introduce a versatile sparse tensor type to MatX (experimental) #821
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aartbik
commented
Jan 15, 2025
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This PR introduces the implementation of a single versatile sparse tensor type that uses a tensor format DSL (Domain Specific Language) to describe a vast space of storage formats. Although the tensor format can easily define many common storage formats (such as Dense, COO, CSR, CSC, BSR), it can also define many less common storage formats. In addition, the tensor format DSL can be extended to include even more storage formats in the future. This first PR simply introduces all storage details for the single versatile sparse tensor type, together with some factory methods for constructing COO, CSR, and CSC sparse matrices from MatX buffers. Later PRs will introduce more general ways of constructing sparse tensors (e.g. from file) and actual operations like SpMV and SpMM using cuSPARSE.
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cliffburdick
approved these changes
Jan 16, 2025
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This PR introduces the implementation of a single versatile sparse tensor type that uses a tensor format DSL (Domain Specific Language) to describe a vast space of storage formats. Although the tensor format can easily define many common storage formats (such as Dense, COO, CSR, CSC, BSR), it can also define many less common storage formats. In addition, the tensor format DSL can be extended to include even more storage formats in the future.
This first PR simply introduces all storage details for the single versatile sparse tensor type, together with some factory methods for constructing COO, CSR, and CSC sparse matrices from MatX buffers. Later PRs will introduce more general ways of constructing sparse tensors (e.g. from file) and actual operations like SpMV and SpMM using cuSPARSE.