Download tasks/cpu-decoder-graph-executor/tests/grader_core.py from bespokelabs/AutoResearchExam: direct link, hf CLI and curl.
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13.4 kB
| import json | |
| import math | |
| import os | |
| import select | |
| import signal | |
| import statistics | |
| import struct | |
| import subprocess | |
| import sys | |
| import time | |
| import numpy as np | |
| sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) | |
| import graph_spec | |
| _HDR = struct.Struct("<4sQ") | |
| N_WORKERS = 8 | |
| N_CPUS = 8 | |
| WARMUPS = 3 | |
| REPS = 15 | |
| BUILD_TIMEOUT_SEC = 20.0 | |
| CALL_TIMEOUT_SEC = 120.0 | |
| ABS_TOL = 1e-3 | |
| REL_TOL = 1e-3 | |
| AGENT_UID = 1001 | |
| class WorkerError(RuntimeError): | |
| """Any failure of a child: crash, protocol violation, timeout, bad output.""" | |
| def _uid_of(pid): | |
| try: | |
| with open("/proc/%d/status" % pid, "rb") as fh: | |
| for line in fh: | |
| if line.startswith(b"Uid:"): | |
| return int(line.split()[1]) | |
| except (OSError, IndexError, ValueError): | |
| pass | |
| return None | |
| def _tasks_stopped(pids): | |
| for pid in pids: | |
| try: | |
| tids = os.listdir("/proc/%d/task" % pid) | |
| except OSError: | |
| continue | |
| for tid in tids: | |
| try: | |
| with open("/proc/%d/task/%s/stat" % (pid, tid), "rb") as fh: | |
| state = fh.read().rsplit(b")", 1)[1].split()[0] | |
| except (OSError, IndexError): | |
| continue | |
| if state not in (b"T", b"Z", b"X"): | |
| return False | |
| return True | |
| class Child: | |
| """A worker subprocess, SIGSTOPped whenever it is not the one being timed.""" | |
| def __init__(self, kind, rundir, python, launch_prefix=(), env=None, | |
| popen_kwargs=None): | |
| self.kind = kind | |
| argv = list(launch_prefix) + [python, "-I", "-B", | |
| os.path.join(rundir, "worker.py"), kind] | |
| self.proc = subprocess.Popen( | |
| argv, stdin=subprocess.PIPE, stdout=subprocess.PIPE, | |
| stderr=subprocess.PIPE, cwd=rundir, env=env, close_fds=True, | |
| start_new_session=True, **(popen_kwargs or {})) | |
| self.rfd = self.proc.stdout.fileno() | |
| self.wfd = self.proc.stdin.fileno() | |
| self.stopped = False | |
| self._pids = None | |
| self._expect(b"HI", BUILD_TIMEOUT_SEC) | |
| def _send(self, cmd, payload=b""): | |
| buf = _HDR.pack(cmd.ljust(4, b"\0"), len(payload)) + payload | |
| off = 0 | |
| deadline = time.monotonic() + CALL_TIMEOUT_SEC | |
| while off < len(buf): | |
| if time.monotonic() > deadline: | |
| raise WorkerError("%s: timed out sending a request" % self.kind) | |
| _, w, _ = select.select([], [self.wfd], [], 1.0) | |
| if not w: | |
| continue | |
| try: | |
| off += os.write(self.wfd, buf[off:off + (1 << 20)]) | |
| except OSError as exc: | |
| raise WorkerError("%s: pipe closed while sending (%s)" % (self.kind, exc)) | |
| def _read_exactly(self, n, deadline): | |
| out = bytearray() | |
| while len(out) < n: | |
| remaining = deadline - time.monotonic() | |
| if remaining <= 0: | |
| raise WorkerError("%s: timed out waiting for a response" % self.kind) | |
| r, _, _ = select.select([self.rfd], [], [], min(1.0, remaining)) | |
| if not r: | |
| continue | |
