The upstream CMake neural library source set is wrapped for FPM in REAL64/INT32 mode with single-image coarrays and OpenMP. The deterministic consumer writes and loads a tiny two-dense-layer ReLU network, checks four predictions against independently calculated weights and biases, and verifies saving and reloading the model. K (Approximation) describes the tested neural-network inference. Training, Keras conversion tools, dropout and batch normalization are not verified; no optimization classification is inferred from their presence.
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Build record verified 2026-10-29.
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The upstream CMake neural library source set is wrapped for FPM in REAL64/INT32 mode with single-image coarrays and OpenMP. The deterministic consumer writes and loads a tiny two-dense-layer ReLU network, checks four predictions against independently calculated weights and biases, and verifies saving and reloading the model. K (Approximation) describes the tested neural-network inference. Training, Keras conversion tools, dropout and batch normalization are not verified; no optimization classification is inferred from their presence. The K driver adds a non-diagonal 2-3-2 ReLU/linear network, 25 two-dimensional grid inputs and 50 original/restored predictions against scalar forward sums. Save/reload is checked; training and approximation quality are not certified.