Hacky support for meta tensor serialization. (#62192)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/62192
This support is hacky because it doesn't preserve meta tensor storage
sharing (e.g., if you serialize a model with shared storage, e.g., a
tensor and a view on a tensor, when I deserialize the viewing
relationship will be broken and these are just different tensors.) The
hack is also durable, in the sense that we will be on the hook for
supporting `_rebuild_meta_tensor_no_storage` in perpetuity in the
future, even if we change our mind about the serialization format.
This unblocks an FB production use case. I didn't add C++ support to minimize
blast area of this patch.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Test Plan: Imported from OSS
Reviewed By: zou3519
Differential Revision: D29910535
Pulled By: ezyang
fbshipit-source-id: d98dcdd0108dfc3ae730a071d3c583b6d0281d21
