我想使用joblib.Memory
库来缓存类的成员函数的输出。以下是示例代码:
import joblib
import numpy as np
mem = joblib.Memory(cachedir='/tmp', verbose=1)
@mem.cache
def my_sum(x):
return np.sum(x)
class TestClass(object):
def __init__(self):
pass
@mem.cache
def my_sum(self, x):
return np.sum(x)
if __name__ == '__main__':
x = np.array([1, 2, 3, 4])
a = TestClass()
print a.my_sum(x) # does not work
print my_sum(x) # works fine
但是,我收到以下错误:
/nfs/sw/anaconda2/lib/python2.7/site-packages/joblib/memory.pyc in _get_output_dir(self, *args, **kwargs)
512 of the function called with the given arguments.
513 """
--> 514 argument_hash = self._get_argument_hash(*args, **kwargs)
515 output_dir = os.path.join(self._get_func_dir(self.func),
516 argument_hash)
/nfs/sw/anaconda2/lib/python2.7/site-packages/joblib/memory.pyc in _get_argument_hash(self, *args, **kwargs)
505 def _get_argument_hash(self, *args, **kwargs):
506 return hashing.hash(filter_args(self.func, self.ignore,
--> 507 args, kwargs),
508 coerce_mmap=(self.mmap_mode is not None))
509
/nfs/sw/anaconda2/lib/python2.7/site-packages/joblib/func_inspect.pyc in filter_args(func, ignore_lst, args, kwargs)
228 repr(args)[1:-1],
229 ', '.join('%s=%s' % (k, v)
--> 230 for k, v in kwargs.items())
231 )
232 )
ValueError: Wrong number of arguments for my_sum(self, x):
my_sum(array([1, 2, 3, 4]), ) was called.
有没有办法使用Memory或任何其他装饰器来缓存类的成员函数?
答案 0 :(得分:8)
以下摘录摘自https://joblib.readthedocs.io/en/latest/memory.html#gotchas
缓存方法:你不能在类定义中修饰一个方法, 因为当实例化类时,第一个参数(self)是 绑定,并且不再可以访问Memory对象。下列 代码不起作用:
class Foo(object): @mem.cache # WRONG def method(self, args): pass
正确的方法是在实例化时装饰:
class Foo(object): def __init__(self, args): self.method = mem.cache(self.method) def method(self, ...): pass