chore: Add data from auto-collector pipeline 46210829 (gb200_trtllm_1.3.0rc7)

[dynamo-ops]

Error Summary for Auto-Collector Run

Collection summary for gb200 trtllm:1.3.0rc7

Error summary

{
    "backend": "trtllm",
    "version": "1.3.0rc7",
    "timestamp": "2026-03-16T03:58:07.136842",
    "total_errors": 43612,
    "errors_by_module": {
        "trtllm.gemm": 33339,
        "trtllm.compute_scale": 22,
        "trtllm.mla_generation": 2896,
        "trtllm.attention_context": 10,
        "trtllm.moe": 1,
        "trtllm.mla_context_module": 2928,
        "trtllm.mla_generation_module": 4416
    },
    "errors_by_type": {
        "AttributeError": 29526,
        "AcceleratorError": 1271,
        "WorkerSignalCrash": 1271,
        "RuntimeError": 4199,
        "CompatibilityError": 1,
        "TypeError": 7344
    }
}

Summary by CodeRabbit

• Chores
  • Added performance benchmark data files for GB200 systems with TensorRT-LLM 1.3.0rc7 to support performance profiling across multiple neural network operations and architectures.

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No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: 1a340967-4697-4f78-8728-cbbf44087a06

📥 Commits

Reviewing files that changed from the base of the PR and between ae86e39 and f02ed41.

📒 Files selected for processing (9)

• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/computescale_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/context_attention_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/context_mla_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/gemm_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/generation_attention_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/mamba2_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/mla_bmm_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/scale_matrix_perf.txt
• src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/wideep_moe_perf.txt

---

Walkthrough

Nine Git LFS pointer files for TensorRT-LLM 1.3.0rc7 performance benchmark data were added to the GB200 systems directory. These files contain standard LFS metadata (version, oid, size) to track large binary performance datasets.

Changes

Cohort / File(s)	Summary
GB200 TensorRT-LLM Performance Data src/aiconfigurator/systems/data/gb200/trtllm/1.3.0rc7/*_perf.txt	Added 9 Git LFS pointer files for various performance metrics including compute scale, context attention, MLA, GEMM, generation attention, Mamba2, MLA BMM, scale matrix, and WidEEP MoE benchmarks.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Poem

🐰 Performance data hops along the way,
LFS pointers guide it, day by day,
GB200 benchmarks now reside up high,
In TensorRT's garden, beneath the sky! 📊

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description provides error summary details but lacks required template sections like Overview, Details, Where to start, and Related Issues.	Restructure the description to follow the template: add an Overview section, provide Details about the files added, specify files for review, and reference any related issues.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately describes the main change: adding performance data files from an auto-collector pipeline for gb200 trtllm 1.3.0rc7, which matches the 9 new LFS pointer files added.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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📝 Coding Plan

• Generate coding plan for human review comments

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