| chunk = os.read(self.rfd, n - len(out)) | |
| if not chunk: | |
| raise WorkerError("%s: exited before responding (rc=%s)" | |
| % (self.kind, self.proc.poll())) | |
| out += chunk | |
| return bytes(out) | |
| def _expect(self, cmd, timeout): | |
| deadline = time.monotonic() + timeout | |
| got, ln = _HDR.unpack(self._read_exactly(_HDR.size, deadline)) | |
| payload = self._read_exactly(ln, deadline) if ln else b"" | |
| got = got.rstrip(b"\0") | |
| if got != cmd: | |
| raise WorkerError("%s: expected %r, got %r" % (self.kind, cmd, got)) | |
| return payload | |
| def _signal(self, sig): | |
| try: | |
| os.killpg(self.proc.pid, sig) | |
| except OSError: | |
| pass | |
| def tree_pids(self, refresh=False): | |
| """The child's own process tree, including anything it started itself.""" | |
| if self._pids is not None and not refresh: | |
| return self._pids | |
| seen, stack = [], [self.proc.pid] | |
| while stack: | |
| pid = stack.pop() | |
| seen.append(pid) | |
| try: | |
| for tid in os.listdir("/proc/%d/task" % pid): | |
| with open("/proc/%d/task/%s/children" % (pid, tid)) as fh: | |
| stack.extend(int(v) for v in fh.read().split()) | |
| except (OSError, ValueError): | |
| pass | |
| self._pids = seen | |
| return seen | |
| def freeze(self): | |
| """SIGSTOP, then wait until every thread has really stopped. | |
| Returning early would let this child's threads -- BLAS worker threads busy-spin | |
| for a while after the last call returns -- drain into the other child's timed | |
| region, which would bias whichever executor is measured second. | |
| """ | |
| if not self.stopped: | |
| self._signal(signal.SIGSTOP) | |
| self.stopped = True | |
| deadline = time.monotonic() + 2.0 | |
| while not _tasks_stopped(self.tree_pids()): | |
| if time.monotonic() > deadline: | |
| break | |
| time.sleep(0.0002) | |
| def thaw(self): | |
| if self.stopped: | |
| self._signal(signal.SIGCONT) | |
| self.stopped = False | |
| self._send(b"PING") | |
| self._expect(b"PONG", CALL_TIMEOUT_SEC) | |
| def build(self, seed): | |
| t0 = time.perf_counter() | |
| self._send(b"BLD", str(int(seed)).encode()) | |
| self._expect(b"RDY", BUILD_TIMEOUT_SEC) | |
| return time.perf_counter() - t0 | |
| def call(self, xb): | |
| """Round-trip one input. Returns (seconds, header, raw output bytes).""" | |
| t0 = time.perf_counter() | |
| self._send(b"CALL", xb) | |
| payload = self._expect(b"OUT", CALL_TIMEOUT_SEC) | |
| dt = time.perf_counter() - t0 | |
| head, _, body = payload.partition(b"|") | |
| return dt, head.decode("utf-8", "replace"), body | |
| def stderr_tail(self, limit=2000): | |
| self._signal(signal.SIGCONT) | |
| self._signal(signal.SIGKILL) | |
| try: | |
| return self.proc.stderr.read().decode("utf-8", "replace")[-limit:] | |
| except Exception: | |
| return "" | |
| def close(self): | |
| self._signal(signal.SIGCONT) | |
| self.stopped = False | |
| try: | |
| self._send(b"EXIT") | |
| self.proc.wait(timeout=10) | |
| except Exception: | |
| self._signal(signal.SIGKILL) | |
| try: | |
| self.proc.wait(timeout=10) | |
| except subprocess.TimeoutExpired: | |
| pass | |
| for stream in (self.proc.stdin, self.proc.stdout, self.proc.stderr): | |
| try: | |
