Comments (4)
anishpdoshi
commented on July 20, 2024
Do you still get errors when running with python2?
Also as a previous issue mentioned - You'll get some data errors when running on a CPU instead of a GPU. I think you can get around this by changing some of the data formats. See #11 if it applies.
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magnificGH
commented on July 20, 2024
@Britjeans Hi,I have the same problem：TypeError: unsupported operand type(s) for /: 'dict_values' and 'int'，Did you solve this problem?
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wanyding
commented on July 20, 2024
@magnificGH Sorry, I didn't...
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magnificGH
commented on July 20, 2024
@Britjeans Hi,I have solved this problem by modified the plot.py code:
prints.append("{}\t{}".format(name, np.mean(list(vals.values())))) and some other code in save_images.py. These errors are due to the differences between python2 and python3. Now, I can normally run gan_mnist,py in python3
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Related Issues (20)
- o._shape = TensorShape(new_shape) caused error in inception_score.py HOT 1
- Why the gradient penalty item decreases to zero and then grows to infinity ?
- This code is outdated seriously HOT 3
- inception_score.py: fixed the issue of ValueError "Cannot iterate over a shape with unknown rank"
- inception_score.py: ValueError in the method _init_inception() HOT 1
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- Mismatch between code and paper in the gradient penalty algorithm HOT 1
- Questions about the loss
- AttributeError: module '_pickle' has no attribute 'HIGHEST_PROTOCOL' HOT 1
- Error Conv2DCustomBackpropFilterOp only supports NHWC HOT 2
- Question of DEVICE in the gan_cifar10_resnet.py
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- reproducing inception score on gan_cifar.py HOT 2
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- gan_mnist.py's ERROR HOT 1
- Query: WGAN-GP FID SCORE (PyTorch)
- Wire gide
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