python numba jit 的效率

10w左右数据量，不加jit效率高，

100w左右数据量，加了jit效果高8倍以上

40w左右数据量，效率持平

      from numba import jit
      from numpy import arange
      import datetime
      len=399999
      @jit
      def sumjit(arr):
       M, N = arr.shape
       result = 0.0
      for i in range(M):
      for j in range(N):
       result += arr[i, j]
      return result
      a = arange(len).reshape(len//3, 3)
      start = datetime.datetime.now()
      print(sumjit(a))
      print ("jit",(datetime.datetime.now()-start).microseconds)
      def sum2d(arr):
       M, N = arr.shape
       result = 0.0
      for i in range(M):
      for j in range(N):
       result += arr[i, j]
      return result
      a = arange(len).reshape(len//3, 3)
      start = datetime.datetime.now()
      print(sum2d(a))
      print ("noj",(datetime.datetime.now()-start).microseconds)
  
 

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原文链接：blog.csdn.net/jacke121/article/details/78307580