fix(checkpoints): preserve validation under python -O by JiaxinD · Pull Request #1053 · NVIDIA/TensorRT-Model-Connect

JiaxinD · 2026-08-27T00:05:17Z

Background

Checkpoint/config boundary assertions disappear under python -O, allowing malformed inputs to reach conversion. This fixes #1052 in the current family-owned architecture. Newly integrated GPT-2 provenance validation also skipped its signature read under optimization, breaking valid bundles and bypassing provenance checks.

Exit Criteria

Reject malformed checkpoint dimensions and prebuilt provenance in normal and optimized Python. Preserve valid mappings, intentional internal invariants and owning-family boundaries. Evaluate public and protected CI on this head separately.

Implementation

Replace external checkpoint/config assertions with explicit ValueError guards in their owning families.
Validate Magpie fused ranks, Nemotron-H patterns and complete XGLM embedding shapes; retain accurate OLMo2 diagnostics.
Retain family-local assertion audits and real BERT/Llama safetensors subprocess regressions.
Preserve upstream GPT-OSS incremental state consumption and target-dtype conversion while retaining its explicit embedding guard.
Replace GPT-2 provenance assertions with explicit checks, preserving AssertionError types, messages, schema and bounds; test valid and malformed bundles with optimization enabled and disabled.

All changes are within families/. Shared API/ABI, dependencies and bundle schema are unchanged. Normal upstream integration preserves published history.

Change categories

Validation

Commands and Results

Executed check	Result
`pytest` on all family `test_optimized_checkpoint_guards.py`, BERT/Llama/Magpie/Nemotron-H/XGLM/OLMo2 checkpoint suites and GPT-2 prebuilt validation	193 passed
New GPT-2 normal/optimized provenance regression against upstream before repair	Four optimized cases failed; after repair all eight passed, full prebuilt suite 42 passed
BERT real safetensors subprocess matrix, normal and optimized	32 passed; earlier upstream baseline rejected with wrong exception or accepted malformed shapes, 24 failed/8 passed
Report-local `python check-gpt-oss-merge.py`, extracted actual loader with existing upstream synthetic weight fixture	Both optimization modes passed, state consumed, stored arrays FP16, malformed embedding rejected
Ruff on updated sources; `git diff --check`	Passed

Checkpoint I/O is real in BERT/Llama tests. Other focused tests compile owning functions with documented checkpoint-provider fixtures. The GPT-OSS fixture does not execute TensorRT or measure peak memory.

Hardware, Environment, and Revisions

Head 249fb6ad7749867463579dd1f9334cd4fcde7e64, integrated base d79aaae8. Windows Python 3.13 CPU, NumPy, safetensors and ml_dtypes 0.6.0. Fixtures are small synthetic checkpoints; no pretrained weights downloaded.

Not Run / Remaining Gaps

No local TensorRT conversion, pretrained GPU parity or performance tests. New-head public/protected CI must finish. Prior-head successes and failures do not qualify this head. Initial local matrix lacked ml_dtypes; installing the CPU dependency resolved those environment failures before the recorded pass.

Contributor Self-Review

I have completed a self-review of this change.

Reviewed boundary rejection, valid mappings, upstream memory behavior, family ownership and optimized execution.

Notes For Future Readers

Review explicit guards, family audits and runtime regressions. No bundle rebuild is required solely for validation guards. This integration includes upstream Community GPU family fixes without weakening gates.

Risk level

Low
Medium
High

Invalid-input failure types change across several families. CPU tests prove guarded paths, without claiming GPU equivalence.

coderabbitai · 2026-08-27T00:06:08Z

No actionable comments were generated in the recent review. 🎉

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📥 Commits

Reviewing files that changed from the base of the PR and between eb28a0c and 249fb6a.

📒 Files selected for processing (5)

families/deepseek_ocr/model.py
families/glm/model.py
families/gpt2/bundle_provenance.py
families/gpt2/tests/test_prebuilt_validation.py
families/gpt_oss/model.py

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📝 Summary

Summary

Replaces checkpoint-boundary assert statements with explicit ValueError checks across model families. Malformed checkpoint data therefore remains rejected under python -O. The changes also validate Magpie fused-weight ranks, reject unknown Nemotron-H pattern markers, validate the complete XGLM embedding shape, and correct OLMo2 diagnostics.

