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                                            Tianlin Liu

fourier_3d.py got 100+s per epoch performance on V100 16GB

> Tesla V100S-PCIE-32GB pytorch 1.8 ns equations(v=1e-3 T=50 N=1000) > > 500 0.001 100 0.5 torch.Size([1000, 64, 64, 40]) torch.Size([200, 64, 64, 40]) preprocessing finished, time used: 188.54924726858735 6558537 0...

Unable to access book and cnndm datasets

@vwxyzjn Hi Costa, thanks for sharing the awesome reproduction result! I am trying to reproduce the OAI's result myself, and your re-implementation in PyTorch is a lifesaver. > On its...

Why evaluate_from_model run so slow on my side

Hi! @rtaori @YannDubs I am wondering if it is parallellize data when using `evaluate_from_model`. That is, with 8 GPUs, I want to generate 8 responses at the same time, each...