[None][test] Add DeepSeek-V4-Pro perf sanity cases on GB300 by chenfeiz0326 · Pull Request #16540 · NVIDIA/TensorRT-LLM

chenfeiz0326 · 2026-07-17T09:01:23Z

Summary

Add four end-to-end DeepSeek-V4-Pro (FP4, 1.6T MoE) disaggregated perf-sanity cases on GB300, covering the concurrency sweep:

Case	Concurrency	Shape (ctx × TP + gen × TP)	Nodes / GPUs	MoE backend (gen)	MTP
con8	8	1×dep4 + 4×tep8	9 / 36	TRTLLM	3
con180	180	3×dep4 + 1×dep32	11 / 44	MEGAMOE_DEEPGEMM	3
con666	666	6×dep4 + 1×dep16	10 / 40	MEGAMOE_DEEPGEMM	3
con4301	4,301	12×dep4 + 1×dep8	14 / 56	MEGAMOE_DEEPGEMM	1

Each config runs in three test modes (aggr_upload-ctx_only-, disagg_upload-gen_only-, disagg_upload-e2e-*), so this PR ends up with 4 aggregated + 8 multi-node stages.

What's in this PR

New yaml schema keys (backward-compatible) — environment.ctx_worker_env_var and environment.gen_worker_env_var — merged with the shared environment.worker_env_var in test_perf_sanity.py and both submit scripts (jenkins/scripts/perf/{,local/}submit.py). Existing yamls with only worker_env_var are unaffected. Used by these configs to apply PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True on the ctx worker only (long-prompt path).

4 new disagg configs under tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_*.yaml. Use `<dataset_file>` placeholder → random synthetic dataset at runtime (mirrors GLM-5 perf-sanity pattern).

Model registration — deepseek_v4_pro_fp4 → DeepSeek-V4-Pro in tests/integration/defs/perf/_model_paths.py.

In-repo MoE load-balancer yamls — tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_{ctx_ep4_384, gen_ep{4,8,16,32}_slots{384,416}}.yaml (nine files, cherry-picked from ibc/bench-trtllm-disagg) so CI doesn't need external filesystem access. test_perf_sanity.py's generate_extra_llm_api_config now resolves relative moe_config.load_balancer paths against get_llm_root().

Test-db entries — 4 new l0_gb300_multi_nodes_perf_sanity_ctx{1,3,6,12}_node1_gpu4_gen*_node*_gpu*.yml (each holding one e2e + one gen_only), plus 4 new aggr_upload-ctx_only-* entries in l0_gb300_multi_gpus_perf_sanity.yml (split bumped 3 → 4).

Jenkins wiring — 4 new buildStageConfigs blocks in the GB300 disagg section of L0_Test.groovy (9, 10, 11, 14 nodes).

Test plan

Case 1 (con8, 9 nodes) e2e smoke test on OCI-AGA GB300 — verify install + benchmark end-to-end
Case 2 (con180, 11 nodes) e2e run
Case 3 (con666, 10 nodes) e2e run
Case 4 (con4301, 14 nodes) e2e run
Confirm PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True lands in CTX_WORKER_ENV_VARS but NOT in GEN_WORKER_ENV_VARS in generated slurm_launch.sh (validated locally against a DSv3.2 yaml to confirm backward compat)
gen_only + ctx_only mode runs (deferred to follow-up)

Notes

Local run scripts require absolute paths for --run-sh / --install-sh (relative paths break because the container CWD is the outputs dir, not the repo root).
GB300 build: slurm_install.sh currently hard-codes --cuda_architectures '100-real' (GB200). GB300 needs 103-real. Not fixed in this PR; recommend a follow-up that reads the target arch from yaml metadata.supported_gpus.

Summary by CodeRabbit

New Features
- Added DeepSeek-V4-Pro FP4 performance sanity coverage for GB300 systems.
- Added disaggregated context/generation benchmark configurations across 36-, 40-, 44-, and 56-GPU setups.
- Added role-specific environment settings for context and generation workers.
- Added support for DeepSeek-V4-Pro model discovery and MoE load-balancer configurations.
Bug Fixes
- Improved model-path handling for relative load-balancer configuration paths.
- Expanded GB300 post-merge test coverage and split scheduling.

coderabbitai · 2026-07-17T09:09:17Z

📝 Walkthrough

Walkthrough

Adds role-specific context/generation environment handling, a DeepSeek-V4-Pro model mapping, GB300 disaggregated PerfSanity workloads, post-merge scheduling entries, and fixed MoE load-balancer assignment configurations.

