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Memory-Efficient Attention Kernels

Evaluate and integrate next-generation attention kernels to boost throughput while safeguarding reproducibility and reliability.

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Reproducibility safeguards

  • Documentation: Maintain a kernel dossier with version, source commit, compiler flags, and environment details.
  • Lockstep testing: Integrate parity tests into CI to catch regressions when upgrading dependencies.
  • Fallback paths: Keep a reliable kernel available for production rollbacks.
  • Numerical guardrails: Monitor for NaNs, infs, and drift during long training runs.
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