mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 21:14:14 +08:00
[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:
committed by
PyTorch MergeBot
parent
4acdbb8311
commit
3e5b021f21
@ -1148,6 +1148,9 @@ def define_buck_targets(
|
||||
"--replace",
|
||||
"@AT_KLEIDIAI_ENABLED@",
|
||||
"0",
|
||||
"--replace",
|
||||
"@AT_USE_EIGEN_SPARSE@",
|
||||
"0",
|
||||
]),
|
||||
outs = {
|
||||
"Config.h": ["Config.h"],
|
||||
|
Reference in New Issue
Block a user