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[https://nvbugs/6143811][fix] AutoDeploy gate quantization tests#13846

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NVIDIA:mainfrom
nv-auto-deploy:gagam/nvbug-6143811
May 14, 2026
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[https://nvbugs/6143811][fix] AutoDeploy gate quantization tests#13846
galagam merged 3 commits into
NVIDIA:mainfrom
nv-auto-deploy:gagam/nvbug-6143811

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@galagam galagam commented May 7, 2026

Summary by CodeRabbit

  • Tests

    • Improved model accuracy validation with enhanced hardware-specific testing for AutoDeploy.
  • Chores

    • Consolidated test imports and cleaned up test configuration entries.

Description

Gate AutoDeploy FP8 and NVFP4 accuracy cases by supported GPU architecture.
Replace Nano V3 check for SM<90 aimed to catch architectures with low memory with a direct GPU memory check.
Unwaive affected test.

Test Coverage

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@galagam galagam requested review from a team as code owners May 7, 2026 09:15
@galagam galagam requested a review from lucaslie May 7, 2026 09:15
@galagam galagam requested a review from MrGeva May 7, 2026 09:16
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Review Change Stack

📝 Walkthrough

Walkthrough

This PR updates the AutoDeploy accuracy test module with consolidated imports from a shared conftest, refactored test parameterization using explicit skip markers for precision variants (FP8/NVFP4), and hardware-gated IR test classes. The waive list is adjusted accordingly.

Changes

AutoDeploy Accuracy Test Module Updates

Layer / File(s) Summary
Import Consolidation
tests/integration/defs/accuracy/test_llm_api_autodeploy.py
Top-level imports are refactored to source get_device_count, get_llm_root, llm_models_root, and skip markers directly from defs.conftest, removing older relative imports and get_sm_version.
Test Parameterization Refactor
tests/integration/defs/accuracy/test_llm_api_autodeploy.py
Nano V3 and Super V3 accuracy test parameterization changes from simple model lists to explicit per-model parametrization with skip_pre_hopper applied to FP8 and skip_pre_blackwell applied to NVFP4.
Model Registry Skip Refinement
tests/integration/defs/accuracy/test_llm_api_autodeploy.py
Llama-3.3-70B-Instruct skip criteria in MODEL_REGISTRY_ACCURACY_PARAMS combines skip_less_device_memory(80000) with skip_pre_hopper.
IR Test Class Gating
tests/integration/defs/accuracy/test_llm_api_autodeploy.py
TestNemotronSuperV3_IR and TestQwen3_5_MoE_IR receive @skip_pre_hopper class-level decorators to gate IR-sharding accuracy tests on pre-Hopper hardware.
Test Waive List Update
tests/integration/test_lists/waives.txt
Waive list is adjusted to remove an empty-line hunk and maintain alignment with test skip marker changes.

🎯 2 (Simple) | ⏱️ ~12 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly summarizes the main change: gating quantization tests in AutoDeploy by GPU architecture, following the required format with NVBugs ticket and [fix] type.
Description check ✅ Passed The description includes key sections: concise explanation of changes (gating FP8/NVFP4 cases, replacing SM check with memory check, unwaving test), and completed PR checklist confirming guidelines compliance.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
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Actionable comments posted: 1

🧹 Nitpick comments (1)
tests/integration/defs/accuracy/test_llm_api_autodeploy.py (1)

559-566: Hardware gating changes look coherent; QA list updates should be unnecessary if nodeids remain unchanged.

These changes gate unsupported architectures via marks/decorators without renaming test classes/functions or explicit param IDs, so scheduled list references should remain stable. A quick sanity check against tests/integration/test_lists/qa/llm_function_core.txt and test-db nodeids is enough.

As per coding guidelines: “If a PR changes hardware gating/skip behavior for specific accuracy tests, update the corresponding node IDs here (or ensure they already match)… keep the exact node-id string consistent.”

Also applies to: 628-635, 1067-1067, 1217-1217, 1321-1321, 1374-1374

🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@tests/integration/defs/accuracy/test_llm_api_autodeploy.py` around lines 559
- 566, The parametrize change for "model_id" (values "bf16", pytest.param("fp8",
marks=skip_pre_hopper), pytest.param("nvfp4", marks=skip_pre_blackwell)) alters
skip behavior but may affect scheduled QA node-ids; verify that the test node-id
strings for these parametrized cases still match the QA list
(llm_function_core.txt) and the test-db nodeids, and if they differ either add
explicit ids to the pytest.param entries or update the QA list/test-db nodeids
to the new exact node-id strings so scheduled references remain stable.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@tests/integration/defs/accuracy/test_llm_api_autodeploy.py`:
- Around line 572-577: The check that computes free_memory_mib only queries GPU
0 and may miss a lower-memory device; replace the single-device call by
computing the minimum free memory across all CUDA devices (e.g., iterate
torch.cuda.device_count() and call torch.cuda.mem_get_info(i)[0] for each) and
use that min value for the existing conditional that compares to 80000 and the
model_id "bf16"; ensure the variable free_memory_mib name stays the same and
keep the downstream call to low_memory_overrides(kwargs) and the model_id check
unchanged.

