Record TP2 prefill serving-path verdict
This commit is contained in:
@@ -1,3 +1,4 @@
|
|||||||
fleet-artifacts/
|
fleet-artifacts/
|
||||||
fleet-state/
|
fleet-state/
|
||||||
|
replay/
|
||||||
remote-outputs/
|
remote-outputs/
|
||||||
|
|||||||
113
runs/frontier-tp2-prefill-serving-v0/analyze_replay_verdict.py
Normal file
113
runs/frontier-tp2-prefill-serving-v0/analyze_replay_verdict.py
Normal file
@@ -0,0 +1,113 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""Compare the measured-prefill-MoE TP2 replays with structured baseline."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import importlib.util
|
||||||
|
import json
|
||||||
|
import sys
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
ROOT = Path(__file__).resolve().parent
|
||||||
|
REPO = ROOT.parents[1]
|
||||||
|
ATTN = REPO / "runs/frontier-attn-structured-v0"
|
||||||
|
S3_REAL = REPO / "runs/frontier-s3-real-v0"
|
||||||
|
CELLS = {
|
||||||
|
"tp2_rho0p0025": "frontier-s3-real-full-r0p0025-tp2-t*",
|
||||||
|
"tp2_rho0p005": "frontier-s3-real-full-r0p005-tp2-t*",
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
def load_analysis_module():
|
||||||
|
path = ATTN / "analyze_trace_verdict.py"
|
||||||
|
spec = importlib.util.spec_from_file_location("attention_verdict", path)
|
||||||
|
module = importlib.util.module_from_spec(spec)
|
||||||
|
sys.path.insert(0, str(ATTN))
|
||||||
|
spec.loader.exec_module(module)
|
||||||
|
return module
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> None:
|
||||||
|
analysis = load_analysis_module()
|
||||||
|
cells = {}
|
||||||
|
for label, pattern in CELLS.items():
|
||||||
|
real_trials = analysis.load_real_trials(pattern)
|
||||||
|
structured = analysis.load_sim(ATTN / "replay" / label)
|
||||||
|
moe_corrected = analysis.load_sim(ROOT / "replay" / label)
|
||||||
|
structured_biases = [
|
||||||
|
analysis.distribution_bias(trial, structured)
|
||||||
|
for trial in real_trials
|
||||||
|
]
|
||||||
|
corrected_biases = [
|
||||||
|
analysis.distribution_bias(trial, moe_corrected)
|
||||||
|
for trial in real_trials
|
||||||
|
]
|
||||||
|
cells[label] = {
|
||||||
|
"structured_attention": {
|
||||||
|
"trialwise_distribution_bias": structured_biases,
|
||||||
|
"trialwise_distribution_bias_summary": (
|
||||||
|
analysis.aggregate_trial_bias(structured_biases)
|
||||||
|
),
|
||||||
|
"legacy_pooled_distribution_bias": (
|
||||||
|
analysis.legacy_pooled_bias(real_trials, structured)
|
||||||
|
),
|
||||||
|
"waiting_p99_ms": analysis.waiting_p99(structured),
|
||||||
|
},
|
||||||
|
"structured_attention_plus_prefill_moe": {
|
||||||
|
"trialwise_distribution_bias": corrected_biases,
|
||||||
|
"trialwise_distribution_bias_summary": (
|
||||||
|
analysis.aggregate_trial_bias(corrected_biases)
|
||||||
|
),
|
||||||
|
"legacy_pooled_distribution_bias": (
|
||||||
|
analysis.legacy_pooled_bias(real_trials, moe_corrected)
|
||||||
|
),
|
||||||
|
"paired_relative_error": [
|
||||||
|
analysis.paired_relative_error(trial, moe_corrected)
|
||||||
|
for trial in real_trials
|
||||||
|
],
|
||||||
|
"waiting_p99_ms": analysis.waiting_p99(moe_corrected),
|
||||||
|
},
|
||||||
|
}
|
||||||
|
|
||||||
|
low = cells["tp2_rho0p0025"]
|
||||||
|
before = low["structured_attention"]["legacy_pooled_distribution_bias"]
|
||||||
|
after = low["structured_attention_plus_prefill_moe"][
|
||||||
|
"legacy_pooled_distribution_bias"
|
||||||
|
]
|
||||||
|
checked = [
|
||||||
|
(metric, quantile)
|
||||||
|
for metric in ("ttft", "e2e")
|
||||||
|
for quantile in ("mean", "p50", "p99")
|
||||||
|
]
|
||||||
|
gates = {
|
||||||
|
"subcritical_waiting_below_1s": (
|
||||||
|
low["structured_attention_plus_prefill_moe"]["waiting_p99_ms"]
|
||||||
|
< 1000
|
||||||
|
),
|
||||||
|
"subcritical_ttft_e2e_abs_bias_not_worse": all(
|
||||||
|
abs(after[metric][quantile])
|
||||||
|
<= abs(before[metric][quantile]) + 0.01
|
||||||
|
for metric, quantile in checked
|
||||||
|
),
|
||||||
|
"subcritical_mean_ttft_abs_bias_improves_3pp": (
|
||||||
|
abs(before["ttft"]["mean"]) - abs(after["ttft"]["mean"])
|
||||||
|
>= 0.03
|
||||||
|
),
|
||||||
|
}
|
||||||
|
payload = {
|
||||||
|
"schema": "frontier-tp2-prefill-serving-replay-verdict.v1",
|
||||||
|
"cells": cells,
|
||||||
|
"gates": gates,
|
||||||
|
"decision": (
|
||||||
|
"keep_tp2_prefill_moe_correction"
|
||||||
|
if all(gates.values())
|
||||||
|
else "reject_global_scale_and_fit_shape_conditioned_curve"
|
||||||
|
),
|
||||||
|
}
|
||||||
|
output = ROOT / "results/replay-verdict.json"
|
||||||
|
output.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n")
|
||||||
|
print(json.dumps({"gates": gates, "decision": payload["decision"]}, indent=2))
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
@@ -0,0 +1,80 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""Combine the frozen simulator entry audit with the serving trace smoke."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import json
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
ROOT = Path(__file__).resolve().parent
|
||||||
|
ENTRY = ROOT / "results/entry-audit.json"
|
||||||
|
SMOKE = ROOT / "results/serving-smoke.json"
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> None:
|
||||||
|
entry = json.loads(ENTRY.read_text())
|
||||||
|
smoke = json.loads(SMOKE.read_text())
|
||||||
|
simulator = entry["cells"]["tp2"]
|
||||||
|
critical = smoke["critical_rank"]
|
||||||
|
|
||||||
|
sim_total = float(simulator["total_ms"])
|
||||||
|
real_total = float(simulator["real_total_ms"])
|
||||||
|
sim_moe = float(simulator["moe_grouped_gemm_ms"])
|
||||||
|
serving_total = float(critical["execute_wall_ms"])
|
||||||
|
serving_moe = float(critical["components_ms"]["moe"])
|
||||||
|
total_residual = real_total - sim_total
|
||||||
|
moe_residual = serving_moe - sim_moe
|
||||||
|
counterfactual_total = sim_total + moe_residual
|
||||||
|
payload = {
|
||||||
|
"schema": "frontier-tp2-prefill-serving-smoke-verdict.v1",
|
||||||
|
"contract": {
|
||||||
|
"simulator_sample": "mean of first nine q8192/ctx0 single-request chunks",
|
||||||
|
"serving_sample": "longest execute window on critical TP rank",
|
||||||
|
"moe_mapping": (
|
||||||
|
"standalone moe_grouped_gemm and serving MoE both include "
|
||||||
|
"expert prepare/finalize plus expert GEMMs"
|
||||||
|
),
|
||||||
|
"real_anchor_ms": real_total,
|
||||||
|
},
|
||||||
|
"measurements_ms": {
|
||||||
|
"simulator_total": sim_total,
|
||||||
|
"serving_execute_wall": serving_total,
|
||||||
|
"real_anchor": real_total,
|
||||||
|
"simulator_moe_grouped_gemm": sim_moe,
|
||||||
|
"serving_moe": serving_moe,
|
||||||
|
"simulator_non_moe": sim_total - sim_moe,
|
||||||
|
"serving_non_moe": serving_total - serving_moe,
|
||||||
|
},
|
||||||
|
"counterfactual": {
|
||||||
|
"total_residual_ms": total_residual,
|
||||||
|
"moe_residual_ms": moe_residual,
|
||||||
|
"moe_residual_fraction": moe_residual / total_residual,
|
||||||
|
"moe_scale": serving_moe / sim_moe,
|
||||||
|
"moe_only_counterfactual_total_ms": counterfactual_total,
|
||||||
|
"moe_only_counterfactual_bias": (
|
||||||
|
counterfactual_total - real_total
|
||||||
|
)
|
||||||
|
/ real_total,
|
||||||
|
},
|
||||||
|
"gates": {
|
||||||
|
"serving_reproduces_anchor_within_5pct": (
|
||||||
|
abs(serving_total - real_total) / real_total <= 0.05
|
||||||
|
),
|
||||||
|
"moe_explains_at_least_70pct": moe_residual / total_residual >= 0.70,
|
||||||
|
"moe_only_counterfactual_within_5pct": (
|
||||||
|
abs(counterfactual_total - real_total) / real_total <= 0.05
|
||||||
|
),
|
||||||
|
},
|
||||||
|
}
|
||||||
|
payload["decision"] = (
|
||||||
|
"inject_tp2_prefill_moe_and_replay"
|
||||||
|
if all(payload["gates"].values())
|
||||||
|
else "stop_moe_injection_and_profile_whole_layer"
|
||||||
|
)
|
||||||
|
output = ROOT / "results/serving-smoke-verdict.json"
|
||||||
|
output.write_text(json.dumps(payload, indent=2, sort_keys=True) + "\n")
|
||||||
|
print(json.dumps(payload, indent=2, sort_keys=True))
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
@@ -1,6 +1,6 @@
|
|||||||
# 实验 EXP-TP2-PREFILL-SERVING：TP2 base-prefill residual 是否来自 serving-path MoE
|
# 实验 EXP-TP2-PREFILL-SERVING：TP2 base-prefill residual 是否来自 serving-path MoE
|
||||||
|
|
||||||
> **状态：** GPU smoke harness 已冻结，待远端执行
|
> **状态：** 完成；机制 PASS，global constant injection FAIL
|
||||||
>
|
>
|
||||||
> Parent campaign：[`../frontier-simulator-gap-campaign-v0/README.md`](../frontier-simulator-gap-campaign-v0/README.md)
|
> Parent campaign：[`../frontier-simulator-gap-campaign-v0/README.md`](../frontier-simulator-gap-campaign-v0/README.md)
|
||||||
|
|
||||||
@@ -84,10 +84,26 @@
|
|||||||
real=`410 ms`，bias=`−13.11%`；TP4=`231.33 vs 231 ms`。TP2
|
real=`410 ms`，bias=`−13.11%`；TP4=`231.33 vs 231 ms`。TP2
|
||||||
component ledger 中 MoE=`171.12 ms`，若单独解释 residual 需增至约
|
component ledger 中 MoE=`171.12 ms`，若单独解释 residual 需增至约
|
||||||
`224.9 ms`（+31.4%）。
|
`224.9 ms`（+31.4%）。
|
||||||
- **观察事实：** 待 GPU。
|
- **观察事实：**
|
||||||
|
- TP2 q8192 profile execute=`408.19 ms`，冻结 real anchor=`410 ms`；
|
||||||
|
两个 TP rank 分别为 `408.19/407.34 ms`。
|
||||||
|
- critical-rank attention=`99.67 ms`，sim attention execution=`100.24 ms`；
|
||||||
|
serving MoE=`214.52 ms`，sim MoE=`171.12 ms`。
|
||||||
|
- MoE delta=`43.41 ms`，解释 total residual 的 `80.75%`；MoE-only
|
||||||
|
counterfactual total=`399.65 ms`（相对 real `−2.52%`）。三个事前 smoke
|
||||||
|
gate 全部 PASS。
|
||||||
|
- 但把 q8k ratio `1.25366×` 用作所有 TP2 prefill shape 的常数 scale
|
||||||
|
后，ρ=0.0025 的 TTFT mean `−4.54%→+5.23%`、p99
|
||||||
|
`−7.67%→+0.89%`，E2E mean `+12.70%→+15.55%`；ρ=0.005 的
|
||||||
|
TTFT mean `−7.08%→+3.13%`，E2E mean `+5.02%→+9.14%`。
|
||||||
- **Fleet preflight（2026-07-23）：** dash1--dash4 均为 8×H20；32 张卡
|
- **Fleet preflight（2026-07-23）：** dash1--dash4 均为 8×H20；32 张卡
|
||||||
`memory.used=0 MiB`、`utilization=0%`，无 compute process。dry-run 选择
|
`memory.used=0 MiB`、`utilization=0%`，无 compute process。dry-run 选择
|
||||||
`dash1:[0,1]`，正式 job 已 pin 到 dash1。
|
`dash1:[0,1]`，正式 job 已 pin 到 dash1。
|
||||||
- **含义：** 待 GPU。
|
- **含义：** TP2 base residual 的主要机制确实是 serving-path MoE，而不是
|
||||||
- **Claim update：** unchanged。
|
attention 或 real-anchor 噪声；但单个 q8k 点不能外推成全 prefill-domain
|
||||||
- **下一步：** probe fleet；运行 TP2 serving-path prefill smoke。
|
constant calibration。
|
||||||
|
- **Claim update：** “TP2 prefill MoE 尚有明显工程可优化 gap”得到支持；
|
||||||
|
“用一个 TP2 常数 scale 即可修复 trace fidelity”被否定。
|
||||||
|
- **下一步：** 将后续工程项收窄为 TP2 token/routing-conditioned serving
|
||||||
|
MoE curve（至少 q2k/q4k/q8k 与真实 routing allocation），不合入当前
|
||||||
|
global scale；campaign 继续实验 3。
|
||||||
|
|||||||
525
runs/frontier-tp2-prefill-serving-v0/frontier-reference.json
Normal file
525
runs/frontier-tp2-prefill-serving-v0/frontier-reference.json
Normal file
@@ -0,0 +1,525 @@
|
|||||||
|
{
|
||||||
|
"cc_cache": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/cc-cache",
|
||||||
|
"cells": {
|
||||||
|
"tp1_mns16": {
|
||||||
|
"argv": [
|
||||||
|
"/usr/bin/python3",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/run_frontier_with_curves.py",
|
||||||
|
"--simulation_mode",
|
||||||
|
"online",
|
||||||
|
"--sys_arch",
|
||||||
|
"co-location",
|
||||||
|
"--cc_backend_config_type",
|
||||||
|
"vidur",
|
||||||
|
"--cluster_config_num_replicas",
|
||||||
|
"1",
|
||||||
|
"--cluster_scheduler_config_type",
|
||||||
|
"sticky_round_robin",
|
||||||
|
"--replica_config_model_name",
