[None][chore] Fix gpu memory requirement in stress test

[dominicshanshan]

Summary by CodeRabbit

Release Notes

• Tests
  • Updated stress test memory configurations to use explicit MiB units
  • Enhanced memory error messages to display requirements in both MiB and GB for improved clarity

Description

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[coderabbitai]

📝 Walkthrough

Walkthrough

Memory configuration values in the stress test were converted from gigabyte units to explicit mebibyte units throughout the file, with corresponding comments added to document the conversions. The control flow and test logic remain unchanged.

Changes

Cohort / File(s)	Summary
Stress Test Memory Configuration tests/integration/defs/stress_test/stress_test.py	Updated ModelConfig memory requirements from GB to explicit MiB values (12 GB → 12288 MiB, 96 GB → 98304 MiB, 256 GB → 262144 MiB, 168 GB → 172032 MiB). Added inline comments documenting MiB equivalents. Updated memory check error messages to reflect MiB units with both MiB and GB representations.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is entirely empty—only the template structure is present with no actual content filling the required sections (Description, Test Coverage, PR Checklist items unchecked).	Add a Description section explaining what was changed and why, list the relevant test coverage, and review/check the PR Checklist items as appropriate.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title '[None][chore] Fix gpu memory requirement in stress test' directly and clearly describes the main change in the changeset.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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---

No actionable comments were generated in the recent review. 🎉

🧹 Recent nitpick comments

tests/integration/defs/stress_test/stress_test.py (2)

1-1: Copyright year is outdated.

The copyright header reads 2022-2024, but this file is being modified in 2026. As per coding guidelines, all TensorRT-LLM source files should contain a copyright header with the year of latest meaningful modification.

-# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.

---

501-506: get_device_memory() is called three times — cache the result.

get_device_memory() shells out to nvidia-smi (or reads /proc/meminfo) on every call. It's invoked once on line 502 and twice more on line 505. Store the result in a local variable.

♻️ Proposed fix

     # get_device_memory() returns per-GPU memory in MiB
-    if get_device_memory() < config.memory_requirement:
+    device_memory = get_device_memory()
+    if device_memory < config.memory_requirement:
         pytest.skip(
             f"Not enough GPU memory. Required: {config.memory_requirement} MiB ({config.memory_requirement // 1024} GB), "
-            f"Available: {get_device_memory()} MiB ({get_device_memory() // 1024} GB)"
+            f"Available: {device_memory} MiB ({device_memory // 1024} GB)"
         )

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[dominicshanshan]

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[litaotju]

LGTM - Simple test configuration update to use explicit MiB units and improve error messages

[dominicshanshan]

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