PyTorch Tutorial for Deep Learning Researchers

The design was initially seeded from three libraries: torch-autograd, Chainer, LuaTorch-nn.
Then we iterated over it for over a month between Sam Gross, Adam Paszke, me, Adam Lerer, Zeming Lin with occasional input from pretty much everyone. We initially didn’t have a functional interface at all (F.relu() for example), and Sergey Zagoruyko had pestered us to death until we saw value in it, and hurriedly wrote it / committed it in the last minute.

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