echodict/llama.cpp

1#include "models.h"2 3llm_build_olmoe::llm_build_olmoe(const llama_model & model, const llm_graph_params & params) : llm_graph_context(params) {4    const int64_t n_embd_head = hparams.n_embd_head_v();5 6    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());7    GGML_ASSERT(n_embd_head == n_rot);8 9    ggml_tensor * cur;10    ggml_tensor * inpL;11 12    inpL = build_inp_embd(model.tok_embd);13 14    // inp_pos - contains the positions15    ggml_tensor * inp_pos = build_inp_pos();16 17    auto * inp_attn = build_attn_inp_kv();18 19    ggml_tensor * inp_out_ids = build_inp_out_ids();20 21    for (int il = 0; il < n_layer; ++il) {22        ggml_tensor * inpSA = inpL;23 24        // norm25        cur = build_norm(inpL,26                model.layers[il].attn_norm, NULL,27                LLM_NORM_RMS, il);28        cb(cur, "attn_norm", il);29 30        // self_attention31        {32            // compute Q and K and RoPE them33            ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);34            cb(Qcur, "Qcur", il);35 36            ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);37            cb(Kcur, "Kcur", il);38 39            ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);40            cb(Vcur, "Vcur", il);41 42            Qcur = build_norm(Qcur, model.layers[il].attn_q_norm, NULL,43                    LLM_NORM_RMS, il);44            cb(Qcur, "Qcur_normed", il);45 46            Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL,47                    LLM_NORM_RMS, il);48            cb(Kcur, "Kcur_normed", il);49 50            Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens);51            Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);52            Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);53 54            Qcur = ggml_rope_ext(55                    ctx0, Qcur, inp_pos, nullptr,56                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,57                    ext_factor, attn_factor, beta_fast, beta_slow58                    );59 60            Kcur = ggml_rope_ext(61                    ctx0, Kcur, inp_pos, nullptr,62                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,63                    ext_factor, attn_factor, beta_fast, beta_slow64                    );65 66            cb(Qcur, "Qcur", il);67            cb(Kcur, "Kcur", il);68            cb(Vcur, "Vcur", il);69 70            cur = build_attn(inp_attn,71                    model.layers[il].wo, NULL, model.layers[il].wo_s,72                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);73        }74        if (il == n_layer - 1 && inp_out_ids) {75            cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);76            inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);77        }78        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);79        cb(ffn_inp, "ffn_inp", il);80 81        // MoE branch82        cur = build_norm(ffn_inp,83                model.layers[il].ffn_norm, NULL,84                LLM_NORM_RMS, il);85        cb(cur, "ffn_norm", il);86 87        cur = build_moe_ffn(cur,88                model.layers[il].ffn_gate_inp,89                model.layers[il].ffn_up_exps,90                model.layers[il].ffn_gate_exps,91                model.layers[il].ffn_down_exps,92                nullptr,93                n_expert, n_expert_used,94                LLM_FFN_SILU, false,95                hparams.expert_weights_scale,96                LLAMA_EXPERT_GATING_FUNC_TYPE_SOFTMAX,97                il);98        cb(cur, "ffn_moe_out", il);99 100        cur = ggml_add(ctx0, cur, ffn_inp);101 102        cur = build_cvec(cur, il);103        cb(cur, "l_out", il);104 105        // input for next layer106        inpL = cur;107    }108    cur = inpL;109 110    cur = build_norm(cur,111            model.output_norm, NULL,112            LLM_NORM_RMS, -1);113 114    cb(cur, "result_norm", -1);115    res->t_embd = cur;116 117    // lm_head118    cur = build_lora_mm(model.output, cur);119 120    cb(cur, "result_output", -1);121    res->t_logits = cur;122 123    ggml_build_forward_expand(gf, cur);124}125