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[https://nvbugs/6843484][fix] Keep multi-node aggregated perf-sanity jobs in one NVLink domain; cherry-pick #20000 to release/1.3 - #20292
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…ore each perf-sanity attempt (NVIDIA#20000) Co-authored-by: Claude <noreply@anthropic.com> (cherry picked from commit 553989e) Signed-off-by: chenfeiz0326 <203214996+chenfeiz0326@users.noreply.github.com>
…jobs in one NVLink domain
The aggregated multi-node perf-sanity stages (PerfSanity-Node2-GPU8 and the
gen_only_no_context PerfSanity-GEN1-NODE{2,4,8} stages) were submitted without
--segment, so Slurm could spread one EP16/EP32 job across several NVL72 racks.
Across racks the wide-EP MoE all-to-all cannot map MNNVL memory, so the
communication factory falls back to NcclEP, which then crashes in NCCL GIN
context creation or stalls until the idle-GPU reaper cancels the job.
Request --segment=<nodeCount> for these stages, the same way the
Disagg-PerfSanity and SingleNvlinkDomain stages already do.
Co-authored-by: Claude <noreply@anthropic.com>
Signed-off-by: chenfeiz0326 <203214996+chenfeiz0326@users.noreply.github.com>
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/bot run --disable-fail-fast --stage-list "GB200-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1,GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1,GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-2,GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-1,GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-2,GB300-12_GPUs-3_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1" |
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PR_Github #77811 [ run ] triggered by Bot. Commit: |
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Actionable comments posted: 1
- 🪄 Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @jenkins/scripts/perf/disaggregated/slurm_launch_draft.sh:
- Around line 12-13: Update the `testOutputDir` coordination and cleanup paths
so concurrent jobs cannot share or delete one another’s files: make the
directory job-private, or include `SLURM_JOB_ID` in the `hostnames-*` and
`benchmark_status.*.txt` paths and restrict cleanup to the current job’s files.
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📒 Files selected for processing: 5
jenkins/L0_Test.groovyjenkins/scripts/perf/disaggregated/slurm_launch_draft.shtests/integration/defs/perf/test_perf_sanity.pytests/scripts/perf-sanity/disaggregated/gb300_deepseek-r1-fp4_128k8k_con256_ctx1_pp4_gen1_dep8_eplb0_mtp1_ccb-NIXL.yamltests/scripts/perf/disaggregated/gb300_deepseek-r1-fp4_128k8k_con256_ctx1_pp4_gen1_dep8_eplb0_mtp1_ccb-NIXL.yaml
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PR_Github #77811 [ run ] completed with state
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Validated the Case: Setup, matching CI
With Those two earlier attempts were setup issues on my side, unrelated to the fix. One stalled in a 23 GB registry pull on 2 of the 4 nodes. The other used the standalone 🤖 Generated with Claude Code |
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@ZhanruiSunCh @Shixiaowei02: requesting your review, since you approved #20000 on main. This is the release/1.3 fix for NVBug 6843484 (P0 for 1.3.0). It has two commits:
Owner coverage: |
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/bot run --disable-fail-fast --stage-list "GB200-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1,GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1,GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-2,GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-1,GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-2,GB300-12_GPUs-3_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1" |
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PR_Github #78161 [ run ] triggered by Bot. Commit: |
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PR_Github #78161 [ run ] completed with state
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Thanks @chienchunhung! That approval covers the @tburt-nv: adding you for the
The evidence and GPU validation are in the description and the comments above. CI #262 is green up to the multi-GPU stages, which need the approval label. |
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Automatically added "ci: full pre-merge approved" because this PR has satisfied the required GitHub review approvals. Unresolved review conversations and other required checks remain independent merge requirements. |
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/bot run --disable-fail-fast --stage-list "GB200-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1,GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1,GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-2,GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-1,GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-2,GB300-12_GPUs-3_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1" |
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Thanks @chzblych and @chienchunhung! With the label applied, I've re-run the six affected stages: the five |
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PR_Github #78313 [ run ] triggered by Bot. Commit: |
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PR_Github #78313 [ run ] completed with state
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CI #78313 (pipeline #282). Every job was submitted with
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/bot run --disable-fail-fast |
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PR_Github #78367 [ run ] triggered by Bot. Commit: |
…gment-release-1.3 Signed-off-by: chenfeiz0326 <203214996+chenfeiz0326@users.noreply.github.com>
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Full pre-merge pipeline #290: none of the failures come from this PR's files.
