Felipe97/llama-cpp-compiled

1#include "models.h"2 3void llama_model_eurobert::load_arch_hparams(llama_model_loader & ml) {4    ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);5 6    if (hparams.n_layer() == 12) {7        type = LLM_TYPE_SMALL;  // 0.2B8    }9}10 11void llama_model_eurobert::load_arch_tensors(llama_model_loader &) {12    LLAMA_LOAD_LOCALS;13 14    tok_embd = create_tensor(tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab}, 0);15 16    output_norm = create_tensor(tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd}, 0);17 18    for (int i = 0; i < n_layer; ++i) {19        auto & layer = layers[i];20 21        layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);22 23        create_tensor_qkv(layer, i, n_embd, n_embd, n_embd_gqa, n_embd_gqa, 0);24        layer.wo = create_tensor(tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd}, 0);25 26        layer.ffn_norm = create_tensor(tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd}, 0);27 28        layer.ffn_gate = create_tensor(tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff}, 0);29        layer.ffn_up   = create_tensor(tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff}, 0);30        layer.ffn_down = create_tensor(tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd}, 0);31    }32}33 34std::unique_ptr<llm_graph_context> llama_model_eurobert::build_arch_graph(const llm_graph_params & params) const {35    return std::make_unique<graph>(*this, params);36}37 38llama_model_eurobert::graph::graph(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {39    const int64_t n_embd_head = hparams.n_embd_head_v();40 41    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());42 43    ggml_tensor * cur;44    ggml_tensor * inpL;45    ggml_tensor * inp_pos = build_inp_pos();46 47    inpL = build_inp_embd(model.tok_embd);48    cb(inpL, "inp_embd", -1);49 50    auto * inp_attn = build_attn_inp_no_cache();51 52    ggml_tensor * inp_out_ids = build_inp_out_ids();53 54    for (int il = 0; il < n_layer; ++il) {55        ggml_tensor * cur = inpL;56 57        cur = build_norm(inpL,58                model.layers[il].attn_norm, NULL,59                LLM_NORM_RMS, il);60 61        {62            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,63                    n_embd_head, n_head, n_head_kv, il);64 65            Qcur = ggml_rope_ext(66                    ctx0, Qcur, inp_pos, nullptr,67                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,68                    ext_factor, attn_factor, beta_fast, beta_slow69                    );70 71            Kcur = ggml_rope_ext(72                    ctx0, Kcur, inp_pos, nullptr,73                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,74                    ext_factor, attn_factor, beta_fast, beta_slow75                    );76 77            cb(Qcur, "Qcur", il);78            cb(Kcur, "Kcur", il);79            cb(Vcur, "Vcur", il);80 81            cur = build_attn(inp_attn,82                    model.layers[il].wo, nullptr, model.layers[il].wo_s,83                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);84            cb(cur, "kqv_out", il);85        }86 87        if (il == n_layer - 1 && inp_out_ids) {88            cur  = ggml_get_rows(ctx0,  cur, inp_out_ids);89            inpL = ggml_get_rows(ctx0, inpL, inp_out_ids);90        }91 92        cur = ggml_add(ctx0, cur, inpL);93 94        ggml_tensor * ffn_inp = cur;95        cb(ffn_inp, "ffn_inp", il);96 97        cur = build_norm(ffn_inp,98                model.layers[il].ffn_norm, NULL,99                LLM_NORM_RMS, il);100        cb(cur, "ffn_norm", il);101 102        cur = build_ffn(cur,103                model.layers[il].ffn_up, NULL, NULL,104                model.layers[il].ffn_gate, NULL, NULL,105                model.layers[il].ffn_down, NULL, NULL,106                NULL, LLM_FFN_SILU, LLM_FFN_PAR, il);107        cb(cur, "ffn_out", il);108 109        cur = ggml_add(ctx0, cur, ffn_inp);110 111        // input for next layer112        inpL = cur;113    }114    cur = inpL;115 116    cur = build_norm(cur,117            model.output_norm, NULL,118            LLM_NORM_RMS, -1);119 120    cb(cur, "result_embd", -1);121    res->t_embd = cur;122 123    ggml_build_forward_expand(gf, cur);124}125