forked from tinygrad/tinygrad
remove old sqtt stuff from viz (#17880)
* rm old server stuff * frontend cleanups
This commit is contained in:
+35
-84
@@ -1,13 +1,11 @@
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#!/usr/bin/env python3
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import ctypes, pathlib, argparse, pickle, dataclasses, threading, itertools
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from decimal import Decimal
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from typing import Generator
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from typing import Any, Generator
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from tinygrad.helpers import temp, unwrap, DEBUG
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from tinygrad.runtime.ops_amd import ProfileSQTTEvent
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from tinygrad.runtime.autogen import rocprof
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from tinygrad.renderer.amd.dsl import Inst
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from tinygrad.helpers import ProfileEvent, ProfileRangeEvent, ProfilePointEvent
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from tinygrad.device import ProfileProgramEvent
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from tinygrad.device import ProfileDeviceEvent, ProfileProgramEvent
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from test.amd.disasm import disasm
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@dataclasses.dataclass(frozen=True)
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@@ -39,17 +37,17 @@ class WaveExec(WaveSlot):
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insts_array = (struct*(len(self.insts)//sz)).from_buffer(self.insts)
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for inst in insts_array:
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inst_typ = rocprof.enum_rocprofiler_thread_trace_decoder_inst_category_t.get(inst.category)
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yield InstExec(inst_typ, inst.pc.address, inst.stall, inst.duration, inst.time)
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yield InstExec(inst_typ or "UNKNOWN", inst.pc.address, inst.stall, inst.duration, inst.time)
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@dataclasses.dataclass(frozen=True)
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class OccEvent(WaveSlot):
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time:int
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start:int
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RunKey = tuple[str, int]
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RunKey = tuple[int, int]
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class _ROCParseCtx:
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def __init__(self, sqtt_evs:list[ProfileSQTTEvent], disasms:dict[str, dict[int, Inst]]):
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def __init__(self, sqtt_evs:list[ProfileSQTTEvent], disasms:dict[int, dict[int, Inst]]):
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self.sqtt_evs, self.disasms = iter(sqtt_evs), {k:{k2:(disasm(v2), v2.size()) for k2,v2 in v.items()} for k,v in disasms.items()}
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self.inst_execs:dict[RunKey, list[WaveExec]] = {}
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self.occ_events:dict[RunKey, list[OccEvent]] = {}
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@@ -76,7 +74,7 @@ class _ROCParseCtx:
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self.inst_execs.setdefault(unwrap(self.active_run), []).append(WaveExec(ev.wave_id, ev.cu, ev.simd, unwrap(self.active_se), ev.begin_time,
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ev.end_time, insts_blob))
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def decode(sqtt_evs:list[ProfileSQTTEvent], disasms:dict[str, dict[int, Inst]]) -> _ROCParseCtx:
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def decode(sqtt_evs:list[ProfileSQTTEvent], disasms:dict[int, dict[int, Inst]]) -> _ROCParseCtx:
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ROCParseCtx = _ROCParseCtx(sqtt_evs, disasms)
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@rocprof.rocprof_trace_decoder_se_data_callback_t
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@@ -129,44 +127,7 @@ def decode(sqtt_evs:list[ProfileSQTTEvent], disasms:dict[str, dict[int, Inst]])
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raise exc
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return ROCParseCtx
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def unpack_occ(viz_data, i:int, j:int, key:tuple[str, int], data:list, p:ProfileProgramEvent, target:str) -> dict:
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from tinygrad.viz.serve import amd_decode, create_step, row_tuple
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steps = viz_data.ctxs[i]["steps"]
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if len(steps[j+1:]) > 0: return {"steps":[{k:v for k,v in s.items() if k != "data"} for s in steps[j+1:]]}
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base = unwrap(p.base)
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disasm:dict[int, Inst] = {addr+base:inst for addr,inst in amd_decode(unwrap(p.lib), target).items()}
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rctx = decode(data, {p.tag:disasm})
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cu_events:dict[str, list[ProfileEvent]] = {}
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# ** inst traces
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wave_insts:dict[str, dict[str, dict]] = {}
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inst_units:dict[str, itertools.count] = {}
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for w in rctx.inst_execs.get(key, []):
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if (u:=w.wave_loc) not in inst_units: inst_units[u] = itertools.count(0)
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n = next(inst_units[u])