Adds family-local AST audits for production assertions and regression tests for optimized-Python validation. The audits allow selected internal invariants, including existing Qwen3-Omni assertions. GPT-2 also changes prebuilt-bundle provenance checks to explicit AssertionError raises and tests that those checks remain active under optimization.

Reported results include 32 passing BERT safetensors tests and 151 passing focused checkpoint-validation tests. The author also reported model CI validation, impact validation, Ruff, formatting, and diff checks passing. These reports do not establish the status of current-head public and protected checks. GPU inference, TensorRT conversion, parity, and performance tests were not run.

Architecture impact

Family-owned files: Validation changes, provenance checks, tests, and assertion audits reside in family-owned code under families/.
Shared surfaces: No changes to shared runtime, APIs, ABI, dependencies, or bundle schema are reported. GPT-2 adds family-specific checkpoint provenance validation for prebuilt bundles.
Dependency directions: No new production dependency direction is reported. The regression tests use AST scans, subprocesses, or optimized compilation.
Affected consumers: Consumers that depend on AssertionError for malformed checkpoint validation must account for the new ValueError behavior. GPT-2 prebuilt-bundle validation continues to raise AssertionError explicitly, including under optimized Python.
Unresolved blast-radius questions: Current-head public and protected check results are not established. GPU and TensorRT paths, pretrained-model parity, and performance remain untested. Downstream compatibility with changed exception types is not established.

Review outcome

HUMAN REVIEW REQUIRED

Available evidence does not resolve current-head validation or downstream exception compatibility. This outcome does not imply a violation or prove correctness.

Walkthrough

Checkpoint shape and selected configuration checks now raise explicit errors across model families. AST-based tests detect production assertions, and regression tests cover malformed and valid inputs under normal and optimized Python.

Changes

Checkpoint and configuration validation

Layer / File(s)	Summary
Explicit validation across model families `families//model.py`, `families//checkpoint_mapper.py`, `families/bert/weights/__init__.py`, `families/gpt2/bundle_provenance.py`	Checkpoint shape and selected configuration checks now use explicit exceptions. Nemotron-H rejects unsupported layer-pattern characters. GPT-2 bundle provenance checks raise `AssertionError` explicitly.
Assertion audits and regression coverage `families//tests/test_optimized_checkpoint_guards.py`, `families//tests/test_checkpoint_validation.py`, `families/gpt2/tests/test_prebuilt_validation.py`, `families/nemotron_h/tests/test_weight_mapping.py`	Family tests scan eligible production files for assertions. Regression tests cover malformed inputs and valid mappings, including under optimized Python.

Priority: ⬆️ High

Estimated code review effort: 4 (Complex) | ~60 minutes

Severity of issue fixed: High

Merge Risk: ⚪ Minimal · up to 249fb

No actionable issue is established in the reviewed changes. Merge readiness remains subject to the normal current-head checks.

🚥 Pre-merge checks | ✅ 6 | ❌ 2 | ❓ 1

❌ Failed checks (2 warnings, 1 inconclusive)

Check name	Explanation	Resolution
Out of Scope Changes check	The changes include unrelated GPT-2 prebuilt bundle validation work. `families/gpt2/bundle_provenance.py` changes validation for bundle signatures, headers, sections, provenance version, checkpoint id…	Remove the GPT-2 prebuilt provenance changes from this pull request or link them to a requirement that covers this bundle-validation work. Keep only the checkpoint-boundary changes required by `#1052`.
Docstring Coverage	Docstring coverage is 29.92% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 127 functions across 104 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.
Linked Issues check	The implementation addresses the coding objectives in `#1052`. The production changes replace checkpoint-boundary assertions with explicit `ValueError` checks, add family audits, update DistilBERT and N…	Provide the current-head focused, consistency, and public CPU validation results. Until those results are available, current-head compliance with the full `#1052` validation requirements cannot be confirmed.

