python代码由cpu转成gpu运行

参考文件章1：https://blog.csdn.net/qq_28023365/article/details/87970505
参考文件章2：https://blog.csdn.net/u014636245/article/details/84404646
看起来是通过Numba模块，通过装饰器@jit实现转换
有一块样例代码：

import numpy as np
from numba import jit
import time


@jit
def sum_jit(arr):
    s_time = time.time()
    m = arr.shape[0]
    result = 0.0
    for i in range(m):
        result += arr[i]
    e_time = time.time()
    return (e_time - s_time)


def sum(arr):
    s_time = time.time()
    m = arr.shape[0]
    result = 0.0
    for i in range(m):
        result += arr[i]
    e_time = time.time()
    return (e_time-s_time)


def main():
    n = int(10.0*1e6)
    array = np.random.random(n)
    t1 = sum_jit(array)
    t2 = sum(array)
    print("Time with JIT:", t1)
    print("Time without JIT:", t2)


if __name__ == '__main__':
    main()

运行后的截图如下：

运行前面报了一些错，可能是我机器上是集成显卡的缘故吧，后面还要再细看