Draft: merge any_model: mip_and_realize_models by danielkorzekwa · Pull Request #995 · NVIDIA/Model-Optimizer

danielkorzekwa · 2026-03-06T14:13:41Z

What does this PR do?

Merging dkorzekwa/mip_and_realize_models into dkorzekwa/any_model_calc_one_block_scores - this MR is only for reviewing. Ultimately dkorzekwa/mip_and_realize_models should be merged into feature/puzzletron once dkorzekwa/any_model_calc_one_block_scores is merged there.

Summary by CodeRabbit

Release Notes

New Features
- Enabled model realization step during compression workflow after scoring phase completes.
Bug Fixes
- Fixed key-value head calculation in attention configuration sourcing.
Tests
- Strengthened validation checks for compression artifacts and output directories; added rank-aware assertions for model compression expectations.
Chores
- Minor documentation formatting updates.

- Add converter, model_descriptor, puzzformer, and llama model support - Selective merge of anymodel functionality Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…s merged) Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…tion_scoring

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…tion_scoring

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…tion_scoring

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…tion_scoring

…nymodel_pruning

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

coderabbitai · 2026-03-06T14:18:57Z

📝 Walkthrough

Walkthrough

This PR modifies the Puzzletron model optimization pipeline by changing how key-value head counts are computed from block configuration, enabling the MIP realization step in the main pipeline, and replacing disabled test assertions with active validation checks for post-processing artifacts.

Changes

Cohort / File(s)	Summary
Pipeline Logic `modelopt/torch/puzzletron/mip/run_puzzle.py`, `modelopt/torch/puzzletron/puzzletron.py`	Updated key-value head computation to source directly from `block_config.attention.num_key_value_heads` instead of deriving from subblock args. Uncommented and enabled Step 6 MIP realization execution in the main pipeline workflow.
Validation and Testing `modelopt/torch/puzzletron/tools/validate_model.py`, `tests/gpu/torch/puzzletron/test_puzzletron.py`	Minor docstring formatting in validate_model.py. Replaced disabled test assertions with active rank-aware validation checks that verify pruning files, checkpoint directories, MIP solution artifacts, loss metrics, build artifacts, and scoring results.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~12 minutes

🚥 Pre-merge checks | ✅ 3 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Title check	⚠️ Warning	The title 'Draft: merge any_model: mip_and_realize_models' is misleading. It describes a merge operation into an intermediate branch, but the actual changes enable MIP model realization and fix pruning validation logic—not a merge operation.	Use a title that reflects the substantive changes: something like 'Enable MIP model realization and enhance pruning validation' or 'Implement MIP and realize models with improved test coverage'.

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Security Anti-Patterns	✅ Passed	The modifications in run_puzzle.py, puzzletron.py, and validate_model.py only adjust internal logic and uncomment a function call, introducing no new torch.load calls, numpy.load usage, hardcoded trust_remote_code flags, eval/exec statements, or "# nosec" comments.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing Touches

📝 Generate docstrings (stacked PR)
📝 Generate docstrings (commit on current branch)

🧪 Generate unit tests (beta)

Create PR with unit tests
Post copyable unit tests in a comment
Commit unit tests in branch dkorzekwa/mip_and_realize_models

📝 Coding Plan

Generate coding plan for human review comments

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Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…tion_scoring

…nymodel_pruning

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…ld_library_and_stats

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…kwa/any_model_calc_one_block_scores

…wa/mip_and_realize_models

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

…nymodel_pruning

…ld_library_and_stats

…kwa/any_model_calc_one_block_scores

…wa/mip_and_realize_models

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

coderabbitai

🧹 Nitpick comments (2)

tests/gpu/torch/puzzletron/test_puzzletron.py (1)

144-152: Consider defensive handling for missing directory.

If mip_solutions_dir doesn't exist (e.g., due to an earlier step failure), iterdir() will raise FileNotFoundError. A more explicit check could improve debuggability.

