; j++)
    {
      *( M + ((2*i) + j) ) = P[i][j];
    }
  }
}

马特穆特。h:

#include <complex.h>

typedef double _Complex complex_t;
void mult(complex_t *M, complex_t *N, complex_t *Q);

设置。py:

from distutils.core import setup
from Cython.Build import cythonize
from distutils.extension import Extension
import numpy as np

sourcefiles = ['cppmul.pyx', 'matmult.c']

extensions = [Extension("cppmul",
                        sourcefiles,
                        include_dirs=[np.get_include()],
                        extra_compile_args=['-O3']
)]

setup(
    ext_modules = cythonize(extensions)
)

运行后 python setup.py build_ext --inplace 它按预期导入和运行

import cppmul
cppmul.sim()

结果:

[[15.73 +6.6j 15.73 +6.6j]
 [43.56+16.5j 43.56+16.5j]]

试试这个

    #include "matmult.h"
 using namespace std;

int main(){}

void mult(double *M, double *N, double *Q)
{
 double P[2][2], A[2][2], B[2][2];

 for (int i=0; i<2; i++)
 {
for (int j=0; j<2; j++)
{
  A[i][j] = *( N + ((2*i) + j) );
  B[i][j] = *( Q + ((2*i) + j) );
  P[i][j] = 0;      
  }
  }

  for (int i=0; i<2; i++)
  {
    for (int j=0; j<2; j++)
    {
    for (int k=0; k<2; k++)
    {
       P[i][j] += A[i][k]*B[k][i];  
     }
 }
}  

for (int i=0; i<2; i++)
 {
  for (int j=0; j<2; j++)
  {
  *(  ((2*i) + j) )+ M = P[i][j];      
  }
 }
}