| commit | 33b463ad9976fa7a27c1a22419297fcccd79f99f | [log] [tgz] |
|---|---|---|
| author | Aart Bik <39774503+aartbik@users.noreply.github.com> | Thu Feb 01 13:32:52 2024 -0800 |
| committer | GitHub <noreply@github.com> | Thu Feb 01 13:32:52 2024 -0800 |
| tree | 7e713451ca74b78f65289af11b5f88c0ba89c3b1 | |
| parent | 5cf0fb4317f4f9a5e48d8dc1f861d63b5e0df11c [diff] |
[mlir][sparse] external entry method wrapper for sparse tensors (#80326) Similar to the emit_c_interface, this pull request adds a pass that converts public entry methods that use sparse tensors as input parameters and/or output return values into wrapper functions that [dis]assemble the individual tensors that constitute the actual storage used externally into MLIR sparse tensors. This pass can be used to prepare the public entry methods of a program that is compiled by the MLIR sparsifier to interface with an external runtime, e.g., when passing sparse tensors as numpy arrays from and to Python. Note that eventual bufferization decisions (e.g. who [de]allocates the underlying memory) should be resolved in agreement with the external runtime (Python, PyTorch, JAX, etc.)
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