Size issue from running custom dataset

[evdelph]

Hello,
I followed the instructions for uploading a custom dataset. However, I get this error:

$ python main.py --dataset ships --gan_type GAN --epoch 50 --batch_size 64
---------- Networks architecture -------------
generator(
(fc): Sequential(
(0): Linear(in_features=62, out_features=1024, bias=True)
(1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=1024, out_features=6272, bias=True)
(4): BatchNorm1d(6272, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(5): ReLU()
)
(deconv): Sequential(
(0): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): ConvTranspose2d(64, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(4): Tanh()
)
)
Total number of parameters: 6642243
discriminator(
(conv): Sequential(
(0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(1): LeakyReLU(negative_slope=0.2)
(2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(3): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(4): LeakyReLU(negative_slope=0.2)
)
(fc): Sequential(
(0): Linear(in_features=6272, out_features=1024, bias=True)
(1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): LeakyReLU(negative_slope=0.2)
(3): Linear(in_features=1024, out_features=1, bias=True)
(4): Sigmoid()
)
)
Total number of parameters: 6561217

training start!!
Traceback (most recent call last):
File "main.py", line 111, in
main()
File "main.py", line 103, in main
gan.train()
File "C:\Users\evdelph\Desktop\NEEC\test\pytorch-generative-model-collections\GAN.py", line 144, in train
D_real = self.D(x_)
File "C:\Users\evdelph\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\nn\modules\module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "C:\Users\evdelph\Desktop\NEEC\test\pytorch-generative-model-collections\GAN.py", line 67, in forward
x = x.view(-1, 128 * (self.input_size // 4) * (self.input_size // 4))
RuntimeError: shape '[-1, 6272]' is invalid for input of size 3276800

I am not sure how to fix this error. I am trying to generate images of ships for a school project.

Any insight would be great. Thanks!

[abujbr]

Hello, I followed the instructions for uploading a custom dataset. However, I get this error:

$ python main.py --dataset ships --gan_type GAN --epoch 50 --batch_size 64

---------- Networks architecture -------------
generator(
(fc): Sequential(
(0): Linear(in_features=62, out_features=1024, bias=True)
(1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): Linear(in_features=1024, out_features=6272, bias=True)
(4): BatchNorm1d(6272, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(5): ReLU()
)
(deconv): Sequential(
(0): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): ReLU()
(3): ConvTranspose2d(64, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(4): Tanh()
)
)
Total number of parameters: 6642243
discriminator(
(conv): Sequential(
(0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(1): LeakyReLU(negative_slope=0.2)
(2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1))
(3): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(4): LeakyReLU(negative_slope=0.2)
)
(fc): Sequential(
(0): Linear(in_features=6272, out_features=1024, bias=True)
(1): BatchNorm1d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): LeakyReLU(negative_slope=0.2)
(3): Linear(in_features=1024, out_features=1, bias=True)
(4): Sigmoid()
)
)
Total number of parameters: 6561217
training start!! Traceback (most recent call last): File "main.py", line 111, in main() File "main.py", line 103, in main gan.train() File "C:\Users\evdelph\Desktop\NEEC\test\pytorch-generative-model-collections\GAN.py", line 144, in train D_real = self.D(x_) File "C:\Users\evdelph\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\nn\modules\module.py", line 532, in call result = self.forward(*input, **kwargs) File "C:\Users\evdelph\Desktop\NEEC\test\pytorch-generative-model-collections\GAN.py", line 67, in forward x = x.view(-1, 128 * (self.input_size // 4) * (self.input_size // 4)) RuntimeError: shape '[-1, 6272]' is invalid for input of size 3276800

I am not sure how to fix this error. I am trying to generate images of ships for a school project.

Any insight would be great. Thanks!

I got exactly the same error message!

did you managed to solve it ?