checked GAN code

This commit is contained in:
Aladdin Persson
2022-12-21 14:03:08 +01:00
parent b6985eccc9
commit c646ef65e2
14 changed files with 225 additions and 270 deletions

View File

@@ -1,3 +1,12 @@
"""
Simple GAN using fully connected layers
Programmed by Aladdin Persson <aladdin.persson at hotmail dot com>
* 2020-11-01: Initial coding
* 2022-12-20: Small revision of code, checked that it works with latest PyTorch version
"""
import torch
import torch.nn as nn
import torch.optim as optim
@@ -48,7 +57,10 @@ disc = Discriminator(image_dim).to(device)
gen = Generator(z_dim, image_dim).to(device)
fixed_noise = torch.randn((batch_size, z_dim)).to(device)
transforms = transforms.Compose(
[transforms.ToTensor(), transforms.Normalize((0.5,), (0.5,)),]
[
transforms.ToTensor(),
transforms.Normalize((0.5,), (0.5,)),
]
)
dataset = datasets.MNIST(root="dataset/", transform=transforms, download=True)
@@ -104,4 +116,4 @@ for epoch in range(num_epochs):
writer_real.add_image(
"Mnist Real Images", img_grid_real, global_step=step
)
step += 1
step += 1