不符合题意，更改

1/main.py

-from numba import jit
-from numpy import arange
+
+import cupy as cp 
+import numpy as np
 import time
 
-@jit
-def numba_sum(arr):
-    M, N = arr.shape
-    result = 0.0
-    for i in range(M):
-        for j in range(N):
-            result += arr[i,j]
-    return result
 
-def sum(arr):
-    M, N = arr.shape
-    result = 0.0
-    for i in range(M):
-        for j in range(N):
-            result += arr[i,j]
-    return result
+def matrix_add(matrix, a, b, times):
+    #矩阵的相加
+    for _ in range(times):
+        c = matrix.add(a,b)
+    return c
+    
+
 
 if __name__ == "__main__":
-    a = arange(9).reshape(3,3)
+
+    h, w = 10000, 10000
+    a = np.random.normal(size=h*w)
+    a = a.reshape((h,w))
+    b = np.random.normal(size=h*w)
+    b = b.reshape((h,w))
     start_time = time.time()
-    for i in range(10000000):
-        numba_sum(a)
+    matrix_add(np, a, b, 100)
     end_time = time.time()
-    print ("使用numba：", end_time - start_time)
+    print("使用numpy(cpu): {0} sec".format(end_time-start_time))
 
+    a = cp.random.normal(size=h*w)
+    a = a.reshape((h,w))
+    b = cp.random.normal(size=h*w)
+    b = b.reshape((h,w))
     start_time = time.time()
-    for i in range(10000000):
-        sum(a)
+    matrix_add(cp, a, b, 100)
     end_time = time.time()
-    print ("使用cpu：", end_time - start_time)
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+    print("使用cupy(gpu): {0} sec".format(end_time-start_time))
+    
+    
+    

1/readme.md

@@ -6,4 +6,4 @@ Cupy是使用NVIDIA CUDA核心进行加速运算，因为GPU上有好多CUDA核
 代码:[main.py](main.py)
 
 结果：
-![](res1.png)
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+![](res1.jpg)
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Readme.md

+http://47.94.6.102/113/mozheng-homework
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