Hello,

l have a network composed of 2 convolutional layers and two fully connected layers.

l would like to add a fully convolutional layer before the first fully connected layer.

Here is my code :

```
def forward(self, x, d, L, lmax):
# conv layer 1
x = x.unsqueeze(2) # B x V x Fin=1
x = self.conv_cheby(x, self.cl1, L[0], lmax[0], self.CL1_F, self.CL1_K)
x = F.relu(x)
x = self.graph_max_pool(x, 4)
# graph CL2
x = self.graph_conv_cheby(x, self.cl2, L[2], lmax[2], self.CL2_F, self.CL2_K)
x = F.relu(x)
x = self.graph_max_pool(x, 4)
# I would like to add here a fully covolutional layer
# FC1
x = x.view(-1, self.FC1Fin)
x = self.fc1(x)
x = F.relu(x)
x = nn.Dropout(d)(x)
# FC2
x = self.fc2(x)
```