|
||||||
|
"qwen3-a3b-30b-moe",
|
||||||
|
"--replica_config_device",
|
||||||
|
"h20",
|
||||||
|
"--replica_config_network_device",
|
||||||
|
"h20_dgx",
|
||||||
|
"--replica_config_attn_tensor_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_attn_data_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_moe_tensor_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_moe_expert_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_num_pipeline_stages",
|
||||||
|
"1",
|
||||||
|
"--replica_scheduler_config_type",
|
||||||
|
"vllm_v1",
|
||||||
|
"--decode_cuda_graph_mode",
|
||||||
|
"piecewise",
|
||||||
|
"--vllm_v1_scheduler_config_batch_size_cap",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_max_tokens_in_batch",
|
||||||
|
"8192",
|
||||||
|
"--vllm_v1_scheduler_config_long_prefill_token_threshold",
|
||||||
|
"0",
|
||||||
|
"--vllm_v1_scheduler_config_block_size",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks_mode",
|
||||||
|
"explicit",
|
||||||
|
"--vllm_v1_scheduler_config_gpu_memory_utilization",
|
||||||
|
"0.92",
|
||||||
|
"--vllm_v1_scheduler_config_non_kv_cache_overhead_bytes",
|
||||||
|
"0",
|
||||||
|
"--request_generator_config_type",
|
||||||
|
"trace_replay",
|
||||||
|
"--trace_request_generator_config_trace_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp1-frontier.csv",
|
||||||
|
"--trace_request_generator_config_max_tokens",
|
||||||
|
"40960",
|
||||||
|
"--metrics_config_output_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/sim/tp1_mns16/metrics",
|
||||||
|
"--metrics_config_run_id",
|
||||||
|
"joint_tp1_mns16",
|
||||||
|
"--metrics_config_write_metrics",
|
||||||
|
"--metrics_config_store_request_metrics",
|
||||||
|
"--metrics_config_store_batch_metrics",
|
||||||
|
"--metrics_config_store_token_completion_metrics",
|
||||||
|
"--metrics_config_store_utilization_metrics",
|
||||||
|
"--no-metrics_config_store_plots",
|
||||||
|
"--no-metrics_config_enable_chrome_trace",
|
||||||
|
"--no-metrics_config_write_json_trace",
|
||||||
|
"--metrics_config_store_frontier_stage_batch_ledger",
|
||||||
|
"--no-random_forrest_execution_time_predictor_config_enable_dummy_mode",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_prefill_chunk_size",
|
||||||
|
"8192",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_batch_size",
|
||||||
|
"32",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_tokens_per_request",
|
||||||
|
"40960",
|
||||||
|
"--random_forrest_execution_time_predictor_config_no_cache",
|
||||||
|
"--random_forrest_execution_time_predictor_config_skip_cpu_overhead_modeling",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks",
|
||||||
|
"20128",
|
||||||
|
"--vllm_v1_scheduler_config_enable_chunked_prefill",
|
||||||
|
"--random_forrest_execution_time_predictor_config_num_training_job_threads",
|
||||||
|
"4",
|
||||||
|
"--cudagraph_capture_sizes",
|
||||||
|
"1",
|
||||||
|
"2",
|
||||||
|
"4",
|
||||||
|
"8",
|
||||||
|
"16",
|
||||||
|
"24",
|
||||||
|
"32",
|
||||||
|
"--vidur_cc_backend_config_all_reduce_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/measured-allreduce.csv",
|
||||||
|
"--vidur_cc_backend_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/cc-cache",
|
||||||
|
"--vidur_cc_backend_config_k_fold_cv_splits",
|
||||||
|
"6",
|
||||||
|
"--vidur_cc_backend_config_num_training_job_threads",
|
||||||
|
"1",
|
||||||
|
"--metrics_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/model-cache"
|
||||||
|
],
|
||||||
|
"log": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/logs/tp1_mns16.log",
|
||||||
|
"source_command": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp1_mns16/tp1/command.json",
|
||||||
|
"source_command_sha256": "a9815797b1601bf6f6cdf0269e84acb376a84945609e338868dc8347aab650e6",
|
||||||
|
"usage": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/usage/tp1_mns16.json"
|
||||||
|
},
|
||||||
|
"tp2_mns16": {
|
||||||
|
"argv": [
|
||||||
|
"/usr/bin/python3",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/run_frontier_with_curves.py",
|
||||||
|
"--simulation_mode",
|
||||||
|
"online",
|
||||||
|
"--sys_arch",
|
||||||
|
"co-location",
|
||||||
|
"--cc_backend_config_type",
|
||||||
|
"vidur",
|
||||||
|
"--cluster_config_num_replicas",
|
||||||
|
"1",
|
||||||
|
"--cluster_scheduler_config_type",
|
||||||
|
"sticky_round_robin",
|
||||||
|
"--replica_config_model_name",
|
||||||
|
"qwen3-a3b-30b-moe",
|
||||||
|
"--replica_config_device",
|
||||||
|
"h20",
|
||||||
|
"--replica_config_network_device",
|
||||||
|
"h20_dgx",
|
||||||
|
"--replica_config_attn_tensor_parallel_size",
|
||||||
|
"2",
|
||||||
|
"--replica_config_attn_data_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_moe_tensor_parallel_size",
|
||||||
|
"2",
|
||||||
|
"--replica_config_moe_expert_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_num_pipeline_stages",
|
||||||
|
"1",
|
||||||
|
"--replica_scheduler_config_type",
|
||||||
|
"vllm_v1",
|
||||||
|
"--decode_cuda_graph_mode",
|
||||||
|
"piecewise",
|
||||||
|
"--vllm_v1_scheduler_config_batch_size_cap",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_max_tokens_in_batch",
|
||||||
|
"8192",
|
||||||
|
"--vllm_v1_scheduler_config_long_prefill_token_threshold",
|
||||||
|
"0",
|
||||||
|
"--vllm_v1_scheduler_config_block_size",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks_mode",
|
||||||
|
"explicit",
|
||||||
|
"--vllm_v1_scheduler_config_gpu_memory_utilization",
|
||||||
|
"0.92",
|
||||||
|
"--vllm_v1_scheduler_config_non_kv_cache_overhead_bytes",
|
||||||
|
"0",
|
||||||
|
"--request_generator_config_type",
|
||||||
|
"trace_replay",
|
||||||
|
"--trace_request_generator_config_trace_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp2-frontier.csv",
|
||||||
|
"--trace_request_generator_config_max_tokens",
|
||||||
|
"40960",
|
||||||
|
"--metrics_config_output_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/sim/tp2_mns16/metrics",
|
||||||
|
"--metrics_config_run_id",
|
||||||
|
"joint_tp2_mns16",
|
||||||
|
"--metrics_config_write_metrics",
|
||||||
|
"--metrics_config_store_request_metrics",
|
||||||
|
"--metrics_config_store_batch_metrics",
|
||||||
|
"--metrics_config_store_token_completion_metrics",
|
||||||
|
"--metrics_config_store_utilization_metrics",
|
||||||
|
"--no-metrics_config_store_plots",
|
||||||
|
"--no-metrics_config_enable_chrome_trace",
|
||||||
|
"--no-metrics_config_write_json_trace",
|
||||||
|
"--metrics_config_store_frontier_stage_batch_ledger",
|
||||||
|
"--no-random_forrest_execution_time_predictor_config_enable_dummy_mode",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_prefill_chunk_size",
|
||||||
|
"8192",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_batch_size",
|
||||||
|
"32",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_tokens_per_request",
|
||||||
|
"40960",
|
||||||
|
"--random_forrest_execution_time_predictor_config_no_cache",
|
||||||
|
"--random_forrest_execution_time_predictor_config_skip_cpu_overhead_modeling",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks",
|
||||||
|
"76620",
|
||||||
|
"--vllm_v1_scheduler_config_enable_chunked_prefill",
|
||||||
|
"--random_forrest_execution_time_predictor_config_num_training_job_threads",
|
||||||
|
"4",
|
||||||
|
"--cudagraph_capture_sizes",
|
||||||
|
"1",
|
||||||
|
"2",
|
||||||
|
"4",
|
||||||
|
"8",
|
||||||
|
"16",
|
||||||
|
"24",
|
||||||
|
"32",
|
||||||
|
"--vidur_cc_backend_config_all_reduce_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/measured-allreduce.csv",
|
||||||
|
"--vidur_cc_backend_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/cc-cache",
|
||||||
|
"--vidur_cc_backend_config_k_fold_cv_splits",
|
||||||
|
"6",
|
||||||
|
"--vidur_cc_backend_config_num_training_job_threads",
|
||||||
|
"1",
|
||||||
|
"--metrics_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/model-cache"
|
||||||
|
],
|
||||||
|
"log": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/logs/tp2_mns16.log",
|
||||||
|
"source_command": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp2_mns16/tp2/command.json",
|
||||||
|
"source_command_sha256": "61788a8810be301c9dbc006624aa19b6a932bc44d341b836861087833cffc3df",
|
||||||
|
"usage": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/usage/tp2_mns16.json"
|
||||||
|
},
|
||||||
|
"tp4_mns16": {
|
||||||
|
"argv": [
|
||||||
|
"/usr/bin/python3",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/run_frontier_with_curves.py",
|
||||||
|
"--simulation_mode",
|
||||||
|
"online",
|
||||||
|
"--sys_arch",
|
||||||
|
"co-location",
|
||||||
|
"--cc_backend_config_type",
|
||||||
|
"vidur",
|
||||||
|
"--cluster_config_num_replicas",
|
||||||
|
"1",
|
||||||
|
"--cluster_scheduler_config_type",
|
||||||
|
"sticky_round_robin",
|
||||||
|
"--replica_config_model_name",
|
||||||
|
"qwen3-a3b-30b-moe",
|
||||||
|
"--replica_config_device",
|
||||||
|
"h20",
|
||||||
|
"--replica_config_network_device",
|
||||||
|
"h20_dgx",
|
||||||
|
"--replica_config_attn_tensor_parallel_size",
|
||||||
|
"4",
|
||||||
|
"--replica_config_attn_data_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_moe_tensor_parallel_size",
|
||||||
|
"4",
|
||||||
|
"--replica_config_moe_expert_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_num_pipeline_stages",
|
||||||
|
"1",
|
||||||
|
"--replica_scheduler_config_type",
|
||||||
|
"vllm_v1",
|
||||||
|
"--decode_cuda_graph_mode",
|
||||||
|
"piecewise",
|
||||||
|
"--vllm_v1_scheduler_config_batch_size_cap",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_max_tokens_in_batch",
|
||||||
|
"8192",
|
||||||
|
"--vllm_v1_scheduler_config_long_prefill_token_threshold",
|
||||||
|
"0",
|
||||||
|
"--vllm_v1_scheduler_config_block_size",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks_mode",
|
||||||
|
"explicit",
|
||||||
|
"--vllm_v1_scheduler_config_gpu_memory_utilization",
|
||||||
|
"0.92",
|
||||||
|
"--vllm_v1_scheduler_config_non_kv_cache_overhead_bytes",
|
||||||
|
"0",
|
||||||
|
"--request_generator_config_type",
|
||||||
|
"trace_replay",
|
||||||
|
"--trace_request_generator_config_trace_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp4-frontier.csv",
|
||||||
|
"--trace_request_generator_config_max_tokens",
|
||||||
|
"40960",
|
||||||
|
"--metrics_config_output_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/sim/tp4_mns16/metrics",
|
||||||
|
"--metrics_config_run_id",
|
||||||
|
"joint_tp4_mns16",
|
||||||
|
"--metrics_config_write_metrics",
|
||||||
|
"--metrics_config_store_request_metrics",
|
||||||
|
"--metrics_config_store_batch_metrics",
|
||||||
|
"--metrics_config_store_token_completion_metrics",
|
||||||
|
"--metrics_config_store_utilization_metrics",
|
||||||
|
"--no-metrics_config_store_plots",
|
||||||
|
"--no-metrics_config_enable_chrome_trace",
|
||||||
|
"--no-metrics_config_write_json_trace",
|
||||||
|
"--metrics_config_store_frontier_stage_batch_ledger",
|
||||||
|
"--no-random_forrest_execution_time_predictor_config_enable_dummy_mode",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_prefill_chunk_size",
|
||||||
|
"8192",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_batch_size",
|
||||||
|
"32",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_tokens_per_request",
|
||||||
|
"40960",
|
||||||
|
"--random_forrest_execution_time_predictor_config_no_cache",
|
||||||
|
