Updatation of Parameters without using optimizer.step()

reinforcement-learning
20 
for p in meta_i3d.parameters():
      new_val = p - 0.0001 * p.grad
      p.copy_(new_val)

I am doing this to update parameter values but getting an error i.e. “RuntimeError: a leaf Variable that requires grad is being used in an in-place operation.”

Is there any workaround for this? i am working on meta-learning and need to update the weights without calling optimizer.step()