---

Nitpick comments:
In `@tests/integration/defs/accuracy/test_llm_api_autodeploy.py`:
- Around line 559-566: The parametrize change for "model_id" (values "bf16",
pytest.param("fp8", marks=skip_pre_hopper), pytest.param("nvfp4",
marks=skip_pre_blackwell)) alters skip behavior but may affect scheduled QA
node-ids; verify that the test node-id strings for these parametrized cases
still match the QA list (llm_function_core.txt) and the test-db nodeids, and if
they differ either add explicit ids to the pytest.param entries or update the QA
list/test-db nodeids to the new exact node-id strings so scheduled references
remain stable.
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Reviewing files that changed from the base of the PR and between 5d2d455 and 7e5181c.

📒 Files selected for processing (2)
  • tests/integration/defs/accuracy/test_llm_api_autodeploy.py
  • tests/integration/test_lists/waives.txt
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  • tests/integration/test_lists/waives.txt

Comment thread tests/integration/defs/accuracy/test_llm_api_autodeploy.py Outdated
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galagam commented May 7, 2026

/bot run --stage-list "DGX_B200-4_GPUs-AutoDeploy-1, DGX_H100-4_GPUs-AutoDeploy-1, DGX_H100-4_GPUs-AutoDeploy-Post-Merge-1,DGX_B200-8_GPUs-AutoDeploy-Post-Merge-1"

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Comment thread tests/integration/defs/accuracy/test_llm_api_autodeploy.py Outdated
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see my comment. other than that LGTM

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galagam commented May 7, 2026

/bot run --stage-list "DGX_H100-4_GPUs-AutoDeploy-1"

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PR_Github #47204 [ run ] triggered by Bot. Commit: 448000e Link to invocation

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PR_Github #47204 [ run ] completed with state SUCCESS. Commit: 448000e
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/bot run

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PR_Github #47223 [ run ] completed with state SUCCESS. Commit: 448000e
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galagam commented May 8, 2026

/bot run

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PR_Github #47264 [ run ] triggered by Bot. Commit: 448000e Link to invocation

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PR_Github #47264 [ run ] completed with state SUCCESS. Commit: 448000e
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galagam commented May 8, 2026

/bot run --disable-fail-fast

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/bot help

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galagam commented May 8, 2026

/bot run skip --comment "pipeline passed, commit SHA updated due to waives.txt conflict"

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galagam commented May 8, 2026

/bot skip --comment "pipeline passed, commit SHA updated due to waives.txt conflict"

@galagam galagam enabled auto-merge (squash) May 8, 2026 13:24
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/bot kill

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galagam commented May 11, 2026

/bot run --stage-list "DGX_H100-4_GPUs-AutoDeploy-1, DGX_B200-4_GPUs-AutoDeploy-1"

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galagam commented May 11, 2026

/bot run --extra-stage "DGX_H100-4_GPUs-AutoDeploy-1, DGX_B200-4_GPUs-AutoDeploy-1"

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/bot run --extra-stage "DGX_H100-4_GPUs-AutoDeploy-1, DGX_B200-4_GPUs-AutoDeploy-1"

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galagam commented May 13, 2026

/bot run --stage-list "DGX_B200-4_GPUs-AutoDeploy-1, DGX_H100-4_GPUs-AutoDeploy-1, DGX_H100-4_GPUs-AutoDeploy-Post-Merge-1,DGX_B200-8_GPUs-AutoDeploy-Post-Merge-1"

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galagam added 3 commits May 13, 2026 02:37
Gate AutoDeploy FP8 and NVFP4 accuracy cases by supported GPU architecture.
Keep lower-memory Nano V3 runs on reduced settings and remove the obsolete waive.

Signed-off-by: Gal Hubara Agam <96368689+galagam@users.noreply.github.com>
Signed-off-by: Gal Hubara Agam <96368689+galagam@users.noreply.github.com>
Signed-off-by: Gal Hubara Agam <96368689+galagam@users.noreply.github.com>
@galagam galagam force-pushed the gagam/nvbug-6143811 branch from 67fd647 to 6634c47 Compare May 13, 2026 09:45
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galagam commented May 13, 2026

/bot run --stage-list "DGX_B200-4_GPUs-AutoDeploy-1, DGX_H100-4_GPUs-AutoDeploy-1, DGX_H100-4_GPUs-AutoDeploy-Post-Merge-1,DGX_B200-8_GPUs-AutoDeploy-Post-Merge-1"

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galagam commented May 13, 2026

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galagam commented May 13, 2026

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@galagam galagam enabled auto-merge (squash) May 13, 2026 17:13
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@galagam galagam merged commit c5e4056 into NVIDIA:main May 14, 2026
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