# KernelBench operators

> **Placeholder.** This benchmark is here so the benchmark panel can be tried out. Its baseline is from the blueprint or the literature as of 2026-10-19 and must be checked again; every route and score after it is made up.

## Task

Write GPU kernels that compute what twelve PyTorch operators and modules from Stanford’s KernelBench compute, faster. A kernel counts only if it matches the PyTorch reference on random inputs. The score is the geometric mean speed-up over PyTorch eager on the pinned runner, so the baseline is exactly 1. Triton, CUDA and anything else that compiles on the runner is fine.

## How to take part

Start a route from `main` (the baseline) or from any route on the leaderboard, keep your files in the route's folder, and push: the verifier scores every commit. Say what your route changes with tags, and keep the misses: a route that scores worse is a result too.