"--random_forrest_execution_time_predictor_config_skip_cpu_overhead_modeling",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks",
|
||||||
|
"191882",
|
||||||
|
"--vllm_v1_scheduler_config_enable_chunked_prefill",
|
||||||
|
"--random_forrest_execution_time_predictor_config_num_training_job_threads",
|
||||||
|
"4",
|
||||||
|
"--cudagraph_capture_sizes",
|
||||||
|
"1",
|
||||||
|
"2",
|
||||||
|
"4",
|
||||||
|
"8",
|
||||||
|
"16",
|
||||||
|
"24",
|
||||||
|
"32",
|
||||||
|
"--vidur_cc_backend_config_all_reduce_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/measured-allreduce.csv",
|
||||||
|
"--vidur_cc_backend_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/cc-cache",
|
||||||
|
"--vidur_cc_backend_config_k_fold_cv_splits",
|
||||||
|
"6",
|
||||||
|
"--vidur_cc_backend_config_num_training_job_threads",
|
||||||
|
"1",
|
||||||
|
"--metrics_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/model-cache"
|
||||||
|
],
|
||||||
|
"log": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/logs/tp4_mns16.log",
|
||||||
|
"source_command": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp4_mns16/tp4/command.json",
|
||||||
|
"source_command_sha256": "9bbcf10446336ba5885193f391dd628cd18ff64d91a51ebcd463ffd24be95532",
|
||||||
|
"usage": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/usage/tp4_mns16.json"
|
||||||
|
},
|
||||||
|
"tp4_mns32": {
|
||||||
|
"argv": [
|
||||||
|
"/usr/bin/python3",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/run_frontier_with_curves.py",
|
||||||
|
"--simulation_mode",
|
||||||
|
"online",
|
||||||
|
"--sys_arch",
|
||||||
|
"co-location",
|
||||||
|
"--cc_backend_config_type",
|
||||||
|
"vidur",
|
||||||
|
"--cluster_config_num_replicas",
|
||||||
|
"1",
|
||||||
|
"--cluster_scheduler_config_type",
|
||||||
|
"sticky_round_robin",
|
||||||
|
"--replica_config_model_name",
|
||||||
|
"qwen3-a3b-30b-moe",
|
||||||
|
"--replica_config_device",
|
||||||
|
"h20",
|
||||||
|
"--replica_config_network_device",
|
||||||
|
"h20_dgx",
|
||||||
|
"--replica_config_attn_tensor_parallel_size",
|
||||||
|
"4",
|
||||||
|
"--replica_config_attn_data_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_moe_tensor_parallel_size",
|
||||||
|
"4",
|
||||||
|
"--replica_config_moe_expert_parallel_size",
|
||||||
|
"1",
|
||||||
|
"--replica_config_num_pipeline_stages",
|
||||||
|
"1",
|
||||||
|
"--replica_scheduler_config_type",
|
||||||
|
"vllm_v1",
|
||||||
|
"--decode_cuda_graph_mode",
|
||||||
|
"piecewise",
|
||||||
|
"--vllm_v1_scheduler_config_batch_size_cap",
|
||||||
|
"32",
|
||||||
|
"--vllm_v1_scheduler_config_max_tokens_in_batch",
|
||||||
|
"8192",
|
||||||
|
"--vllm_v1_scheduler_config_long_prefill_token_threshold",
|
||||||
|
"0",
|
||||||
|
"--vllm_v1_scheduler_config_block_size",
|
||||||
|
"16",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks_mode",
|
||||||
|
"explicit",
|
||||||
|
"--vllm_v1_scheduler_config_gpu_memory_utilization",
|
||||||
|
"0.92",
|
||||||
|
"--vllm_v1_scheduler_config_non_kv_cache_overhead_bytes",
|
||||||
|
"0",
|
||||||
|
"--request_generator_config_type",
|
||||||
|
"trace_replay",
|
||||||
|
"--trace_request_generator_config_trace_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp4-frontier.csv",
|
||||||
|
"--trace_request_generator_config_max_tokens",
|
||||||
|
"40960",
|
||||||
|
"--metrics_config_output_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/sim/tp4_mns32/metrics",
|
||||||
|
"--metrics_config_run_id",
|
||||||
|
"joint_tp4_mns32",
|
||||||
|
"--metrics_config_write_metrics",
|
||||||
|
"--metrics_config_store_request_metrics",
|
||||||
|
"--metrics_config_store_batch_metrics",
|
||||||
|
"--metrics_config_store_token_completion_metrics",
|
||||||
|
"--metrics_config_store_utilization_metrics",
|
||||||
|
"--no-metrics_config_store_plots",
|
||||||
|
"--no-metrics_config_enable_chrome_trace",
|
||||||
|
"--no-metrics_config_write_json_trace",
|
||||||
|
"--metrics_config_store_frontier_stage_batch_ledger",
|
||||||
|
"--no-random_forrest_execution_time_predictor_config_enable_dummy_mode",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/profile-v4-trace-final/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_linear_op_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/linear_op.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/attention.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_moe_kernel_only_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/frozen-kernel-only/moe.csv",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_prefill_chunk_size",
|
||||||
|
"8192",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_batch_size",
|
||||||
|
"64",
|
||||||
|
"--random_forrest_execution_time_predictor_config_prediction_max_tokens_per_request",
|
||||||
|
"40960",
|
||||||
|
"--random_forrest_execution_time_predictor_config_no_cache",
|
||||||
|
"--random_forrest_execution_time_predictor_config_skip_cpu_overhead_modeling",
|
||||||
|
"--vllm_v1_scheduler_config_num_blocks",
|
||||||
|
"191786",
|
||||||
|
"--vllm_v1_scheduler_config_enable_chunked_prefill",
|
||||||
|
"--random_forrest_execution_time_predictor_config_num_training_job_threads",
|
||||||
|
"4",
|
||||||
|
"--cudagraph_capture_sizes",
|
||||||
|
"1",
|
||||||
|
"2",
|
||||||
|
"4",
|
||||||
|
"8",
|
||||||
|
"16",
|
||||||
|
"24",
|
||||||
|
"32",
|
||||||
|
"40",
|
||||||
|
"48",
|
||||||
|
"56",
|
||||||
|
"64",
|
||||||
|
"--vidur_cc_backend_config_all_reduce_input_file",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-profiles/measured-allreduce.csv",
|
||||||
|
"--vidur_cc_backend_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/cc-cache",
|
||||||
|
"--vidur_cc_backend_config_k_fold_cv_splits",
|
||||||
|
"6",
|
||||||
|
"--vidur_cc_backend_config_num_training_job_threads",
|
||||||
|
"1",
|
||||||
|
"--metrics_config_cache_dir",
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/model-cache"
|
||||||
|
],
|
||||||
|
"log": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/logs/tp4_mns32.log",
|
||||||
|
"source_command": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp4_mns32/tp4/command.json",
|
||||||
|
"source_command_sha256": "fbc7dee55590b415ed1cde8072de835ed155a0c20ba0eb305c3cb22aa8065a51",
|
||||||
|
"usage": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/usage/tp4_mns32.json"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"collective_curve": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/results/collective-curve.json",
|
||||||
|
"collective_curve_sha256": "f9543649d4ea78f08240bf1284ab74083aa5cf5671ed47e386047f1453300b36",
|
||||||
|
"collective_curve_variant": "drop_mean",
|
||||||
|
"frontier_checkout": "/tmp/frontier-attn-structured-v0",
|
||||||
|
"frontier_commit": "1f8900a4ac64e45754b03d0aa7c1dddab65785cf",
|
||||||
|
"mode": "joint",
|
||||||
|
"model_cache": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/model-cache",
|
||||||
|
"moe_curve": "/home/gahow/phd/aituner/runs/frontier-fused-moe-profile-v0/results/fused-moe-curve.json",
|
||||||
|
"moe_curve_sha256": "b94d65d9d581adefcc6c14ed4920cce6a1136f74f1014737dc3e4249bc8250d2",
|
||||||
|
"python": "/usr/bin/python3",
|
||||||
|
"python_dependency_roots": [
|
||||||
|
"/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/python-deps",
|
||||||
|
"/home/gahow/.cache/uv/archive-v0/-_kzErLcPO5nASZFX8b9k",
|
||||||
|
"/home/gahow/.cache/uv/archive-v0/FbaBs_QJ9QKEbQ9V_4aIR",
|
||||||
|
"/home/gahow/.cache/uv/archive-v0/fuHsGXD0Lv_UjFC8yI4-7",
|
||||||
|
"/home/gahow/.cache/uv/archive-v0/jFGdqQLpB1eopfm9VxT3j",
|
||||||
|
"/home/gahow/.cache/uv/archive-v0/YWW6ExSJuPVvv4-qYQTin",
|
||||||
|
"/home/gahow/.cache/uv/archive-v0/3_qxZ5Ll-EpVAGZfbksfe"
|
||||||
|
],
|
||||||
|
"traces": {
|
||||||
|
"1": {
|
||||||
|
"first_arrival_s": 0.0,
|
||||||
|
"last_arrival_s": 595.348837209302,
|
||||||
|
"requests": 129,
|
||||||
|
"source_request_metrics": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp1_mns16/tp1/metrics/qwen3_a3b_30b_moe/online_serving/qwen30_trace_tp1_mns16_tp1/request_metrics.csv",
|
||||||
|
"source_sha256": "0b82e09644a5884fcd10d894b68495daefdabb32b770146c2f9ece37b8469f4f",
|
||||||
|
"trace": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp1-frontier.csv",
|
||||||
|
"trace_sha256": "59dd8996ff879ef94330004104dfdf515b791bce4036576eccc93290e9206dad"
|
||||||
|
},
|
||||||
|
"2": {
|
||||||
|
"first_arrival_s": 0.0,
|
||||||
|
"last_arrival_s": 297.674418604651,
|
||||||
|
"requests": 129,
|
||||||
|
"source_request_metrics": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp2_mns16/tp2/metrics/qwen3_a3b_30b_moe/online_serving/qwen30_trace_tp2_mns16_tp2/request_metrics.csv",
|
||||||
|
"source_sha256": "33983081bb20dd5e2053e9e3d13def8732e958150c9b47a8609ba345123f2316",
|
||||||
|
"trace": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp2-frontier.csv",
|
||||||
|
"trace_sha256": "64fc077b38274a76a8279884ac4115836cd1157c95119c64fabac50d81124f69"
|
||||||
|
},
|
||||||
|
"4": {
|
||||||
|
"first_arrival_s": 0.0,
|
||||||
|
"last_arrival_s": 148.837209302326,
|
||||||
|
"requests": 129,
|
||||||
|
"source_request_metrics": "/home/gahow/phd/aituner/runs/frontier-split-rootcause-v0/frozen-inputs/q30-lo-fixed-pd-cells/sim/fixed-pd/runs/tp4_mns16/tp4/metrics/qwen3_a3b_30b_moe/online_serving/qwen30_trace_tp4_mns16_tp4/request_metrics.csv",
|
||||||
|
"source_sha256": "b36cd383c07b546d2c1f2fac754d5dbb92efd6880316b4233a7aef9fa1115a36",
|
||||||
|
"trace": "/home/gahow/phd/aituner/runs/frontier-collective-joint-v0/counterfactual/joint-r2/inputs/tp4-frontier.csv",
|
||||||
|
"trace_sha256": "adb3d6f3932a44c86c3d9e7cf1e57739594e8c48d19a26b5aa54b37dce0e0c19"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
631
runs/frontier-tp2-prefill-serving-v0/results/replay-verdict.json
Normal file
631
runs/frontier-tp2-prefill-serving-v0/results/replay-verdict.json
Normal file
@@ -0,0 +1,631 @@
|
|||||||
|
{
|
||||||
|
"cells": {
|
||||||
|
"tp2_rho0p0025": {
|
||||||
|
"structured_attention": {
|
||||||
|
"legacy_pooled_distribution_bias": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.12696146154030977,
|
||||||
|
"p50": 0.14796251184179712,
|
||||||
|
"p90": 0.12767235986604622,
|
||||||
|
"p99": -0.03965040123988098
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.15073709978689778,
|
||||||
|
"p50": 0.18527285925405948,
|
||||||
|
"p90": 0.07863996768588354,
|
||||||
|
"p99": 0.1661995397125918
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": -0.045433491316312524,
|
||||||
|
"p50": -0.0875990583320057,
|
||||||
|
"p90": -0.1142200855839675,
|
||||||
|
"p99": -0.07674087497700505
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"trialwise_distribution_bias": [
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.12073678040141796,
|
||||||
|
"p50": 0.14420262806746403,
|
||||||
|
"p90": 0.11915070375608593,
|
||||||
|
"p99": -0.022788557992646938
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.14386158526258666,
|
||||||
|
"p50": 0.1787588067010671,
|
||||||
|
"p90": 0.071419448886029,
|
||||||
|
"p99": 0.17844287277146695
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": -0.044844475267623835,
|
||||||
|
"p50": -0.08906525404741798,
|
||||||
|
"p90": -0.11412907883561804,
|
||||||
|
"p99": -0.07227786537885415
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.13325567383154438,
|
||||||
|
"p50": 0.15920445684060733,
|
||||||
|
"p90": 0.12953600816854335,
|
||||||
|
"p99": -0.009483068681846096
