I assume no gradients will be calculated at all.
You could run a quick test using a constant tensor, perform an update step, and compare the new output using the same input tensor. Both outputs should be equal, if the model was not updated.
The simple workaround for the nn.Sequential container would be to set the requires_grad attribute of the input to True, as the dummy input approach would be a bit more complicated.