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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/06/19 06:18:43 UTC
[GitHub] [incubator-mxnet] eric-haibin-lin commented on issue #15215: MXNet
Row Sparse SGD Update fails when Row Sparse weights are sparsely populated
eric-haibin-lin commented on issue #15215: MXNet Row Sparse SGD Update fails when Row Sparse weights are sparsely populated
URL: https://github.com/apache/incubator-mxnet/issues/15215#issuecomment-503422954
For this particular operator, I think it's possible just to enhance the operator with a kernel that handles true sparse weight and sparse gradient.
Can we assume the non-zero indices appeared in the grad can always be found in the indices of the weight? If so that makes it easier to implement. There's a guide for data structure related to sparse ndarray in https://cwiki.apache.org/confluence/display/MXNET/A+Guide+to+Implementing+Sparse+Operators+in+MXNet+Backend and I'm happy to give more pointers if needed.
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