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.15769576871598226,
|
||||||
|
"p50": 0.196444372264794,
|
||||||
|
"p90": 0.08604019319402298,
|
||||||
|
"p99": 0.19311481061458743
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": -0.046021781355297144,
|
||||||
|
"p50": -0.08612813517467069,
|
||||||
|
"p90": -0.11510233828040589,
|
||||||
|
"p99": -0.07592149320892366
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"trialwise_distribution_bias_summary": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.13325567383154438,
|
||||||
|
"mean": 0.12699622711648118,
|
||||||
|
"min": 0.12073678040141796
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.15920445684060733,
|
||||||
|
"mean": 0.15170354245403567,
|
||||||
|
"min": 0.14420262806746403
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.12953600816854335,
|
||||||
|
"mean": 0.12434335596231463,
|
||||||
|
"min": 0.11915070375608593
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": -0.009483068681846096,
|
||||||
|
"mean": -0.016135813337246518,
|
||||||
|
"min": -0.022788557992646938
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.15769576871598226,
|
||||||
|
"mean": 0.15077867698928446,
|
||||||
|
"min": 0.14386158526258666
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.196444372264794,
|
||||||
|
"mean": 0.18760158948293054,
|
||||||
|
"min": 0.1787588067010671
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.08604019319402298,
|
||||||
|
"mean": 0.07872982104002599,
|
||||||
|
"min": 0.071419448886029
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.19311481061458743,
|
||||||
|
"mean": 0.1857788416930272,
|
||||||
|
"min": 0.17844287277146695
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": {
|
||||||
|
"max": -0.044844475267623835,
|
||||||
|
"mean": -0.045433128311460486,
|
||||||
|
"min": -0.046021781355297144
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": -0.08612813517467069,
|
||||||
|
"mean": -0.08759669461104433,
|
||||||
|
"min": -0.08906525404741798
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": -0.11412907883561804,
|
||||||
|
"mean": -0.11461570855801197,
|
||||||
|
"min": -0.11510233828040589
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": -0.07227786537885415,
|
||||||
|
"mean": -0.07409967929388891,
|
||||||
|
"min": -0.07592149320892366
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"waiting_p99_ms": 777.5911879793948
|
||||||
|
},
|
||||||
|
"structured_attention_plus_prefill_moe": {
|
||||||
|
"legacy_pooled_distribution_bias": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.15546889966298288,
|
||||||
|
"p50": 0.160521791081281,
|
||||||
|
"p90": 0.14949973986858572,
|
||||||
|
"p99": 0.063501869119007
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.1725158165141388,
|
||||||
|
"p50": 0.19940581724371484,
|
||||||
|
"p90": 0.1197438720681557,
|
||||||
|
"p99": 0.16591937069699617
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.052253838015785536,
|
||||||
|
"p50": 0.011133339751522397,
|
||||||
|
"p90": -0.05603209782959642,
|
||||||
|
"p99": 0.008949154409837737
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"paired_relative_error": [
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.19703071945786896,
|
||||||
|
"p50": 0.16651188156434055,
|
||||||
|
"p90": 0.3164763187383559,
|
||||||
|
"p99": 0.828609074267838
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.19036780497451272,
|
||||||
|
"p50": 0.17682334345090506,
|
||||||
|
"p90": 0.25886898169288464,
|
||||||
|
"p99": 0.7758893841183759
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.45065657187067015,
|
||||||
|
"p50": 0.10957981115881457,
|
||||||
|
"p90": 1.0421699185581517,
|
||||||
|
"p99": 5.507647228917042
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.20969149313321356,
|
||||||
|
"p50": 0.17863746376866904,
|
||||||
|
"p90": 0.32770775080455516,
|
||||||
|
"p99": 0.8245897427826396
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.20429023428176118,
|
||||||
|
"p50": 0.19259101506782267,
|
||||||
|
"p90": 0.2812533323043662,
|
||||||
|
"p99": 0.7385621812554619
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.4457497323795849,
|
||||||
|
"p50": 0.10597514413253763,
|
||||||
|
"p90": 1.0162200916250081,
|
||||||
|
"p99": 5.496662131059387
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"trialwise_distribution_bias": [
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.14908675997874046,
|
||||||
|
"p50": 0.1567207723136509,
|
||||||
|
"p90": 0.14081313742067922,
|
||||||
|
"p99": 0.08217486261364416
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.16551017680032373,
|
||||||
|
"p50": 0.1928140924228096,
|
||||||
|
"p90": 0.11224819981281003,
|
||||||
|
"p99": 0.1781597624045383
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.052903132111322415,
|
||||||
|
"p50": 0.00950848459985634,
|
||||||
|
"p90": -0.05593511273439991,
|
||||||
|
"p99": 0.013826387288597744
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.16192232934855333,
|
||||||
|
"p50": 0.1718867285340943,
|
||||||
|
"p90": 0.15139946120181186,
|
||||||
|
"p99": 0.09690951004812934
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.17960618440333612,
|
||||||
|
"p50": 0.21071053715514645,
|
||||||
|
"p90": 0.1274260991438306,
|
||||||
|
"p99": 0.19282817544573386
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.051605344227498705,
|
||||||
|
"p50": 0.012763433909333126,
|
||||||
|
"p90": -0.05697230680643937,
|
||||||
|
"p99": 0.009844585085406704
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"trialwise_distribution_bias_summary": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.16192232934855333,
|
||||||
|
"mean": 0.15550454466364688,
|
||||||
|
"min": 0.14908675997874046
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.1718867285340943,
|
||||||
|
"mean": 0.1643037504238726,
|
||||||
|
"min": 0.1567207723136509
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.15139946120181186,
|
||||||
|
"mean": 0.14610629931124552,
|
||||||
|
"min": 0.14081313742067922
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.09690951004812934,
|
||||||
|
"mean": 0.08954218633088676,
|
||||||
|
"min": 0.08217486261364416
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.17960618440333612,
|
||||||
|
"mean": 0.17255818060182992,
|
||||||
|
"min": 0.16551017680032373
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.21071053715514645,
|
||||||
|
"mean": 0.20176231478897805,
|
||||||
|
"min": 0.1928140924228096
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.1274260991438306,
|
||||||
|
"mean": 0.11983714947832032,
|
||||||
|
"min": 0.11224819981281003
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.19282817544573386,
|
||||||
|
"mean": 0.1854939689251361,
|
||||||
|
"min": 0.1781597624045383
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.052903132111322415,
|
||||||
|
"mean": 0.05225423816941056,
|
||||||
|
"min": 0.051605344227498705
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.012763433909333126,
|
||||||
|
"mean": 0.011135959254594732,
|
||||||
|
"min": 0.00950848459985634
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": -0.05593511273439991,
|
||||||
|
"mean": -0.056453709770419636,
|
||||||
|
"min": -0.05697230680643937
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.013826387288597744,
|
||||||
|
"mean": 0.011835486187002224,
|
||||||
|
"min": 0.009844585085406704
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"waiting_p99_ms": 872.1814900223759
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"tp2_rho0p005": {
|
||||||
|
"structured_attention": {
|
||||||
|
"legacy_pooled_distribution_bias": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.050164236759908075,
|
||||||
|
"p50": 0.0912493994395978,
|
||||||
|
"p90": -0.0004979191794830456,
|
||||||
|
"p99": -0.0014369075488634014
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.05457336599027876,
|
||||||
|
"p50": 0.0872512146277895,
|
||||||
|
"p90": 0.01132352325010614,
|
||||||
|
"p99": -0.05948329733667248
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": -0.07082500585057615,
|
||||||
|
"p50": -0.1284088888361358,
|
||||||
|
"p90": -0.111136573344055,
|
||||||
|
"p99": -0.09012556161973535
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"trialwise_distribution_bias": [
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.04462683161260099,
|
||||||
|
"p50": 0.0878889042422101,
|
||||||
|
"p90": -0.006843953727060337,
|
||||||
|
"p99": -0.0036641600308731643
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.048585629713612626,
|
||||||
|
"p50": 0.08234652581183928,
|
||||||
|
"p90": 0.003101343693636994,
|
||||||
|
"p99": -0.05952673172238401
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": -0.07113138559444453,
|
||||||
|
"p50": -0.1294796632798084,
|
||||||
|
"p90": -0.11063584772248519,
|
||||||
|
"p99": -0.08982438463776078
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.05576066061144686,
|
||||||
|
"p50": 0.09176507061640418,
|
||||||
|
"p90": 0.003187406757202862,
|
||||||
|
"p99": 0.004813545234813467
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.060629878515092876,
|
||||||
|
"p50": 0.09375745746657616,
|
||||||
|
"p90": 0.019190079238111446,
|
||||||
|
"p99": -0.05840233314016777
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": -0.07051842392629604,
|
||||||
|
"p50": -0.12771160295843229,
|
||||||
|
"p90": -0.11011498510890981,
|
||||||
|
"p99": -0.08861845103384182
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"trialwise_distribution_bias_summary": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.05576066061144686,
|
||||||
|
"mean": 0.05019374611202393,
|
||||||
|
"min": 0.04462683161260099
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.09176507061640418,
|
||||||
|
"mean": 0.08982698742930714,
|
||||||
|
"min": 0.0878889042422101
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.003187406757202862,
|
||||||
|
"mean": -0.0018282734849287376,
|
||||||
|
"min": -0.006843953727060337
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.004813545234813467,
|
||||||
|
"mean": 0.0005746926019701514,
|
||||||
|
"min": -0.0036641600308731643
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.060629878515092876,
|
||||||
|
"mean": 0.05460775411435275,
|
||||||
|
"min": 0.048585629713612626
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.09375745746657616,
|
||||||
|
"mean": 0.08805199163920771,
|
||||||
|
"min": 0.08234652581183928
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.019190079238111446,
|
||||||
|
"mean": 0.01114571146587422,
|
||||||
|
"min": 0.003101343693636994
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": -0.05840233314016777,
|
||||||
|
"mean": -0.05896453243127589,
|
||||||
|
"min": -0.05952673172238401
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": {
|
||||||
|
"max": -0.07051842392629604,
|
||||||
|
"mean": -0.07082490476037029,
|
||||||
|
"min": -0.07113138559444453
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": -0.12771160295843229,
|
||||||
|
"mean": -0.12859563311912034,
|
||||||
|
"min": -0.1294796632798084
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": -0.11011498510890981,
|
||||||
|
"mean": -0.11037541641569751,
|
||||||
|
"min": -0.11063584772248519
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": -0.08861845103384182,
|
||||||
|
"mean": -0.0892214178358013,
|
||||||
|