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if (events:=cu_events.get(w.cu_loc)) is None: cu_events[w.cu_loc] = events = []
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events.append(ProfileRangeEvent(f"SIMD:{w.simd}", loc:=f"INST WAVE:{w.wave_id} N:{n}", Decimal(w.begin_time), Decimal(w.end_time)))
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wave_insts.setdefault(w.cu_loc, {})[f"{u} N:{n}"] = {"wave":w, "disasm":disasm, "prg":p, "run_number":n, "loc":loc}
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# ** occ traces (only WAVESTART/WAVEEND)
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units:dict[str, itertools.count] = {}
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wave_start:dict[str, int] = {}
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for occ in rctx.occ_events.get(key, []):
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if (u:=occ.wave_loc) not in units: units[u] = itertools.count(0)
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if u in inst_units: continue
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if occ.start: wave_start[u] = occ.time
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else:
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if (events:=cu_events.get(occ.cu_loc)) is None: cu_events[occ.cu_loc] = events = []
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events.append(ProfileRangeEvent(f"SIMD:{occ.simd}", f"OCC WAVE:{occ.wave_id} N:{next(units[u])}", Decimal(wave_start.pop(u)),Decimal(occ.time)))
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# ** split graph by CU
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for cu in sorted(cu_events, key=row_tuple):
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steps.append(create_step(f"{cu} {len(cu_events[cu])}", ("/cu-sqtt", i, len(steps)), depth=1,
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data=[ProfilePointEvent(unit, "start", unit, ts=Decimal(0)) for unit in units]+cu_events[cu]))
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for k in sorted(wave_insts.get(cu, []), key=row_tuple):
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wd = wave_insts[cu][k]
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steps.append(create_step(k.replace(cu, ""), ("/amd-sqtt-insts", i, len(steps)), loc=wd["loc"], depth=2,
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data={"fxn":unpack_insts, "args":(wd,)}))
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return {"steps":[{k:v for k,v in s.items() if k != "data"} for s in steps[j+1:]]}
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def unpack_insts(viz_data, i:int, j:int, data:dict) -> dict:
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def unpack_insts(w:WaveExec, pc_to_inst:dict[int, Inst]) -> dict:
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columns = ["PC", "Instruction", "Hits", "Cycles", "Stall", "Type"]
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inst_columns = ["N", "Clk", "Idle", "Dur", "Stall"]
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# Idle: The total time gap between the completion of previous instruction and the beginning of the current instruction.
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@@ -176,36 +137,24 @@ def unpack_insts(viz_data, i:int, j:int, data:dict) -> dict:
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# * Instruction cache miss
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# Stall: The total number of cycles the hardware pipe couldn't issue an instruction.
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# Duration: Total latency in cycles, defined as "Stall time + Issue time" for gfx9 or "Stall time + Execute time" for gfx10+.
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prev_instr = (w:=data["wave"]).begin_time
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pc_to_inst = data["disasm"]
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prev_instr = w.begin_time
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start_pc = None
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rows:dict[int, dict] = {}
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rows:dict[int, dict[str, Any]] = {}
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for pc, inst in pc_to_inst.items():
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if start_pc is None: start_pc = pc
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rows[pc] = {"pc":pc-start_pc, "inst":str(inst), "hit_count":0, "dur":0, "stall":0, "type":"", "hits":{"cols":inst_columns, "rows":[]}}
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for e in w.unpack_insts():
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if not (inst:=rows[e.pc]).get("type"): inst["type"] = str(e.typ).split("_")[-1]
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inst["hit_count"] += 1
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inst["dur"] += e.dur
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inst["stall"] += e.stall
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inst["hits"]["rows"].append((inst["hit_count"]-1, e.time, max(0, e.time-prev_instr), e.dur, e.stall))
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if not (row:=rows[e.pc]).get("type"): row["type"] = str(e.typ).split("_")[-1]
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row["hit_count"] += 1
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row["dur"] += e.dur
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row["stall"] += e.stall
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row["hits"]["rows"].append((row["hit_count"]-1, e.time, max(0, e.time-prev_instr), e.dur, e.stall))
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prev_instr = max(prev_instr, e.time + e.dur)
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summary = [{"label":"Total Cycles", "value":w.end_time-w.begin_time}, {"label":"SE", "value":w.se}, {"label":"CU", "value":w.cu},
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{"label":"SIMD", "value":w.simd}, {"label":"Wave ID", "value":w.wave_id}, {"label":"Run number", "value":data["run_number"]}]