Changes

GB300 PerfSanity

Layer / File(s)	Summary
Role-specific worker environments `jenkins/scripts/perf/*.py`, `tests/integration/defs/perf/test_perf_sanity.py`	Environment configuration now produces separate context and generation worker values, applies them to `ServerConfig`, and uses them in disaggregated launch scripts. Relative MoE load-balancer paths are normalized against the model root.
Benchmark model and workload definitions `tests/integration/defs/perf/_model_paths.py`, `tests/scripts/perf-sanity/disaggregated/gb300_*`	Adds the DeepSeek-V4-Pro model mapping and four GB300 benchmark definitions with topology, runtime, NIXL, speculative decoding, and role-specific worker settings.
Integration and post-merge scheduling `tests/integration/test_lists/test-db/l0_gb300_*`, `jenkins/L0_Test.groovy`	Registers ctx-only and multi-node tests for 36, 40, 44, and 56 GPU layouts, and expands the GB300 post-merge stage split matrix.
MoE load-balancer assignment data `tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/*`	Adds initial assignment mappings for context and generation EPLB configurations with 384- or 416-slot domains and zero update iterations.

Estimated code review effort: 3 (Moderate) | ~30 minutes

Sequence Diagram(s)

sequenceDiagram
  participant DisaggYAML
  participant PerfSanityTestConfig
  participant ServerConfig
  participant submit_py
  DisaggYAML->>PerfSanityTestConfig: provide shared and role-specific environment values
  PerfSanityTestConfig->>ServerConfig: assign context and generation environments
  submit_py->>submit_py: compose role-specific launch prefixes
  submit_py->>ServerConfig: generate disaggregated worker launch environments

Possibly related PRs

NVIDIA/TensorRT-LLM#10912: Both changes expand disaggregated PerfSanity post-merge stage configurations in jenkins/L0_Test.groovy.

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Docstring Coverage	✅ Passed	Docstring coverage is 80.00% which is sufficient. The required threshold is 80.00%.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Title check	✅ Passed	The title is concise and accurately summarizes the main change: adding DeepSeek-V4-Pro perf sanity cases on GB300.
Description check	✅ Passed	The description is mostly complete, with a clear summary, implementation details, test plan, and notes; the checklist section is the main omission.

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coderabbitai

Actionable comments posted: 4

🤖 Prompt for all review comments with AI agents

Verify each finding against current code. Fix only still-valid issues, skip the
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Inline comments:
In `@jenkins/L0_Test.groovy`:
- Around line 4963-4966: Update the stage-name performance checks in both the
x86 and SBSA Slurm job closures to recognize names containing “-PerfSanity-” as
performance tests alongside the existing “-Perf-” condition. Ensure the
resulting perfMode passed to runLLMTestlistOnSlurm is true for these stages so
the --perf workflow is preserved.

In `@jenkins/scripts/perf/submit.py`:
- Around line 538-541: Update the base_prefix construction to remove the
unnecessary f-string prefixes while preserving the generated shell variable
syntax. Convert the doubled braces around SLURM_LOCALID to literal braces so the
resulting command still contains ${SLURM_LOCALID} and satisfies Ruff F541.

In
`@tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx12_node1_gpu4_gen1_node2_gpu8.yml`:
- Around line 1-2: Add the repository’s standard NVIDIA copyright header at the
beginning of the YAML file, before the version declaration. Preserve the
existing version and configuration key unchanged.

In
`@tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con8_ctx1_dep4_gen4_tep8_eplb0_mtp3_ccb-NIXL.yaml`:
- Around line 1-2: Add the repository-standard NVIDIA copyright header at the
beginning of each new YAML file:
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con8_ctx1_dep4_gen4_tep8_eplb0_mtp3_ccb-NIXL.yaml
(lines 1-2),
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con4301_ctx12_dep4_gen1_dep8_eplb384_mtp1_ccb-NIXL.yaml
(lines 1-2),
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con666_ctx6_dep4_gen1_dep16_eplb384_mtp3_ccb-NIXL.yaml
(lines 1-2),
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con180_ctx3_dep4_gen1_dep32_eplb384_mtp3_ccb-NIXL.yaml
(lines 1-2),
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx1_node1_gpu4_gen4_node2_gpu8.yml
(lines 1-2),
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx6_node1_gpu4_gen1_node4_gpu16.yml
(lines 1-2), and
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx3_node1_gpu4_gen1_node8_gpu32.yml
(lines 1-2), while preserving each file’s existing YAML content.

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Push a commit to this branch (recommended)
Create a new PR with the fixes

ℹ️ Review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Enterprise

Run ID: 8e14155b-d131-457e-95ad-9d4ac5ac36da

📥 Commits

Reviewing files that changed from the base of the PR and between 9fdfd10 and b41b8fa.

