Pytorch: Error when doing CUDA Conv2d with 1x1 kernel.

Conv2d with 1x1 kernel is not working on GPU, although it works fine on CPU:

net = nn.Conv2d(1, 6, kernel_size=(1,1))
net.cuda()
x = Variable(torch.randn(1, 1, 100, 100))
x.cuda()
net(x)

Error message:

TypeError: FloatSpatialConvolutionMM_updateOutput received an invalid combination of arguments - got (int, torch.FloatTensor, torch.FloatTensor, torch.cuda.FloatTensor, torch.cuda.FloatTensor, torch.FloatTensor, torch.FloatTensor, int, int, int, int, int, int), but expected (int state, torch.FloatTensor input, torch.FloatTensor output, torch.FloatTensor weight, [torch.FloatTensor bias or None], torch.FloatTensor finput, torch.FloatTensor fgradInput, int kW, int kH, int dW, int dH, int padW, int padH)

I tried disabling cudnn with torch.backends.cudnn.enabled = False but still got the same error message.

I use Ubuntu 14.04, Cuda 7.5, Cudnn 5.1.5, Python 3.5.2, and Pytorch is installed from binaries.