我使用了像对象这样的自定义词典来轻松存储Dask图的结果,但是使用结果对象计算Dask图却不计算其子级。
是否可以更改自定义对象,使Dask能够遍历并计算其子对象?
一个例子:
import dask
import dask.delayed as delayed
from collections import defaultdict
print('Dask version', dask.__version__)
Dictionary1 = {}
Dictionary1['a'] = delayed(sum)([2,3])
print('Native Dict', dask.compute(Dictionary1) )
Dictionary2 = defaultdict(defaultdict)
Dictionary2['a'] = delayed(sum)([2,3])
print('Custom Dict', dask.compute(Dictionary2) )
结果输出:
Dask version 0.19.2
Native Dict ({'a': 5},)
Custom Dict (defaultdict(<class 'collections.defaultdict'>, {'a': Delayed('sum-212db0df-1c14-4314-9a56-2eb87ef58abe')}),)
编辑:基于MRocklin答案的解决方案
import dask
import dask.delayed as delayed
from collections import defaultdict
from dask.base import DaskMethodsMixin
class DefaultDictDict(defaultdict, DaskMethodsMixin):
def __init__(self, *args ): ## Define an infinite nested dict.
return defaultdict.__init__(self, DefaultDictDict, *args)
def __dask_graph__(self):
## NOTE: Errors in this functions are silent, and disable collections interface
## The dask attributes are already a graph with key to itself.
a = dict()
self._keys = []
for x in self.values():
if not hasattr(x,'dask'): ## Use dummy delayed to convert objects to graphs.
x = delayed(lambda data:data)(x)
a.update(x.dask)
self._keys.append(x.key)
return a
def __dask_keys__(self):
return self._keys
__dask_scheduler__ = staticmethod(dask.threaded.get)
def __dask_postcompute__(self):
def Reconstruct(results):
return DefaultDictDict(zip(self.keys(), results))
return Reconstruct, ()
Dictionary3 = DefaultDictDict()
Dictionary3['b']['c'] = delayed(sum)([2,3])
print('Collections Dict', dask.compute(Dictionary3)[0] )
结果:
Collections Dict defaultdict(<class '__main__.DefaultDictDict'>, {'b': defaultdict(<class '__main__.DefaultDictDict'>, {'c': 5})})
(它仍然显示defaultdict
,因为__repr__
未被正确覆盖)
答案 0 :(得分:1)
目前,Dask仅遍历标准的核心Python集合(字典,列表等)。截至2018年10月7日,此行为不可扩展。
但是,您可以创建自己的Dask集合,这些集合实际上只是传递其成员的图形和键。参见http://docs.dask.org/en/latest/custom-collections.html