fix(cpu): handle missing oneDNN LSTM bf16 primitive on CPU gracefully - #179
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Included review availability: This review used your included allowance. Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthroughCPU LSTM bf16 runs that lack kernel support or encounter matching oneDNN runtime errors now produce ChangesCPU LSTM bf16 handling
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Bug fix · Severity of issue fixed: Medium Suggested reviewers: Merge Risk: ⚪ Minimal · up to Unsupported CPU LSTM bf16 results are handled distinctly, and the identified verdict-table regression is covered by the test. No merge-blocking issue remains after normal checks. Security Architecture ReviewSecurity architecture risk: 🔵 Low · up to Unsupported outcomes remain distinct from successful results, and the inspected callers gain no new privileges. However, broad error classification can hide unrelated failures as unsupported execution. Retained concerns
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Actionable comments posted: 2
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @demo.py:
- Line 78: Update the cross-device agreement comparison in the code assigning xg
so records marked UNSUPPORTED leave CROSS-GPU unset as “-”, regardless of
whether cross contains the key; compare hashes only for supported local records.
Review comments at @src/experiment.py:
- Around line 79-80: Narrow the error classification in the shown check and the
repeated handlers in the training loop and run_one to match only the missing
oneDNN CPU bf16 LSTM forward-primitive diagnostic; let unrelated RuntimeErrors
propagate even if they mention LSTM or oneDNN.
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demo.pysrc/experiment.pysweep.pytests/test_experiment.py
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…ssification and cross-gpu display
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pushed the update for coderabbit — narrowed the exception matching specifically to primitive descriptor so unrelated runtime errors propagate cleanly, and kept cross-gpu as dash for unsupported runs. all 30 unit tests and quick sweep passing green. |
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Closes #100
Why
Running
demo.py,sweep.py, orrun_experiment.py --model lstm --precision bf16 --device cpuon x86 CPUs crashes inside oneDNN with:RuntimeError: could not create a primitive descriptor for the LSTM forward propagation primitive.As noted in #100, oneDNN doesn't implement a bf16 forward primitive for
nn.LSTMon CPU. Rather than silently running LSTM under fp32 (which hides kernel precision caveats) or crashing the entire sweep/demo, this marks the cell asUNSUPPORTEDon CPU and continues execution cleanly.What changed
src/experiment.py):check_kernel_support()andUnsupportedKernelErrorto probe and catch the missing primitive error.run_one()produces an explicitUNSUPPORTEDrecord (unsupported_reason: "oneDNN on CPU has no LSTM bf16 forward primitive",final_loss: None,reproducible: None)._print_cell()formatsUNSUPPORTED: <reason>cleanly without throwing onfinal_lossformatting.sweep.py):annotate_reference()excludes unsupported cells from reference selection and safely leavesvs_fp32_bitwise/vs_fp32_losstolasNonewithout attemptingmath.isclose()onNone.print_grid()formats theREPROcolumn asUNSUPand displays summary counts (| unsupported: N).demo.py):print_verdict_table()displaysUNSUPPORTEDin theREPRODUCIBLEcolumn instead of throwing.show_debate_hook()filters out cells without valid losses.tests/test_experiment.py):run_onegracefully catches the primitive descriptor error and returnsstatus="UNSUPPORTED"with the exact reason.print_grid()andprint_verdict_table()format cleanly without exceptions on unsupported records.Verification
Ran tests locally:
Summary by CodeRabbit
UNSUPPORTEDstatus rather than appearing as completed results. Other runtime errors continue to be reported.