ascend-opplugin
Installs op-plugin (torch_npu operator plugin) environment and guides custom NPU operator integration with PyTorch via three patterns (A: no workspace, B: workspace+tiling, C: OpCommand reuse). Covers kernel implementation, host registration, build, and test. Use when working with op-plugin, operator integration, torch_npu custom ops, Ascend C, NPU operators, cpp_extension, xpu_kernel, or running custom operators on NPU.
Installation and usage
Installs op-plugin (torch_npu operator plugin) environment and guides custom NPU operator integration with PyTorch via three patterns (A: no workspace, B: workspace+tiling, C: OpCommand reuse). Covers kernel implementation, host registration, build, and test. Use when working with op-plugin, operator integration, torch_npu custom ops, Ascend C, NPU operators, cpp_extension, xpu_kernel, or running custom operators on NPU.
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skills use ascend-opplugin