Pass TP4 decode stability gate

This commit is contained in:
2026-07-23 17:09:49 +08:00
parent c1c200b7cd
commit 1126d9be7d
8 changed files with 1002 additions and 2 deletions

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@@ -0,0 +1,91 @@
#!/usr/bin/env python3
"""Aggregate fresh-process decode profiles and enforce the repeat gate."""
from __future__ import annotations
import argparse
import json
import statistics
from pathlib import Path
COMPONENT_NAMES = (
"attention",
"linear_norm_rope",
"router",
"moe",
"collective",
"output_head",
"other",
)
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument("--results-dir", type=Path, required=True)
parser.add_argument("--output", type=Path, required=True)
return parser.parse_args()
def main() -> None:
args = parse_args()
cells = []
all_stable = True
for tp in (2, 4):
for batch in (2, 4, 6, 8):
repeats = []
for repeat in (1, 2):
path = args.results_dir / f"tp{tp}-b{batch}-r{repeat}.json"
payload = json.loads(path.read_text())
repeats.append(
{
"repeat": repeat,
"source": str(path),
"execute_mean_ms": payload["rank_summary"][
"slowest_rank_execute_mean_ms"
],
"component_rank_mean_ms": payload["rank_summary"][
"component_rank_mean_ms"
],
}
)
values = [row["execute_mean_ms"] for row in repeats]
mean = statistics.fmean(values)
cv_pct = statistics.pstdev(values) / mean * 100.0
stable = cv_pct <= 10.0
all_stable = all_stable and stable
cells.append(
{
"tp": tp,
"batch": batch,
"repeats": repeats,
"median_execute_ms": statistics.median(values),
"repeat_cv_pct": cv_pct,
"stable": stable,
"median_component_ms": {
name: statistics.median(
row["component_rank_mean_ms"][name] for row in repeats
)
for name in COMPONENT_NAMES
},
}
)
payload = {
"schema": "frontier-decode-batch-grid.v1",
"contract": {
"workload": "Qwen3-30B-A3B BF16, 2048->128, graph-on, MNS=16",
"timing": "slowest-rank execute mean over 16 pure-decode steps",
"repeat_aggregation": "median of two fresh engine processes",
"stability_gate": "population CV <= 10%; add repeat 3 otherwise",
},
"all_cells_stable": all_stable,
"cells": cells,
}
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n")
if not all_stable:
raise SystemExit("one or more cells failed the repeat stability gate")
if __name__ == "__main__":
main()

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@@ -1,6 +1,6 @@
# 实验 EXP-DECODE-BATCH-GRIDBC-8 是否可由稳定 whole-layer b2--b8 curve 修复
> **状态:** entry gate PASS待 TP4/b2 GPU smoke
> **状态:** TP4/b2 stability gate PASS扩展 full grid
>
> Parent campaign[`../frontier-simulator-gap-campaign-v0/README.md`](../frontier-simulator-gap-campaign-v0/README.md)
@@ -64,5 +64,10 @@
- **Entry gate** PASS。TP4 1h trace TPOT mean 正偏
`+10.6%--+23.0%`E2E mean `+9.8%--+19.2%`BC-8 完整排序仍错。
- **观察事实:** 待 GPU。
- **TP4/b2 smoke** 两个 fresh-process critical-rank execute mean 分别为
`4.6263 ms``4.6201 ms`,跨 repeat CV=`0.067%`,稳定性 gate
PASS无需 repeat 3。median=`4.6232 ms`,比旧样本 `5.044 ms`
`0.421 ms`;方向支持 H1但未达到事前 `>=0.5 ms` 的强证据阈值。
- **观察事实:** 旧 TP4/b2 的高方差主要是测量不稳定;是否足以修复
BC-8 仍须 full b2--b8 curve 与 trace replay。
- **Decision** 待 GPU。

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version = 1
[[jobs]]
name = "decode-grid-tp2-b2-r1-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash1"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b2-r1"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "2"
SERVER_PORT = "9841"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b2-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp2-b4-r1-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash2"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b4-r1"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "4"
SERVER_PORT = "9842"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b4-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp4-b4-r1-20260723"
gpus = 4
gpu_model = "H20"
hosts = ["dash3"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b4-r1"]
[jobs.env]
TP = "4"
PROFILE_BATCH = "4"
SERVER_PORT = "9843"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b4-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp4-b6-r1-20260723"
gpus = 4
gpu_model = "H20"
hosts = ["dash4"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b6-r1"]
[jobs.env]
TP = "4"
PROFILE_BATCH = "6"
SERVER_PORT = "9844"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b6-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"

