echodict/llama.cpp

1#include "models.h"2 3llm_build_bailingmoe::llm_build_bailingmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {4    ggml_tensor * cur;5    ggml_tensor * inpL;6 7    inpL = build_inp_embd(model.tok_embd);8 9    // inp_pos - contains the positions10    ggml_tensor * inp_pos = build_inp_pos();11 12    auto * inp_attn = build_attn_inp_kv();13 14    ggml_tensor * inp_out_ids = build_inp_out_ids();15 16    for (int il = 0; il < n_layer; ++il) {17        ggml_tensor * inpSA = inpL;18 19        // norm20        cur = build_norm(inpL,21                model.layers[il].attn_norm, NULL,22                LLM_NORM_RMS, il);23        cb(cur, "attn_norm", il);24 25        // self-attention26        {27            // rope freq factors for llama3; may return nullptr for llama2 and other models28            ggml_tensor * rope_factors = model.get_rope_factors(cparams, il);29 30            // compute Q and K and RoPE them31            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,32                    n_embd_head_k, n_head, n_head_kv, il);33 34            Qcur = ggml_rope_ext(35                    ctx0, Qcur, inp_pos, rope_factors,36                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,37                    ext_factor, attn_factor, beta_fast, beta_slow38                    );39 40            Kcur = ggml_rope_ext(41                    ctx0, Kcur, inp_pos, rope_factors,42                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,43                    ext_factor, attn_factor, beta_fast, beta_slow44                    );45 46            cb(Qcur, "Qcur", il);47            cb(Kcur, "Kcur", il);48            cb(Vcur, "Vcur", il);49 50            cur = build_attn(inp_attn,51                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,52                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_rot)), il);53        }54 55        if (il == n_layer - 1 && inp_out_ids) {56            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);57            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);58        }59 60        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);61        cb(ffn_inp, "ffn_inp", il);62 63        cur = build_norm(ffn_inp,64                model.layers[il].ffn_norm, NULL,65                LLM_NORM_RMS, il);66        cb(cur, "ffn_norm", il);67 68        ggml_tensor * moe_out =69            build_moe_ffn(cur,70                    model.layers[il].ffn_gate_inp,71                    model.layers[il].ffn_up_exps,72                    model.layers[il].ffn_gate_exps,73                    model.layers[il].ffn_down_exps,74                    nullptr,75                    n_expert, n_expert_used,76                    LLM_FFN_SILU, hparams.expert_weights_norm,77                    hparams.expert_weights_scale,78                    LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,79                    il);80        cb(moe_out, "ffn_moe_out", il);81 82        // FFN shared expert83        {84            ggml_tensor * ffn_shexp = build_ffn(cur,85                    model.layers[il].ffn_up_shexp,   NULL, NULL,86                    model.layers[il].ffn_gate_shexp, NULL, NULL,87                    model.layers[il].ffn_down_shexp, NULL, NULL,88                    NULL,89                    LLM_FFN_SILU, LLM_FFN_PAR, il);90            cb(ffn_shexp, "ffn_shexp", il);91 92            cur = ggml_add(ctx0, moe_out, ffn_shexp);93            cb(cur, "ffn_out", il);94        }95 96        cur = ggml_add(ctx0, cur, ffn_inp);97 98        cur = build_cvec(cur, il);99        cb(cur, "l_out", il);100 101        // input for next layer102        inpL = cur;103    }104 105    cur = inpL;106 107    cur = build_norm(cur,108            model.output_norm, NULL,109            LLM_NORM_RMS, -1);110 111    cb(cur, "result_norm", -1);112    res->t_embd = cur;113 114    // lm_head115    cur = build_lora_mm(model.output, cur);116 117    cb(cur, "result_output", -1);118    res->t_logits = cur;119 120    ggml_build_forward_expand(gf, cur);121}122