forked from tinygrad/tinygrad
viz memory: compute nbytes (#11795)
* viz memory: compute nbytes * local map
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+1
-1
@@ -139,7 +139,7 @@ class Buffer:
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if PROFILE:
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self._prof_num = num = len(Buffer.profile_events)
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ts = decimal.Decimal(time.perf_counter_ns())/1000
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Buffer.profile_events.append(ProfilePointEvent(self.device, "alloc", ts, num, {"dtype":str(self.dtype),"sz":self.size,"nbytes":self.nbytes}))
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Buffer.profile_events.append(ProfilePointEvent(self.device, "alloc", ts, num, {"dtype":self.dtype, "sz":self.size}))
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return self
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def deallocate(self):
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assert hasattr(self, '_buf'), "buffer must be allocated to deallocate"
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@@ -151,7 +151,7 @@ async function renderProfiler() {
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// layout once!
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if (data != null) return;
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const profiler = d3.select(".profiler").html("");
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const { layout, dur, peak } = await (await fetch("/get_profile")).json();
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const { layout, dur, peak, dtypes } = await (await fetch("/get_profile")).json();
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// place devices on the y axis and set vertical positions
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const [tickSize, padding] = [10, 8];
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const deviceList = profiler.append("div").attr("id", "device-list").style("padding-top", tickSize+padding+"px");
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@@ -196,8 +196,9 @@ async function renderProfiler() {
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const shapes = [];
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for (const [i,e] of v.shapes.entries()) {
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const x = e.x.map(tsIdx => v.timestamps[tsIdx]);
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const arg = {tooltipText:`${e.arg.dtype} len:${formatUnit(e.arg.sz)}\n${formatUnit(e.arg.nbytes, "B")}`};
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shapes.push({ x, y0:e.y.map(yscale), y1:e.y.map(y => yscale(y+e.arg.nbytes)), arg, fillColor:cycleColors(colorScheme.BUFFER, i) });
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const nbytes = dtypes[e.arg.dtype]*e.arg.sz;
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const arg = {tooltipText:`${e.arg.dtype} len:${formatUnit(e.arg.sz)}\n${formatUnit(nbytes, "B")}`};
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shapes.push({ x, y0:e.y.map(yscale), y1:e.y.map(y => yscale(y+nbytes)), arg, fillColor:cycleColors(colorScheme.BUFFER, i) });
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}
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data.tracks.set(k, { shapes, offsetY, height, peak:v.peak, scaleFactor:maxheight*4/height });
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div.style("height", height+padding+"px").style("cursor", "pointer").on("click", (e) => {
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@@ -146,7 +146,7 @@ def timeline_layout(events:list[tuple[int, int, float, DevEvent]], start_ts:int)
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shapes.append({"name":name, "ref":ref, "st":st-start_ts, "dur":dur, "depth":depth, "cat":cat, "info":info})
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return {"shapes":shapes, "maxDepth":len(levels)}
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def mem_layout(events:list[tuple[int, int, float, DevEvent]], start_ts:int, end_ts:int, peaks:list[int]) -> dict:
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def mem_layout(events:list[tuple[int, int, float, DevEvent]], start_ts:int, end_ts:int, peaks:list[int], dtypes_map:dict[str, int]) -> dict:
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step, peak, mem = 0, 0, 0
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shps:dict[int, dict] = {}
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temp:dict[int, dict] = {}
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@@ -154,21 +154,22 @@ def mem_layout(events:list[tuple[int, int, float, DevEvent]], start_ts:int, end_
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for st,_,_,e in events:
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if not isinstance(e, ProfilePointEvent): continue
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if e.name == "alloc":
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shps[e.key] = temp[e.key] = {"x":[step], "y":[mem], "arg":e.arg}
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shps[e.key] = temp[e.key] = {"x":[step], "y":[mem], "arg":{"dtype":e.arg["dtype"].name, "sz":e.arg["sz"]}}
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dtypes_map.setdefault(e.arg["dtype"].name, e.arg["dtype"].itemsize)
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timestamps.append(int(e.ts)-start_ts)
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step += 1
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mem += e.arg["nbytes"]
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mem += e.arg["sz"]*e.arg["dtype"].itemsize
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if mem > peak: peak = mem
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if e.name == "free":
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timestamps.append(int(e.ts)-start_ts)
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step += 1
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mem -= (removed:=temp.pop(e.key))["arg"]["nbytes"]
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mem -= (free_nbytes:=(removed:=temp.pop(e.key))["arg"]["sz"]*dtypes_map[removed["arg"]["dtype"]])
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removed["x"].append(step)
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removed["y"].append(removed["y"][-1])
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for k,v in temp.items():
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if k > e.key:
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v["x"] += [step, step]
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v["y"] += [v["y"][-1], v["y"][-1]-removed["arg"]["nbytes"]]
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v["y"] += [v["y"][-1], v["y"][-1]-free_nbytes]
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for v in temp.values():
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v["x"].append(step)
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v["y"].append(v["y"][-1])
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@@ -192,11 +193,12 @@ def get_profile(profile:list[ProfileEvent]) -> bytes|None:
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# return layout of per device events
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layout:dict[str, dict] = {}
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peaks:list[int] = []
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dtypes_map:dict[str, int] = {}
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for k,v in dev_events.items():
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v.sort(key=lambda e:e[0])
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layout[k] = timeline_layout(v, start_ts)
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layout[f"{k} Memory"] = mem_layout(v, start_ts, unwrap(end_ts), peaks)
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return json.dumps({"layout":layout, "dur":unwrap(end_ts)-start_ts, "peak":max(peaks, default=0)}).encode("utf-8")
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layout[f"{k} Memory"] = mem_layout(v, start_ts, unwrap(end_ts), peaks, dtypes_map)
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return json.dumps({"layout":layout, "dur":unwrap(end_ts)-start_ts, "peak":max(peaks, default=0), "dtypes":dtypes_map}).encode("utf-8")
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def get_runtime_stats(key) -> list[dict]:
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ret:list[dict] = []
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