def updates(self, params, grads, learning_rate):
        updates = []
        for n, (param, grad) in enumerate(zip(params, grads)):
            updates.append((param, learning_rate * grad - param))
        return updates
dataset/ETHPy150Open kastnerkyle/SciPy2015/graphics_code/cvae/kdl_template.py/sgd.updates/swapped operands of `-`