✅ Passed checks (6 passed)

Check name	Status	Explanation
Family Ownership Boundary		No cross-family dependency was introduced. The authoritative diff changes files only under individual `families/<family>` roots. The new BERT subprocess test imports only `families.bert` (`families/be…
Shared Semantic Neutrality		The pull request changes no shared code outside the family-owned scope. The authoritative diff contains only files under `families/`, including family model/checkpoint modules and family tests. The se…
Benchmark Validation Integrity		No benchmark or performance accounting changed. The before/after contract changes checkpoint assertions to explicit validation errors, not measured workload regions. The BERT path tests the same malfo…
Shared Change Blast Radius		The shared-change condition is not triggered. The authoritative diff contains 118 files, and every changed path is under `families/<family>/`. The changes update family-owned model loaders, checkpoint…
Description check		The description is complete and follows the repository template. It explains the motivation, exit criteria, implementation, affected behavior, validation results, environment, remaining gaps, self-rev…
Title check		The title is concise, specific, and accurately summarizes the main change: preserving checkpoint validation when Python runs with optimization.

Full details: Linked Issues check

Explanation

The implementation addresses the coding objectives in #1052. The production changes replace checkpoint-boundary assertions with explicit ValueError checks, add family audits, update DistilBERT and Nemotron-H expectations, and add optimized-Python regression coverage. The reported local results show 193 focused tests passed. The current PR description states that public and protected CI for this head is still pending. Earlier-head results do not establish the required current-head public CPU validation.

Full details: Out of Scope Changes check

Explanation

The changes include unrelated GPT-2 prebuilt bundle validation work. families/gpt2/bundle_provenance.py changes validation for bundle signatures, headers, sections, provenance version, checkpoint identity, and build profiles. families/gpt2/tests/test_prebuilt_validation.py adds optimized tests for those bundle checks. Issue #1052 targets checkpoint-loading boundary assertions and explicitly excludes separate bundle-magic validation. Preserving the bundle schema does not connect these production changes to that scope.

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Actionable comments posted: 4

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Inline comments:
In `@python/tensorrt_model_connect/families/magpie_tts/plugin.py`:
- Around line 137-138: Update both _split_fused_qkv and _split_fused_kv to
validate w.ndim == 2 before accessing shape dimensions, raising ValueError for
any non-matrix input. Keep the existing fused-dimension and shape validation for
valid-rank tensors so one-dimensional inputs cannot pass or trigger IndexError.

In `@python/tensorrt_model_connect/families/nemotron_h/plugin.py`:
- Around line 102-103: Update _parse_layer_types to validate the raw pattern
before filtering or interpreting characters: require its length to equal
num_layers and reject any character outside M, -, and *. Preserve the existing
layer-type parsing for valid patterns and raise ValueError for malformed
patterns.

In `@python/tensorrt_model_connect/families/olmo2/plugin.py`:
- Line 72: Update the embedding shape error message in the relevant validation
logic to use the Python comparison spelling “!=” instead of “!==”, matching the
existing OLMo diagnostic wording.

In `@python/tensorrt_model_connect/families/xglm/plugin.py`:
- Around line 77-78: Update the embedding validation in the plugin
initialization path to require the complete shape exactly equals (vocab,
hidden), rather than checking only embedding.shape[0]. Ensure rank-0 and
otherwise malformed tensors raise the intended ValueError, while preserving the
existing error-reporting behavior and model-family configuration boundaries.

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📥 Commits

Reviewing files that changed from the base of the PR and between 49aa14f and ef6ec40.

📒 Files selected for processing (60)

