NVIDIA / NVIDIA/TensorRT-Model-Connect
[Performance] glm-4-9b latency is 25.5% above reference
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- Dominant language
- Python
- Stars
- 254
- Forks
- 58
- Avg merge
- 1d 7h
- Merged PRs (30d)
- 235
Description
This was generated by AI during triage.
Summary
glm-4-9b completes aligned FP16 generation and matches exact token IDs, but TRTMC latency is 25.5% above the reference.
Observed behavior
- Precision: TRTMC FP16, reference FP16
- Output contract: exact token IDs (matched)
- Request: batch 1, 20 new tokens
- Measurement: 3 warmups followed by 10 iterations
- Candidate p50: 1,807.21 ms
- Reference p50: 1,440.22 ms
- Regression: +25.5% (allowed margin: 5%)
Expected behavior
The generation path should remain within the registered performance margin after warmup.
Acceptance criteria
- Profile prefill, decode, KV-cache access, and synchronization.
- Identify and fix the dominant bottleneck.
- Preserve exact-token output and the existing performance gate.
Reproduction platform
- Hardware: NVIDIA Thor X
- Architecture: aarch64
- TensorRT: 11.0
- GPU carveout: 48 GiB
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by reproducing the batch-1, 20-token FP16 measurement on NVIDIA Thor, then profile prefill, decode, KV-cache access, and synchronization against the reference. Done means the dominant bottleneck is addressed, exact token IDs remain unchanged, and the existing performance gate is within its 5% margin.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100