[TRTLLM-6643][feat] Add DeepSeek-v3-0324 e2e torch test #7413
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Signed-off-by: Yaran Wu <28771492+aalanwyr@users.noreply.github.com>
Signed-off-by: Yaran Wu <28771492+aalanwyr@users.noreply.github.com>
📝 WalkthroughWalkthroughAdds DeepSeek-V3-0324 to multiple integration test parameterizations and expected-memory mapping, introduces an 8-GPU relaxed-acceptance entry using DeepSeek-V3-671B-FP8 with skip markers, and appends corresponding test identifiers to multi-node and NIM QA test lists. No production logic or public API changes. Changes
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Suggested reviewers
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📒 Files selected for processing (3)
tests/integration/defs/test_e2e.py(3 hunks)tests/integration/test_lists/qa/llm_function_multinode.txt(1 hunks)tests/integration/test_lists/qa/llm_function_nim.txt(1 hunks)
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📓 Path-based instructions (2)
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tests/integration/defs/test_e2e.py
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Files:
tests/integration/defs/test_e2e.py
🧠 Learnings (2)
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
PR: NVIDIA/TensorRT-LLM#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/qa/llm_function_nim.txttests/integration/defs/test_e2e.py
📚 Learning: 2025-08-29T14:07:45.863Z
Learnt from: EmmaQiaoCh
PR: NVIDIA/TensorRT-LLM#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/defs/test_e2e.py
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🔇 Additional comments (3)
tests/integration/test_lists/qa/llm_function_multinode.txt (1)
9-9: DeepSeek-V3-0324 multinode entry added — looks goodEntry matches the new param in test_e2e; no issues spotted.
Confirm you intend to keep both entries (DeepSeek-V3 and DeepSeek-V3-0324) enabled to run side-by-side, not replace one with the other.
tests/integration/test_lists/qa/llm_function_nim.txt (1)
2-2: NIM list entry aligns with new 8-GPU paramThe ID format mirrors the two-parameter parametrize; OK.
tests/integration/defs/test_e2e.py (1)
1913-1913: Added DeepSeek-V3-0324 to multinode test matrix — OKMarker choice (skip_post_blackwell) is consistent with the existing DeepSeek-V3 entry.
aalanwyr
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Signed-off-by: Yaran Wu <28771492+aalanwyr@users.noreply.github.com>
Signed-off-by: Yaran Wu <28771492+aalanwyr@users.noreply.github.com>
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Signed-off-by: Yaran Wu <28771492+aalanwyr@users.noreply.github.com>
Signed-off-by: Yaran Wu <28771492+aalanwyr@users.noreply.github.com>
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Summary by CodeRabbit
Description
Add DeepSeek-v3-0324 into nim test scope
Add two e2e test cases for DeepSeek-v3-0324
Single-nodes-multi-gpus: test_e2e.py::test_ptp_quickstart_advanced_8gpus[DeepSeek-V3-671B-FP8-DeepSeek-V3-0324]
Verified this test on 8XH20
Multi-nodes-multi-gpus: test_e2e.py::test_ptp_quickstart_advanced_deepseek_multi_nodes[DeepSeek-V3-0324]
Verified on cluster:
https://prod.blsm.nvidia.com/swqa-tensorrt-qa-test/blue/organizations/jenkins/DEBUG_LLM_FUNCTION_CLUSTER_TEST/detail/DEBUG_LLM_FUNCTION_CLUSTER_TEST/147/pipeline/
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