📒 Files selected for processing (23)

jenkins/L0_Test.groovy
jenkins/scripts/perf/local/submit.py
jenkins/scripts/perf/submit.py
tests/integration/defs/perf/_model_paths.py
tests/integration/defs/perf/test_perf_sanity.py
tests/integration/test_lists/test-db/l0_gb300_multi_gpus_perf_sanity.yml
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx12_node1_gpu4_gen1_node2_gpu8.yml
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx1_node1_gpu4_gen4_node2_gpu8.yml
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx3_node1_gpu4_gen1_node8_gpu32.yml
tests/integration/test_lists/test-db/l0_gb300_multi_nodes_perf_sanity_ctx6_node1_gpu4_gen1_node4_gpu16.yml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_ctx_ep4_384.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep16_slots384.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep16_slots416.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep32_slots384.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep32_slots416.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep4_slots384.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep4_slots416.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep8_slots384.yaml
tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/moe_load_balancer_gen_ep8_slots416.yaml
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con180_ctx3_dep4_gen1_dep32_eplb384_mtp3_ccb-NIXL.yaml
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con4301_ctx12_dep4_gen1_dep8_eplb384_mtp1_ccb-NIXL.yaml
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con666_ctx6_dep4_gen1_dep16_eplb384_mtp3_ccb-NIXL.yaml
tests/scripts/perf-sanity/disaggregated/gb300_deepseek-v4-pro-fp4_8k1k_con8_ctx1_dep4_gen4_tep8_eplb0_mtp3_ccb-NIXL.yaml

BowenFu

LGTM — additive perf-sanity test/CI (DeepSeek-V4-Pro on GB300); new ctx/gen worker_env_var yaml keys are backward-compatible; existing yamls unaffected.

chenfeiz0326 · 2026-07-17T15:38:06Z

/bot run --disable-fail-fast --stage-list "GB300-36_GPUs-9_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN4-NODE2-GPU8-Post-Merge-1,GB300-40_GPUs-10_Nodes-PyTorch-Disagg-PerfSanity-CTX6-NODE1-GPU4-GEN1-NODE4-GPU16-Post-Merge-1,GB300-44_GPUs-11_Nodes-PyTorch-Disagg-PerfSanity-CTX3-NODE1-GPU4-GEN1-NODE8-GPU32-Post-Merge-1,GB300-56_GPUs-14_Nodes-PyTorch-Disagg-PerfSanity-CTX12-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1"

Adds four end-to-end disaggregated perf-sanity cases for DeepSeek-V4-Pro (FP4, 1.6T MoE) on GB300, covering the concurrency sweep (single-user latency at con=8, mid throughput at con=180 and con=666, max throughput at con=4301). New per-role env-var support - environment.ctx_worker_env_var and environment.gen_worker_env_var yaml keys (both optional). Merged with the shared environment.worker_env_var at ServerConfig construction time in test_perf_sanity.py and in both submit scripts (jenkins/scripts/perf/{local/,}submit.py). Existing yamls with only worker_env_var are unaffected. - Used by the new DSv4 configs to apply PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True on the ctx worker only (long-prompt path where expandable_segments avoids CUDA fragmentation). New DSv4-Pro configs (all 8k1k, GB300, NIXL, dep4 ctx / MegaMoE gen) - gb300_deepseek-v4-pro-fp4_8k1k_con8_ctx1_dep4_gen4_tep8_eplb0_mtp3 (1 ctx x 4GPU + 4 gen x 8GPU = 9 nodes / 36 GPUs) - gb300_deepseek-v4-pro-fp4_8k1k_con180_ctx3_dep4_gen1_dep32_eplb384_mtp3 (3 ctx + 1 gen x 32GPU = 11 nodes / 44 GPUs) - gb300_deepseek-v4-pro-fp4_8k1k_con666_ctx6_dep4_gen1_dep16_eplb384_mtp3 (6 ctx + 1 gen x 16GPU = 10 nodes / 40 GPUs) - gb300_deepseek-v4-pro-fp4_8k1k_con4301_ctx12_dep4_gen1_dep8_eplb384_mtp1 (12 ctx + 1 gen x 8GPU = 14 nodes / 56 GPUs) Each config is registered in three test modes (aggr_upload-ctx_only-*, disagg_upload-gen_only-*, disagg_upload-e2e-*) via the aggregated test-db (l0_gb300_multi_gpus_perf_sanity.yml, split bumped 3 -> 4) and four new multi-node test-db yamls (one per shape). Companion pieces - tests/integration/defs/perf/_model_paths.py: add deepseek_v4_pro_fp4 -> DeepSeek-V4-Pro - test_perf_sanity.py generate_extra_llm_api_config: resolve moe_config.load_balancer relative paths against get_llm_root(), so configs can reference the in-repo eplb yamls. - tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/: nine offline moe-load-balancer yamls (ctx_ep4_384 + gen_ep{4,8,16,32}_slots{384,416}) cherry-picked from bench-trtllm-disagg so CI does not need external filesystem access. - jenkins/L0_Test.groovy: four new buildStageConfigs entries under the GB300 disagg section (9, 10, 11, 14 nodes), plus the aggregated split bump. Signed-off-by: chenfeiz <chenfeiz@nvidia.com> Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>