| stream.close() | |
| except Exception: | |
| pass | |
| def _quiesce(active): | |
| """Stop every unprivileged process that is not part of `active`'s tree. | |
| An executor that detaches a helper into its own session would otherwise keep burning | |
| cycles while the other executor is on the clock. Only the privileged harness can do | |
| this, so the developer-side harness (which runs unprivileged) skips it; the minimum | |
| statistic is what protects a measurement there. | |
| """ | |
| if os.geteuid() != 0: | |
| return 0 | |
| keep_pids = set(active.tree_pids(refresh=True)) | |
| strays = 0 | |
| try: | |
| pids = [int(p) for p in os.listdir("/proc") if p.isdigit()] | |
| except OSError: | |
| return 0 | |
| for pid in pids: | |
| if pid in keep_pids or _uid_of(pid) != AGENT_UID: | |
| continue | |
| try: | |
| os.kill(pid, signal.SIGSTOP) | |
| strays += 1 | |
| except OSError: | |
| pass | |
| return strays | |
| def _check_output(head, body, spec): | |
| """Validate a returned tensor. Returns the array or raises WorkerError.""" | |
| T, d = spec["T"], spec["d_model"] | |
| try: | |
| ndim, dtype, dims = head.split(",") | |
| dims = tuple(int(v) for v in dims.split("x")) if dims else () | |
| except ValueError: | |
| raise WorkerError("unparseable output header %r" % head) | |
| if int(ndim) != 2 or dims != (T, d): | |
| raise WorkerError("output shape %r, expected (%d, %d)" % (dims, T, d)) | |
| if dtype != "float32": | |
| raise WorkerError("output dtype %r, expected float32" % dtype) | |
| if len(body) != T * d * 4: | |
| raise WorkerError("output payload is %d bytes, expected %d" | |
| % (len(body), T * d * 4)) | |
| return np.frombuffer(body, dtype=np.float32).reshape(T, d) | |
| def _errors(y, y_ref): | |
| a = y.astype(np.float64) | |
| b = y_ref.astype(np.float64) | |
| if not np.all(np.isfinite(a)): | |
| return float("inf"), float("inf") | |
| diff = np.abs(a - b) | |
| max_abs = float(diff.max()) if diff.size else 0.0 | |
| denom = float(np.linalg.norm(b)) | |
| rel = float(np.linalg.norm(diff) / denom) if denom > 0 else max_abs | |
| return max_abs, rel | |
| def measure_instance(seed, ref, sub, warmups=WARMUPS, reps=REPS): | |
| """Time one instance. Returns a record; raises WorkerError on any child failure.""" | |
| spec = graph_spec.sample_spec(seed) | |
| xbs = [np.ascontiguousarray(x).tobytes() | |
| for x in graph_spec.build_inputs(spec, warmups + reps)] | |
| ref.freeze() | |
| sub.thaw() | |
| build_sub = sub.build(seed) | |
| sub.freeze() | |
| ref.thaw() | |
| build_ref = ref.build(seed) | |
| ref.freeze() | |
| times = {id(ref): [], id(sub): []} | |
| max_abs = 0.0 | |
| max_rel = 0.0 | |
| strays = 0 | |
| for i, xb in enumerate(xbs): | |
| first, second = (ref, sub) if i % 2 == 0 else (sub, ref) | |
| got = {} | |
| for child in (first, second): | |
| other = sub if child is ref else ref | |
| other.freeze() | |
| strays += _quiesce(child) | |
| child.thaw() | |
| dt, head, body = child.call(xb) | |
| child.freeze() | |
| got[id(child)] = (dt, head, body) | |
| y_ref = _check_output(got[id(ref)][1], got[id(ref)][2], spec) | |
| y_sub = _check_output(got[id(sub)][1], got[id(sub)][2], spec) | |
| a, r = _errors(y_sub, y_ref) | |