Optional: Add existence check before iteration

             # assertions for the mip_and_realize_models step 6
             # Find the MIP solution directory dynamically (e.g., stats_num_local_experts_*)
             mip_solutions_dir = puzzle_dir / "mip/puzzle_solutions"
+            assert mip_solutions_dir.exists(), (
+                f"MIP solutions directory not found: {mip_solutions_dir}"
+            )
             solution_dirs = [
                 d
                 for d in mip_solutions_dir.iterdir()
                 if d.is_dir() and d.name.startswith("stats_num_local_experts_")
             ]

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@tests/gpu/torch/puzzletron/test_puzzletron.py` around lines 144 - 152, The
code assumes mip_solutions_dir exists before calling
mip_solutions_dir.iterdir(); add a defensive existence check (e.g., if not
mip_solutions_dir.exists() or not mip_solutions_dir.is_dir()) before iterating
and raise/assert with a clear error message that includes puzzle_dir and
mip_solutions_dir when missing, or set solution_dirs to an empty list and fail
the subsequent assertion with that informative message; update the block around
mip_solutions_dir, solution_dirs and the following assert to use this check so
FileNotFoundError is avoided and debugging is easier.

modelopt/torch/puzzletron/puzzletron.py (1)

65-74: Minor: Step numbering skips Step 3.

The comments indicate Steps 0, 1, 2, 4, 5, 6 — Step 3 is missing. This might be intentional (perhaps a removed step), but it could cause confusion when referencing steps in logs or documentation.

Consider renumbering for clarity

-    # Step 4: build_library_and_stats (single process)
+    # Step 3: build_library_and_stats (single process)
     if dist.is_master():
         build_library_and_stats.launch_build_library_and_stats(hydra_cfg)
     dist.barrier()

-    # Step 5: calc_one_block_scores (distributed processing)
+    # Step 4: calc_one_block_scores (distributed processing)
     scoring.launch_scoring(hydra_cfg)

-    # Step 6: mip_and_realize_models (distributed processing)
+    # Step 5: mip_and_realize_models (distributed processing)
     mip_and_realize_models.launch_mip_and_realize_model(hydra_cfg)

🤖 Prompt for AI Agents

Verify each finding against the current code and only fix it if needed.

In `@modelopt/torch/puzzletron/puzzletron.py` around lines 65 - 74, The step
comments in puzzletron.py skip Step 3 which is confusing; update the comments
around the sequence that includes dist.is_master(),
build_library_and_stats.launch_build_library_and_stats, dist.barrier(),
scoring.launch_scoring, and mip_and_realize_models.launch_mip_and_realize_model
to either renumber them sequentially (e.g., change "Step 4"→"Step 3", "Step
5"→"Step 4", "Step 6"→"Step 5") or add a brief comment like "Step 3 removed
intentionally" to make the gap explicit and avoid confusion when referencing
steps in logs/docs.

🤖 Prompt for all review comments with AI agents

Verify each finding against the current code and only fix it if needed.

Nitpick comments:
In `@modelopt/torch/puzzletron/puzzletron.py`:
- Around line 65-74: The step comments in puzzletron.py skip Step 3 which is
confusing; update the comments around the sequence that includes
dist.is_master(), build_library_and_stats.launch_build_library_and_stats,
dist.barrier(), scoring.launch_scoring, and
mip_and_realize_models.launch_mip_and_realize_model to either renumber them
sequentially (e.g., change "Step 4"→"Step 3", "Step 5"→"Step 4", "Step 6"→"Step
5") or add a brief comment like "Step 3 removed intentionally" to make the gap
explicit and avoid confusion when referencing steps in logs/docs.

