About train() and no_grad()

[SUN-zx]

I have observed that in the code, the model's scene.gaussians.train() and gaussians.optimizer.step() are both performed under the state of with torch.no_grad():. Will this not prevent the parameters from being updated? Can parameters be updated solely relying on loss.backward()?