Comments (2)
The code should be able to compute the inception moments automatically, see these lines
from data-efficient-gans.
Thank you.
from data-efficient-gans.
Related Issues (20)
- generate_gif.py error:Cannot handle this data type:(1,1,64),|u1
- Why isn't DiffAugment used as a layer in the discriminator?
- Unavailable weights for pre-trained models
- How can we train diffaugment-styleGAN2 on our own dataset
- DiffAug seems to be leaked HOT 3
- Training set image resolution HOT 4
- Cannot download checkpoints HOT 2
- Would you please advice on how to use your code?
- requirements HOT 1
- Generate images from a grayscale trained pkl file HOT 2
- How to train DiffAugment-biggan with the self-made dataset? HOT 3
- Network pickle not saving!
- the D and G values for updating HOT 9
- How to use DiffAugment in Image to Image Translation? HOT 2
- NotImplementedError: Cannot convert a symbolic Tensor (Inputs/minibatch_gpu_in:0) to a numpy array. HOT 3
- How do you calculate accuracy in paper? HOT 1
- How can we use generate.py file to load our own trained models? HOT 1
- RuntimeError: No such operator aten::cudnn_convolution_backward_weight HOT 1
- how to deal with 'check_hostname requires server_hostname'
- The difference between the generated image and the training image is too large
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