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https://github.com/MLSysBook/TinyTorch.git
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884f024743
Module 15 (Quantization): - Added locked=true to test_module cell (line 1523) - Added NBGrader metadata to systems-thinking markdown cell (line 1751) - Added schema_version: 3 to both cells Module 16 (Compression): - Added NBGrader metadata to 6 solution cells: * measure-sparsity (line 380) * magnitude-prune (line 511) * structured-prune (line 675) * low-rank-approx (line 843) * distillation (line 1013) * compress-model-comprehensive (line 1234) - Added NBGrader metadata to 6 test cells: * test-measure-sparsity (line 427) - 5 points * test-magnitude-prune (line 567) - 10 points * test-structured-prune (line 733) - 10 points * test-low-rank (line 888) - 10 points * test-distillation (line 1133) - 15 points * test-compression-integration (line 1300) - 20 points - Total: 70 points for Module 16 Result: - Module 15: 0 P0-BLOCKER, 0 P1-IMPORTANT (was 1 P0 + 1 P1) - Module 16: 0 P0-BLOCKER, 0 P1-IMPORTANT (was 12 P0) - Both modules now production-ready for NBGrader deployment(https://claude.com/claude-code)