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[None] [test] Add MNNVL AlltoAll tests to pre-merge by kaiyux · Pull Request #7465 · NVIDIA/TensorRT-LLM · GitHub
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@kaiyux kaiyux commented Sep 2, 2025

Summary by CodeRabbit

  • Tests
    • Added a new MoE all-to-all test variant to multiple GPU test suites.
    • Re-enabled an FP4 MoE all-to-all test with targeted runtime skips for unstable methods.
    • Aligned test tensor allocations to GPU to improve reliability.

Description

Cherry-picking #7071 from @yuantailing .

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kaiyux commented Sep 2, 2025

/bot run --add-multi-gpu-test

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coderabbitai bot commented Sep 2, 2025

📝 Walkthrough

Walkthrough

Updates test lists to add/switch the MoE alltoall MNNVL variant and adjust FP4 coverage. In unit tests, moves certain weight tensors to CUDA and replaces a decorator skip with a runtime conditional skip for DeepEP/DeepEPLowLatency in FP4 tests.

Changes

Cohort / File(s) Summary
Integration test lists: MoE alltoall variants
tests/integration/test_lists/test-db/l0_dgx_b200.yml, tests/integration/test_lists/test-db/l0_dgx_h100.yml
l0_dgx_b200: Switch pre_merge 4xGPU PyTorch FP4 entry from DeepEPLowLatency to MNNVL. l0_dgx_h100: Add test_fused_moe_alltoall[MNNVL] in two pre_merge blocks (auto_trigger: others, deepseek), alongside existing DeepEP and DeepEPLowLatency.
Unit tests: fused MoE alltoall
tests/unittest/_torch/modules/test_fused_moe.py
Allocate w1_weight, w2_weight, w3_weight on CUDA. Remove decorator skip for test_fused_moe_alltoall_fp4; add inline runtime skip when alltoall_method_type is DeepEPLowLatency or DeepEP (nvbugs/5467531).

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor Dev as PyTest Runner
  participant T as test_fused_moe_alltoall_fp4
  participant C as per_rank_test_fused_moe_alltoall
  Note over T: New: runtime skip for DeepEP/DeepEPLowLatency
  Dev->>T: execute()
  T->>T: determine alltoall_method_type
  alt method in {DeepEP, DeepEPLowLatency}
    T-->>Dev: skip(reason="nvbugs/5467531")
  else other method (e.g., MNNVL)
    T->>C: setup & run test
    Note right of C: Weights allocated on device="cuda"
    C-->>T: results
    T-->>Dev: assert pass/fail
  end
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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/unittest/_torch/modules/test_fused_moe.py (1)

304-306: Compact the skip condition for readability.

Same behavior, clearer expression.

-    if alltoall_method_type == AlltoallMethodType.DeepEPLowLatency \
-            or alltoall_method_type == AlltoallMethodType.DeepEP:
-        pytest.skip("Skipped due to https://nvbugs/5467531")
+    if alltoall_method_type in {AlltoallMethodType.DeepEPLowLatency,
+                                AlltoallMethodType.DeepEP}:
+        pytest.skip("Skipped due to https://nvbugs/5467531")
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Reviewing files that changed from the base of the PR and between 935c2c1 and 09478d0.

📒 Files selected for processing (3)
  • tests/integration/test_lists/test-db/l0_dgx_b200.yml (1 hunks)
  • tests/integration/test_lists/test-db/l0_dgx_h100.yml (1 hunks)
  • tests/unittest/_torch/modules/test_fused_moe.py (2 hunks)
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📚 Learning: 2025-07-28T17:06:08.621Z
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PR: NVIDIA/TensorRT-LLM#6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
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tests/unittest/_torch/modules/test_fused_moe.py (1)
tensorrt_llm/_torch/modules/fused_moe/fused_moe_wide_ep.py (1)
  • AlltoallMethodType (27-35)
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🔇 Additional comments (3)
tests/integration/test_lists/test-db/l0_dgx_b200.yml (1)

19-19: Switch FP4 A2A variant to MNNVL aligns with test runtime skip logic.

test_fused_moe_alltoall_fp4 now skips DeepEP/DeepEPLowLatency at runtime; moving the pre-merge entry to [MNNVL] guarantees the job actually runs instead of being auto-skipped. LGTM.

tests/integration/test_lists/test-db/l0_dgx_h100.yml (1)

83-83: Adding MNNVL coverage on H100 (non-FP4) — verify CI support.

Good addition for parity across A2A methods. Please confirm the H100 pre-merge runners have MNNVL enabled to avoid unexpected infra failures; if not, consider gating to B200-only or adding a runtime capability check.

tests/unittest/_torch/modules/test_fused_moe.py (1)

215-222: Allocate expert weights directly on CUDA to avoid extra H2D copies.

This reduces overhead and matches the device set via torch.cuda.set_device(rank). Looks good.

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PR_Github #17311 [ run ] triggered by Bot

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PR_Github #17311 [ run ] completed with state SUCCESS
/LLM/release-1.1.0rc2/L0_MergeRequest_PR pipeline #15 completed with status: 'FAILURE'

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kaiyux commented Sep 2, 2025

/bot run --add-multi-gpu-test

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PR_Github #17384 [ run ] triggered by Bot

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PR_Github #17384 [ run ] completed with state SUCCESS
/LLM/release-1.1.0rc2/L0_MergeRequest_PR pipeline #22 completed with status: 'FAILURE'

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kaiyux commented Sep 2, 2025

/bot run --disable-fail-fast

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@zongfeijing zongfeijing requested review from a team as code owners September 4, 2025 13:00
@zongfeijing zongfeijing force-pushed the user/kaiyu/mnnvl_a2a_test branch from 28b08a6 to 256f642 Compare September 4, 2025 13:36
kaiyux and others added 3 commits September 4, 2025 10:02
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
Signed-off-by: Zongfei Jing <20381269+zongfeijing@users.noreply.github.com>
@kaiyux kaiyux force-pushed the user/kaiyu/mnnvl_a2a_test branch from 256f642 to 9b53779 Compare September 4, 2025 17:02
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kaiyux commented Sep 4, 2025

/bot run --disable-fail-fast

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PR_Github #17699 [ run ] triggered by Bot

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/LLM/release-1.1.0rc2/L0_MergeRequest_PR pipeline #69 completed with status: 'FAILURE'

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kaiyux commented Sep 4, 2025

/bot run --disable-fail-fast

@kaiyux kaiyux enabled auto-merge (squash) September 4, 2025 22:21
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/LLM/release-1.1.0rc2/L0_MergeRequest_PR pipeline #71 completed with status: 'FAILURE'

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kaiyux commented Sep 5, 2025

/bot run --disable-fail-fast

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/LLM/release-1.1.0rc2/L0_MergeRequest_PR pipeline #75 completed with status: 'FAILURE'

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kaiyux commented Sep 5, 2025

/bot run --disable-fail-fast

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@kaiyux kaiyux merged commit 1455074 into NVIDIA:release/1.1.0rc2 Sep 5, 2025
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@kaiyux kaiyux deleted the user/kaiyu/mnnvl_a2a_test branch September 5, 2025 17:41
kaiyux added a commit to kaiyux/TensorRT-LLM that referenced this pull request Sep 5, 2025
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Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
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Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
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