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StarPilot/tinygrad_repo/test/external/process_replay/process_replay.py
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2026-10-20 03:55:45 +00:00

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#!/usr/bin/env python3
# compare kernels created by HEAD against master
import os, multiprocessing, logging, pickle, sqlite3, difflib, warnings, functools, base64, codecs
from concurrent.futures import ProcessPoolExecutor
from dataclasses import replace
from typing import Callable, Any
ASSERT_DIFF = int((flag:="[PR]") in os.getenv("COMMIT_MESSAGE", flag) or flag in os.getenv("PR_TITLE", flag))
if not int(os.getenv("ASSERT_PROCESS_REPLAY", "1")): ASSERT_DIFF = 0
try:
from tinygrad.renderer import Renderer
from tinygrad.codegen import to_program
from tinygrad.uop.ops import UOp, Ops
from tinygrad.helpers import VERSION, Context, ContextVar, colored, db_connection, getenv, tqdm
except ImportError as e:
print(repr(e))
exit(int(ASSERT_DIFF))
# *** process replay settings
# internal
PAGE_SIZE = getenv("PAGE_SIZE", 100)
REF = os.getenv("GITHUB_REF_NAME", "")
MAX_DIFF_PCT = getenv("PROCESS_REPLAY_MAX_DIFF_PCT", 20)
TABLE_NAME = f"process_replay_{VERSION}"
os.environ["CAPTURE_PROCESS_REPLAY"] = "0"
early_stop = multiprocessing.Event()
logging.basicConfig(level=logging.INFO, format="%(message)s")
MAX_LINES = 500
def trunc_log(x):
if len(lines:=(x if isinstance(x, str) else repr(x)).splitlines()) > MAX_LINES:
lines = lines[:MAX_LINES]+[f"WARN: truncated string with {len(lines)} lines"]
logging.info("\n".join(lines))
# user config
SKIP_PROCESS_REPLAY = (k:="[skip_process_replay]") in os.getenv("COMMIT_MESSAGE", "") or k in os.getenv("PR_TITLE", "")
# uncomment this to disable by default
#SKIP_PROCESS_REPLAY = not ASSERT_DIFF and not ((k:="[p]") in os.getenv("COMMIT_MESSAGE", "") or k in os.getenv("PR_TITLE", ""))
if REF == "master": SKIP_PROCESS_REPLAY = True
class ProcessReplayWarning(Warning): pass
# *** replay the function and convert return values to string
def replay_to_program(p:UOp, ast:UOp, renderer:Renderer) -> tuple[str, str, tuple[Any, ...]]:
if ast.op is Ops.PROGRAM: input_ast = ast
else:
sink_arg = ast.arg
if sink_arg.beam: sink_arg = replace(sink_arg, opts_to_apply=p.src[0].arg.applied_opts)
input_ast = ast.replace(arg=replace(sink_arg, name=p.src[0].arg.name))
p2 = to_program(input_ast, renderer=renderer)
device = renderer.target.device
def to_str(ret:UOp) -> str:
src = next(x.arg for x in ret.src if x.op is Ops.SOURCE)
# PYTHON renderer pickles UOps, first unpickle and decode here
if device.startswith("PYTHON"): return "\n".join([str(x) for x in pickle.loads(base64.b64decode(src))])
return src
# properly color the name arg
ast_repr = codecs.decode(str(input_ast), "unicode_escape")
return to_str(p2), to_str(p), (ast_repr, renderer)
replayers: dict[str, Callable[..., tuple[str, str, tuple[Any, ...]]]] = {}
replayers["do_to_program"] = replay_to_program
# *** run replayers on captured rows and print diffs
def diff(offset:int, fxns:dict[str, Callable[..., tuple|None]]) -> None:
if ASSERT_DIFF: warnings.filterwarnings("error", category=ProcessReplayWarning)
if early_stop.is_set(): return None
conn = db_connection()
cur = conn.cursor()
cur.execute(f"SELECT val FROM '{TABLE_NAME}' LIMIT ? OFFSET ?", (PAGE_SIZE, offset))
changed = 0
for row in cur.fetchall():
if changed > MAX_DIFF_PCT:
warnings.warn(f"detected changes in over {MAX_DIFF_PCT}%. skipping further diff generation.", ProcessReplayWarning)
early_stop.set()
break
name, loc = "", ""
try:
name, args, kwargs, ctx_vals, ret = pickle.loads(row[0])
loc = ctx_vals["PROCESS_REPLAY_LOC"].value
ctx_vars = {k:v.value for k,v in ctx_vals.items() if k not in ("DEBUG", "CAPTURE_PROCESS_REPLAY")
and (var:=ContextVar._cache.get(k)) is not None and var.value != v.value}
if (replayer:=fxns.get(name)) is None: continue
with Context(**ctx_vars):
if (ret:=replayer(ret, *args, **kwargs)) is None: continue
good, compare, metadata = ret
if good != compare:
for m in metadata: trunc_log(m)
logging.info(loc)
for line in difflib.unified_diff(good.splitlines(), compare.splitlines()):
logging.info(colored(line, "red" if line.startswith("-") else "green" if line.startswith("+") else None))
if ctx_vars: logging.info(ctx_vars)
warnings.warn("PROCESS REPLAY DETECTED CHANGE", ProcessReplayWarning)
except Exception as e:
changed += 1
warnings.warn(f"{name=} {loc=} {e=}", ProcessReplayWarning)
cur.close()
# *** generic runner to map rows of a table to a function in parallel
def _pmap(fxns:dict[str, Callable]) -> None:
conn = db_connection()
cur = conn.cursor()
try: row_count = cur.execute(f"select count(*) from '{TABLE_NAME}'").fetchone()[0]
except sqlite3.OperationalError:
raise RuntimeError(f"{TABLE_NAME} isn't accessible in master, did DB_VERSION change?")
finally:
cur.close()
with ProcessPoolExecutor(multiprocessing.cpu_count(), mp_context=multiprocessing.get_context("spawn")) as pool:
with tqdm(total=row_count) as bar:
for _ in pool.map(functools.partial(diff, fxns=fxns), range(0, row_count, s:=min(PAGE_SIZE, row_count))): bar.update(min(s, row_count-bar.n))
# *** main loop
if __name__ == "__main__":
if SKIP_PROCESS_REPLAY:
logging.info("skipping process replay.")
exit(0)
logging.info(f"running process replay with {ASSERT_DIFF=}")
try: _pmap(replayers)
except Exception as e:
logging.info(f"process replay err: {e}")
exit(int(ASSERT_DIFF))