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View Code? Open in Web Editor NEWReinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
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Using tensorboard to show graph of DQN
在莫烦的网课里使用了 tensorboard来展示网络结构，想请教一下pytorch如何使用tensorboard来展示网络结构（看过很多教程，都是在add_graph方法中传入module，但DQN类并不是一个module，而是由两个module组成的，所以想请教一下有无解决方案）
RuntimeError about AC_CartPole.py
I didn't change anything about 8_Actor_Critic_Advantage/AC_CartPole.py. I just ran it, but I got this
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [20, 1]], which is o
utput 0 of TBackward, is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gr
adient, with torch.autograd.set_detect_anomaly(True).
So, I add torch.autograd.set_detect_anomaly(True) to code, but I got this
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [20, 1]], which is o
utput 0 of TBackward, is at version 2; expected version 1 instead. Hint: the backtrace further above shows the operation that failed to compute its g
radient. The variable in question was changed in there or anywhere later. Good luck!
my pytorch version is 1.7.0.
my numpy version is 1.18.5
5_Deep_Q_Network中RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead.
RuntimeError: Can't call numpy() on Tensor that requires grad. Use tensor.detach().numpy() instead.增加了detach()也一样报错，输出loss图异常
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