"min": -0.08982438463776078
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"waiting_p99_ms": 1166.1196883368564
|
||||||
|
},
|
||||||
|
"structured_attention_plus_prefill_moe": {
|
||||||
|
"legacy_pooled_distribution_bias": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.09135599701015996,
|
||||||
|
"p50": 0.12135156828958114,
|
||||||
|
"p90": 0.046904152670232756,
|
||||||
|
"p99": 0.05267198541612694
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.09686033389444083,
|
||||||
|
"p50": 0.10920022438478016,
|
||||||
|
"p90": 0.055959658792935615,
|
||||||
|
"p99": 0.03647201411457465
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.03133826519177879,
|
||||||
|
"p50": -0.002404965655955949,
|
||||||
|
"p90": -0.03671038522787783,
|
||||||
|
"p99": -0.003047423826180572
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"paired_relative_error": [
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.1373684769346999,
|
||||||
|
"p50": 0.10813242136980938,
|
||||||
|
"p90": 0.27973507165610256,
|
||||||
|
"p99": 0.6892985502092539
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.12750409894388354,
|
||||||
|
"p50": 0.10486952080742089,
|
||||||
|
"p90": 0.2347358304319833,
|
||||||
|
"p99": 0.7326960496792728
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.48959967245129044,
|
||||||
|
"p50": 0.11864693915356177,
|
||||||
|
"p90": 1.3203954670852478,
|
||||||
|
"p99": 5.486884563706639
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.15015620590606898,
|
||||||
|
"p50": 0.11828746639583118,
|
||||||
|
"p90": 0.29344565738935435,
|
||||||
|
"p99": 0.7209062198737742
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.14093466935703095,
|
||||||
|
"p50": 0.11608679958107468,
|
||||||
|
"p90": 0.24292321061978972,
|
||||||
|
"p99": 0.7622579889720426
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.4989603034128753,
|
||||||
|
"p50": 0.11800815758794723,
|
||||||
|
"p90": 1.394773550999063,
|
||||||
|
"p99": 5.683406566684342
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"trialwise_distribution_bias": [
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.08560139205995335,
|
||||||
|
"p50": 0.11789837366536833,
|
||||||
|
"p90": 0.040257153080803736,
|
||||||
|
"p99": 0.05032404535106296
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.09063249747878419,
|
||||||
|
"p50": 0.10419652159558444,
|
||||||
|
"p90": 0.04737458218848663,
|
||||||
|
"p99": 0.03642414837746145
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.03099819883665655,
|
||||||
|
"p50": -0.0036305394992732502,
|
||||||
|
"p90": -0.03616773291859882,
|
||||||
|
"p99": -0.0027174231630140012
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"e2e": {
|
||||||
|
"mean": 0.09717193562089739,
|
||||||
|
"p50": 0.12188146428139615,
|
||||||
|
"p90": 0.05076425771763047,
|
||||||
|
"p99": 0.05926112994918994
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": 0.10315970439292232,
|
||||||
|
"p50": 0.11583781275404642,
|
||||||
|
"p90": 0.06417341590032893,
|
||||||
|
"p99": 0.037663262642925396
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": 0.031678555957153555,
|
||||||
|
"p50": -0.001606874761951341,
|
||||||
|
"p90": -0.03560325750951616,
|
||||||
|
"p99": -0.0013960775328830752
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"trialwise_distribution_bias_summary": {
|
||||||
|
"e2e": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.09717193562089739,
|
||||||
|
"mean": 0.09138666384042538,
|
||||||
|
"min": 0.08560139205995335
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.12188146428139615,
|
||||||
|
"mean": 0.11988991897338225,
|
||||||
|
"min": 0.11789837366536833
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.05076425771763047,
|
||||||
|
"mean": 0.0455107053992171,
|
||||||
|
"min": 0.040257153080803736
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.05926112994918994,
|
||||||
|
"mean": 0.05479258765012645,
|
||||||
|
"min": 0.05032404535106296
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"tpot": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.10315970439292232,
|
||||||
|
"mean": 0.09689610093585325,
|
||||||
|
"min": 0.09063249747878419
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": 0.11583781275404642,
|
||||||
|
"mean": 0.11001716717481544,
|
||||||
|
"min": 0.10419652159558444
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": 0.06417341590032893,
|
||||||
|
"mean": 0.05577399904440778,
|
||||||
|
"min": 0.04737458218848663
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": 0.037663262642925396,
|
||||||
|
"mean": 0.037043705510193425,
|
||||||
|
"min": 0.03642414837746145
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"ttft": {
|
||||||
|
"mean": {
|
||||||
|
"max": 0.031678555957153555,
|
||||||
|
"mean": 0.03133837739690505,
|
||||||
|
"min": 0.03099819883665655
|
||||||
|
},
|
||||||
|
"p50": {
|
||||||
|
"max": -0.001606874761951341,
|
||||||
|
"mean": -0.002618707130612296,
|
||||||
|
"min": -0.0036305394992732502
|
||||||
|
},
|
||||||
|
"p90": {
|
||||||
|
"max": -0.03560325750951616,
|
||||||
|
"mean": -0.03588549521405749,
|
||||||
|
"min": -0.03616773291859882
|
||||||
|
},
|
||||||
|
"p99": {
|
||||||
|
"max": -0.0013960775328830752,
|
||||||
|
"mean": -0.0020567503479485385,
|
||||||
|
"min": -0.0027174231630140012
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"waiting_p99_ms": 1296.3971075780032
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"decision": "reject_global_scale_and_fit_shape_conditioned_curve",
|
||||||
|
"gates": {
|
||||||
|
"subcritical_mean_ttft_abs_bias_improves_3pp": false,
|
||||||
|
"subcritical_ttft_e2e_abs_bias_not_worse": false,
|
||||||
|
"subcritical_waiting_below_1s": true
|
||||||
|
},
|
||||||
|
"schema": "frontier-tp2-prefill-serving-replay-verdict.v1"
|
||||||
|
}
|
||||||
@@ -0,0 +1,32 @@
|
|||||||
|
{
|
||||||
|
"contract": {
|
||||||
|
"moe_mapping": "standalone moe_grouped_gemm and serving MoE both include expert prepare/finalize plus expert GEMMs",
|
||||||
|
"real_anchor_ms": 410.0,
|
||||||
|
"serving_sample": "longest execute window on critical TP rank",
|
||||||
|
"simulator_sample": "mean of first nine q8192/ctx0 single-request chunks"
|
||||||
|
},
|
||||||
|
"counterfactual": {
|
||||||
|
"moe_only_counterfactual_bias": -0.02523382099105694,
|
||||||
|
"moe_only_counterfactual_total_ms": 399.65413339366665,
|
||||||
|
"moe_residual_fraction": 0.8075231403622317,
|
||||||
|
"moe_residual_ms": 43.40535640199994,
|
||||||
|
"moe_scale": 1.2536568227334743,
|
||||||
|
"total_residual_ms": 53.751223008333284
|
||||||
|
},
|
||||||
|
"decision": "inject_tp2_prefill_moe_and_replay",
|
||||||
|
"gates": {
|
||||||
|
"moe_explains_at_least_70pct": true,
|
||||||
|
"moe_only_counterfactual_within_5pct": true,
|
||||||
|
"serving_reproduces_anchor_within_5pct": true
|
||||||
|
},
|
||||||
|
"measurements_ms": {
|
||||||
|
"real_anchor": 410.0,
|
||||||
|
"serving_execute_wall": 408.19065,
|
||||||
|
"serving_moe": 214.52378299999995,
|
||||||
|
"serving_non_moe": 193.66686700000005,
|
||||||
|
"simulator_moe_grouped_gemm": 171.118426598,
|
||||||
|
"simulator_non_moe": 185.1303503936667,
|
||||||
|
"simulator_total": 356.2487769916667
|
||||||
|
},
|
||||||
|
"schema": "frontier-tp2-prefill-serving-smoke-verdict.v1"
|
||||||
|
}
|
||||||
463
runs/frontier-tp2-prefill-serving-v0/results/serving-smoke.json
Normal file
463
runs/frontier-tp2-prefill-serving-v0/results/serving-smoke.json
Normal file
@@ -0,0 +1,463 @@
|
|||||||
|
{
|
||||||
|
"contract": {
|
||||||
|
"component_time": "sum of CUDA kernel duration within selected window",
|
||||||
|
"critical_path": "rank with largest selected execute wall",
|
||||||
|
"selection": "longest execute annotation per TP rank"
|
||||||
|
},
|
||||||
|
"critical_rank": {
|
||||||
|
"all_execute_windows": [
|
||||||
|
{
|
||||||
|
"duration_ms": 408.19065,
|
||||||
|
"name": "execute_context_1(8192)_generation_0(0)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 5.17557,
|
||||||
|
"name": "execute_context_0(0)_generation_1(1)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"components_ms": {
|
||||||
|
"attention": 99.67212900000001,
|
||||||
|
"collective": 27.829565000000006,
|
||||||
|
"linear_norm_rope": 57.39125199999998,
|
||||||
|
"moe": 214.52378299999995,
|
||||||
|
"other": 1.9318720000000007,
|
||||||
|
"router": 0.7856679999999999
|
||||||
|
},
|
||||||
|
"execute_annotation_histogram": {
|
||||||
|
"execute_context_0(0)_generation_1(1)": 1,
|
||||||
|
"execute_context_1(8192)_generation_0(0)": 1
|
||||||
|
},
|
||||||
|
"execute_wall_ms": 408.19065,
|
||||||
|
"gpu_kernel_busy_ms": 402.13426899999996,
|
||||||
|
"kernel_rows": [
|
||||||
|
{
|
||||||
|
"duration_ms": 122.02009999999999,
|
||||||
|
"name": "void fused_moe::run_global<fused_moe::Fused_Moe_Kernel_sm80<cutlass::bfloat16_t, cutlass::bfloat16_t, cutlass::bfloat16_t, 32, 128, 64, 3, (fused_moe::Activation_Type)3> >(fused_moe::Fused_Moe_Kernel_sm80<cutlass::bfloat16_t, cutlass::bfloat16_t, cutlass::bfloat16_t, 32, 128, 64, 3, (fused_moe::Activation_Type)3>::Params)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 97.15557600000001,
|
||||||
|
"name": "void cutlass::device_kernel<flash::enable_sm90_or_later<flash::FlashAttnFwdSm90<flash::CollectiveMainloopFwdSm90<2, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, 128, cutlass::bfloat16_t, float, cutlass::arch::Sm90, true, false, false, true, true, false, false, true, true, true, false, false, cutlass::bfloat16_t, 8>, flash::CollectiveEpilogueFwd<cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cutlass::bfloat16_t, cutlass::arch::Sm90, 256, true, true, false, false, 8>, flash::VarlenDynamicPersistentTileScheduler<128, 128, 256, 128, false, true, true, true, false, true> > > >(flash::enable_sm90_or_later<flash::FlashAttnFwdSm90<flash::CollectiveMainloopFwdSm90<2, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, 128, cutlass::bfloat16_t, float, cutlass::arch::Sm90, true, false, false, true, true, false, false, true, true, true, false, false, cutlass::bfloat16_t, 8>, flash::CollectiveEpilogueFwd<cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cutlass::bfloat16_t, cutlass::arch::Sm90, 256, true, true, false, false, 8>, flash::VarlenDynamicPersistentTileScheduler<128, 128, 256, 128, false, true, true, true, false, true> > >::Params)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 80.135489,
|
||||||
|
"name": "_ZN7cutlass13device_kernelINS_4gemm6kernel13GemmUniversalINS1_17GroupProblemShapeIN4cute5tupleIJlllEEEEENS1_10collective13CollectiveMmaINS1_39MainloopSm90ArrayTmaGmmaWarpSpecializedILi12ENS6_IJNS5_1CILi1EEESD_SD_EEENS1_43KernelPtrArrayTmaWarpSpecializedCooperativeEEENS6_IJNSC_ILi128EEENSC_ILi16EEENSC_ILi64EEEEEENS_10bfloat16_tEPNS6_IJlSD_NSC_ILi0EEEEEESL_SO_NS5_8TiledMMAINS5_8MMA_AtomIJNS5_4SM904GMMA27MMA_64x16x16_F32BF16BF16_SSILNSS_5MajorE0ELSU_0ELNSS_7ScaleInE1ELSV_1EEEEEENS5_6LayoutINS6_IJNSC_ILi2EEESD_SD_EEENS6_IJSD_SM_SM_EEEEENS6_IJNS5_10UnderscoreES13_S13_EEEEENS5_13SM90_TMA_LOADENS5_14ComposedLayoutINS5_7SwizzleILi3ELi4ELi3EEENS5_18smem_ptr_flag_bitsILi16EEENSY_INS6_IJNSC_ILi8EEESJ_EEENS6_IJSJ_SD_EEEEEEEvNS5_8identityES16_S1G_vS1H_EENS_8epilogue10collective18CollectiveEpilogueINS1J_30Sm90PtrArrayTmaWarpSpecializedILi1ELi1ELi8ELb0ELb0ELi2EEEJSK_NS6_IJSH_SI_EEEvPNS6_IJSD_lSM_EEEvS1Q_NS1J_6fusion15FusionCallbacksIS1N_NS1R_37ScaledAccPerRowBiasPerColScaleScatterINS_6layout11ColumnMajorESL_fSL_ffLi8ELi8ELNS_15FloatRoundStyleE2EEESK_S1O_JNS17_IS19_S1B_NSY_INS6_IJSJ_S1C_EEENS6_IJSD_SJ_EEEEEEENS5_17SM90_U16x8_STSM_TEEEES16_S21_NS5_17SM75_U16x8_LDSM_TENS5_14SM90_TMA_STOREES21_S22_NS5_9Copy_AtomIJNS5_17SM90_U32x4_STSM_NENS_6half_tEEEEvEEEvvEEEEvNT_6ParamsE"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 31.169920999999995,
