Closed Creak77 closed 2 years ago
Hi, I think it is just a warning, the training is going. You may wait for a while and get results soon
Get Outlook for iOShttps://aka.ms/o0ukef
From: Creak77 @.> Sent: Monday, October 24, 2022 11:02:40 PM To: DongChen06/MARL_CAVs @.> Cc: Subscribed @.***> Subject: [DongChen06/MARL_CAVs] root:Can not find checkpoint for ./results/Oct_25_02_57_41/models/ (Issue #16)
ERROR:root:Can not find checkpoint for ./results/Oct_25_02_57_41/models/ /home/sdcnlab/Mingfeng/MARL/MARL_CAVs-main/MARL/single_agent/kfac.py:144: UserWarning: volatile was removed (Variable.volatile is always False) if input[0].volatile == False and self.steps % self.Ts == 0: /home/sdcnlab/anaconda3/envs/marl_cav/lib/python3.10/site-packages/torch/nn/modules/module.py:1053: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " /home/sdcnlab/Mingfeng/MARL/MARL_CAVs-main/MARL/single_agent/Model_common.py:62: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. act = self.actor_output_act(self.actor_linear(out)) /home/sdcnlab/Mingfeng/MARL/MARL_CAVs-main/MARL/single_agent/kfac.py:144: UserWarning: volatile was removed (Variable.volatile is always False)
I got this error after I install a old version of pandas, can I ask you how to solve this problem?
— Reply to this email directly, view it on GitHubhttps://github.com/DongChen06/MARL_CAVs/issues/16, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AGETZR3PSD6AWI4XRAIIRELWE5EVBANCNFSM6AAAAAARNRMOAI. You are receiving this because you are subscribed to this thread.Message ID: @.***>
oh thank you, both of them are only warning, I can just ignore it right?
Yes, the code will output results every 200 episodes, so you may get the results soon if you have a dedicated device
Get Outlook for iOShttps://aka.ms/o0ukef
From: Creak77 @.> Sent: Monday, October 24, 2022 11:49:19 PM To: DongChen06/MARL_CAVs @.> Cc: Dong Chen @.>; Comment @.> Subject: Re: [DongChen06/MARL_CAVs] root:Can not find checkpoint for ./results/Oct_25_02_57_41/models/ (Issue #16)
oh thank you, both of them are only warning, I can just ignore it right?
— Reply to this email directly, view it on GitHubhttps://github.com/DongChen06/MARL_CAVs/issues/16#issuecomment-1289938873, or unsubscribehttps://github.com/notifications/unsubscribe-auth/AGETZR5MBLFN2O5CIQO5SIDWE5KD7ANCNFSM6AAAAAARNRMOAI. You are receiving this because you commented.Message ID: @.***>
thanks!I will try it and if I have more questions I will ask you about that
Dong Chen @.***>于2022年10月24日 周一下午11:55写道:
Yes, the code will output results every 200 episodes, so you may get the results soon if you have a dedicated device
Get Outlook for iOShttps://aka.ms/o0ukef
From: Creak77 @.> Sent: Monday, October 24, 2022 11:49:19 PM To: DongChen06/MARL_CAVs @.> Cc: Dong Chen @.>; Comment @.> Subject: Re: [DongChen06/MARL_CAVs] root:Can not find checkpoint for ./results/Oct_25_02_57_41/models/ (Issue #16)
oh thank you, both of them are only warning, I can just ignore it right?
— Reply to this email directly, view it on GitHub< https://github.com/DongChen06/MARL_CAVs/issues/16#issuecomment-1289938873>, or unsubscribe< https://github.com/notifications/unsubscribe-auth/AGETZR5MBLFN2O5CIQO5SIDWE5KD7ANCNFSM6AAAAAARNRMOAI
. You are receiving this because you commented.Message ID: @.***>
— Reply to this email directly, view it on GitHub https://github.com/DongChen06/MARL_CAVs/issues/16#issuecomment-1289942431, or unsubscribe https://github.com/notifications/unsubscribe-auth/AXPNYEKCB3P4QOTINJPPLSDWE5K3ZANCNFSM6AAAAAARNRMOAI . You are receiving this because you authored the thread.Message ID: @.***>
FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. df = df.append(pd.DataFrame.from_records(
I got a future warning about the pandas, can I ask you how to solve this question?
UserWarning: volatile was removed (Variable.volatile is always False) if input[0].volatile == False and self.steps % self.Ts == 0:
Also I got this userwarning, how to solve with that?