In `@tests/gpu/torch/puzzletron/test_puzzletron.py`:
- Around line 144-152: The code assumes mip_solutions_dir exists before calling
mip_solutions_dir.iterdir(); add a defensive existence check (e.g., if not
mip_solutions_dir.exists() or not mip_solutions_dir.is_dir()) before iterating
and raise/assert with a clear error message that includes puzzle_dir and
mip_solutions_dir when missing, or set solution_dirs to an empty list and fail
the subsequent assertion with that informative message; update the block around
mip_solutions_dir, solution_dirs and the following assert to use this check so
FileNotFoundError is avoided and debugging is easier.

ℹ️ Review info

⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: 7ed33a66-d1fb-4928-ad4d-611f6fb09e49

📥 Commits

Reviewing files that changed from the base of the PR and between eb4b210 and 47b4479.

📒 Files selected for processing (4)

modelopt/torch/puzzletron/mip/run_puzzle.py
modelopt/torch/puzzletron/puzzletron.py
modelopt/torch/puzzletron/tools/validate_model.py
tests/gpu/torch/puzzletron/test_puzzletron.py

💤 Files with no reviewable changes (1)

modelopt/torch/puzzletron/tools/validate_model.py

codecov · 2026-03-13T07:47:25Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 72.12%. Comparing base (eb4b210) to head (1c1e983).
⚠️ Report is 1 commits behind head on feature/puzzletron.

Additional details and impacted files

@@                  Coverage Diff                   @@
##           feature/puzzletron     #995      +/-   ##
======================================================
- Coverage               72.13%   72.12%   -0.02%     
======================================================
  Files                     209      209              
  Lines                   23628    23628              
======================================================
- Hits                    17045    17042       -3     
- Misses                   6583     6586       +3

