make torch.save(PrivateUse1's Tensor) more generalizable #126384
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Fixes #121797
As described in the issue, currently, torch is unable to save
SpraseCOOTensor in PrivateUse1
(including csr/csc/bsr/bsc). The reason is that SparseTensor does not have storage, and numpy cannot handle sparse, so it cannot be saved.I think
PrivateUse1
should be moreCUDA
oriented than a few special devices likeXLA, MTIA, MAIA
.Please let me know if the deleted code is necessary in some special scenarios.
cc @NmomoN @mengpenghui @fwenguang @cdzhan @1274085042 @PHLens