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  1. AI Platform Core Components
  2. AIPCC-8518

[PyTorch][Upstream CI] Debug RNN Partial Flat Weights Test Failure

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    • Resolution: Unresolved
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      Problem

      Test test_nn::test_partial_flat_weights fails on RHEL 9.6, indicating issues with RNN flat weights parameter handling.

      Root Cause (Suspected)

      RNN layers can use flat weights (single contiguous buffer) for performance. This test checks edge cases that may behave differently on RHEL/H200.

      Impact

      • Tests failing: 1
      • Severity: Very Low - Specific RNN optimization test
      • Production impact: None - RNN functionality works correctly

      Current Workaround

      Test excluded in workflow configuration

      Acceptance Criteria

      • [ ] Root cause identified with error analysis
      • [ ] Fix applied or determined to be platform-specific limitation
      • [ ] test_partial_flat_weights passes on RHEL

      References

              rh-ee-sugeorge Subin George
              rh-ee-sugeorge Subin George
              PyTorch Infrastructure
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                Created:
                Updated: