ACGAN-PyTorch
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should read `# Transposed Convolution 6` not `# Transposed Convolution 5`
Can you please provide guidance on how to train this model with a different data set that is not in the format of cifar or mnist? Thank you,
Hi Thanks for publishing the code in Pytorch ! I have a few questions however. [1] for the loss associated with the auxilliary classifier fc you are using `NLL Loss`...
First of all, I would like to thank you for sharing your implementation on github. After running my experiment on cifar-10 and computing the inception score, I discovered that the...
From the following line: ```py aux_label.data.resize_(batch_size).copy_(label) ``` I am getting the following error: > RuntimeError: expand(torch.FloatTensor{[1, 1]}, size=[1]): the number of sizes provided (1) must be greater or equal to...
UserWarning: Using a target size (torch.Size([1])) that is different to the input size (torch.Size([16])) is deprecated. Please ensure they have the same size. "Please ensure they have the same size.".format(target.size(),...
Fix #3. From [here](http://pytorch.org/docs/master/nn.html#torch.nn.Softmax), it is `LogSoftmax` should be used for `NLLLoss`, instead of `Softmax`. > This module doesn’t work directly with NLLLoss, which expects the Log to be computed...
excuse me, I don't see input labels in the generator? Did anyone notice that?
This setup does not work when `nz != 110`, this is a proposed solution.