Pre-merge CI tests the PR head as-is, so I merged the current |
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/bot run --disable-fail-fast |
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PR_Github #78438 [ run ] triggered by Bot. Commit: |
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PR_Github #78367 [ run ] completed with state |
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PR_Github #78438 [ run ] completed with state
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Full pre-merge pipeline #297 on
All other x86 single-GPU stages passed. Re-running on the same commit; CI reuses the stages that already passed. |
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/bot run --disable-fail-fast |
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PR_Github #78481 [ run ] triggered by Bot. Commit: |
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PR_Github #78481 [ run ] completed with state |
Description
Fixes the perf-sanity failures from NVBugs 6843483, 6843484 and 6843490 that still fail in the latest
release/1.3post-merge (#29).These bugs were filed against
mainpost-merge #2987, #2989 and #2990. Three groups of failures are already fixed and are not part of this PR:gen_only_no_contextQwen3-235B cases (Benchmark output contains N failed requests, i.e.No 0 servers available). Fixed by [https://nvbugs/6843918][fix] Fix gen_only perf-sanity metric bucket, gonc gen-only env, and unwaive fixed cases #19700 / [https://nvbugs/6843918][fix] Cherry-pick #19700, #19697, #19692 to release/1.3: perf-sanity gen_only metric/env fixes, orphaned perf worker cleanup, DSv4 FP8 startup timeout #19965. They pass onrelease/1.3Can we install TensorRT-LLM without docker? #22–Tactic running out of memory during Code Llama 34B build #29 andmainchore: Deprecate model_api examples #2999–fix: creating output of dataset generator in current directory #3018.gb300_deepseek-v4-pro-dspark_agentx_con1156). It is not fixed: it is waived under nvbugs/6877254, which is tracked separately. Onrelease/1.3the stage is green only because CI mergesmain's waive list into the branch's, and the case is skipped.gen_onlytimeout, which passes onrelease/1.3Speed compare with vllm? #24–Tactic running out of memory during Code Llama 34B build #29.Two root causes remain on
release/1.3, one per commit.1. Multi-node aggregated perf-sanity stages are not kept inside one NVLink domain
Affected stages:
GB200-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-{1,2}GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-{1,2}The cases are
gen_only_no_contextDeepSeek-R1 con4096 dep16, DeepSeek-V4-Pro con666 dep16 / con180 dep32, and GLM-5 con512 dep32. In the bugs they appear asncclGinGdakiCreateContext ... failed: 2,no new log output for 7201s, orCANCELLED by 146504(the idle-GPU reaper).What happens.
runLLMTestlistWithSbatchadds--segment=<nodeCount>only forDisagg-PerfSanityandSingleNvlinkDomainstages.aggMultiNodeMode) get no segment, so Slurm can spread one EP16/EP32 job over several NVL72 racks. On oci-hsg, oci-jhb and oci-aga,topology/blockuses 18-node blocks, one per rack.NVLinkOneSidedandNVLinkTwoSidedfail withCUDA_ERROR_INVALID_HANDLE(MNNVL memory cannot be mapped). The MoE communication factory then falls back toNcclEP.NcclEPthe case crashes in NCCL GIN context creation (ncclGinGdakiCreateContext ... failed: 2,nccl_ep.cc:2130) or inNCCL-EP NVFP4 dispatch requires uint8 tokens. Otherwise it stalls with idle GPUs until the reaper or the 2 h no-output watchdog cancels it.Evidence: Slurm nodelist vs. outcome for these 5 stages. Nodelists come from the stage logs of
release/1.3#20–#29 andmain#3009–#3017. Builds whose logs have expired or that hit the #3009 DNS outage are excluded.release/1.3Can we install TensorRT-LLM without docker? #22/ERROR: This container was built for NVIDIA Driver Release 535.86 or later, compatibility mode is UNAVAILABLE. #23/Speed compare with vllm? #24/Tactic running out of memory during Code Llama 34B build #29, each time on one rack. It failed on Main doc fix #20/Will this repo support A10 in the future? #26/a error when build tensorrt_llm #28, each time on two.release/1.3Tactic running out of memory during Code Llama 34B build #29,nvl72175-T[06,08-10]):NVLinkOneSidedon all ranks, novia NETlinks.mainfix: segfault in cudaDriverWrapper #3017,nvl72138-T[12,15],nvl72057-T[08,11]):NVLinkOneSided not available: CUDA_ERROR_INVALID_HANDLE, thenNcclEP.Disagg-PerfSanitystages, which already pass--segment, landed in one rack in 152/152 runs, up to 14 nodes.Fix.
