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- Add .github/workflows/build-test.yml for automated testing - Add tests/ directory with TypeScript test runner - Add docs/CICD.md documentation - Remove .gitlab-ci.yml (migrated to GitHub Actions) - Update .gitignore for test artifacts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
33 lines
1.1 KiB
YAML
33 lines
1.1 KiB
YAML
id: TC-INFERENCE-004
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name: CUBLAS Fallback Verification
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suite: inference
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priority: 4
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timeout: 120000
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dependencies:
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- TC-INFERENCE-002
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steps:
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- name: Check for CUBLAS errors in logs
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command: cd docker && docker compose logs 2>&1 | grep -i "CUBLAS_STATUS" | grep -v "SUCCESS" | head -10 || echo "No CUBLAS errors"
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- name: Check compute capability detection
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command: cd docker && docker compose logs 2>&1 | grep -iE "compute|capability|cc.*3" | head -10 || echo "No compute capability logs"
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- name: Verify no GPU errors
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command: cd docker && docker compose logs 2>&1 | grep -iE "error|fail" | grep -i gpu | head -10 || echo "No GPU errors"
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criteria: |
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CUBLAS should work correctly on Tesla K80 using legacy fallback.
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Expected:
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- No CUBLAS_STATUS_ARCH_MISMATCH errors
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- No CUBLAS_STATUS_NOT_SUPPORTED errors
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- Compute capability 3.7 may be mentioned in debug logs
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- No fatal GPU-related errors
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The K80 uses legacy CUBLAS functions (cublasSgemmBatched)
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instead of modern Ex variants. This should work transparently.
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Accept warnings. Only fail on actual CUBLAS errors.
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