【发布时间】：2019-12-13 11:01:26
【问题描述】：
我正在尝试从tensorflow_probability 库中的JointDistributionNamed 创建派生类（tensorflow v2.0.0，tensorflow_probability v0.8.0）。但是，super().__init__ 函数的行为方式很奇怪，我不明白。也许我只是错误地使用了super()，但它似乎可以像我期望的那样对其他类起作用。无论如何，这是一个例子：
from tensorflow_probability import distributions as tfd
models = {'normal': tfd.Normal(loc=0, scale=1)}
joint = tfd.JointDistributionNamed(models) # Works perfectly fine
print("joint:",joint)
class Test(tfd.JointDistributionNamed):
def __init__(self,name,models):
self.myname = name
self.models = models
super().__init__(models) #(1) Works
#super().__init__(self.models) #(2) Doesn't work
t = Test('hello',models)
print("t:", t)
将models 赋予super().__init__ 时的行为是不一样的，无论我只是将models 传入还是先将其分配给self.models。为什么？在后一种情况下，我收到以下错误：
Traceback (most recent call last):
File "test_jointdistnamed.py", line 18, in <module>
t = Test('hello',models)
File "</home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/decorator.py:decorator-gen-244>", line 2, in __init__
File "/home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_probability/python/distributions/distribution.py", line 276, in wrapped_init
default_init(self_, *args, **kwargs)
File "test_jointdistnamed.py", line 16, in __init__
super().__init__(self.models) #doesn't work
File "</home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/decorator.py:decorator-gen-138>", line 2, in __init__
File "/home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_probability/python/distributions/distribution.py", line 276, in wrapped_init
default_init(self_, *args, **kwargs)
File "/home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_probability/python/distributions/joint_distribution_named.py", line 170, in __init__
model, validate_args, name or 'JointDistributionNamed')
File "</home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/decorator.py:decorator-gen-70>", line 2, in __init__
File "/home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_probability/python/distributions/distribution.py", line 276, in wrapped_init
default_init(self_, *args, **kwargs)
File "/home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_probability/python/distributions/joint_distribution_sequential.py", line 211, in __init__
self._model_unflatten(self._model_flatten(model))
File "/home/farmer/anaconda3/envs/tensorflow/lib/python3.7/site-packages/tensorflow_probability/python/distributions/joint_distribution_named.py", line 186, in _model_unflatten
return type(self.model)(**kwargs)
TypeError: __init__() got an unexpected keyword argument 'normal'
这就像它出于某种原因试图在类层次结构中的某处解压models dict。但是为什么这取决于我是否首先分配给self？无论哪种方式，我不是都在传递对完全相同的字典的引用吗？有什么不同吗？这是一个奇怪的错误还是我做错了什么？如果我编写自己的简单自定义类而不是 JointDistributionNamed，那么完全相同的事情似乎也可以正常工作。
【问题讨论】：
标签： python tensorflow2.0 tensorflow-probability