I'm inspecting my model in the tensorboardX. I'm using PyTorch. Following is the forward method:
def forward(self, x):
x = self.net(x)
x = x.view(x.shape[0], -1) # flat
x = self.ext_net(x)
x = F.log_softmax(x, dim=1)
return x
In the graph, I don't understand what these values and nodes in blue and green boxes represent. Why is there a separate dataflow from input to ext_net (FCNCustom)? Shouldn't there be only one coming through net?
