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pytorch/third_party
Pawel Swider d97f6550a2 [Intel GPU] Xpu matmul implementation for complex dtype (#160867)
Enabling complex datatype support for 4 ops: `mm`, `bmm`, `addmm`, `baddbmm` for XPU. From now implementation will call functions created in: https://github.com/intel/torch-xpu-ops/pull/1992.

Additionally added complex datatype tests for matmul operators. More detailed tests are going to be enabled in: https://github.com/intel/torch-xpu-ops/pull/1993

CI runs have found that `test_comprehensive_linalg_eig_xpu` tests were calling internally matmul with complex datatype. With this PR test starts to pass so linalg.eig was removed from `inductor_expected_failures_single_sample["xpu"]` as otherwise it was failing with: `Unexpected success` message.

Part of: https://github.com/intel/torch-xpu-ops/issues/1853

Pull Request resolved: https://github.com/pytorch/pytorch/pull/160867
Approved by: https://github.com/guangyey, https://github.com/ZhiweiYan-96, https://github.com/gujinghui, https://github.com/EikanWang, https://github.com/Silv3S, https://github.com/CuiYifeng, https://github.com/jansel
2025-10-25 17:13:13 +00:00
..
2025-09-17 03:04:09 +00:00
2023-01-31 00:22:28 +00:00

This folder contains vendored copies of third-party libraries that we use.