debug-cuda-crash

Debugging a CUDA illegal memory access crash requires logging detailed kernel API calls and capturing tensor states before the failure. This Skill records function inputs and outputs to help pinpoint shape mismatches, NaNs, or illegal memory accesses during GPU computation.

Finding shape mismatches causing GPU errors involves inspecting tensor shapes and dtypes right before crashes occur. This Skill captures tensor data snapshots and logs kernel calls to aid in identifying erroneous data inputs during computation tasks.

Kernel API logging helps diagnose CUDA crashes by recording detailed function calls, inputs, and outputs during execution. This tracking mechanism reveals the exact sequence of GPU operations leading up to tensor state errors or illegal memory accesses.

Yes, you can inspect tensor values and dtypes before a CUDA crash happens by enabling tensor data snapshots. This Skill captures tensor shapes and values during GPU computation to help identify NaNs or erroneous data causing the crash.

You need to enable kernel API logging for GPU computation tasks when encountering mysterious CUDA errors like illegal memory accesses. Activating this logging before running your code captures the detailed function calls needed to diagnose shape mismatches or NaNs.