请问大家用visualdl可视化训练过程的数据时，怎么把loss函数的横坐标改为epoch呢？只能自己画吗？
# 从 visualdl 库中引入 LogWriter 类from visualdl import LogWriter# 创建 LogWriter 对象，指定 logdir 参数，如果指定路径不存在将会创建一个文件夹logwriter = LogWriter(logdir='./runs/mnist_experiment')
#记录当前训练 Loss 到 VisualDLlogwriter.add_scalar("train_avg_loss", value=avg_loss.numpy(), step=batch_id+epoch_id*(train_batchs_per_epoch))
在每个epoch后调用即可
# 从 visualdl 库中引入 LogWriter 类
from visualdl import LogWriter
# 创建 LogWriter 对象，指定 logdir 参数，如果指定路径不存在将会创建一个文件夹
logwriter = LogWriter(logdir='./runs/mnist_experiment')
#记录当前训练 Loss 到 VisualDL
logwriter.add_scalar("train_avg_loss", value=avg_loss.numpy(), step=batch_id+epoch_id*(train_batchs_per_epoch))
在每个epoch后调用即可