Comments (7)
backnotprop
commented on May 30, 2024
I've reverted to Cuda 8 and I get the same issue
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zhanghang1989
commented on May 30, 2024
This looks like a bug with PyTorch. I will convert the vgg weights later to avoid this issue.
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backnotprop
commented on May 30, 2024
@zhanghang1989 yea I figured, I submitted an issue to PyTorch as well.
Is there an alternative I can use for now?
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backnotprop
commented on May 30, 2024
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backnotprop
commented on May 30, 2024
I believe my download must've been corrupted ... Ive downloaded a separate vgg file and it seems to be working now... waiting to see how training goes
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zhanghang1989
commented on May 30, 2024
Great. please keep me posted.
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ss32
commented on May 30, 2024
@backnotprop what directory structure does the training expect? And are labels generated from the directory names or individual images?
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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 2
- 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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