…erverConfig The new DeepSeek-V4-Pro configs added in the previous commit reference the in-repo eplb YAMLs via a repo-relative path string (moe_config.load_balancer: tests/scripts/perf-sanity/disaggregated/deepseek-v4-pro-eplb/...yaml). The TRT-LLM engine accepts either an inline dict or a path string via MoeLoadBalancerConfig, and generate_extra_llm_api_config already resolves the relative path to an absolute one before writing the extra-llm-api-config yaml. But ServerConfig.__init__ was still treating the field as always-dict and crashed at pytest collection: perf/test_perf_sanity.py:470: AttributeError: 'str' object has no attribute 'get' Add an isinstance(str) branch that zeros out the inline load_balancer_num_slots and load_balancer_layer_updates_per_iter — those metrics live inside the referenced YAML and aren't scraped by perf-sanity's DB fields anyway. Signed-off-by: chenfeiz <chenfeiz@nvidia.com> Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>

- Drop disagg_upload-gen_only-* entries from the four new GB300 test-db yamls; keep only the disagg_upload-e2e-* entry. gen_only variants are deferred to a follow-up PR so this PR ships the single mode the concurrency-sweep table calls for. - Bump each new buildStageConfigs testCount from 2 → 1 in L0_Test.groovy now that each test-db yaml holds exactly one active test. - Drop the extraneous f-prefix on the base_prefix string in jenkins/scripts/perf/submit.py's disagg env-var block (Ruff F541). Signed-off-by: chenfeiz <chenfeiz@nvidia.com> Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>

Fold the two-line string concat into a single line so pre-commit's line-length / auto-fold formatter passes. Signed-off-by: chenfeiz <chenfeiz@nvidia.com> Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>

chenfeiz0326 · 2026-07-17T15:41:12Z

/bot run --disable-fail-fast --stage-list "GB300-36_GPUs-9_Nodes-PyTorch-Disagg-PerfSanity-CTX1-NODE1-GPU4-GEN4-NODE2-GPU8-Post-Merge-1,GB300-40_GPUs-10_Nodes-PyTorch-Disagg-PerfSanity-CTX6-NODE1-GPU4-GEN1-NODE4-GPU16-Post-Merge-1,GB300-44_GPUs-11_Nodes-PyTorch-Disagg-PerfSanity-CTX3-NODE1-GPU4-GEN1-NODE8-GPU32-Post-Merge-1,GB300-56_GPUs-14_Nodes-PyTorch-Disagg-PerfSanity-CTX12-NODE1-GPU4-GEN1-NODE2-GPU8-Post-Merge-1"

tensorrt-cicd · 2026-07-17T15:46:55Z

PR_Github #60001 [ run ] triggered by Bot. Commit: f846061 Link to invocation

tensorrt-cicd · 2026-07-17T16:23:47Z

PR_Github #60001 [ run ] completed with state FAILURE. Commit: f846061
/LLM/main/L0_MergeRequest_PR pipeline #48393 (Partly Tested) completed with status: 'FAILURE'

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chenfeiz0326 requested review from a team as code owners July 17, 2026 09:01

chenfeiz0326 requested review from Tabrizian, ZhanruiSunCh, brnguyen2, dc3671, dhansen-nvidia, reasonsolo, schetlur-nv, tburt-nv and yufeiwu-nv July 17, 2026 09:01

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chenfeiz0326 requested review from Shixiaowei02, fredricz-20070104, hyukn and mzweilz July 17, 2026 15:26

chenfeiz0326 added 4 commits July 17, 2026 08:40

[None][test] Fix pre-commit format on submit.py base_prefix

f846061

Fold the two-line string concat into a single line so pre-commit's line-length / auto-fold formatter passes. Signed-off-by: chenfeiz <chenfeiz@nvidia.com> Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>

chenfeiz0326 force-pushed the feat/dsv4-perf-sanity branch from a529cf9 to f846061 Compare July 17, 2026 15:41

yufeiwu-nv removed their request for review July 17, 2026 23:31

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[None][test] Add DeepSeek-V4-Pro perf sanity cases on GB300#16540

[None][test] Add DeepSeek-V4-Pro perf sanity cases on GB300#16540
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