# Summary eps是"epsilon"的缩写，是一个数值稳定性参数，用于防止除零错误和提高数值计算的稳定性。 assignment1的nn.py eps: float = $1e-6$ # = $0.000001$ assignment1的model.py eps: float = $1e-5$ # = $0.00001$ assignment2的rmsnorm.py eps: float = $1e-5$ # = $0.00001$ # Cues # Notes