--segment=<nodeCount>is now also requested inaggMultiNodeMode, the same as forDisagg-PerfSanityandSingleNvlinkDomain. This one-line change injenkins/L0_Test.groovyaffects only multi-node stages whose name containsPerfSanity; every such stage is ≤ 8 nodes, well under the 18-node block size.2. Cherry-pick #20000: stale disagg rendezvous files and the CI no-output watchdog
Affected stage:
GB300-12_GPUs-3_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1, casedisagg_upload-e2e-gb300_deepseek-r1-fp4_128k8k_con256_ctx1_pp4_gen1_dep8_eplb0_mtp1_ccb-NIXL.release/1.3it has failed in every build in the reports I fetched (Speed compare with vllm? #24/Will this repo support A10 in the future? #26/a error when build tensorrt_llm #28/Tactic running out of memory during Code Llama 34B build #29) withno new log output for 7201s ... Cancelling it. In Tactic running out of memory during Code Llama 34B build #29, the precheck passed and the benchmark started at 13:04. The job log then stayed at 158,646 bytes until the watchdog cancelled it at 15:09.main:multi_round3 → 2 for this case;hostnames-*/benchmark_status.*.txtbefore each attempt.mainhas uploaded this case in feat: add conditional disaggregation test #3012, feat : reduce trt engine build time in testing #3014, chore: Refactor imports inside tensorrt_llm._torch. #3015 and chore: Improve trtllm-serve import pattern #3016.release/1.3has never uploaded it.slurm_launch_draft.shandtest_perf_sanity.pyare byte-identical tomainat [https://nvbugs/6718911][fix] Fix stale disagg rendezvous after requeue and CI watchdog cancelling long perf-sanity runs #20000, and both case YAMLs are identical tomain.Test Coverage
GB200-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-1GB300-16_GPUs-4_Nodes-PyTorch-PerfSanity-GEN1-NODE4-GPU16-Post-Merge-2GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-1GB300-32_GPUs-8_Nodes-PyTorch-PerfSanity-GEN1-NODE8-GPU32-Post-Merge-2GB300-12_GPUs-3_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1aggr_upload-gen_only_no_context-gb300_deepseek-r1-fp4_8k1k_con4096_ctx1_dep4_gen1_dep16_eplb0_mtp1_ccb-NIXLstays waived under nvbugs/6912139 in this PR. It can be unwaived once these stages are green.pre-commitpasses on the changed files.PR Checklist
🤖 Generated with Claude Code
Dev Engineer Review
jenkins/L0_Test.groovynow enables--segment=${nodeCount}for aggregated multi-node PerfSanity stages, in addition to disaggregated and SingleNvlinkDomain stages. The change targets keeping these Slurm jobs within one NVLink domain.slurm_launch_draft.shremoves stale hostname and benchmark-status files before a run. It prints a benchmark-log heartbeat every 600 seconds and stops the heartbeat after the benchmark completes or fails.multi_roundfrom 3 to 2. The integration-test changes document cleanup and retry assumptions without changing test behavior.pre-commitpasses, but provides no results from rerunning the requested stages. Review finding counts are unavailable.QA Engineer Review
tests/integration/defs/perf/test_perf_sanity.pyand two GB300 DeepSeek-R1 benchmark configuration files. The test-selector entries for the affected case are present in bothtests/integration/test_lists/test-db/andtests/integration/test_lists/qa/.Per-File QA Perspective
jenkins/L0_Test.groovy: Verify that aggregated multi-node PerfSanity stages receive--segment=${nodeCount}and that the option is limited to the intended modes.jenkins/scripts/perf/disaggregated/slurm_launch_draft.sh: Verify stale-file cleanup, heartbeat output during long runs, heartbeat shutdown, and failure cleanup.tests/integration/defs/perf/test_perf_sanity.py: The comments describe hostname cleanup and retry assumptions. The related test selector appears in the QA and test-db lists.tests/scripts/perf-sanity/disaggregated/gb300_deepseek-r1-fp4_128k8k_con256_ctx1_pp4_gen1_dep8_eplb0_mtp1_ccb-NIXL.yaml: Verify that settingmulti_roundto 2 retains the intended perf-sanity coverage.tests/scripts/perf/disaggregated/gb300_deepseek-r1-fp4_128k8k_con256_ctx1_pp4_gen1_dep8_eplb0_mtp1_ccb-NIXL.yaml: Verify that settingmulti_roundto 2 retains the intended benchmark coverage.