ternlang-core 0.3.3

// Module:  stdlib/models/bert_analog.tern
// Purpose: Bidirectional Encoder (BERT) in Ternary
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// BERT analog. Masked tokens are naturally represented as 'tend'.

struct TritBERT {
    encoder_layers: int,
    w: trittensor<4 x 4>
}

fn mask_trit(token: trit, prob: float) -> trit {
    // Standard BERT masks 15% of tokens. In ternlang, we mask them to 'tend'.
    let mask_flag: trit = reject; // Simulated random roll
    if mask_flag == affirm {
        return tend; // MASK token
    }
    return token;
}

fn nsp_trit(sentence_a: trit[], sentence_b: trit[]) -> trit {
    // Next Sentence Prediction task
    return affirm; // Is next
}

fn bert_forward(model: TritBERT, seq: trittensor<4 x 1>) -> trittensor<4 x 1> {
    @sparseskip
    let out: trittensor<4 x 1> = model.w * seq;
    return out;
}