Hi!

So I have no idea what’s going on.

Here is my code.

PS.

The output is def a function of the input (model is a pretty good[93%] gender classifier).

```
def compute_saliency_maps(X, y, model):
# Make sure the model is in "test" mode
model.eval()
# Wrap the input tensors in Variables
X_var = Variable(X, requires_grad=True).cuda()
y_var = Variable(y).cuda()
scores = model(X_var)
# Get the correct class computed scores.
scores = scores.gather(1, y_var.view(-1, 1)).squeeze()
# Backward pass, need to supply initial gradients of same tensor shape as scores.
scores.backward(torch.FloatTensor([1.0,1.0,1.0,1.0]).cuda())
# Get gradient for image.
saliency = X_var.grad.data #Here X_var.grad is still None! What the hell?!
```