PyTorch - Neural Network - Output single scalar value

Question

Let's say we have the following neural network in PyTorch

seq_model = nn.Sequential(
nn.Linear(1, 13),
nn.Tanh(),
nn.Linear(13, 1))

With the following input tensor

input = torch.tensor([1.0, 1.0, 5.0], dtype=torch.float32).unsqueeze(1)

I can run forward through the net and get

seq_model(input)

tensor([[-0.0165],
        [-0.0165],
        [-0.2289]], grad_fn=<TanhBackward0>)

Probably I also can get a single scalar value as an output, but I'm not sure how. Thank you. I'm trying to use such an network for reinforcment learning, and use it as an value function approximator for game board state evaluation.