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@ruodil ruodil commented Oct 31, 2025

Summary by CodeRabbit

  • Tests
    • Added performance benchmark test cases for Deepseek R1 models with quantization support.
    • Extended test coverage for multi-GPU configurations with 8+ GPU systems.
    • Introduced new test matrix entries for higher-end GPU setups with optimized attention and memory configurations.

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Signed-off-by: Ruodi Lu <ruodil@users.noreply.github.com>
@ruodil ruodil self-assigned this Oct 31, 2025
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📝 Walkthrough

Walkthrough

Adds 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

Cohort / File(s) Summary
Deepseek R1 Model Configuration
tests/integration/defs/perf/pytorch_model_config.py
Adds pattern_config entry for Deepseek R1 models with CUTLASS backend. Includes specific benchmark pattern with parameters (512 max batch size, 5220 max num tokens, 4000/2000 input/output length). Configures attention dropout, MoE backend, KV cache FP8 dtype, and CUDA graph settings.
Performance Test List Updates
tests/integration/test_lists/qa/llm_perf_core.yml
Adds new max-throughput test cases for Deepseek V3 Lite with FP4 quantization. Introduces conditional test block for systems with 8+ GPUs, including Qwen3 235B and Deepseek R1 NVFp4 benchmark variants with streaming and various batch size configurations.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

  • Verify configuration parameters (batch sizes, token counts, memory settings) are correctly specified
  • Validate alignment between model configuration pattern and corresponding test list entries
  • Confirm GPU-gated test conditions and TIMEOUT annotations are appropriate for multi-GPU scenarios

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Description Check ⚠️ Warning The PR description is incomplete and does not meet the repository's template requirements. The "Description" section is empty with only a placeholder comment, leaving no explanation of the issue, motivation, or solution. The "Test Coverage" section is also empty with only a placeholder comment, providing no information about which tests safeguard the changes. While the PR checklist box is checked, the critical sections preceding it that should detail what is being changed and why remain unfilled, making it impossible to understand the rationale from the description alone. The author should fill in the "Description" section with a clear explanation of what changes were made and why they are needed, and complete the "Test Coverage" section by listing the specific test cases (the modified files: pytorch_model_config.py and llm_perf_core.yml) that validate these additions. This will provide reviewers with necessary context about the performance test cases being added for Deepseek and Qwen models on RTX series GPUs.
✅ Passed checks (2 passed)
Check name Status Explanation
Title Check ✅ Passed The PR title "[None][test] add deepseek and qwen cases for rtx series" directly relates to the changes in the pull request. The raw_summary confirms that new test cases were added for Deepseek (R1 and v3_lite) and Qwen (qwen3_235b_a22b) models in the performance testing configuration files. The title is concise, specific, and follows the repository's naming convention with the correct format [None][test]. The mention of "rtx series" aligns with the summary's reference to extending tests for "higher-end GPUs" with multi-GPU configurations (8+ GPUs), providing relevant context for the targeted hardware.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
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Actionable comments posted: 2

📜 Review details

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Review profile: CHILL

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📥 Commits

Reviewing files that changed from the base of the PR and between 98453d2 and b2326ef.

📒 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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🧠 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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🔇 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.

Comment on lines +403 to +404
- 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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⚠️ Potential issue | 🟡 Minor

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.

Suggested change
- 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.

Comment on lines +413 to +426
- 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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⚠️ Potential issue | 🟡 Minor

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.

Suggested change
- 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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