forward method
Standard forward pass for token IDs (used in NLP tasks).
Implementation
List<ValueVector> forward(List<int> idx) {
final T = idx.length; // Current sequence length
if (T > blockSize) {
throw ArgumentError(
"Input sequence length ($T) exceeds model's block size ($blockSize). "
"Consider truncating or padding the input.");
}
// 1. Get token and position embeddings and sum them
var x = List.generate(T, (t) {
final tok_emb = tokenEmbeddings[idx[t]];
final pos_emb = positionEmbeddings[t];
return tok_emb + pos_emb;
});
// Delegate to the new forwardEmbeddings method
return _forwardThroughBlocks(x);
}