pytorch

daef60c3 - Initial support for sparse complex tensors constructors for CPU/CUDA (#54153)

Initial support for sparse complex tensors constructors for CPU/CUDA (#54153) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/54153 Currently, sparse tensors only support real floating point tensors. Complex support is added in this PR for CPU/CUDA. - [x] add complex support (torch.cfloat and torch.cdouble) to torch.sparse_coo_tensor constructors - [x] add complex support to coalesce function - [x] add complex support to to_dense function - [x] add complex support to to_sparse function - [x] add complex support to sparse_add function - [x] add unit tests Note: This PR contains only complex support for torch.sparse_coo_tensor fordward function and the related ops used with this function (coalesce, to_dense, to_sparse, and sparse_add). The following PRs in ghstack should cover other sparse operations to have a more complex sparse support, specifically related with the use of specific APIs for accelerated linear algebra. Note: Before using ghstack the original PR was #50984 Test Plan: Imported from OSS Reviewed By: H-Huang Differential Revision: D27765618 Pulled By: ezyang fbshipit-source-id: a9cdd31d5c7a7dafd790f6cc148f3df26e884c89