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Fix fsdp2_aware_weight_update masking setup errors with UnboundLocalError - #2295

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Fix fsdp2_aware_weight_update masking setup errors with UnboundLocalError#2295
harshal-96 wants to merge 2 commits into
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harshal-96:fix/fsdp2-weight-update-error-masking

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@harshal-96 harshal-96 commented Sep 1, 2026

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What does this PR do?

Type of change: Bug fix

Overview: Fixes #1859.

fsdp2_aware_weight_update assigns root_module, fsdp_param_group and fsdp_param_mapping only after unshard() succeeds inside the try block, but the finally block referenced them unconditionally. When setup fails — typically a CUDA OOM raised by unshard() while exporting a large MoE model — the finally block raised UnboundLocalError, which (per Python semantics) replaces the original exception and hides the real failure from the user.

This PR initializes fsdp_param_mapping as a None sentinel before the try and skips the finally-block update when setup never completed, so the original error propagates unchanged. When setup did complete, behavior is identical to before.

Testing

  • New CPU regression test test_fsdp2_aware_weight_update_preserves_setup_error: simulates a setup failure and asserts the original RuntimeError surfaces. Fails before this change (the error is replaced by a finally-block error), passes after.
  • New sanity test test_fsdp2_aware_weight_update_non_fsdp_body_error_passthrough: non-FSDP roots keep transparent error propagation.
  • Full tests/unit/torch/quantization/test_utils.py: 24 passed.

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Summary by CodeRabbit

  • Bug Fixes
    • Improved reliability of distributed weight updates when setup or parameter discovery fails.
    • Preserved the original error messages for setup failures and errors occurring during processing, instead of replacing them with cleanup-related errors.
  • Tests
    • Added regression coverage for failure handling in distributed and non-distributed update scenarios.

…rror

fsdp2_aware_weight_update assigns root_module, fsdp_param_group and
fsdp_param_mapping only after unshard() succeeds inside the try block,
but the finally block referenced them unconditionally. When setup fails
(typically a CUDA OOM in unshard() while exporting a large MoE model),
the finally block raised UnboundLocalError, which replaces the original
exception and hides the real failure.

Initialize fsdp_param_mapping as a sentinel before the try and skip the
finally-block update when setup never completed, so the original error
propagates unchanged. Adds a CPU regression test that simulates a setup
failure and asserts the original error type surfaces, plus a
passthrough sanity test for non-FSDP roots.

Fixes NVIDIA#1859

Signed-off-by: harshal-96 <harshal.dhandrut@gmail.com>
@harshal-96
harshal-96 requested review from a team as code owners September 1, 2026 06:01
@harshal-96
harshal-96 requested a review from Fridah-nv September 1, 2026 06:01
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📝 Walkthrough

Walkthrough

The FSDP2-aware weight update context manager now preserves setup exceptions instead of replacing them with cleanup-related UnboundLocalError exceptions. Regression tests cover module discovery failures and unshard() failures.

Changes

FSDP2 error handling

Layer / File(s) Summary
Guard cleanup and regression tests
modelopt/torch/quantization/utils/core_utils.py, tests/unit/torch/quantization/test_utils.py
The context manager initializes fsdp_param_mapping before setup and performs parameter updates and resharding only after mapping succeeds. Tests verify that module discovery and unshard() failures propagate unchanged, and that unshard() is called in its failure scenario.

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: ⚪ Minimal · up to 05946

This localized fix preserves the original setup error instead of replacing it with an UnboundLocalError, with regression coverage for the affected paths; no actionable merge-blocking risk remains after normal checks and review.

Suggested reviewers: fridah-nv

🚥 Pre-merge checks | ✅ 5 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 66.67% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 6 functions across 2 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly identifies the primary change: preventing fsdp2_aware_weight_update from replacing setup errors with UnboundLocalError.
Linked Issues check ✅ Passed The changes satisfy issue #1859. The code initializes fsdp_param_mapping before setup and skips cleanup updates when setup fails, so the original exception can propagate. Regression tests cover module…
Out of Scope Changes check ✅ Passed The changes are limited to the requested error-handling fix and related regression tests. No unrelated code changes are evident.
Security Anti-Patterns ✅ Passed PASS. The PR fix changes only modelopt/torch/quantization/utils/core_utils.py and tests. The production additions initialize fsdp_param_mapping and add a conditional; they do not add torch.load,…
Full details: Linked Issues check

Explanation

The changes satisfy issue #1859. The code initializes fsdp_param_mapping before setup and skips cleanup updates when setup fails, so the original exception can propagate. Regression tests cover module discovery and unshard() failures.

Full details: Security Anti-Patterns

Explanation

PASS. The PR fix changes only modelopt/torch/quantization/utils/core_utils.py and tests. The production additions initialize fsdp_param_mapping and add a conditional; they do not add torch.load, numpy.load, allow_pickle=True, trust_remote_code=True, eval, exec, # nosec, subprocess usage, or unsafe YAML loading. The PR also changes no dependency files. No listed security anti-pattern was introduced.

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👉 Steps to fix this

Actionable comments posted: 2

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Inline comments:
In `@tests/unit/torch/quantization/test_utils.py`:
- Line 81: Update the test around _get_enclosing_fsdp_module so module discovery
succeeds, then make root_module.unshard() raise and invoke
create_fsdp_param_mapping(). Assert that the original exception propagates to
the caller, ensuring the test exercises the intended unshard() failure path.
- Around line 69-73: Move the imports for mock, FSDPModule, core_utils, and
fsdp2_aware_weight_update from test/function scope to the module-level import
section in test_utils.py, so failures occur during collection; retain any local
import only with a brief comment explaining a required circular-import or
optional-dependency reason.
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Reviewing files that changed from the base of the PR and between 8810eb5 and 5becc64.

📒 Files selected for processing (2)
  • modelopt/torch/quantization/utils/core_utils.py
  • tests/unit/torch/quantization/test_utils.py

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Comment thread tests/unit/torch/quantization/test_utils.py Outdated
Comment thread tests/unit/torch/quantization/test_utils.py Outdated
- Parametrize the regression test over both setup-failure points: module
  discovery and the reported scenario where discovery succeeds and
  unshard() itself raises (verified to reproduce the masking before the
  fix and pass after).
- Move test imports to module scope per test guidelines.

Signed-off-by: harshal-96 <harshal.dhandrut@gmail.com>
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fsdp2_aware_weight_update hides the real error with an UnboundLocalError

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