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return {"rows":[tuple(v.values()) for v in rows.values()], "cols":columns, "metadata":[summary],"ref":viz_data.ref_map.get(data["prg"].profile_key)}
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def print_data(data:dict) -> None:
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from tabulate import tabulate
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# plaintext
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if "src" in data: print(data["src"])
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# table format
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elif "cols" in data:
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print(tabulate([r[:len(data["cols"])] for r in data["rows"]], headers=data["cols"], tablefmt="github"))
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return {"rows":[tuple(v.values()) for v in rows.values()], "cols":columns}
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def main() -> None:
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import tinygrad.viz.serve as viz
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from tinygrad.uop.ops import RewriteTrace
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data = viz.VizData()
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from tabulate import tabulate
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from tinygrad.viz.serve import amd_decode
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parser = argparse.ArgumentParser()
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parser.add_argument('--profile', type=pathlib.Path, metavar="PATH", help='Path to profile (optional file, default: latest profile)',
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@@ -216,26 +165,28 @@ def main() -> None:
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with args.profile.open("rb") as f: profile = pickle.load(f)
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viz.get_profile(profile, data=data)
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# List all kernels
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if args.kernel is None:
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for c in data.ctxs:
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print(c["name"])
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for s in c["steps"]: print(" "+s["name"])
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for p in profile:
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if isinstance(p, ProfileProgramEvent) and p.device.startswith("AMD"): print(p.name)
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return None
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# Find kernel trace
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trace = next((c for c in data.ctxs if c["name"] == f"SQTT {args.kernel}"), None)
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if not trace: raise RuntimeError(f"no matching trace for {args.kernel}")
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n = 0
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for s in trace["steps"]:
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if "PKTS" in s["name"]: continue
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print(s["name"])
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ret = viz.get_render(data, s["query"])
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print_data(ret)
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n += 1
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if n > args.n: break
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prg = next((p for p in profile if isinstance(p, ProfileProgramEvent) and p.name == args.kernel), None)
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dev = next((p for p in profile if isinstance(p, ProfileDeviceEvent) and p.device == prg.device), None)
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assert prg is not None and dev is not None, "must have program binary and device props"
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target = f"gfx{dev.props['gfx_target_version']//1000}"
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sqtt = [p for p in profile if isinstance(p, ProfileSQTTEvent) and p.kern == prg.tag]
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pc_to_inst = {addr+prg.base:inst for addr,inst in amd_decode(prg.lib, target).items()}
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rctx = decode(sqtt, {prg.tag:pc_to_inst})
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waves = sorted(itertools.chain.from_iterable(rctx.inst_execs.values()), key=lambda w:(w.se, w.cu, w.simd, w.wave_id, w.begin_time))
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if not waves: raise RuntimeError(f"no instruction traces for {args.kernel}")
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run_numbers:dict[str, itertools.count] = {}
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for w in itertools.islice(waves, args.n):
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if w.wave_loc not in run_numbers: run_numbers[w.wave_loc] = itertools.count()
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print(f"{w.wave_loc} N:{next(run_numbers[w.wave_loc])} Total Cycles:{w.end_time-w.begin_time}")
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table = unpack_insts(w, pc_to_inst)
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print(tabulate([r[:len(table["cols"])] for r in table["rows"]], headers=table["cols"], tablefmt="github"))
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if __name__ == "__main__":
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main()
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@@ -230,7 +230,7 @@ const waveColor = (op) => {
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};
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const colorScheme = {TINY:new Map([["Schedule","#1b5745"],["precompile","#1d2e62"],["compile","#63b0cd"],["DEFAULT","#354f52"]]),
