Error and warning when running eval.py and detect.py

[StrongerzZ]

Error when running eval.py and detect.py:
File "D:\NNDL_pytorch\a-PyTorch-Tutorial-to-Object-Detection-master\model.py", line 499, in detect_objects
suppress = torch.max(suppress, overlap[box] > max_overlap)
RuntimeError: Expected object of scalar type Byte but got scalar type Bool for argument #2 'other'

Is there a problem with the use of torch.max()？

Warning when running eval.py and detect.py:
G:\NNDL\Anaconda3\envs\SSD\lib\site-packages\torch\serialization.py:453: SourceChangeWarning: source code of class 'model.SSD300' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)
G:\NNDL\Anaconda3\envs\SSD\lib\site-packages\torch\serialization.py:453: SourceChangeWarning: source code of class 'model.VGGBase' has changed. you can retrieve the original source code by accessing the object's source attribute or set torch.nn.Module.dump_patches = True and use the patch tool to revert the changes.
warnings.warn(msg, SourceChangeWarning)

Can someone help me solve this?
I use python3.7.6 and pytorch1.2.0
Thanks a lot!

[JerryLi06]

I solved the same problem by refering to #24. You may have a try

[StrongerzZ]

I solved the same problem by refering to #24. You may have a try

It works, Thanks a lot!

I solved it by another way:
temp_suppress = overlap[box] > max_overlap
suppress = (temp_suppress | suppress.bool()).byte()

But there are new warnings in both ways:
UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead.

Can you help me solve it?
It appears very often when I run eval.py, and not convenient to see the progress bar (tqdm).