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Summary: This PR implements softmax support for sparse tensors. The sparse softmax is related to dense softmax when the values of unspecified sparse tensor entries are taken to be `-inf` that will have the effect of "zero entries ignored". This relation is used for testing the correctness of results here. Resolves https://github.com/pytorch/pytorch/issues/23651 for CPU. - [x] sparse softmax - [x] CPU C++ implementation - [x] unittests - [x] update softmax documentation - [x] autograd support - [x] sparse log_softmax - [x] CPU C++ implementation - [x] unittests - [x] update log_softmax documentation - [x] autograd support Pull Request resolved: https://github.com/pytorch/pytorch/pull/36305 Differential Revision: D21566540 Pulled By: ezyang fbshipit-source-id: a632ea69c38622f960721482e442efeb8d0a54fc |
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