python/tensorrt_model_connect/families/albert/plugin.py
python/tensorrt_model_connect/families/bert/weights/__init__.py
python/tensorrt_model_connect/families/bloom/plugin.py
python/tensorrt_model_connect/families/codegen/plugin.py
python/tensorrt_model_connect/families/convbert/plugin.py
python/tensorrt_model_connect/families/deberta/model/parallel.py
python/tensorrt_model_connect/families/deberta/plugin.py
python/tensorrt_model_connect/families/deepseek_ocr/plugin.py
python/tensorrt_model_connect/families/deepseek_v2/plugin.py
python/tensorrt_model_connect/families/distilbert/plugin.py
python/tensorrt_model_connect/families/dpr/plugin.py
python/tensorrt_model_connect/families/eagle_vlm/plugin.py
python/tensorrt_model_connect/families/electra/plugin.py
python/tensorrt_model_connect/families/falcon/plugin.py
python/tensorrt_model_connect/families/fnet/plugin.py
python/tensorrt_model_connect/families/gemma/checkpoint_mapper.py
python/tensorrt_model_connect/families/glm/plugin.py
python/tensorrt_model_connect/families/gpt2/plugin.py
python/tensorrt_model_connect/families/gpt_neo/plugin.py
python/tensorrt_model_connect/families/gpt_neox/plugin.py
python/tensorrt_model_connect/families/gpt_oss/plugin.py
python/tensorrt_model_connect/families/granite/checkpoint_mapper.py
python/tensorrt_model_connect/families/internlm/plugin.py
python/tensorrt_model_connect/families/internvl/plugin.py
python/tensorrt_model_connect/families/lance/checkpoint_mapper.py
python/tensorrt_model_connect/families/llama/checkpoint_mapper.py
python/tensorrt_model_connect/families/locateanything/plugin.py
python/tensorrt_model_connect/families/magpie_tts/plugin.py
python/tensorrt_model_connect/families/mamba/plugin.py
python/tensorrt_model_connect/families/mistral/checkpoint_mapper.py
python/tensorrt_model_connect/families/mixtral/plugin.py
python/tensorrt_model_connect/families/modernbert/plugin.py
python/tensorrt_model_connect/families/mpnet/plugin.py
python/tensorrt_model_connect/families/nemotron/plugin.py
python/tensorrt_model_connect/families/nemotron_h/plugin.py
python/tensorrt_model_connect/families/nemotron_labs_diffusion/checkpoint_mapper.py
python/tensorrt_model_connect/families/nemotron_speech_streaming/plugin.py
python/tensorrt_model_connect/families/nemotron_voicechat/native_core.py
python/tensorrt_model_connect/families/olmo/plugin.py
python/tensorrt_model_connect/families/olmo2/plugin.py
python/tensorrt_model_connect/families/opt/plugin.py
python/tensorrt_model_connect/families/personaplex/plugin.py
python/tensorrt_model_connect/families/phi/plugin.py
python/tensorrt_model_connect/families/phi4_multimodal/plugin.py
python/tensorrt_model_connect/families/phi_moe/plugin.py
python/tensorrt_model_connect/families/qwen3_5/plugin.py
python/tensorrt_model_connect/families/qwen3_omni/plugin.py
python/tensorrt_model_connect/families/qwen_moe/plugin.py
python/tensorrt_model_connect/families/qwen_vl/checkpoint_mapper.py
python/tensorrt_model_connect/families/qwen_vl/plugin.py
python/tensorrt_model_connect/families/roberta/plugin.py
python/tensorrt_model_connect/families/rwkv/plugin.py
python/tensorrt_model_connect/families/sana_wm/components/gemma/checkpoint_mapper.py
python/tensorrt_model_connect/families/stablelm/plugin.py
python/tensorrt_model_connect/families/starcoder2/plugin.py
python/tensorrt_model_connect/families/xglm/plugin.py
python/tensorrt_model_connect/families/xlnet/plugin.py
tests/e2e/models/distilbert/test_distilbert_family_plugin.py
tests/e2e/models/nemotron_h/test_nemotron_h_family_plugin.py
tests/tools/test_checkpoint_validation_optimized.py

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yifeif-nv · 2026-08-27T03:31:58Z

@JiaxinD Triggered internal CI for you! Let's see how it goes

yifeif-nv · 2026-08-27T04:39:27Z

@JiaxinD The internal CI is failed but it's not your PR's problem. InternVL3 is broken due to some other changes. I'm working on root causing it now

yifeif-nv · 2026-08-27T05:06:40Z

Okay, we found the root cause. It was a fix in the JSON parser that exposed a real bug in our previous model run.

I'm working on a PR to fix that, and once that is in, we can merge your PR.

JiaxinD · 2026-08-27T05:47:57Z

Sounds good, thank you!

yifeif-nv · 2026-08-27T06:38:13Z

Sounds good, thank you!

#1055 merged. Retriggering CI for you

Run the complete CPU-safe Python and declared CPU CTest inventories on every PR while keeping GPU model proofs selective. Separate CTest ownership from resource labels, correct stale GPU metadata, and add the missing InternVL serialized-config producer/consumer contract. Refs: NVIDIA#1053, NVIDIA#1055 Signed-off-by: yifeif-nv <yifeif-nv@users.noreply.github.com>

Run the complete CPU-safe Python and declared CPU CTest inventories on every PR while keeping GPU model proofs selective. Separate CTest ownership from resource labels, correct stale GPU metadata, and add family-owned serialized-config producer/consumer contracts for InternVL and LocateAnything. Refs: NVIDIA#1053, NVIDIA#1055 Signed-off-by: yifeif-nv <yifeif-nv@users.noreply.github.com>

