向量化与for循环耗时对比

import time
import numpy as np
a = np.random.rand(1000000)
b = np.random.rand(1000000)

tic = time.time()
c = np.dot(a,b)
toc = time.time()
print(c)
print("Vectorized version: " , str(1000*(toc-tic)) + "ms")

c = 0
tic1 = time.time()
for i in range(1000000):
    c += a[i]*b[i]
toc1 = time.time()
print(c)
print("For loop version: " , str(1000*(toc1-tic1)) + "ms")

import numpy as np
import time
a = np.random.rand(1000000)
b = np.random.rand(1000000)
tic = time.time()

c = np.dot(a,b)
toc = time.time()
print©
print(“vectorized version:” + str((toc-tic))+“s”)

c1 = 0
tic = time.time()
for i in range(1000000):
c1 += a[i]*b[i]
toc = time.time()
print(c1)
print(“Nonvectorized version:” + str(toc-tic)+“s”)