jdc4429
commented
1 year ago Some more information..
(base) jeff@jeff-desktop:~/SinGAN$ ./train cows.png
Random Seed: 384
GeneratorConcatSkip2CleanAdd(
(head): ConvBlock(
(conv): Conv2d(3, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(body): Sequential(
(block1): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block2): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block3): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
)
(tail): Sequential(
(0): Conv2d(32, 3, kernel_size=(3, 3), stride=(1, 1))
(1): Tanh()
)
)
WDiscriminator(
(head): ConvBlock(
(conv): Conv2d(3, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(body): Sequential(
(block1): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block2): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
(block3): ConvBlock(
(conv): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1))
(norm): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(LeakyRelu): LeakyReLU(negative_slope=0.2, inplace=True)
)
)
(tail): Conv2d(32, 1, kernel_size=(3, 3), stride=(1, 1))
)
/home/jeff/anaconda3/lib/python3.10/site-packages/torch/autograd/init.py:173: UserWarning: Error detected in ConvolutionBackward0. Traceback of forward call that caused the error:
File "/home/jeff/SinGAN/main_train.py", line 29, in
I am having an issue trying to run any of the models. I get the error:
FileNotFoundError: [Errno 2] No such file or directory: 'TrainedModels/balloons/scale_factor=0.793701,alpha=100/Gs.pth'
Where do I get the pth (Gs.pth) files from as they are not there...
I can find no information in your documentation regarding how to get the Gs.pth files that are required if you could please explain if I need to run one of the programs in the Downloads folder or something else.
Regards,
Jeff