Run the complete CPU-safe Python and declared CPU CTest inventories on every PR while keeping GPU model proofs selective. Separate CTest ownership from resource labels, correct stale GPU metadata, and add family-owned serialized-config producer/consumer contracts for composite decoder families exposed by strict JSON parsing. Refs: NVIDIA#1053, NVIDIA#1055 Signed-off-by: yifeif-nv <yifeif-nv@users.noreply.github.com>

yifeif-nv · 2026-08-27T17:41:50Z

@JiaxinD can you help to rebase this PR to TOT to include the latest fix on the CI

Replace checkpoint-boundary assertions with explicit ValueError guards so malformed external data is still rejected when Python optimization strips assertions. Add an optimized-Python regression and enforce the audited internal-only assertion boundary. Refs: NVIDIA#1052 Signed-off-by: JiaxinD <djx2048@gmail.com>

JiaxinD · 2026-08-27T17:52:04Z

Rebased onto current main (7aa0b21, including #1055) and force-pushed. I also updated the assertion audit for the three new native-KV builder invariants introduced on main; the targeted local checks pass. CI has restarted on 895d451.

yifeif-nv · 2026-08-27T18:14:29Z

Rebased onto current main (7aa0b21, including #1055) and force-pushed. I also updated the assertion audit for the three new native-KV builder invariants introduced on main; the targeted local checks pass. CI has restarted on 895d451.

Internal CI triggered

yifeif-nv · 2026-08-29T21:25:21Z

Since we've made a couple of fixes to the CI already, let me re-trigger a run on the internal CI to see if it can pass this time

Signed-off-by: JiaxinD <djx2048@gmail.com>

JiaxinD · 2026-09-24T05:51:10Z

Current head is a708c69. Stable Community CI and the CPU aggregate passed; the Dev GPU lane stopped during provisioning with a vpc.pool.count quota error, before model tests. The required TRTMC Internal CI / Automated premerge gate has no result for this head. The older Internal CI failure comment refers to 895d451, not this revision.

Could a maintainer trigger Internal CI for the current head when capacity permits? All review threads are resolved. No GPU correctness claim is based on the provisioning failure.

Signed-off-by: JiaxinD <djx2048@gmail.com>

JiaxinD · 2026-10-08T16:04:23Z

@yifeif-nv CPU/Stable passed on eb28a0c9; the added BERT safetensors regressions pass locally (32 cases, 151 scoped tests). Could you trigger Internal CI for this head? Dev reached model tests; I see the independent input-contract fixes are covered by #1611.

Signed-off-by: JiaxinD <djx2048@gmail.com>

JiaxinD requested a review from yifeif-nv as a code owner August 27, 2026 00:05

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JiaxinD mentioned this pull request Aug 27, 2026

Bug: checkpoint validation disappears under optimized Python #1052

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fix(internvl): flatten decoder bundle config #1055

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ci(premerge): frontload CPU unit tests #1062

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JiaxinD force-pushed the fix/checkpoint-validation-python-optimize branch from ef6ec40 to 895d451 Compare August 27, 2026 17:51

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ci: frontload all CPU unit tests #1081

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JiaxinD added 2 commits September 20, 2026 09:13

fix(checkpoints): migrate optimized validation guards

3b7bf02

Signed-off-by: JiaxinD <djx2048@gmail.com>

fix(deberta): remove duplicate validation raise

a708c69

Signed-off-by: JiaxinD <djx2048@gmail.com>

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JiaxinD mentioned this pull request Oct 2, 2026

feat(qwen): add Qwen3-Embedding-0.6B task #1059

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test(bert): exercise checkpoint guards under -O

eb28a0c

Signed-off-by: JiaxinD <djx2048@gmail.com>

yifeif-nv mentioned this pull request Oct 8, 2026

fix(families): repair Community GPU input contracts #1611

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fix(checkpoints): preserve guards after upstream sync

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Signed-off-by: JiaxinD <djx2048@gmail.com>

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Background

Exit Criteria

Implementation

Change categories

Validation

Commands and Results

Hardware, Environment, and Revisions

Not Run / Remaining Gaps

Contributor Self-Review

Notes For Future Readers

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Architecture impact

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Walkthrough

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❌ Failed checks (2 warnings, 1 inconclusive)

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