"""Offline rewards (no GPU needed) for both subsets. With a GPU, the real reward is measured latency (or run the task through KernelGYM). These are the cheap proxies for rollouts without hardware. """ import difflib import json import re # --------------------------------------------------------------------------- tuned_configs def parse_answer(completion: str) -> dict | None: """Last parseable flat JSON object in the completion.""" for m in reversed(re.findall(r"\{[^{}]*\}", completion)): try: return json.loads(m) except json.JSONDecodeError: pass return None def config_reward(pred: dict | None, best: dict) -> float: """Score a predicted launch config against the autotuned best config, in [0, 1]. `best` example: {"BLOCK_SIZE_M": 16, "BLOCK_SIZE_N": 64, "BLOCK_SIZE_K": 128, "GROUP_SIZE_M": 1, "num_warps": 4, "num_stages": 5} """ # TODO(you): define the partial-credit scheme. raise NotImplementedError def reward(completion: str, best_config: str) -> float: return config_reward(parse_answer(completion), json.loads(best_config)) # --------------------------------------------------------------------------- kernel_commits EDIT_RE = re.compile(r"<<<<<<< SEARCH\n(.*?)\n=======\n(.*?)\n?>>>>>>> REPLACE", re.S) def apply_edits(code: str, completion: str) -> str | None: """Apply SEARCH/REPLACE blocks in order; None if there are none or any SEARCH text isn't in the file.""" edits = EDIT_RE.findall(completion) if not edits: return None for search, replace in edits: if search not in code: return None code = code.replace(search, replace, 1) return code def _changed_lines(before: str, after: str) -> str: diff = difflib.unified_diff(before.splitlines(), after.splitlines(), lineterm="", n=0) return "\n".join(l for l in diff if l[:1] in "+-" and not l.startswith(("+++", "---"))) def patch_reward(completion: str, before_code: str, after_code: str) -> float: """SWE-RL-style: -1 for malformed/inapplicable edits, else similarity of the changed lines to the real commit's.""" pred = apply_edits(before_code, completion) if pred is None: return -1.0 return difflib.SequenceMatcher(None, _changed_lines(before_code, pred), _changed_lines(before_code, after_code)).ratio()