Comments (2)
zhanghang1989
commented on May 20, 2024
Sorry that I am not actively maintaining this repo now.
I actually tried the code recently. The MSG-Net is still working with PyTorch 1.4.0.
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fuddyduddy
commented on May 20, 2024
Alright, thanks. I will close this issue now.
BTW, just tried downgrade to PyTorch 1.4.0. However, the following error comes up:
Traceback (most recent call last):
File "main.py", line 295, in <module>
main()
File "main.py", line 36, in main
raise ValueError("ERROR: cuda is not available, try running on CPU")
ValueError: ERROR: cuda is not available, try running on CPU
It looks like need to downgrade CUDA as well. But i am not gonna try it further due to time constraints.
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Related Issues (20)
- cuda runtime error (2) : out of memory - but memory doesn't run out
- Running main.py eval error HOT 2
- can not find the code for siamese training HOT 1
- WHY ARE YOU USING TAB AND SPACE AT SAM TIME???????? HOT 2
- VGG network output
- Strange result
- No way to read and convert to vgg16.weight HOT 2
- Error when running style_model.load_state_dict(torch.load('21styles.model'), False) HOT 5
- TypeError: 'NoneType' object is not callable HOT 2
- RuntimeError: [enforce fail at CPUAllocator.cpp:64] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 34080768 bytes. Error code 12 (Cannot allocate memory) HOT 3
- Different brush stroke size
- vgg16.t7 unhashable type: 'numpy.ndarray HOT 13
- Loaded samples aren't normalized and calculated loss is very large? HOT 1
- Could MSG-Net be used for image enhancement? HOT 1
- struct.error: unpack requires a buffer of 4 bytes HOT 1
- Color produced by eval doesn't match demo HOT 1
- Error Training TypeError: 'NoneType' object is not callable HOT 4
- Link of dataset is broken.
- doesn't work anymore
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