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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/06/06 22:46:01 UTC

[GitHub] [incubator-mxnet] apeforest commented on issue #14613: [MXNET-978] Second order gradient support for some unary operators

apeforest commented on issue #14613: [MXNET-978] Second order gradient support for some unary operators
URL: https://github.com/apache/incubator-mxnet/pull/14613#issuecomment-499695476
 
 
   To summarize from discussion in https://github.com/apache/incubator-mxnet/pull/15120, I think in MXNet we calculate input gradients based on the variables specified in the autograd.grad() API. In this case y_grad, even if someone manually attach a grad attribute to it will not be assigned gradient values during the second pass of `backward()`. Only the second order gradient x.grad is preserved. This behavior is different from PyTorch, but I think it is not a bug of MXNet.  

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