RuntimeError: __class__ not set defining
Chengjlzzz opened this issue · comments
Dear author:
Thanks for your sharing! When I ran main.py, I got an error:
Traceback (most recent call last):
File "E:/User002/Online-3D-BPP-PCT-main/main.py", line 6, in
from model import *
File "E:\User002\Online-3D-BPP-PCT-main\model.py", line 4, in
from attention_model import AttentionModel
File "E:\User002\Online-3D-BPP-PCT-main\attention_model.py", line 9, in
class AttentionModelFixed(NamedTuple):
RuntimeError: class not set defining 'AttentionModelFixed' as <class 'attention_model.AttentionModelFixed'>. Was classcell propagated to type.new?
Process finished with exit code 1
python3.8
pytorch1.9.0
I have the same error, and my training environment is python 3.8.5 and pytorch 1.7.1.
I have the same error, and my training environment is python 3.8.5 and pytorch 1.7.1.
I find this problem may be caused due to the version of python and super() function of NamedTuple, and I change the line
Online-3D-BPP-PCT/attention_model.py
Line 25 in de50b18
return tuple.__getitem__(self, key), and luckily, it works. But I don't know if this modification will change the result of the code.
Sorry for the delayed reply due to tons of things, the version I'm using is: Python == 3.7.7, torch == 1.10.1, this works on my computer. Hope this helps you.
I have the same error, and my training environment is python 3.8.5 and pytorch 1.7.1.
I find this problem may be caused due to the version of python and super() function of NamedTuple, and I change the line
Online-3D-BPP-PCT/attention_model.py
Line 25 in de50b18
to
return tuple.__getitem__(self, key)
, and luckily, it works. But I don't know if this modification will change the result of the code.
Thanks, it works.
Sorry for the delayed reply due to tons of things, the version I'm using is: Python == 3.7.7, torch == 1.10.1, this works on my computer. Hope this helps you.
Thanks a lot!
Thanks for this thread, helped me a lot