计算矩阵向量乘法与CUDA蟒蛇

Question

我试图用numbapro写下面一个简单的矩阵向量乘法：

from numbapro import cuda 
from numba import * 
import numpy as np 
import math 
from timeit import default_timer as time 

m = 100000 
n = 100 

@cuda.jit('void(f4[:,:], f4[:], f4[:])') 
def cu_matrix_vector(A, b, c): 
    row = cuda.grid(1) 
    if (row < m): 
     sum = 0 

     for i in range(n): 
      sum += A[row, i] * b[i] 

     c[row] = sum 

A = np.array(np.random.random((m, n)), dtype=np.float32) 
B = np.array(np.random.random(m), dtype=np.float32) 
C = np.empty_like(B) 

s = time() 
dA = cuda.to_device(A) 
dB = cuda.to_device(B) 
dC = cuda.to_device(C) 

cu_matrix_vector[(m+511)/512, 512](dA, dB, dC) 

dC.to_host() 

print (C) 

但是，当我开始运行我在功能上得到一个错误** ** cu_matrix_vector说法2：错误的类型

cu_matrix_vector[(m+511)/512, 512](dA, dB, dC) File "C:\Anaconda3\lib\site-packages\numba\cuda\compiler.py", line 359, in call sharedmem=self.sharedmem) File "C:\Anaconda3\lib\site-packages\numba\cuda\compiler.py", line 433, in _kernel_call cu_func(*kernelargs) File "C:\Anaconda3\lib\site-packages\numba\cuda\cudadrv\driver.py", line 1116, in call self.sharedmem, streamhandle, args) File "C:\Anaconda3\lib\site-packages\numba\cuda\cudadrv\driver.py", line 1160, in launch_kernel None) File "C:\Anaconda3\lib\site-packages\numba\cuda\cudadrv\driver.py", line 221, in safe_cuda_api_call retcode = libfn(*args) ctypes.ArgumentError: argument 2: : wrong type

Answer 1

的问题就在这里：

cu_matrix_vector[(m+511)/512, 512](dA, dB, dC) 

在Python 3，(m+511)/512 = 196.310546875。将浮点值作为启动参数传递是非法的，这是您所看到的类型冲突错误的来源。你想这样做：

cu_matrix_vector[(m+511)//512, 512](dA, dB, dC) 

这将产生一个整数值，并应允许代码正确运行。