tensor-kernels

This paper proposes an operator-aware calibration method for absolute tolerances in tensor kernel correctness tests, using error distribution data to set tighter thresholds. The method achieves a 9.3% absolute recall improvement in bug detection with minimal false positives, demonstrated on the gpuemu corpus.