Line 164

[mmosquera10]

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
Downloading t10k-images-idx3-ubyte.gz...
Done
Downloading t10k-labels-idx1-ubyte.gz...
Done
Converting training data...
Done
Converting test data...
Done
Save output...
Done
Convert completed
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 exactly 2 arguments (3 given)

Could you please help? Thank you.

[mohebbihr]

Hi, I am facing the same problem. Please tell me how did you solve this issue. Thanks

[LIEWyiyi]

change
h1=F.leaky_relu(self.bn0(self.l0(z),test),slope=0.1)
to
h1=F.leaky_relu(self.bn0(self.l0(z)),slope=0.1)
will work in chainer 3.2.0
@mohebbihr @mmosquera10

[SHANKARMB]

Even I have the same error..
Even after making above changes, I get this error..
load MNIST dataset epoch 1 Traceback (most recent call last): File "catgan_train.py", line 164, in <module> fake_x=gen(z) File "catgan_train.py", line 74, in __call__ h2=F.leaky_relu(self.bn1(self.l1(h1),test),slope=0.1) TypeError: __call__() takes 2 positional arguments but 3 were given

I removed test from all these 3 line..


h1=F.leaky_relu(self.bn0(self.l0(z)),slope=0.1)
h2=F.leaky_relu(self.bn1(self.l1(h1)),slope=0.1)
h3=F.leaky_relu(self.bn2(self.l2(h2)))
h4=F.sigmoid(self.l3(h3))
It still gives me this error..


load MNIST dataset
epoch 1
Traceback (most recent call last):
File "catgan_train.py", line 165, in
fake_y=dis(fake_x)
File "catgan_train.py", line 117, in call
h1=F.leaky_relu(self.bn0(self.l0(x)+F.gaussian(mu_array2,log_std_array2),test),slope=0.1)
TypeError: call() takes 2 positional arguments but 3 were given

So I removed test in other calls too... like this..

h1=F.leaky_relu(self.bn0(self.l0(x)+F.gaussian(mu_array2,log_std_array2)),slope=0.1)
h2=F.leaky_relu(self.bn1(self.l1(h1)+F.gaussian(mu_array3,log_std_array3)),slope=0.1)
h3=F.leaky_relu(self.bn2(self.l2(h2)+F.gaussian(mu_array4,log_std_array4)),slope=0.1)
h4=F.leaky_relu(self.bn3(self.l3(h3)+F.gaussian(mu_array5,log_std_array5)),slope=0.1)
h5=F.leaky_relu(self.bn4(self.l4(h4)+F.gaussian(mu_array6,log_std_array6)),slope=0.1)
h6=F.softmax(self.l5(h5))

It gives me this error..

load MNIST dataset
epoch 1
Traceback (most recent call last):
File "catgan_train.py", line 170, in
o_dis.zero_grads()
AttributeError: 'Adam' object has no attribute 'zero_grads'