|
||||||
|
"name": "nvjet_tst_320x128_64x3_1x2_h_bz_coopB_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 27.829565000000006,
|
||||||
|
"name": "void flashinfer::trtllm_allreduce_fusion::allreduce_fusion_kernel_oneshot_lamport<(flashinfer::trtllm_allreduce_fusion::AllReduceFusionPattern)1, __nv_bfloat16, 2, true, true>(flashinfer::trtllm_allreduce_fusion::AllReduceFusionParams<__nv_bfloat16>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 24.150314000000005,
|
||||||
|
"name": "nvjet_tst_128x192_64x5_2x1_v_bz_coopB_TNN"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 9.48525,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::expandInputRowsKernel<__nv_bfloat16, __nv_bfloat16, (tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput::FpXBlockScalingType)2, false>(__nv_bfloat16 const*, __nv_bfloat16*, float const*, float*, int const*, long, long, long, float const*, bool, long const*, unsigned char*, unsigned char const*, bool, long, __nv_bfloat16 const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 2.5150810000000003,
|
||||||
|
"name": "void vllm::reshape_and_cache_flash_kernel<__nv_bfloat16, __nv_bfloat16, (vllm::Fp8KVCacheDataType)0>(__nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, long const*, long, long, long, long, long, int, int, int, float const*, float const*, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.9769679999999998,
|
||||||
|
"name": "nvjet_tst_128x128_64x6_1x2_h_bz_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.356286,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::blockExpertPrefixSumKernel<1024>(int const*, int*, int*, long, long, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.1989450000000001,
|
||||||
|
"name": "triton_poi_fused_1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.1752029999999996,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::computeStridesTmaWarpSpecializedKernel<__nv_bfloat16, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16>(long const*, tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput, tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput, long, long, long, long, long, long, long, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16 const*, float const*, float const*, unsigned char const*, unsigned char const*, tensorrt_llm::kernels::cutlass_kernels::QuantParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, int const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.7856679999999999,
|
||||||
|
"name": "void vllm::moe::topkGating<8, 128, 4, 16, 32, int, __nv_bfloat16, (vllm::moe::ScoringFunc)0>(__nv_bfloat16 const*, bool const*, float*, int, int*, int*, int, int, int, bool, float const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.6054410000000001,
|
||||||
|
"name": "triton_red_fused_0"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.264768,
|
||||||
|
"name": "tensorrt_llm::kernels::cutlass_kernels::mergeExpertPrefixSumKernel(int const*, int const*, int const*, int*, int*, int*, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.09404900000000001,
|
||||||
|
"name": "nvjet_tst_512x8_64x3_2x1_v_bz_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.086687,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::globalExpertPrefixSumKernel<1024>(int const*, int*, long*, long, long)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.034815,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor<int>, std::array<char*, 1ul> >(int, at::native::FillFunctor<int>, std::array<char*, 1ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.025472,
|
||||||
|
"name": "triton_poi_fused_2"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.022335999999999998,
|
||||||
|
"name": "triton_poi_fused_0"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.015392,
|
||||||
|
"name": "_compute_slot_mapping_kernel"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.013439999999999999,
|
||||||
|
"name": "triton_red_fused_1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.004256,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, std::array<char*, 2ul>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1> >(int, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, std::array<char*, 2ul>, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.0041600000000000005,
|
||||||
|
"name": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.003072,
|
||||||
|
"name": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001472,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<2, at::native::CUDAFunctor_add<long>, std::array<char*, 3ul> >(int, at::native::CUDAFunctor_add<long>, std::array<char*, 3ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001472,
|
||||||
|
"name": "void flash::prepare_varlen_num_blocks_kernel<1, false>(int, int, int, int const*, int const*, int const*, int const*, int const*, int const*, int, int, int, int, int, cutlass::FastDivmod, cutlass::FastDivmod, int*, int*, int*, int*, int*, bool, bool, bool, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001184,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::FillFunctor<int>, std::array<char*, 1ul>, 4, TrivialOffsetCalculator<0, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast>(int, at::native::FillFunctor<int>, std::array<char*, 1ul>, TrivialOffsetCalculator<0, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.0011200000000000001,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add<int>, std::array<char*, 3ul> >(int, at::native::CUDAFunctor_add<int>, std::array<char*, 3ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.000767,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::CUDAFunctorOnSelf_add<int>, std::array<char*, 2ul>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast>(int, at::native::CUDAFunctorOnSelf_add<int>, std::array<char*, 2ul>, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"non_kernel_gap_ms": 6.056381000000044,
|
||||||
|
"selected_execute_annotation": "execute_context_1(8192)_generation_0(0)",
|
||||||
|
"trace": "runs/frontier-tp2-prefill-serving-v0/fleet-artifacts/tp2-prefill-serving-smoke-20260723-v1-20260723T082454699036Z/artifacts/runs/frontier-tp2-prefill-serving-v0/remote-outputs/tp2-smoke-r1/traces/profile/dp0_pp0_tp0_dcp0_ep0_rank0.1784795312743204872.pt.trace.json.gz"
|
||||||
|
},
|
||||||
|
"ranks": [
|
||||||
|
{
|
||||||
|
"all_execute_windows": [
|
||||||
|
{
|
||||||
|
"duration_ms": 408.19065,
|
||||||
|
"name": "execute_context_1(8192)_generation_0(0)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 5.17557,
|
||||||
|
"name": "execute_context_0(0)_generation_1(1)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"components_ms": {
|
||||||
|
"attention": 99.67212900000001,
|
||||||
|
"collective": 27.829565000000006,
|
||||||
|
"linear_norm_rope": 57.39125199999998,
|
||||||
|
"moe": 214.52378299999995,
|
||||||
|
"other": 1.9318720000000007,
|
||||||
|
"router": 0.7856679999999999
|
||||||
|
},
|
||||||
|
"execute_annotation_histogram": {
|
||||||
|
"execute_context_0(0)_generation_1(1)": 1,
|
||||||
|
"execute_context_1(8192)_generation_0(0)": 1
|
||||||
|
},
|
||||||
|
"execute_wall_ms": 408.19065,
|
||||||
|
"gpu_kernel_busy_ms": 402.13426899999996,
|
||||||
|
"kernel_rows": [
|
||||||
|
{
|
||||||
|
"duration_ms": 122.02009999999999,
|
||||||
|
"name": "void fused_moe::run_global<fused_moe::Fused_Moe_Kernel_sm80<cutlass::bfloat16_t, cutlass::bfloat16_t, cutlass::bfloat16_t, 32, 128, 64, 3, (fused_moe::Activation_Type)3> >(fused_moe::Fused_Moe_Kernel_sm80<cutlass::bfloat16_t, cutlass::bfloat16_t, cutlass::bfloat16_t, 32, 128, 64, 3, (fused_moe::Activation_Type)3>::Params)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 97.15557600000001,
|
||||||
|
"name": "void cutlass::device_kernel<flash::enable_sm90_or_later<flash::FlashAttnFwdSm90<flash::CollectiveMainloopFwdSm90<2, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, 128, cutlass::bfloat16_t, float, cutlass::arch::Sm90, true, false, false, true, true, false, false, true, true, true, false, false, cutlass::bfloat16_t, 8>, flash::CollectiveEpilogueFwd<cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cutlass::bfloat16_t, cutlass::arch::Sm90, 256, true, true, false, false, 8>, flash::VarlenDynamicPersistentTileScheduler<128, 128, 256, 128, false, true, true, true, false, true> > > >(flash::enable_sm90_or_later<flash::FlashAttnFwdSm90<flash::CollectiveMainloopFwdSm90<2, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, 128, cutlass::bfloat16_t, float, cutlass::arch::Sm90, true, false, false, true, true, false, false, true, true, true, false, false, cutlass::bfloat16_t, 8>, flash::CollectiveEpilogueFwd<cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cutlass::bfloat16_t, cutlass::arch::Sm90, 256, true, true, false, false, 8>, flash::VarlenDynamicPersistentTileScheduler<128, 128, 256, 128, false, true, true, true, false, true> > >::Params)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 80.135489,
|
||||||
|
"name": "_ZN7cutlass13device_kernelINS_4gemm6kernel13GemmUniversalINS1_17GroupProblemShapeIN4cute5tupleIJlllEEEEENS1_10collective13CollectiveMmaINS1_39MainloopSm90ArrayTmaGmmaWarpSpecializedILi12ENS6_IJNS5_1CILi1EEESD_SD_EEENS1_43KernelPtrArrayTmaWarpSpecializedCooperativeEEENS6_IJNSC_ILi128EEENSC_ILi16EEENSC_ILi64EEEEEENS_10bfloat16_tEPNS6_IJlSD_NSC_ILi0EEEEEESL_SO_NS5_8TiledMMAINS5_8MMA_AtomIJNS5_4SM904GMMA27MMA_64x16x16_F32BF16BF16_SSILNSS_5MajorE0ELSU_0ELNSS_7ScaleInE1ELSV_1EEEEEENS5_6LayoutINS6_IJNSC_ILi2EEESD_SD_EEENS6_IJSD_SM_SM_EEEEENS6_IJNS5_10UnderscoreES13_S13_EEEEENS5_13SM90_TMA_LOADENS5_14ComposedLayoutINS5_7SwizzleILi3ELi4ELi3EEENS5_18smem_ptr_flag_bitsILi16EEENSY_INS6_IJNSC_ILi8EEESJ_EEENS6_IJSJ_SD_EEEEEEEvNS5_8identityES16_S1G_vS1H_EENS_8epilogue10collective18CollectiveEpilogueINS1J_30Sm90PtrArrayTmaWarpSpecializedILi1ELi1ELi8ELb0ELb0ELi2EEEJSK_NS6_IJSH_SI_EEEvPNS6_IJSD_lSM_EEEvS1Q_NS1J_6fusion15FusionCallbacksIS1N_NS1R_37ScaledAccPerRowBiasPerColScaleScatterINS_6layout11ColumnMajorESL_fSL_ffLi8ELi8ELNS_15FloatRoundStyleE2EEESK_S1O_JNS17_IS19_S1B_NSY_INS6_IJSJ_S1C_EEENS6_IJSD_SJ_EEEEEEENS5_17SM90_U16x8_STSM_TEEEES16_S21_NS5_17SM75_U16x8_LDSM_TENS5_14SM90_TMA_STOREES21_S22_NS5_9Copy_AtomIJNS5_17SM90_U32x4_STSM_NENS_6half_tEEEEvEEEvvEEEEvNT_6ParamsE"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 31.169920999999995,
|
||||||
|
"name": "nvjet_tst_320x128_64x3_1x2_h_bz_coopB_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 27.829565000000006,
|
||||||
|
"name": "void flashinfer::trtllm_allreduce_fusion::allreduce_fusion_kernel_oneshot_lamport<(flashinfer::trtllm_allreduce_fusion::AllReduceFusionPattern)1, __nv_bfloat16, 2, true, true>(flashinfer::trtllm_allreduce_fusion::AllReduceFusionParams<__nv_bfloat16>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 24.150314000000005,
|
||||||
|
