Hi, I believe it is a very odd question to ask here, but I am still wondering if anyone could explain the flow difference between pytorch and tensorflow. There was never concern about detach method in tensorflow but in pytorch I have used many times. How is the auto-differentiation unique for pytorch compared to tensorflow, because in tensorflow session gradients are computed automatically?
Thank you,
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