[ATen][CPU][Sparse] Use Third-Party Eigen for sparse add and addmm (#155357)

This pull request adds the following ops for sparse matrices using Eigen library:
```python
    add(a_csr, b_csr)
    add(a_csc, b_csc)

    addmm(c_csr, a_csr, b_csr)
    addmm(c_csr, a_csr, b_csc)
    addmm(c_csr, a_csc, b_csc)
    addmm(c_csr, a_csc, b_csr)

    addmm(c_csc, a_csr, b_csr)
    addmm(c_csc, a_csr, b_csc)
    addmm(c_csc, a_csc, b_csc)
    addmm(c_csc, a_csc, b_csr)
```

Currently, the operations for sparse matrices on CPU are available through MKL only. The non-existence of MKL on `aarch64` causes the unavailability of these ops on any machines with ARM based CPUs, including Apple Silicon, AWS Graviton and NVIDIA Grace. This PR addresses this issue by using Eigen as a backend for the above ops.

This is a re-factored version of my previous PR #101814. The main difference with the old one, this does not enable Eigen by default.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/155357
Approved by: https://github.com/pearu, https://github.com/eqy

Co-authored-by: Eli Uriegas <eliuriegas@meta.com>
This commit is contained in:
Aidyn-A
2025-08-23 19:03:55 +00:00
committed by PyTorch MergeBot
parent 4acdbb8311
commit 3e5b021f21
14 changed files with 426 additions and 8 deletions

View File

@ -1148,6 +1148,9 @@ def define_buck_targets(
"--replace",
"@AT_KLEIDIAI_ENABLED@",
"0",
"--replace",
"@AT_USE_EIGEN_SPARSE@",
"0",
]),
outs = {
"Config.h": ["Config.h"],