Using assert or printf for error reporting inside kernels is highly performance‑inefficient. It prevents key optimizations and has resulted in up to a 20% performance regression.
However, when a kernel fails, users still need clear diagnostics explaining the failure.
Therefore, we need to design and implement an efficient assertion and error‑reporting mechanism that preserves performance. This may require non‑trivial PyTorch design changes, spanning from the Python frontend down to kernel implementations.
Using assert or printf for error reporting inside kernels is highly performance‑inefficient. It prevents key optimizations and has resulted in up to a 20% performance regression.
However, when a kernel fails, users still need clear diagnostics explaining the failure.
Therefore, we need to design and implement an efficient assertion and error‑reporting mechanism that preserves performance. This may require non‑trivial PyTorch design changes, spanning from the Python frontend down to kernel implementations.