roggiezhang-nv commented on issue #8494: Autograd bug in mxnet-cu80: 0.12 URL: https://github.com/apache/incubator-mxnet/issues/8494#issuecomment-340989454 OK. Does that more make sense if it returns with all ones from a user point. By the way, this is not the true problem I want to emphasize. I just found 0.12 behaves a lot differently in autograd as 0.11. I have a piece of code that has been broken in 0.12 while it's working in 0.11, here is the snippet of what it's doing: ``` a is a mx.nd.array a.attach_grad() loss = 0 with autograd.record(): for each target: loss = loss + LOSS_FUNCTION(a, target) loss.backward() Update gradient with a.grad ``` In 0.11, this works without any issues. But after switching to 0.12, this is broken with a.grad equals to zero. So I just want to understand any important changes in 0.12 about autograd.
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