catgan
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smayru
chainer catgan
load MNIST dataset epoch 1 Traceback (most recent call last): File "catgan_train.py", line 164, in fake_x=gen(z) File "catgan_train.py", line 73, in __call__ h1=F.leaky_relu(self.bn0(self.l0(z),test),slope=0.1) TypeError: __call__() takes 2 positional arguments but...
Line 164
Hello, I keep getting this error when I try to compile your code: GPU: -1 # Minibatch-size: 100 # epoch: 200 load MNIST dataset Downloading train-images-idx3-ubyte.gz... Done Downloading train-labels-idx1-ubyte.gz... Done...
I use the Chainer v1.9.0, but got an AssertionError when i run the catgan_test.py. I guess that the version of Chainer we have used are different. $ python catgan_test.py Traceback...
I am a little confused about the loss function of generator. I think it should be L_gen=-d_entropy1(fake_y)+d_entropy2(fake_y)
Sorry!! Got an ImportError: No module named net?? And how to train with my own dataset? Thanks for the help
