[Solved] 'y = x' or 'y = x.detach()' in inference mode?

[ptrblck]

I think @richard provided a nice explanationhere:

Clone and detach in v0.4.0

We’ll provide a migration guide when 0.4.0 is officially released. Here are the answers to your questions: tensor.detach() creates a tensor that shares storage with tensor that does not require grad. tensor.clone()creates a copy of tensor that imitates the original tensor's requires_grad field. You should use detach() when attempting to remove a tensor from a computation graph, and clone as a way to copy the tensor while still keeping the copy as a part of the computation graph it came from. …

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