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Remove torch.autograd.Variable #205

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Remove torch.autograd.Variable #205

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9 changes: 4 additions & 5 deletions implementations/gan/gan.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,6 @@

from torch.utils.data import DataLoader
from torchvision import datasets
from torch.autograd import Variable

import torch.nn as nn
import torch.nn.functional as F
Expand Down Expand Up @@ -122,11 +121,11 @@ def forward(self, img):
for i, (imgs, _) in enumerate(dataloader):

# Adversarial ground truths
valid = Variable(Tensor(imgs.size(0), 1).fill_(1.0), requires_grad=False)
fake = Variable(Tensor(imgs.size(0), 1).fill_(0.0), requires_grad=False)
valid = torch.Tensor(imgs.size(0), 1).fill_(1.0)
fake = torch.Tensor(imgs.size(0), 1).fill_(0.0)

# Configure input
real_imgs = Variable(imgs.type(Tensor))
real_imgs = imgs.type(torch.Tensor)

# -----------------
# Train Generator
Expand All @@ -135,7 +134,7 @@ def forward(self, img):
optimizer_G.zero_grad()

# Sample noise as generator input
z = Variable(Tensor(np.random.normal(0, 1, (imgs.shape[0], opt.latent_dim))))
z = torch.Tensor(np.random.normal(0, 1, (imgs.shape[0], opt.latent_dim)))

# Generate a batch of images
gen_imgs = generator(z)
Expand Down