Aoti Debug
pytorch/pytorchThis guide helps you fix crashes and errors when using AOTInductor in PyTorch. You may see segfaults, device mismatch, or constant loading failures. The skill walks you through common problems and their solutions. It is built for developers who run into runtime errors after compiling models with aot_compile or aot_load.
You will learn to check that the compile device matches the load device. You will also check that input shapes and devices are correct. Following these steps helps you avoid many errors quickly. For trickier issues like CUDA illegal memory access, there are special flags to get clear error messages.
Use this skill whenever your AOTI code crashes or produces wrong output. It saves time by pointing you to the most likely causes first.
Add Aoti Debug skill to your workflow
Global
mkdir -p ~/.claude/skills/aoti-debugProject
mkdir -p .claude/skills/aoti-debugSource Repository
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