The deep learning training process takes longer and longer

My own situation is that there are too many pictures displayed in the code, which leads to longer and longer training time for each iteration/epoch. or something like that.

Solution:

close plt.close()the picture in time

fig = plt.figure(0)  # 新图0
plt.savefig( )  # 保存
plt.close(0)  # 关闭图0

plt.close('all')  #关闭所有图

Time-consuming screenshot of the training process:

 

After using  plt.close('all')