如何嵌套numba jitclass [英] How to nest numba jitclass

问题描述

我试图了解@jitclass装饰器如何与嵌套类一起使用.我写了两个虚拟类:fifi和toto fifi具有toto属性.这两个类都具有@jitclass装饰器，但是编译失败.这是代码:

I'm trying to understand how the @jitclass decorator works with nested classes. I have written two dummy classes: fifi and toto fifi has a toto attribute. Both classes have the @jitclass decorator but compilation fails. Here's the code:

fifi.py

from numba import jitclass, float64
from toto import toto

spec = [('a',float64),('b',float64),('c',toto)]

@jitclass(spec)
class fifi(object):
  def __init__(self, combis):
    self.a = combis
    self.b = 2
    self.c = toto(combis)

  def mySqrt(self,x):
    s = x
    for i in xrange(self.a):
      s = (s + x/s) / 2.0
    return s

toto.py:

from numba import jitclass,int32

spec = [('n',int32)]

@jitclass(spec)
class toto(object):
  def __init__(self,n):
    self.n = 42 + n

  def work(self,y):
    return y + self.n

启动代码的脚本:

from datetime import datetime
from fifi import fifi
from numba import jit

@jit(nopython = True)
def run(n,results):
  for i in xrange(n):
    q = fifi(200)
    results[i+1] = q.mySqrt(i + 1)

if __name__ == '__main__':
  n = int(1e6)
  results = [0.0] * (n+1)
  starttime = datetime.now()
  run(n,results)
  endtime = datetime.now()

  print("Script running time: %s"%str(endtime-starttime))
  print("Sqrt of 144 is %f"%results[145])

运行脚本时，我得到[...]

When I run the script, I get [...]

TypingError:未键入的全局名称"toto" 文件"fifi.py"，第11行

TypingError: Untyped global name 'toto' File "fifi.py", line 11

请注意，如果我删除了"fifi"中对"toto"的任何引用，则代码可以正常工作，并且由于使用了numba，我的速度提高了x16.

Note that if I remove any reference to 'toto' in 'fifi', the code works fine and I get a x16 speed up thanks to numba.

推荐答案

可以将jitclass用作另一个jitclass的成员，尽管这样做的方法没有得到很好的记录.您需要使用deferred_type实例.这可以在Numba 0.27或更早的版本中使用.将fifi.py更改为:

It is possible to use a jitclass as a member of another jitclass, although the way of doing this isn't well documented. You need to use a deferred_type instance. This works in Numba 0.27 and possibly earlier. Change fifi.py to:

from numba import jitclass, float64, deferred_type
from toto import toto

toto_type = deferred_type()
toto_type.define(toto.class_type.instance_type)

spec = [('a',float64),('b',float64),('c',toto_type)]

@jitclass(spec)
class fifi(object):
  def __init__(self, combis):
    self.a = combis
    self.b = 2
    self.c = toto(combis)

  def mySqrt(self,x):
    s = x
    for i in xrange(self.a):
      s = (s + x/s) / 2.0
    return s

然后我得到输出:

$ python test.py
Script running time: 0:00:01.991600
Sqrt of 144 is 12.041595

可以在一些更高级的jitclass数据结构示例中看到此功能，例如:

This functionality can be seen in some of the more advanced jitclass examples of data structures, for example:

• stack.py
• linkedlist.py
• binarytree.py

• stack.py
• linkedlist.py
• binarytree.py

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