Question about training and testing

Hi Zimao, I am learning about your work. When I run python multi_agent.py, the program is going to add the epochs very quickly and keep printing “Testing model restored.” instead of entering the training stage and exploiting the GPU. It seems that the overloaded tf.train is not used. Should I change the code of compute_gradients in a3c.py? I am a bit confused now. Is there something wrong with my understanding of your code?

[InanisV]

Sorry, It’s my mistake. The log file generated by bb.py and dp.py is different. I misunderstood the meaning of the variable SIM_DP and changed it into sim_bb. When I checked the code in plot_results.py, I found there is a separate branch that is used to dealing with log files made by dp.py, where bit_rate.append(VIDEO_BIT_RATE[int(parse[6])]) appends the bitrate correctly. Finally, I successfully plotting the result. Thank you very much! I am appreciated for your reply.

[hongzimao]

The code periodically tests the current model with a hold-up testing dataset. https://github.com/hongzimao/pensieve/blob/master/sim/multi_agent.py#L192 the first epoch also enters the testing loop. You can comment this out if you are eager to go in the training loop. GPU is not really required for this code I think.