| max_abs = max(max_abs, a) | |
| max_rel = max(max_rel, r) | |
| if i >= warmups: | |
| times[id(ref)].append(got[id(ref)][0]) | |
| times[id(sub)].append(got[id(sub)][0]) | |
| ref_t, sub_t = times[id(ref)], times[id(sub)] | |
| ref_best, sub_best = min(ref_t), min(sub_t) | |
| equivalent = bool(max_abs <= ABS_TOL and max_rel <= REL_TOL) | |
| return { | |
| "seed": int(seed), | |
| "shape": {k: spec[k] for k in | |
| ("d_model", "d_ff", "n_layers", "n_heads", "n_kv_heads", "T")}, | |
| "ref_best_s": ref_best, | |
| "sub_best_s": sub_best, | |
| "ref_median_s": statistics.median(ref_t), | |
| "sub_median_s": statistics.median(sub_t), | |
| "ref_jitter": statistics.median(ref_t) / ref_best - 1.0, | |
| "sub_jitter": statistics.median(sub_t) / sub_best - 1.0, | |
| "build_ref_s": build_ref, | |
| "build_sub_s": build_sub, | |
| "strays_stopped": strays, | |
| "max_abs_err": max_abs, | |
| "rel_fro_err": max_rel, | |
| "equivalent": equivalent, | |
| "ratio": (ref_best / sub_best) if (equivalent and sub_best > 0) else 0.0, | |
| } | |
| def child_env(): | |
| """The environment both children get. BLAS gets the full worker budget.""" | |
| return { | |
| "PATH": "/usr/local/bin:/usr/local/sbin:/usr/sbin:/usr/bin:/sbin:/bin", | |
| "HOME": "/tmp", | |
| "LANG": "C.UTF-8", | |
| "PYTHONDONTWRITEBYTECODE": "1", | |
| "PYTHONHASHSEED": "0", | |
| "OPENBLAS_NUM_THREADS": str(N_WORKERS), | |
| "OMP_NUM_THREADS": str(N_WORKERS), | |
| "MKL_NUM_THREADS": str(N_WORKERS), | |
| "NUMEXPR_NUM_THREADS": str(N_WORKERS), | |
| "EXEC_N_WORKERS": str(N_WORKERS), | |
| "EXEC_N_CPUS": str(N_CPUS), | |
| } | |
| def measure(seeds, rundir, python=sys.executable, launch_prefix=(), | |
| popen_kwargs=None): | |
| """Measure every instance and aggregate. Returns the metric record.""" | |
| env = child_env() | |
| ref = sub = None | |
| per_instance = [] | |
| failure = None | |
| stderr_tail = "" | |
| try: | |
| ref = Child("ref", rundir, python, (), env, None) | |
| sub = Child("sub", rundir, python, launch_prefix, env, popen_kwargs) | |
| for seed in seeds: | |
| per_instance.append(measure_instance(int(seed), ref, sub)) | |
| except WorkerError as exc: | |
| failure = str(exc) | |
| except Exception as exc: | |
| failure = "%s: %s" % (type(exc).__name__, exc) | |
| finally: | |
| if failure is not None and sub is not None: | |
| stderr_tail = sub.stderr_tail() | |
| for child in (ref, sub): | |
| if child is not None: | |
| try: | |
| child.close() | |
| except Exception: | |
| pass | |
| n_ok = sum(1 for r in per_instance if r["equivalent"]) | |
| valid = bool(failure is None and len(per_instance) == len(seeds) == n_ok) | |
| if valid: | |
| metric = math.exp( | |
| sum(math.log(r["ratio"]) for r in per_instance) / len(per_instance)) | |
| else: | |
| metric = 0.0 | |
| return { | |
| "metric_name": "geometric_mean_speedup", | |
| "metric": metric, | |
| "valid": valid, | |
| "failure": failure, | |
| "stderr_tail": stderr_tail, | |
| "n_instances": len(seeds), | |
| "n_equivalent": n_ok, | |
| "per_instance": per_instance, | |
| } | |
| def dump(record, path): | |
| with open(path, "w") as fh: | |
| json.dump(record, fh, indent=2, sort_keys=True) | |