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

### What does this PR do? Implement puzzletron compression algorithm based on Puzzle paper (https://arxiv.org/abs/2411.19146) <details> <summary> Th list of reviewed and merged MRs that resulted in the feature/puzzletron branch</summary> Merging dkorzekwa/any_model to feature/puzzletron [Add anymodel directories to feature/puzzletron by danielkorzekwa · Pull Request #974 · NVIDIA/Model-Optimizer](#974) - merged [Draft: anymodel activation scoring by danielkorzekwa · Pull Request #989 · NVIDIA/Model-Optimizer](#989) - merged [Draft: Merge anymodel pruning by danielkorzekwa · Pull Request #990 · NVIDIA/Model-Optimizer](#990) - merged [Draft: Merging anymodel:build_library_and_stats by danielkorzekwa · Pull Request #993 · NVIDIA/Model-Optimizer](#993) - merged [Dkorzekwa/any model calc one block scores by danielkorzekwa · Pull Request #994 · NVIDIA/Model-Optimizer](#994) - merged [Draft: merge any_model: mip_and_realize_models by danielkorzekwa · Pull Request #995 · NVIDIA/Model-Optimizer](#995) - merged [Dkorzekwa/any model other modeqls by danielkorztiekwa · Pull Request #1007 · NVIDIA/Model-Optimizer](#1007) - merged PR to 1007: #1039 - merged [Dkorzekwa/anymodel gptoss by danielkorzekwa · Pull Request #1020 · NVIDIA/Model-Optimizer](#1020) - merged [Merge any_model tutorial by danielkorzekwa · Pull Request #1035 · NVIDIA/Model-Optimizer](#1035) - merged [Merge mbridge distillation for any_model by danielkorzekwa · Pull Request #1036 · NVIDIA/Model-Optimizer](#1036) - merged [MR branch for the remaining difference between dkorzekwa/any_model an… by danielkorzekwa · Pull Request #1047 · NVIDIA/Model-Optimizer](#1047) - merged [Dkorzekwa/decilm hf code cleanup by danielkorzekwa · Pull Request #1071 · NVIDIA/Model-Optimizer](#1071) - merged [Dkorzekwa/decilm hf code cleanup 2 by danielkorzekwa · Pull Request #1073 · NVIDIA/Model-Optimizer](#1073) - merged [Dkorzekwa/anymodel subblock stats by danielkorzekwa · Pull Request #1085 · NVIDIA/Model-Optimizer](#1085) - merged [Dkorzekwa/anymodel subblock stats nodecilm by danielkorzekwa · Pull Request #1102 · NVIDIA/Model-Optimizer](#1102) - merged [Dkorzekwa/decilm cleanup post subblockstats by danielkorzekwa · Pull Request #1103 · NVIDIA/Model-Optimizer](#1103) - merged [code clean up by danielkorzekwa · Pull Request #1110 · NVIDIA/Model-Optimizer](#1110) - merged Merging into main: [Activation hooks redesign (reuse hooks component across both minitron and puzzletron) by danielkorzekwa · Pull Request #1022 · NVIDIA/Model-Optimizer](#1022) - merged [Dkorzekwa/puzzletron use importance hooks from prune by danielkorzekwa · Pull Request #1115 · NVIDIA/Model-Optimizer](#1115) - merged </details>  ### Usage Puzzletron tutorial: https://github.com/NVIDIA/Model-Optimizer/tree/feature/puzzletron/examples/puzzletron ### Testing The main e2e test for compressing 9 models with Puzzletron: https://github.com/NVIDIA/Model-Optimizer/blob/feature/puzzletron/tests/gpu/torch/puzzletron/test_puzzletron.py 2-gpu nightly tests: - https://github.com/NVIDIA/Model-Optimizer/actions/runs/24468209205/job/71501061203 - https://github.com/NVIDIA/Model-Optimizer/actions/runs/24470214159/job/71508152952 ### Before your PR is "*Ready for review*" - Is this change backward compatible?: ✅ - If you copied code from any other sources or added a new PIP dependency, did you follow guidance in `CONTRIBUTING.md`: ✅ - Did you write any new necessary tests?: ✅ - Did you update [Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?: ✅  ## Summary by CodeRabbit * **New Features** * Added Puzzletron: end-to-end heterogeneous pruning & NAS workflow with AnyModel support, example pipelines, deployment and evaluation utilities, and tools for converting/pruning and exporting compressed checkpoints. * **Documentation** * Comprehensive Puzzletron tutorials, model-specific guides, evaluator instructions, example configs, and changelog entry. * **Chores** * CI/workflow updates (extras installation, longer GPU test timeout), pre-commit hook exclusion updated, and CODEOWNERS entries added.  --------- Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com> Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com> Signed-off-by: Liana Mikaelyan <lmikaelyan@nvidia.com> Signed-off-by: Liana Mikaelyan <45925959+LianaMikael@users.noreply.github.com> Signed-off-by: Daniel Korzekwa <daniel.korzekwa@gmail.com> Signed-off-by: jrausch <jrausch@nvidia.com> Signed-off-by: root <root@pool0-00848.cm.cluster> Co-authored-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com> Co-authored-by: Liana Mikaelyan <lmikaelyan@nvidia.com> Co-authored-by: Liana Mikaelyan <45925959+LianaMikael@users.noreply.github.com> Co-authored-by: J Rausch <38429553+j-rausch@users.noreply.github.com> Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>

danielkorzekwa added 26 commits March 4, 2026 11:33

Add anymodel directories to feature/puzzletron

e82164f

- Add converter, model_descriptor, puzzformer, and llama model support - Selective merge of anymodel functionality Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Make any_model conversion working.

2099df3

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Update child_init.py with anymodel version

eb5cf8a

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

fix attention pruning

c9de41c

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Add trust_remote_code to load_model_config (default to false)

3c1bc1f

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Make activation scoring working

8357136

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Comment all tested models aside of llama_3_1_8b_instruct

6cc2194

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Delete not needed decilm test

ee4e1e3

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Fix broken tests

449b523

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Update puzzletron_nas_pluging to any_model version

fb27bba

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Correct test resources used by tests.

b350f82

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Disable puzzletron tests (will be enabled after all any_model logic i…

fafe5a3

…s merged) Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_core' into dkorzekwa/anymodel_activa…

