我有一个包含以下两个类的python代码。
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我使用相同的代码实例化了两个类。 import torch
import torch.nn as nn
import torch.nn.functional as F
class QNet_baseline(nn.Module):
"""
A MLP with 2 hidden layer
observation_dim (int): number of observation features
action_dim (int): Dimension of each action
seed (int): Random seed
"""
def __init__(self, observation_dim, action_dim, seed):
super(QNet_baseline, self).__init__()
self.seed = torch.manual_seed(seed)
self.fc1 = nn.Linear(observation_dim, 128)
self.fc2 = nn.Linear(128, 64)
self.fc3 = nn.Linear(64, action_dim)
def forward(self, observations):
"""
Forward propagation of neural network
"""
x = F.relu(self.fc1(observations))
x = F.relu(self.fc2(x))
x = self.fc3(x)
return x
class QNet_3hidden(nn.Module):
"""
A MLP with 3 hidden layer
observation_dim (int): number of observation features
action_dim (int): Dimension of each action
seed (int): Random seed
"""
def __init__(self, observation_dim, action_dim, seed):
super(QNet_3hidden, self).__init__()
self.seed = torch.manual_seed(seed)
self.fc1 = nn.Linear(observation_dim, 128)
self.fc2 = nn.Linear(128, 64)
self.fc3 = nn.Linear(64, 64)
self.fc4 = nn.Linear(64, action_dim)
def forward(self, observations):
"""
Forward propagation of neural network
"""
x = F.relu(self.fc1(observations))
x = F.relu(self.fc2(x))
x = F.relu(self.fc3(x))
x = self.fc4(x)
return x
可以正常工作，但是我遇到了QNet_baseline的以下错误。为什么QNet_3hidden可以工作，但是QNet_baseline却有错误？我在这里想念什么？谢谢！
QNet_3hidden此外，以下是两个类的实例化方式：
/home/workspace/QNetworks.py in __init__(self, observation_dim, action_dim, seed)
44
45 def __init__(self, observation_dim, action_dim, seed):
---> 46 super(QNet_3hidden, self).__init__()
47 self.seed = torch.manual_seed(seed)
48 self.fc1 = nn.Linear(observation_dim, 128)
TypeError: super(type, obj): obj must be an instance or subtype of type
答案 0 :(得分：0)
我遇到了类似的问题，完全重新启动内核有帮助。 正如此Comment by keitakurita中的建议：
<块引用>您是否在 Jupyter notebook 中运行代码并且没有重新启动内核？如果是这样，则您的内核可能引用了错误的类。
我怀疑这可能是我重写类后遇到错误的原因。
这也可以解释为什么这是一个难以重现的错误。以下是类似问题的列表，以帮助跟踪相同的问题：