"name": "nvjet_tst_128x192_64x5_2x1_v_bz_coopB_TNN"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 9.48525,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::expandInputRowsKernel<__nv_bfloat16, __nv_bfloat16, (tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput::FpXBlockScalingType)2, false>(__nv_bfloat16 const*, __nv_bfloat16*, float const*, float*, int const*, long, long, long, float const*, bool, long const*, unsigned char*, unsigned char const*, bool, long, __nv_bfloat16 const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 2.5150810000000003,
|
||||||
|
"name": "void vllm::reshape_and_cache_flash_kernel<__nv_bfloat16, __nv_bfloat16, (vllm::Fp8KVCacheDataType)0>(__nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, long const*, long, long, long, long, long, int, int, int, float const*, float const*, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.9769679999999998,
|
||||||
|
"name": "nvjet_tst_128x128_64x6_1x2_h_bz_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.356286,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::blockExpertPrefixSumKernel<1024>(int const*, int*, int*, long, long, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.1989450000000001,
|
||||||
|
"name": "triton_poi_fused_1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.1752029999999996,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::computeStridesTmaWarpSpecializedKernel<__nv_bfloat16, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16>(long const*, tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput, tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput, long, long, long, long, long, long, long, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16 const*, float const*, float const*, unsigned char const*, unsigned char const*, tensorrt_llm::kernels::cutlass_kernels::QuantParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, int const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.7856679999999999,
|
||||||
|
"name": "void vllm::moe::topkGating<8, 128, 4, 16, 32, int, __nv_bfloat16, (vllm::moe::ScoringFunc)0>(__nv_bfloat16 const*, bool const*, float*, int, int*, int*, int, int, int, bool, float const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.6054410000000001,
|
||||||
|
"name": "triton_red_fused_0"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.264768,
|
||||||
|
"name": "tensorrt_llm::kernels::cutlass_kernels::mergeExpertPrefixSumKernel(int const*, int const*, int const*, int*, int*, int*, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.09404900000000001,
|
||||||
|
"name": "nvjet_tst_512x8_64x3_2x1_v_bz_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.086687,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::globalExpertPrefixSumKernel<1024>(int const*, int*, long*, long, long)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.034815,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor<int>, std::array<char*, 1ul> >(int, at::native::FillFunctor<int>, std::array<char*, 1ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.025472,
|
||||||
|
"name": "triton_poi_fused_2"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.022335999999999998,
|
||||||
|
"name": "triton_poi_fused_0"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.015392,
|
||||||
|
"name": "_compute_slot_mapping_kernel"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.013439999999999999,
|
||||||
|
"name": "triton_red_fused_1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.004256,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, std::array<char*, 2ul>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1> >(int, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, std::array<char*, 2ul>, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.0041600000000000005,
|
||||||
|
"name": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.003072,
|
||||||
|
"name": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001472,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<2, at::native::CUDAFunctor_add<long>, std::array<char*, 3ul> >(int, at::native::CUDAFunctor_add<long>, std::array<char*, 3ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001472,
|
||||||
|
"name": "void flash::prepare_varlen_num_blocks_kernel<1, false>(int, int, int, int const*, int const*, int const*, int const*, int const*, int const*, int, int, int, int, int, cutlass::FastDivmod, cutlass::FastDivmod, int*, int*, int*, int*, int*, bool, bool, bool, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001184,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::FillFunctor<int>, std::array<char*, 1ul>, 4, TrivialOffsetCalculator<0, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast>(int, at::native::FillFunctor<int>, std::array<char*, 1ul>, TrivialOffsetCalculator<0, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.0011200000000000001,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add<int>, std::array<char*, 3ul> >(int, at::native::CUDAFunctor_add<int>, std::array<char*, 3ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.000767,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::CUDAFunctorOnSelf_add<int>, std::array<char*, 2ul>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast>(int, at::native::CUDAFunctorOnSelf_add<int>, std::array<char*, 2ul>, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"non_kernel_gap_ms": 6.056381000000044,
|
||||||
|
"selected_execute_annotation": "execute_context_1(8192)_generation_0(0)",
|
||||||
|
"trace": "runs/frontier-tp2-prefill-serving-v0/fleet-artifacts/tp2-prefill-serving-smoke-20260723-v1-20260723T082454699036Z/artifacts/runs/frontier-tp2-prefill-serving-v0/remote-outputs/tp2-smoke-r1/traces/profile/dp0_pp0_tp0_dcp0_ep0_rank0.1784795312743204872.pt.trace.json.gz"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"all_execute_windows": [
|
||||||
|
{
|
||||||
|
"duration_ms": 407.337292,
|
||||||
|
"name": "execute_context_1(8192)_generation_0(0)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 5.175196,
|
||||||
|
"name": "execute_context_0(0)_generation_1(1)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"components_ms": {
|
||||||
|
"attention": 99.75531199999998,
|
||||||
|
"collective": 25.666238000000003,
|
||||||
|
"linear_norm_rope": 57.43388800000001,
|
||||||
|
"moe": 214.55563300000009,
|
||||||
|
"other": 1.9427889999999999,
|
||||||
|
"router": 0.7898920000000001
|
||||||
|
},
|
||||||
|
"execute_annotation_histogram": {
|
||||||
|
"execute_context_0(0)_generation_1(1)": 1,
|
||||||
|
"execute_context_1(8192)_generation_0(0)": 1
|
||||||
|
},
|
||||||
|
"execute_wall_ms": 407.337292,
|
||||||
|
"gpu_kernel_busy_ms": 400.14375200000006,
|
||||||
|
"kernel_rows": [
|
||||||
|
{
|
||||||
|
"duration_ms": 122.088157,
|
||||||
|
"name": "void fused_moe::run_global<fused_moe::Fused_Moe_Kernel_sm80<cutlass::bfloat16_t, cutlass::bfloat16_t, cutlass::bfloat16_t, 32, 128, 64, 3, (fused_moe::Activation_Type)3> >(fused_moe::Fused_Moe_Kernel_sm80<cutlass::bfloat16_t, cutlass::bfloat16_t, cutlass::bfloat16_t, 32, 128, 64, 3, (fused_moe::Activation_Type)3>::Params)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 97.24454899999998,
|
||||||
|
"name": "void cutlass::device_kernel<flash::enable_sm90_or_later<flash::FlashAttnFwdSm90<flash::CollectiveMainloopFwdSm90<2, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, 128, cutlass::bfloat16_t, float, cutlass::arch::Sm90, true, false, false, true, true, false, false, true, true, true, false, false, cutlass::bfloat16_t, 8>, flash::CollectiveEpilogueFwd<cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cutlass::bfloat16_t, cutlass::arch::Sm90, 256, true, true, false, false, 8>, flash::VarlenDynamicPersistentTileScheduler<128, 128, 256, 128, false, true, true, true, false, true> > > >(flash::enable_sm90_or_later<flash::FlashAttnFwdSm90<flash::CollectiveMainloopFwdSm90<2, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, 128, cutlass::bfloat16_t, float, cutlass::arch::Sm90, true, false, false, true, true, false, false, true, true, true, false, false, cutlass::bfloat16_t, 8>, flash::CollectiveEpilogueFwd<cute::tuple<cute::C<128>, cute::C<128>, cute::C<128> >, cute::tuple<cute::C<1>, cute::C<1>, cute::C<1> >, cutlass::bfloat16_t, cutlass::arch::Sm90, 256, true, true, false, false, 8>, flash::VarlenDynamicPersistentTileScheduler<128, 128, 256, 128, false, true, true, true, false, true> > >::Params)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 80.12219199999998,
|
||||||
|
"name": "_ZN7cutlass13device_kernelINS_4gemm6kernel13GemmUniversalINS1_17GroupProblemShapeIN4cute5tupleIJlllEEEEENS1_10collective13CollectiveMmaINS1_39MainloopSm90ArrayTmaGmmaWarpSpecializedILi12ENS6_IJNS5_1CILi1EEESD_SD_EEENS1_43KernelPtrArrayTmaWarpSpecializedCooperativeEEENS6_IJNSC_ILi128EEENSC_ILi16EEENSC_ILi64EEEEEENS_10bfloat16_tEPNS6_IJlSD_NSC_ILi0EEEEEESL_SO_NS5_8TiledMMAINS5_8MMA_AtomIJNS5_4SM904GMMA27MMA_64x16x16_F32BF16BF16_SSILNSS_5MajorE0ELSU_0ELNSS_7ScaleInE1ELSV_1EEEEEENS5_6LayoutINS6_IJNSC_ILi2EEESD_SD_EEENS6_IJSD_SM_SM_EEEEENS6_IJNS5_10UnderscoreES13_S13_EEEEENS5_13SM90_TMA_LOADENS5_14ComposedLayoutINS5_7SwizzleILi3ELi4ELi3EEENS5_18smem_ptr_flag_bitsILi16EEENSY_INS6_IJNSC_ILi8EEESJ_EEENS6_IJSJ_SD_EEEEEEEvNS5_8identityES16_S1G_vS1H_EENS_8epilogue10collective18CollectiveEpilogueINS1J_30Sm90PtrArrayTmaWarpSpecializedILi1ELi1ELi8ELb0ELb0ELi2EEEJSK_NS6_IJSH_SI_EEEvPNS6_IJSD_lSM_EEEvS1Q_NS1J_6fusion15FusionCallbacksIS1N_NS1R_37ScaledAccPerRowBiasPerColScaleScatterINS_6layout11ColumnMajorESL_fSL_ffLi8ELi8ELNS_15FloatRoundStyleE2EEESK_S1O_JNS17_IS19_S1B_NSY_INS6_IJSJ_S1C_EEENS6_IJSD_SJ_EEEEEEENS5_17SM90_U16x8_STSM_TEEEES16_S21_NS5_17SM75_U16x8_LDSM_TENS5_14SM90_TMA_STOREES21_S22_NS5_9Copy_AtomIJNS5_17SM90_U32x4_STSM_NENS_6half_tEEEEvEEEvvEEEEvNT_6ParamsE"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 31.199706,
|
||||||
|
"name": "nvjet_tst_320x128_64x3_1x2_h_bz_coopB_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 25.666238000000003,
|
||||||
|
"name": "void flashinfer::trtllm_allreduce_fusion::allreduce_fusion_kernel_oneshot_lamport<(flashinfer::trtllm_allreduce_fusion::AllReduceFusionPattern)1, __nv_bfloat16, 2, true, true>(flashinfer::trtllm_allreduce_fusion::AllReduceFusionParams<__nv_bfloat16>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 24.162201000000007,
|
||||||
|
"name": "nvjet_tst_128x192_64x5_2x1_v_bz_coopB_TNN"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 9.475503000000002,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::expandInputRowsKernel<__nv_bfloat16, __nv_bfloat16, (tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput::FpXBlockScalingType)2, false>(__nv_bfloat16 const*, __nv_bfloat16*, float const*, float*, int const*, long, long, long, float const*, bool, long const*, unsigned char*, unsigned char const*, bool, long, __nv_bfloat16 const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 2.5092910000000006,
|
||||||
|
"name": "void vllm::reshape_and_cache_flash_kernel<__nv_bfloat16, __nv_bfloat16, (vllm::Fp8KVCacheDataType)0>(__nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, long const*, long, long, long, long, long, int, int, int, float const*, float const*, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.9775490000000004,
|
||||||
|
"name": "nvjet_tst_128x128_64x6_1x2_h_bz_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.3556549999999998,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::blockExpertPrefixSumKernel<1024>(int const*, int*, int*, long, long, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.2008649999999996,
|
||||||
|
