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hongzimao / pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)
http://web.mit.edu/pensieve/
MIT License
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Problems when reproducing pensieve with PyTorch #74

Open PkuDavidGuan opened 5 years ago

PkuDavidGuan commented 5 years ago

Dear Hongzi,

I am sorry to bother you, but I went through a few problems when reproducing Pensieve with PyTorch. I found the critic loss is very high (about 30), but the total QoE seems normal(about 40.) I wonder the range of the critic loss after Pensieve's convergence.

hongzimao commented 5 years ago

Very nice that you reproducing it in pytorch! I don't remember the range of the loss numbers on top of my head. Also, how do you compute the loss, did you sum it over a batch or you average it? I would recommend you run our code and compare the scale of those numbers.

qsibmini-khu commented 2 years ago

Dear Hongzi,

I am sorry to bother you, but I went through a few problems when reproducing Pensieve with PyTorch. I found the critic loss is very high (about 30), but the total QoE seems normal(about 40.) I wonder the range of the critic loss after Pensieve's convergence.

Hello, did you finish making the PyTorch version by chance? It would be a great help.

Thank you.