def test_fsim_loss_computes_grad(x, y, device: str) -> None:
x.requires_grad_()
loss_value = FSIMLoss()(x.to(device), y.to(device))
loss_value.backward()
assert x.grad is not None, 'Expected non None gradient of leaf variable'
def test_fsim_loss_computes_grad(prediction: torch.Tensor,
target: torch.Tensor, device: str) -> None:
prediction.requires_grad_()
loss_value = FSIMLoss()(prediction, target)
loss_value.backward()
assert prediction.grad is not None, 'Expected non None gradient of leaf variable'