--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-102-26d05ea2d790> in <cell line: 3>() 1 # project states onto the main directions of the gradient updates using n samples over all steps starting from sample x 2 # the directions are calculated using the last sample as a reference ----> 3 directions, state_ids, loss_coordinates = get_state_directions(states, n_states=10, start_from=0, reference_id=-1) 4 5 # compute the losses over the main directions of the gradient updates <ipython-input-82-76fdd1c91522> in get_state_directions(states, n_states, start_from, reference_id) 3 def get_state_directions(states, n_states, start_from, reference_id): 4 if len(states) < n_states + start_from: ----> 5 raise ValueError("Insufficient states in the 'states' list.") 6 7 param_shapes = [] ValueError: Insufficient states in the 'states' list.这段错误怎么改
时间: 2023-08-25 10:38:40 浏览: 39
这个错误提示表明在调用 `get_state_directions` 函数时,提供的状态列表 `states` 不足以进行计算,因为需要至少 `n_states + start_from` 个状态才能进行采样并计算梯度更新方向。
为了解决这个问题,你需要检查一下调用 `get_state_directions` 函数时提供的输入参数 `states`,确保其至少包含 `n_states + start_from` 个状态。你可以尝试增加 `states` 的长度,或者调整 `n_states` 和 `start_from` 参数来适应当前的 `states` 长度。