"name": "triton_poi_fused_1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 1.164903,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::computeStridesTmaWarpSpecializedKernel<__nv_bfloat16, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16>(long const*, tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput, tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput, long, long, long, long, long, long, long, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16 const*, float const*, float const*, unsigned char const*, unsigned char const*, tensorrt_llm::kernels::cutlass_kernels::QuantParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, int const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.7898920000000001,
|
||||||
|
"name": "void vllm::moe::topkGating<8, 128, 4, 16, 32, int, __nv_bfloat16, (vllm::moe::ScoringFunc)0>(__nv_bfloat16 const*, bool const*, float*, int, int*, int*, int, int, int, bool, float const*)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.6094719999999998,
|
||||||
|
"name": "triton_red_fused_0"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.2641649999999999,
|
||||||
|
"name": "tensorrt_llm::kernels::cutlass_kernels::mergeExpertPrefixSumKernel(int const*, int const*, int const*, int*, int*, int*, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.094432,
|
||||||
|
"name": "nvjet_tst_512x8_64x3_2x1_v_bz_TNT"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.08505799999999997,
|
||||||
|
"name": "void tensorrt_llm::kernels::cutlass_kernels::globalExpertPrefixSumKernel<1024>(int const*, int*, long*, long, long)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.034820000000000004,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor<int>, std::array<char*, 1ul> >(int, at::native::FillFunctor<int>, std::array<char*, 1ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.027615999999999998,
|
||||||
|
"name": "triton_poi_fused_0"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.025792000000000002,
|
||||||
|
"name": "triton_poi_fused_2"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.015392,
|
||||||
|
"name": "_compute_slot_mapping_kernel"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.012928,
|
||||||
|
"name": "triton_red_fused_1"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.004096,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, std::array<char*, 2ul>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1> >(int, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, std::array<char*, 2ul>, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.004,
|
||||||
|
"name": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<4> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.003328,
|
||||||
|
"name": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel<at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>, at::native::index_kernel_impl<at::native::OpaqueType<2> >(at::TensorIteratorBase&, c10::ArrayRef<long>, c10::ArrayRef<long>)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001472,
|
||||||
|
"name": "void flash::prepare_varlen_num_blocks_kernel<1, false>(int, int, int, int const*, int const*, int const*, int const*, int const*, int const*, int, int, int, int, int, cutlass::FastDivmod, cutlass::FastDivmod, int*, int*, int*, int*, int*, bool, bool, bool, int)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001312,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<2, at::native::CUDAFunctor_add<long>, std::array<char*, 3ul> >(int, at::native::CUDAFunctor_add<long>, std::array<char*, 3ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001184,
|
||||||
|
"name": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add<int>, std::array<char*, 3ul> >(int, at::native::CUDAFunctor_add<int>, std::array<char*, 3ul>)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.001184,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::FillFunctor<int>, std::array<char*, 1ul>, 4, TrivialOffsetCalculator<0, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast>(int, at::native::FillFunctor<int>, std::array<char*, 1ul>, TrivialOffsetCalculator<0, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast)"
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"duration_ms": 0.0008,
|
||||||
|
"name": "void at::native::unrolled_elementwise_kernel<at::native::CUDAFunctorOnSelf_add<int>, std::array<char*, 2ul>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast>(int, at::native::CUDAFunctorOnSelf_add<int>, std::array<char*, 2ul>, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithoutCast, at::native::memory::StoreWithoutCast)"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"non_kernel_gap_ms": 7.193539999999928,
|
||||||
|
"selected_execute_annotation": "execute_context_1(8192)_generation_0(0)",
|
||||||
|
"trace": "runs/frontier-tp2-prefill-serving-v0/fleet-artifacts/tp2-prefill-serving-smoke-20260723-v1-20260723T082454699036Z/artifacts/runs/frontier-tp2-prefill-serving-v0/remote-outputs/tp2-smoke-r1/traces/profile/dp0_pp0_tp1_dcp0_ep1_rank1.1784795312743314215.pt.trace.json.gz"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"schema": "frontier-tp2-prefill-serving-smoke.v1"
|
||||||
|
}
|
||||||
147
runs/frontier-tp2-prefill-serving-v0/run_replay.py
Normal file
147
runs/frontier-tp2-prefill-serving-v0/run_replay.py
Normal file
@@ -0,0 +1,147 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
"""Replay one TP2 trace with structured attention and measured prefill MoE."""
|
||||||
|
|
||||||
|
from __future__ import annotations
|
||||||
|
|
||||||
|
import argparse
|
||||||
|
import importlib.util
|
||||||
|
import json
|
||||||
|
import subprocess
|
||||||
|
import sys
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
ROOT = Path(__file__).resolve().parent
|
||||||
|
REPO = ROOT.parents[1]
|
||||||
|
S3_REAL = REPO / "runs/frontier-s3-real-v0"
|
||||||
|
BASE_REFERENCE = (
|
||||||
|
REPO
|
||||||
|
/ "runs/frontier-collective-joint-v0/counterfactual/joint-r2/manifest.json"
|
||||||
|
)
|
||||||
|
BASE_COMMIT = "deadc4a321f0baaa534c6ebd17f974123733cdc2"
|
||||||
|
EXPERIMENT_COMMIT = "1f8900a4ac64e45754b03d0aa7c1dddab65785cf"
|
||||||
|
ATTENTION_PATCH = (
|
||||||
|
REPO
|
||||||
|
/ "runs/frontier-attn-structured-v0/"
|
||||||
|
"0001-Experiment-with-structured-attention-prefill-predict.patch"
|
||||||
|
)
|
||||||
|
VERDICT = ROOT / "results/serving-smoke-verdict.json"
|
||||||
|
|
||||||
|
|
||||||
|
def load_s3_module():
|
||||||
|
spec = importlib.util.spec_from_file_location(
|
||||||
|
"s3_prefix_replay", S3_REAL / "run_frontier_prefix_replay.py"
|
||||||
|
)
|
||||||
|
module = importlib.util.module_from_spec(spec)
|
||||||
|
sys.path.insert(0, str(S3_REAL))
|
||||||
|
spec.loader.exec_module(module)
|
||||||
|
return module
|
||||||
|
|
||||||
|
|
||||||
|
def git(checkout: Path, *args: str) -> str:
|
||||||
|
return subprocess.check_output(
|
||||||
|
["git", "-C", str(checkout), *args], text=True
|
||||||
|
).strip()
|
||||||
|
|
||||||
|
|
||||||
|
def main() -> None:
|
||||||
|
parser = argparse.ArgumentParser()
|
||||||
|
parser.add_argument("--trace", type=Path, required=True)
|
||||||
|
parser.add_argument("--output-root", type=Path, required=True)
|
||||||
|
parser.add_argument("--label", required=True)
|
||||||
|
parser.add_argument("--max-tokens", type=int, required=True)
|
||||||
|
parser.add_argument("--duration-s", type=float)
|
||||||
|
parser.add_argument("--cache-root", type=Path, required=True)
|
||||||
|
parser.add_argument(
|
||||||
|
"--frontier-checkout",
|
||||||
|
type=Path,
|
||||||
|
default=Path("/tmp/frontier-attn-structured-v0"),
|
||||||
|
)
|
||||||
|
parser.add_argument(
|
||||||
|
"--attention-profile",
|
||||||
|
type=Path,
|
||||||
|
default=REPO
|
||||||
|
/ "runs/frontier-prefill-kvgrowth-fix-v0/profiles/"
|
||||||
|
"profile-v5-kvgrowth/attention.csv",
|
||||||
|
)
|
||||||
|
args = parser.parse_args()
|
||||||
|
args.config = "tp2_mns16"
|
||||||
|
|
||||||
|
frontier = args.frontier_checkout.resolve()
|
||||||
|
profile = args.attention_profile.resolve()
|
||||||
|
if git(frontier, "rev-parse", "HEAD") != EXPERIMENT_COMMIT:
|
||||||
|
raise SystemExit(f"unexpected experiment checkout HEAD: {frontier}")
|
||||||
|
if git(frontier, "rev-parse", "HEAD^") != BASE_COMMIT:
|
||||||
|
raise SystemExit("experiment commit is not directly based on frozen Frontier")
|
||||||
|
if git(frontier, "status", "--porcelain"):
|
||||||
|
raise SystemExit("experiment Frontier checkout must be clean")
|
||||||
|
if not profile.is_file():
|
||||||
|
raise SystemExit(f"attention profile missing: {profile}")
|
||||||
|
|
||||||
|
smoke = json.loads(VERDICT.read_text())
|
||||||
|
moe_scale = float(smoke["counterfactual"]["moe_scale"])
|
||||||
|
reference = json.loads(BASE_REFERENCE.read_text())
|
||||||
|
reference["frontier_checkout"] = str(frontier)
|
||||||
|
reference["frontier_commit"] = EXPERIMENT_COMMIT
|
||||||
|
generated_reference = ROOT / "frontier-reference.json"
|
||||||
|
generated_reference.write_text(json.dumps(reference, indent=2))
|
||||||
|
|
||||||
|
module = load_s3_module()
|
||||||
|
module.REFERENCE = generated_reference
|
||||||
|
module.EXPECTED_FRONTIER_COMMIT = EXPERIMENT_COMMIT
|
||||||
|
original_replace = module.replace_flag
|
||||||
|
injection_added = False
|
||||||
|
|
||||||
|
def replace_and_override(argv: list[str], flag: str, value: str) -> None:
|
||||||
|
nonlocal injection_added
|
||||||
|
original_replace(argv, flag, value)
|
||||||
|
if flag.endswith("trace_file"):
|
||||||
|
attention_flag = (
|
||||||
|
"--random_forrest_execution_time_predictor_config_atten_input_file"
|
||||||
|
)
|
||||||
|
original_replace(argv, attention_flag, str(profile))
|
||||||
|
no_cache = (
|
||||||
|
"--random_forrest_execution_time_predictor_config_no_cache"
|
||||||
|
)
|
||||||
|
if no_cache in argv:
|
||||||
|
argv.remove(no_cache)
|
||||||
|
if not injection_added:
|
||||||
|
argv.extend(
|
||||||
|
(
|
||||||
|
"--random_forrest_execution_time_predictor_config_"
|
||||||
|
"moe_grouped_gemm_calibration_scale",
|
||||||
|
str(moe_scale),
|
||||||
|
"--random_forrest_execution_time_predictor_config_"
|
||||||
|
"decode_phase_moe_grouped_gemm_calibration_scale",
|
||||||
|
"1.0",
|
||||||
|
)
|
||||||
|
)
|
||||||
|
injection_added = True
|
||||||
|
|
||||||
|
module.replace_flag = replace_and_override
|
||||||
|
module.parse_args = lambda: args
|
||||||
|
module.main()
|
||||||
|
|
||||||
|
manifest_path = args.output_root / "manifest.json"
|
||||||
|
manifest = json.loads(manifest_path.read_text())
|
||||||
|
manifest.update(
|
||||||
|
{
|
||||||
|
"schema": "frontier-tp2-prefill-serving-replay-v1",
|
||||||
|
"frontier_base_commit": BASE_COMMIT,
|
||||||
|
"frontier_experiment_commit": EXPERIMENT_COMMIT,
|
||||||
|
"structured_attention_patch": str(ATTENTION_PATCH.resolve()),
|
||||||
|
"structured_attention_patch_sha256": module.sha256(ATTENTION_PATCH),
|
||||||
|
"attention_profile_override": str(profile),
|
||||||
|
"attention_profile_sha256": module.sha256(profile),
|
||||||
|
"prefill_moe_grouped_gemm_scale": moe_scale,
|
||||||
|
"decode_phase_moe_grouped_gemm_scale": 1.0,
|
||||||
|
"moe_scale_source": str(VERDICT.resolve()),
|
||||||
|
"moe_scale_source_sha256": module.sha256(VERDICT),
|
||||||
|
"model_cache_enabled": True,
|
||||||
|
}
|
||||||
|
)
|
||||||
|
manifest_path.write_text(json.dumps(manifest, indent=2))
|
||||||
|
print(f"TP2 prefill-MoE replay done: {args.output_root}")
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
Reference in New Issue
Block a user