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
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test_conv.py
test_fusion.py	[Intel GPU] convolution fusion at XPU backend (#154202)	2025-05-28 03:14:18 +00:00
test_gemm.py	[Intel GPU] Xpu matmul implementation for complex dtype (#160867)	2025-10-25 17:13:13 +00:00