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DEFAULT:["#2b2e39", "#2c2f3a", "#31343f", "#323544", "#2d303a", "#2e313c", "#343746", "#353847", "#3c4050", "#404459", "#444862", "#4a4e65"],
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BUFFER:["#342483", "#3E2E94", "#4938A4", "#5442B4", "#5E4CC2", "#674FCA"], SIMD:new Map([["OCC", "#101725"], ["INST", "#0A2042"]]),
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BUFFER:["#342483", "#3E2E94", "#4938A4", "#5442B4", "#5E4CC2", "#674FCA"],
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GPC:new Map([["NONE","#1a7a2e"],["MEMORY_DEPENDENCY","#8b1a00"],["EXEC_DEPENDENCY","#006b6b"],["INST_FETCH","#7a7a00"],["SYNC","#6b006b"],
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["PIPE_BUSY","#7a4a00"],["MEMORY_THROTTLE","#5c0000"],["CONSTANT_MEMORY","#1a3d7a"],["NOT_SELECTED","#2e2e3a"],["OTHER","#4a4a55"],
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["SLEEPING","#1a1a2a"],["DEFAULT","#3a3a45"]]), WAVE:waveColor, VMEMEXEC:waveColor, ALUEXEC:waveColor}
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@@ -999,15 +999,6 @@ async function main() {
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}
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if (!ckey.startsWith("/graph")) {
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if (!(ckey in cache)) cache[ckey] = ret = await fetchValue(ckey);
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if (ret.steps?.length > 0) {
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const el = select(state.currentCtx, state.currentStep);
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if (el.step.querySelectorAll("ul").length === ret.steps.length) return;
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// re render the list with new items
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ctx.steps.push(...ret.steps);
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while (el.ctx.children.length > 1) el.ctx.children[1].remove();
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appendSteps(el.ctx, state.currentCtx, ctx.steps);
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return setState({ currentStep:state.currentStep+1, expandSteps:true });
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}
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// timeline with cycles on the x axis
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if (ret instanceof ArrayBuffer) {
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const pkts = step.query.includes("sqtt");
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@@ -1050,10 +1041,6 @@ async function main() {
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}
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return table;
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}
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if (ret.ref != null) {
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const disasmIdx = ctxs[ret.ref+1].steps.findIndex(s => s.name === "View Disassembly")
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metadata.appendChild(d3.create("a").text("View Disassembly").on("click", () => switchCtx(ret.ref, disasmIdx)).node());
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}
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if (ret.cols != null) renderTable(root, ret);
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else if (ret.src != null) root.append(() => codeBlock(ret.src, ret.lang));
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return document.querySelector("#custom").replaceChildren(root.node());
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@@ -359,11 +359,6 @@ def load_amd_counters(data:VizData, profile:list) -> None:
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if (sqtt:=v.get("ProfileSQTTEvent")):
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for e in sqtt:
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if e.itrace: steps.append(create_step(f"SE:{e.se} PKTS", (f"/sqtt-{e.se}",len(data.ctxs),len(steps)), data=(e.blob,prg_events[k].lib,arch)))
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try:
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with Context(DEBUG=0): from extra.sqtt.roc import unpack_occ
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steps.append(create_step("OCC", ("/amd-sqtt-occ", len(data.ctxs), len(steps)),
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data={"fxn":unpack_occ, "args":((k, tag), sqtt, prg_events[k], arch)}))
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except Exception: pass
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data.ctxs.append({"name":f"SQTT {name}"+(f" n{run_number[k]}" if run_number[k] > 1 else ""), "steps":steps})
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wave_colors = {"WMMA": "#1F7857", **{x:"#ffffc0" for x in ["VALU", "VINTERP"]}, "SALU": "#cef263", "SMEM": "#ffc0c0", "STORE": "#4fa3cc",
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@@ -650,9 +645,6 @@ def get_render(viz_data:VizData, query:str, **kwargs) -> dict:
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ret = {"value":events, "content_type":"application/octet-stream"}
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else: ret = {"src":"No SQTT trace on this SE."}
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return ret
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# viewers for the amd decoder in extra
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if fmt.startswith("amd-sqtt"): return data["fxn"](viz_data, i, j, *data["args"])
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if fmt == "cu-sqtt": return {"value":get_profile(viz_data, data, sort_fn=row_tuple), "content_type":"application/octet-stream"}
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if fmt == "prg-pma-pkts":
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ret = {}
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with soft_err(lambda err:ret.update(err)):
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