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…tion_scoring

Comment out not implemented models.

c717852

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

format python docs

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Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_core' into dkorzekwa/anymodel_activa…

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…tion_scoring

Use trust_remote_code in force_cache_dynamic_modules()

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Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_core' into dkorzekwa/anymodel_activa…

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…tion_scoring

Fix anymodel pruning

ecd953e

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Fix buid docs issue.

ee8f538

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_core' into dkorzekwa/anymodel_activa…

c9b76a1

…tion_scoring

Merge branch 'dkorzekwa/anymodel_activation_scoring' into dkorzekwa/a…

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…nymodel_pruning

Merging build_library_and_stats

0ad6d92

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merging anymodel: calc_one_block_scores

995eb1a

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Mering any_model: calc_one_block_scores

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Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

merge any_model: mip_and_realize_models

ed5c00f

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

danielkorzekwa requested a review from a team as a code owner March 6, 2026 14:13

kevalmorabia97 approved these changes Mar 6, 2026

View reviewed changes

Clarify readme and avoid reusing the same reference in llama_converter.

47414d5

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

danielkorzekwa added 17 commits March 9, 2026 09:36

Fix tied-embedding handling before writing the safetensors index.

a8305d8

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Fix NaN ranking currently selects NaNs as “best” experts by default.

68421a5

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Code clean up.

d6b8028

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Code clean up.

ecd2341

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

code clean up

f9d845d

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_core' into dkorzekwa/anymodel_activa…

d171b01

…tion_scoring

Merge branch 'dkorzekwa/anymodel_activation_scoring' into dkorzekwa/a…

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…nymodel_pruning

code clean up

934ab2f

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_pruning' into dkorzekwa/anymodel_bui…

0f14ec3

…ld_library_and_stats

remove not needed comment

dcb9e02

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_build_library_and_stats' into dkorze…

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…kwa/any_model_calc_one_block_scores

Merge branch 'dkorzekwa/any_model_calc_one_block_scores' into dkorzek…

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…wa/mip_and_realize_models

Fix a broken test_puzzletron test on 2 gpus.

176a435

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Merge branch 'dkorzekwa/anymodel_activation_scoring' into dkorzekwa/a…

02e2c9b

…nymodel_pruning

Merge branch 'dkorzekwa/anymodel_pruning' into dkorzekwa/anymodel_bui…

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…ld_library_and_stats

Merge branch 'dkorzekwa/anymodel_build_library_and_stats' into dkorze…

aa1eb3e

…kwa/any_model_calc_one_block_scores

Merge branch 'dkorzekwa/any_model_calc_one_block_scores' into dkorzek…

2b84a96

…wa/mip_and_realize_models

Base automatically changed from dkorzekwa/any_model_calc_one_block_scores to feature/puzzletron March 12, 2026 23:37

danielkorzekwa requested a review from a team as a code owner March 12, 2026 23:37

danielkorzekwa requested a review from realAsma March 12, 2026 23:37

danielkorzekwa added 2 commits March 13, 2026 00:32

Merge branch 'feature/puzzletron' into dkorzekwa/mip_and_realize_models

313260d

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

Fix comments

47b4479

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

coderabbitai Bot reviewed Mar 13, 2026

View reviewed changes

fix tox -e build-docs issue

1c1e983

Signed-off-by: Daniel Korzekwa <dkorzekwa@nvidia.com>

danielkorzekwa merged commit 8fe318d into feature/puzzletron Mar 13, 2026
28 checks passed

danielkorzekwa deleted the dkorzekwa/mip_and_realize_models branch March 13, 2026 09:22

danielkorzekwa mentioned this pull request Mar 25, 2026

Merge puzzletron compression algorithm #1121

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Draft: merge any_model: mip_and_realize_models#995

Draft: merge any_model: mip_and_realize_models#995
danielkorzekwa merged 47 commits intofeature/puzzletronfrom
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