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CUDA · By intel
5 skills found.
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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Add a new hardware inference backend to AutoRound for deploying quantized models (e.g., CUDA/Marlin, Triton, CPU, HPU, ARK). | intel/ | 1.6k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Convert PyTorch ATDISPATCH macros to ATDISPATCHV2 format in ATen C++ code. | intel/ | 115 | 3 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Review PyTorch upstream unit-test (UT) PRs that enable Intel GPU (XPU) on existing tests. | intel/ | 115 | — | ~917 | Automated safety check: Pass | Apache-2.0 | today |
| 4 | How to create a pull request for the intel/torch-xpu-ops repository. | intel/ | 115 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Generate and analyze T1/T2/R roofline reports for PyTorch OOB workloads comparing Intel XPU and NVIDIA CUDA. | intel/ | 115 | — | ~681 | Automated safety check: Pass | Apache-2.0 | yesterday |
