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[None][test] add deepseek and qwen cases for rtx series #8839
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Signed-off-by: Ruodi Lu <ruodil@users.noreply.github.com>
| 📝 WalkthroughWalkthroughAdds performance benchmark configurations for Deepseek R1 models with CUTLASS backend and FP4 quantization, and introduces new test cases for Deepseek and Qwen models including multi-GPU and high-end GPU system configurations. Changes
 Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes 
 Pre-merge checks and finishing touches❌ Failed checks (1 warning)
 ✅ Passed checks (2 passed)
 ✨ Finishing touches
 🧪 Generate unit tests (beta)
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Actionable comments posted: 2
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📒 Files selected for processing (2)
- tests/integration/defs/perf/pytorch_model_config.py(1 hunks)
- tests/integration/test_lists/qa/llm_perf_core.yml(1 hunks)
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📓 Path-based instructions (3)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
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🧠 Learnings (5)
📚 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:
- tests/integration/test_lists/qa/llm_perf_core.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/qa/llm_perf_core.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/qa/llm_perf_core.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/qa/llm_perf_core.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/qa/llm_perf_core.yml
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- GitHub Check: Pre-commit Check
🔇 Additional comments (1)
tests/integration/defs/perf/pytorch_model_config.py (1)
116-136: LGTM! Configuration aligns with new test cases.The new pattern configuration for Deepseek R1 with CUTLASS backend, FP4 quantization, and FP8 KV cache is well-structured and follows the established pattern in the file. The configuration parameters are appropriate for the streaming float4 variant with the specified batch sizes and memory settings.
| - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] | ||
| - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test | 
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Fix inconsistent TIMEOUT formatting.
Line 404 uses TIMEOUT (120) with a space before the parenthesis, which is inconsistent with the formatting used elsewhere in the file (e.g., lines 85, 86, 150, 151 use TIMEOUT(120) without a space).
Apply this diff to fix the formatting:
-  - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test
+  - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] | |
| - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test | |
| - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] | |
| - perf/test_perf.py::test_perf[deepseek_v3_lite_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test | 
🤖 Prompt for AI Agents
In tests/integration/test_lists/qa/llm_perf_core.yml around lines 403 to 404,
the TIMEOUT marker is inconsistently formatted as "TIMEOUT (120)"; change it to
"TIMEOUT(120)" to match the rest of the file (remove the space before the
parenthesis) so formatting is consistent with lines like 85, 86, 150, 151.
| - condition: | ||
| ranges: | ||
| system_gpu_count: | ||
| gte: 8 | ||
| wildcards: | ||
| gpu: | ||
| - '*6000*' | ||
| linux_distribution_name: '*' | ||
| tests: | ||
| - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:512-ep:4-gpus:4] | ||
| - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:8-ep:8-tp:8-gpus:8] | ||
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] | ||
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test | ||
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:512-maxnt:5220-input_output_len:4000,2000-reqs:512-ep:8-tp:8-gpus:8] | 
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Fix inconsistent TIMEOUT formatting and verify test alignment.
Line 425 uses TIMEOUT (120) with a space before the parenthesis, inconsistent with the standard format TIMEOUT(120) used elsewhere in the file.
Otherwise, the new 8+ GPU condition block for RTX 6000 series is well-structured, and the test on line 426 properly aligns with the new pattern configuration added in pytorch_model_config.py (line 119).
Apply this diff to fix the formatting:
-  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test
+  - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| - condition: | |
| ranges: | |
| system_gpu_count: | |
| gte: 8 | |
| wildcards: | |
| gpu: | |
| - '*6000*' | |
| linux_distribution_name: '*' | |
| tests: | |
| - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:512-ep:4-gpus:4] | |
| - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:8-ep:8-tp:8-gpus:8] | |
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] | |
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT (120) #max throughput test | |
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:512-maxnt:5220-input_output_len:4000,2000-reqs:512-ep:8-tp:8-gpus:8] | |
| - condition: | |
| ranges: | |
| system_gpu_count: | |
| gte: 8 | |
| wildcards: | |
| gpu: | |
| - '*6000*' | |
| linux_distribution_name: '*' | |
| tests: | |
| - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:512-ep:4-gpus:4] | |
| - perf/test_perf.py::test_perf[qwen3_235b_a22b_fp4-bench-pytorch-float4-input_output_len:1000,2000-con:8-ep:8-tp:8-gpus:8] | |
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:1-input_output_len:1000,2000-reqs:10-ep:4-tp:8-gpus:8] | |
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test | |
| - perf/test_perf.py::test_perf[deepseek_r1_nvfp4-bench-pytorch-streaming-float4-maxbs:512-maxnt:5220-input_output_len:4000,2000-reqs:512-ep:8-tp:8-gpus:8] | 
🤖 Prompt for AI Agents
In tests/integration/test_lists/qa/llm_perf_core.yml around lines 413 to 426,
the TIMEOUT entry at line 425 is formatted as "TIMEOUT (120)" (with a space)
which is inconsistent with the file's standard "TIMEOUT(120)"; remove the space
so it reads "TIMEOUT(120)" to match formatting and ensure the timeout applies
correctly; then re-run linters/tests to confirm the line aligns with the new 8+
GPU condition block and the pattern added in pytorch_model_config.py line 119.
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PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
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