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38 lines
2.5 KiB
38 lines
2.5 KiB
import sys, pickle, decimal, json
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from tinygrad.device import ProfileEvent, ProfileDeviceEvent, ProfileRangeEvent, ProfileGraphEvent
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from tinygrad.helpers import tqdm, temp
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devices:dict[str, tuple[decimal.Decimal, decimal.Decimal, int]] = {}
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def prep_ts(device:str, ts:decimal.Decimal, is_copy): return int(decimal.Decimal(ts) + devices[device][is_copy])
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def dev_to_pid(device:str, is_copy=False): return {"pid": devices[device][2], "tid": int(is_copy)}
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def dev_ev_to_perfetto_json(ev:ProfileDeviceEvent):
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devices[ev.device] = (ev.comp_tdiff, ev.copy_tdiff if ev.copy_tdiff is not None else ev.comp_tdiff, len(devices))
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return [{"name": "process_name", "ph": "M", "pid": dev_to_pid(ev.device)['pid'], "args": {"name": ev.device}},
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{"name": "thread_name", "ph": "M", "pid": dev_to_pid(ev.device)['pid'], "tid": 0, "args": {"name": "COMPUTE"}},
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{"name": "thread_name", "ph": "M", "pid": dev_to_pid(ev.device)['pid'], "tid": 1, "args": {"name": "COPY"}}]
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def range_ev_to_perfetto_json(ev:ProfileRangeEvent):
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return [{"name": ev.name, "ph": "X", "ts": prep_ts(ev.device, ev.st, ev.is_copy), "dur": float(ev.en-ev.st), **dev_to_pid(ev.device, ev.is_copy)}]
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def graph_ev_to_perfetto_json(ev:ProfileGraphEvent, reccnt):
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ret = []
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for i,e in enumerate(ev.ents):
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st, en = ev.sigs[e.st_id], ev.sigs[e.en_id]
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ret += [{"name": e.name, "ph": "X", "ts": prep_ts(e.device, st, e.is_copy), "dur": float(en-st), **dev_to_pid(e.device, e.is_copy)}]
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for dep in ev.deps[i]:
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d = ev.ents[dep]
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ret += [{"ph": "s", **dev_to_pid(d.device, d.is_copy), "id": reccnt+len(ret), "ts": prep_ts(d.device, ev.sigs[d.en_id], d.is_copy), "bp": "e"}]
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ret += [{"ph": "f", **dev_to_pid(e.device, e.is_copy), "id": reccnt+len(ret)-1, "ts": prep_ts(e.device, st, e.is_copy), "bp": "e"}]
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return ret
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def to_perfetto(profile:list[ProfileEvent]):
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# Start json with devices.
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prof_json = [x for ev in profile if isinstance(ev, ProfileDeviceEvent) for x in dev_ev_to_perfetto_json(ev)]
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for ev in tqdm(profile, desc="preparing profile"):
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if isinstance(ev, ProfileRangeEvent): prof_json += range_ev_to_perfetto_json(ev)
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elif isinstance(ev, ProfileGraphEvent): prof_json += graph_ev_to_perfetto_json(ev, reccnt=len(prof_json))
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return {"traceEvents": prof_json}
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if __name__ == "__main__":
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fp = sys.argv[1]
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with open(fp, "rb") as f: profile = pickle.load(f)
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ret = to_perfetto(profile)
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with open(fp:=temp("perfetto.json", append_user=True), "w") as f: json.dump(ret, f)
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print(f"Saved perfetto output to {fp}. You can use upload this to the perfetto UI or Chrome devtools.")
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