I have a DELL XPS with an nVidia 1080 w 8GB. My hope was to run StyleGAN on this rather than needing to jump to the cloud. Possible?
I disable blur2d by commenting out the lines including it
Getting this error:
:\Users\Powerpop\Anaconda3\lib\site-packages\skimage\transform\_warps.py:110: UserWarning: Anti-aliasing will be enabled by default in skimage 0.15 to avoid aliasing artifacts when down-sampling images.
warn("Anti-aliasing will be enabled by default in skimage 0.15 to "
Traceback (most recent call last):
File "train_stylegan.py", line 164, in <module>
main(opts)
File "train_stylegan.py", line 98, in main
real_logit = D(real_img)
File "C:\Users\Powerpop\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "C:\Users\Powerpop\Desktop\StyleGAN\networks_stylegan.py", line 651, in forward
x = F.leaky_relu(self.conv6(x), 0.2, inplace=True)
File "C:\Users\Powerpop\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "C:\Users\Powerpop\Anaconda3\lib\site-packages\torch\nn\modules\conv.py", line 338, in forward
self.padding, self.dilation, self.groups)
RuntimeError: CUDA out of memory. Tried to allocate 4.00 GiB (GPU 0; 8.00 GiB total capacity; 4.19 GiB already allocated; 2.06 GiB free; 8.04 MiB cached)
I have a DELL XPS with an nVidia 1080 w 8GB. My hope was to run StyleGAN on this rather than needing to jump to the cloud. Possible?
I disable blur2d by commenting out the lines including it
Getting this error: