Add mnist_21 to the test suite
3-layer Deep stack (28x28->256->512->64), has saved weights for all three layers. Passes: reconstruction error 0.039 vs. mean-baseline 0.063. 8/11 pass. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016K8Gu7Qejd11JbdiHZqYAs
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@@ -90,7 +90,7 @@ TestResult testProject(const std::string &name)
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int main()
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{
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std::vector<std::string> projects = {"1-hot", "prims", "norb_small_16h_v2", "norb_small_16h", "mnist_2", "prims_deep", "count", "many", "mnist_deep", "mnist_h32"};
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std::vector<std::string> projects = {"1-hot", "prims", "norb_small_16h_v2", "norb_small_16h", "mnist_2", "prims_deep", "count", "many", "mnist_deep", "mnist_h32", "mnist_21"};
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int numPassed = 0;
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for (const std::string &name : projects)
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