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Optimize index math in PyTorch CUDA kernels.
The Cuda Index Width skill helps developers choose between 32-bit and 64-bit index math in PyTorch CUDA kernels. This is crucial for preventing large-tensor indexing overflows, especially when working with tensors that approach or exceed 2^31 elements. The skill guides users on when to use `int64_t`, `canUse32BitIndexMath`, and other utilities to ensure efficient and safe indexing in CUDA kernels, while also considering performance and binary size implications.