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vae: Fix UserWarning #220

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merged 3 commits into from
Sep 22, 2017
Merged

vae: Fix UserWarning #220

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e50a854
vae: Fix UserWarning
r9y9 Sep 22, 2017
8179110
vae: Remove unnecessary branch
r9y9 Sep 22, 2017
dc6e8cc
Fix wrong help messages
r9y9 Sep 22, 2017
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12 changes: 4 additions & 8 deletions vae/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,9 +9,9 @@

parser = argparse.ArgumentParser(description='PyTorch MNIST Example')
parser.add_argument('--batch-size', type=int, default=128, metavar='N',
help='input batch size for training (default: 64)')
help='input batch size for training (default: 128)')
parser.add_argument('--epochs', type=int, default=10, metavar='N',
help='number of epochs to train (default: 2)')
help='number of epochs to train (default: 10)')
parser.add_argument('--no-cuda', action='store_true', default=False,
help='enables CUDA training')
parser.add_argument('--seed', type=int, default=1, metavar='S',
Expand Down Expand Up @@ -56,11 +56,7 @@ def encode(self, x):

def reparametrize(self, mu, logvar):
std = logvar.mul(0.5).exp_()
if args.cuda:
eps = torch.cuda.FloatTensor(std.size()).normal_()
else:
eps = torch.FloatTensor(std.size()).normal_()
eps = Variable(eps)
eps = Variable(std.data.new(std.size()).normal_())
return eps.mul(std).add_(mu)

def decode(self, z):
Expand All @@ -82,7 +78,7 @@ def forward(self, x):


def loss_function(recon_x, x, mu, logvar):
BCE = reconstruction_function(recon_x, x)
BCE = reconstruction_function(recon_x, x.view(-1, 784))

# see Appendix B from VAE paper:
# Kingma and Welling. Auto-Encoding Variational Bayes. ICLR, 2014
Expand Down