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@@ -0,0 +1,46 @@
version = 1
[[jobs]]
name = "decode-grid-tp2-b6-r1-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash1"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b6-r1"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "6"
SERVER_PORT = "9845"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b6-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp2-b8-r1-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash2"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b8-r1"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "8"
SERVER_PORT = "9846"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b8-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp4-b8-r1-20260723"
gpus = 4
gpu_model = "H20"
hosts = ["dash3"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b8-r1"]
[jobs.env]
TP = "4"
PROFILE_BATCH = "8"
SERVER_PORT = "9847"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b8-r1"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"

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@@ -0,0 +1,61 @@
version = 1
[[jobs]]
name = "decode-grid-tp2-b2-r2-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash1"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b2-r2"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "2"
SERVER_PORT = "9841"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b2-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp2-b4-r2-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash2"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b4-r2"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "4"
SERVER_PORT = "9842"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b4-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp4-b4-r2-20260723"
gpus = 4
gpu_model = "H20"
hosts = ["dash3"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b4-r2"]
[jobs.env]
TP = "4"
PROFILE_BATCH = "4"
SERVER_PORT = "9843"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b4-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp4-b6-r2-20260723"
gpus = 4
gpu_model = "H20"
hosts = ["dash4"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b6-r2"]
[jobs.env]
TP = "4"
PROFILE_BATCH = "6"
SERVER_PORT = "9844"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b6-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"

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@@ -0,0 +1,46 @@
version = 1
[[jobs]]
name = "decode-grid-tp2-b6-r2-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash1"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b6-r2"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "6"
SERVER_PORT = "9845"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b6-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp2-b8-r2-20260723"
gpus = 2
gpu_model = "H20"
hosts = ["dash2"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b8-r2"]
[jobs.env]
TP = "2"
PROFILE_BATCH = "8"
SERVER_PORT = "9846"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp2-b8-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"
[[jobs]]
name = "decode-grid-tp4-b8-r2-20260723"
gpus = 4
gpu_model = "H20"
hosts = ["dash3"]
command = "timeout --signal=TERM --kill-after=60s 1800 bash runs/frontier-decode-batch-grid-v0/run_decode_profile.sh"
artifacts = ["runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b8-r2"]
[jobs.env]
TP = "4"
PROFILE_BATCH = "8"
SERVER_PORT = "9847"
OUTPUT_ROOT = "runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b8-r2"
FLASHINFER_WORKSPACE_BASE = "/tmp/frontier-component-flashinfer-v4"

