[TRTLLM-9622][infra] Enable DGX_B300 multi-gpu testing in pre-merge pipeline#9699
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1,DGX_B200-4_GPUs-PyTorch-1" --disable-fail-fast |
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" --disable-fail-fast |
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" |
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📝 WalkthroughWalkthroughThe pull request adds a new test configuration entry for 4-GPU PyTorch testing on the B300 DGX partition to both the Jenkins test matrix and the test configuration file, expanding test coverage for PyTorch workloads on the B300 hardware. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches
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📒 Files selected for processing (2)
jenkins/L0_Test.groovytests/integration/test_lists/test-db/l0_dgx_b300.yml
🧰 Additional context used
🧠 Learnings (10)
📓 Common learnings
Learnt from: pengbowang-nv
Repo: NVIDIA/TensorRT-LLM PR: 7192
File: tests/integration/test_lists/test-db/l0_dgx_b200.yml:56-72
Timestamp: 2025-08-26T09:49:04.956Z
Learning: In TensorRT-LLM test configuration files, the test scheduling system handles wildcard matching with special rules that prevent duplicate test execution even when the same tests appear in multiple yaml files with overlapping GPU wildcards (e.g., "*b200*" and "*gb200*").
📚 Learning: 2025-08-26T09:49:04.956Z
Learnt from: pengbowang-nv
Repo: NVIDIA/TensorRT-LLM PR: 7192
File: tests/integration/test_lists/test-db/l0_dgx_b200.yml:56-72
Timestamp: 2025-08-26T09:49:04.956Z
Learning: In TensorRT-LLM test configuration files, the test scheduling system handles wildcard matching with special rules that prevent duplicate test execution even when the same tests appear in multiple yaml files with overlapping GPU wildcards (e.g., "*b200*" and "*gb200*").
Applied to files:
jenkins/L0_Test.groovytests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-09-17T02:48:52.732Z
Learnt from: tongyuantongyu
Repo: NVIDIA/TensorRT-LLM PR: 7781
File: tests/integration/test_lists/waives.txt:313-313
Timestamp: 2025-09-17T02:48:52.732Z
Learning: In TensorRT-LLM, `tests/integration/test_lists/waives.txt` is specifically for waiving/skipping tests, while other test list files like those in `test-db/` and `qa/` directories are for different test execution contexts (pre-merge, post-merge, QA tests). The same test appearing in both waives.txt and execution list files is intentional - the test is part of test suites but will be skipped due to the waiver.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
Repo: NVIDIA/TensorRT-LLM PR: 6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-08-06T13:58:07.506Z
Learnt from: galagam
Repo: NVIDIA/TensorRT-LLM PR: 6487
File: tests/unittest/_torch/auto_deploy/unit/singlegpu/test_ad_trtllm_bench.py:1-12
Timestamp: 2025-08-06T13:58:07.506Z
Learning: In TensorRT-LLM, test files (files under tests/ directories) do not require NVIDIA copyright headers, unlike production source code files. Test files typically start directly with imports, docstrings, or code.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-08-29T14:07:45.863Z
Learnt from: EmmaQiaoCh
Repo: NVIDIA/TensorRT-LLM PR: 7370
File: tests/unittest/trt/model_api/test_model_quantization.py:24-27
Timestamp: 2025-08-29T14:07:45.863Z
Learning: In TensorRT-LLM's CI infrastructure, pytest skip markers (pytest.mark.skip) are properly honored even when test files have __main__ blocks that call test functions directly. The testing system correctly skips tests without requiring modifications to the __main__ block execution pattern.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-08-11T20:09:24.389Z
Learnt from: achartier
Repo: NVIDIA/TensorRT-LLM PR: 6763
File: tests/integration/defs/triton_server/conftest.py:16-22
Timestamp: 2025-08-11T20:09:24.389Z
Learning: In the TensorRT-LLM test infrastructure, the team prefers simple, direct solutions (like hard-coding directory traversal counts) over more complex but robust approaches when dealing with stable directory structures. They accept the maintenance cost of updating tests if the layout changes.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-08-14T06:36:40.701Z
Learnt from: timlee0212
Repo: NVIDIA/TensorRT-LLM PR: 6886
File: tensorrt_llm/_torch/models/modeling_deepseekv3.py:0-0
Timestamp: 2025-08-14T06:36:40.701Z
Learning: In DeepSeek V3 model (tensorrt_llm/_torch/models/modeling_deepseekv3.py), the disagreement between AllReduce.__init__ guard and _compute_mlp_tp_size logic for MNNVL usage is expected by design. The AllReduce component and MLP TP-size computation intentionally use different criteria for MNNVL availability decisions.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
📚 Learning: 2025-08-13T11:07:11.772Z
Learnt from: Funatiq
Repo: NVIDIA/TensorRT-LLM PR: 6754
File: tests/integration/test_lists/test-db/l0_a30.yml:41-47
Timestamp: 2025-08-13T11:07:11.772Z
Learning: In TensorRT-LLM test configuration files like tests/integration/test_lists/test-db/l0_a30.yml, TIMEOUT values are specified in minutes, not seconds.
Applied to files:
tests/integration/test_lists/test-db/l0_dgx_b300.yml
🔇 Additional comments (2)
tests/integration/test_lists/test-db/l0_dgx_b300.yml (1)
71-92: LGTM! Pre-merge test configuration properly added.The new pre_merge test block successfully enables B300 multi-GPU testing in the pre-merge pipeline, aligning with the PR objectives. The configuration correctly:
- Targets 4-GPU B300 systems with appropriate wildcards
- Selects a focused subset of PyTorch tests for pre-merge validation
- Uses the same GPU wildcards as the post_merge block, which is handled correctly by the test scheduling system per learnings
jenkins/L0_Test.groovy (1)
3061-3061: LGTM! Test configuration entry correctly added.The new DGX_B300-4_GPUs-PyTorch-1 configuration entry is properly structured and follows the established pattern of existing DGX test configurations. It correctly references the l0_dgx_b300 test list and specifies 4 GPUs, aligning with the pre_merge test block added to the YAML file.
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" |
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" |
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Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" |
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PR_Github #30534 [ run ] triggered by Bot. Commit: |
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" |
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PR_Github #30538 [ run ] triggered by Bot. Commit: |
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/bot run --stage-list "DGX_B300-4_GPUs-PyTorch-1" |
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/bot skip --comment "has been tested in /LLM/main/L0_MergeRequest_PR pipeline #23570 (Partly Tested)" |
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PR_Github #30668 [ skip ] triggered by Bot. Commit: |
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…ipeline (NVIDIA#9699) Signed-off-by: Yiqing Yan <yiqingy@nvidia.com> Signed-off-by: Daniil Kulko <kulkodaniil@gmail.com>
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