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fix(mnistdemo): declare the CNN input shape (CNN weights could not load) #49

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Merged
michalharakal merged 1 commit into from
Oct 22, 2026
Merged

fix(mnistdemo): declare the CNN input shape (CNN weights could not load) #49

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6 changes: 6 additions & 0 deletions MNISTDemo/shared/src/commonMain/kotlin/sk/ainet/lang/model/MnistModels.kt
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Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,12 @@ fun createMNISTMLP(): Module<FP32, Float> = sequential(evalCtx) {
* - Output: 1568→10 (dense layer)
*/
fun createMNISTCNN(): Module<FP32, Float> = sequential(evalCtx) {
// The per-sample input shape (channels, height, width). The DSL propagates it through the
// conv and pool layers, so flatten() knows it hands 32*7*7 = 1568 features to the dense
// layer; without it the output layer was built with zero input features and the GGUF
// weights could not be loaded.
input(intArrayOf(1, 28, 28))

// Conv block 1: 1→16 channels (grayscale input has 1 channel)
conv2d("stage1.conv1") {
inChannels = 1
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