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@@ -0,0 +1,345 @@
{
"contract": {
"component_time": "sum of CUDA kernel durations inside execute range",
"timing": "CUDA graph-on GPU execute annotations",
"tp_aggregation": "per-rank; slowest rank mean approximates critical path"
},
"label": "tp4-b2-r1",
"rank_summary": {
"component_rank_mean_ms": {
"attention": 0.72195021875,
"collective": 0.553751203125,
"linear_norm_rope": 0.8375226249999999,
"moe": 1.7999987343749986,
"other": 0.020717078125,
"output_head": 0.0456011875,
"router": 0.18689503124999995
},
"ranks": 4,
"slowest_rank_execute_mean_ms": 4.6262738125,
"slowest_rank_kernel_busy_mean_ms": 4.1718804999999985
},
"ranks": [
{
"components": {
"attention": {
"mean_ms": 0.721057875,
"n": 16,
"p50_ms": 0.711759,
"p95_ms": 0.7497570000000005,
"population_std_ms": 0.014212609814329528
},
"collective": {
"mean_ms": 0.50711625,
"n": 16,
"p50_ms": 0.5068694999999999,
"p95_ms": 0.513504,
"population_std_ms": 0.004382496085280639
},
"linear_norm_rope": {
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"n": 16,
"p50_ms": 0.8344809999999998,
"p95_ms": 0.838978,
"population_std_ms": 0.001855606192014971
},
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"n": 16,
"p50_ms": 1.8067699999999989,
"p95_ms": 1.9758739999999988,
"population_std_ms": 0.09932662894681066
},
"other": {
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"n": 16,
"p50_ms": 0.0206075,
"p95_ms": 0.02112,
"population_std_ms": 0.00022492384127744221
},
"output_head": {
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"p95_ms": 0.046176,
"population_std_ms": 0.0003880140491576959
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"p50_ms": 0.18694599999999995,
"p95_ms": 0.18726899999999994,
"population_std_ms": 0.00018246506514945761
}
},
"execute_annotation_histogram": {
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},
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"p95_ms": 4.776305000000001,
"population_std_ms": 0.11774099993349754
},
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"p50_ms": 4.111105499999998,
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"population_std_ms": 0.11827515014357118
},
"non_kernel_gap": {
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"n": 16,
"p50_ms": 0.4516910000000025,
"p95_ms": 0.4587190000000012,
"population_std_ms": 0.003134758388192225
},
"selected_execute_annotation": "execute_context_0(0)_generation_2(2)",
"steps": 16,
"trace": "runs/frontier-decode-batch-grid-v0/fleet-artifacts/decode-batch-tp4-b2-r1-20260723-20260723T085748513290Z/artifacts/runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b2-r1/traces/profile/dp0_pp0_tp0_dcp0_ep0_rank0.1784797289133609908.pt.trace.json.gz"
},
{
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"population_std_ms": 0.01670948629135843
},
"collective": {
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"p50_ms": 0.5025615000000001,
"p95_ms": 0.5099899999999999,
"population_std_ms": 0.003726454090666345
},
"linear_norm_rope": {
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"n": 16,
"p50_ms": 0.8374080000000004,
"p95_ms": 0.8426070000000001,
"population_std_ms": 0.0022757014818238397
},
"moe": {
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"n": 16,
"p50_ms": 1.8066204999999975,
"p95_ms": 1.980685999999996,
"population_std_ms": 0.0992721840478037
},
"other": {
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"p50_ms": 0.020768000000000002,
"p95_ms": 0.021249000000000004,
"population_std_ms": 0.00024472216389203553
},
"output_head": {
"mean_ms": 0.0455743125,
"n": 16,
"p50_ms": 0.045568,
"p95_ms": 0.046335999999999995,
"population_std_ms": 0.00038872157753815117
},
"router": {
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"n": 16,
"p50_ms": 0.18708599999999992,
"p95_ms": 0.18729799999999988,
"population_std_ms": 0.0002492310674855524
}
},
"execute_annotation_histogram": {
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"population_std_ms": 0.11785700086167718
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"population_std_ms": 0.11872818612749433
},
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},
{
"components": {
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"population_std_ms": 0.014826216615208781
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"p95_ms": 0.7296940000000001,
"population_std_ms": 0.019150322023136917
},
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"population_std_ms": 0.0015175569786975635
},
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"p95_ms": 1.749915000000001,
"population_std_ms": 0.08420929796569343
},
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"population_std_ms": 0.0003990141317594523
},
"output_head": {
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"n": 16,
"p50_ms": 0.04584,
"p95_ms": 0.046816,
"population_std_ms": 0.0005658698468674145
},
"router": {
"mean_ms": 0.18694024999999992,
"n": 16,
"p50_ms": 0.18695999999999993,
"p95_ms": 0.18755099999999994,
"population_std_ms": 0.00021861224233788088
}
},
"execute_annotation_histogram": {
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},
"execute_wall": {
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"population_std_ms": 0.11869307020905795
},
"gpu_kernel_busy": {
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"n": 16,
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"population_std_ms": 0.11747190161545976
},
"non_kernel_gap": {
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"population_std_ms": 0.0027272721719696818
},
"selected_execute_annotation": "execute_context_0(0)_generation_2(2)",
"steps": 16,
"trace": "runs/frontier-decode-batch-grid-v0/fleet-artifacts/decode-batch-tp4-b2-r1-20260723-20260723T085748513290Z/artifacts/runs/frontier-decode-batch-grid-v0/remote-outputs/tp4-b2-r1/traces/profile/dp0_pp0_tp2_dcp0_ep2_rank2.1784797289123687444.pt.trace.json.gz"
},
{
"components": {
"attention": {
"mean_ms": 0.720770875,
"n": 16,
"p50_ms": 0.7128364999999999,
"p95_ms": 0.7470090000000001,
"population_std_ms": 0.01543277700170565
},
"collective": {
"mean_ms": 0.5073495625,
"n": 16,
"p50_ms": 0.5075825,
"p95_ms": 0.514207,
"population_std_ms": 0.004872701393589966
},
"linear_norm_rope": {
"mean_ms": 0.8371107499999998,
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View File

@@ -0,0 +1,345 @@
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