Is torch.autograd taking a back seat?

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I think one can build a graph without importing any class from torch.autograd.

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I think the main point was that the use of Variable was quite confusing for new users. Having everything as a Tensor and simple context manager like torch.no_grad() is actually enough to perform all operations.
So torch.autograd is still used the same way as before, but explicit use of it has been reduce to simplify API and user code.

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