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Questions - dcgan

How to load GAN checkpoint properly in PyTorch?

I trained a GAN on 256x256 images, basically extending the code in PyTorch' own DCGAN tutorial to accommodate larger resolution images. The model and optimizer initialization look like this: device = ...
test-img

Saucy Goat

python-3.x

image

pytorch

generative-adversarial-network

dcgan

Votes: 0

Answers: 0

How to solve this : Calculated padded input size per channel: (3 x 3). Kernel size: (4 x 4). Kernel size can't be greater than actual input size

I have problem : Calculated padded input size per channel: (3 x 3). Kernel size: (4 x 4). Kernel size can't be greater than actual input size def conv(c_in, c_out, batch_norm=True, activation="lr...
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Almuzhidul Mujhid

dcgan

Votes: 0

Answers: 1

Latest Answer

z = torch.randn((n, self.z_dim, 1, 1), device=device) The code above generates input noise tensor with (1,1) size, which is too small for the model. z = torch.randn((n, self.z_dim, 10, 10), device=de...
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Özgür Boran Ak

Python - Show one image from an image array

I'm going through this tutorial on pytorch. https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html And I've been able to show real images next to the fake ones that I have generated. # Grab ...
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timtti

python-3.x

matplotlib

pytorch

dcgan

Votes: 0

Answers: 1

Latest Answer

Here is what I wanted: noise = torch.randn(1, nz, 1, 1, device=device) with torch.no_grad(): newfake = netG(noise).detach().cpu() plt.axis("off") plt.imshow(np.transpose(newfake[0],(1,2...
test-img

timtti

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