echodict/llama.cpp

1#include "models.h"2 3llm_build_starcoder::llm_build_starcoder(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 8    ggml_tensor * cur;9    ggml_tensor * inpL;10 11    inpL = build_inp_embd(model.tok_embd);12 13    // inp_pos - contains the positions14    ggml_tensor * inp_pos = build_inp_pos();15 16    auto * inp_attn = build_attn_inp_kv();17 18    ggml_tensor * pos = ggml_get_rows(ctx0, model.pos_embd, inp_pos);19    cb(pos, "pos_embd", -1);20 21    inpL = ggml_add(ctx0, inpL, pos);22    cb(inpL, "inpL", -1);23 24    ggml_tensor * inp_out_ids = build_inp_out_ids();25 26    for (int il = 0; il < n_layer; ++il) {27        cur = build_norm(inpL,28                model.layers[il].attn_norm,29                model.layers[il].attn_norm_b,30                LLM_NORM, il);31        cb(cur, "attn_norm", il);32 33        // self-attention34        {35            auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,36                    n_embd_head, n_head, n_head_kv, il);37 38            cur = build_attn(inp_attn,39                    model.layers[il].wo, model.layers[il].wo_b, model.layers[il].wo_s,40                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);41        }42        if (il == n_layer - 1 && inp_out_ids) {43            cur  = ggml_get_rows(ctx0,  cur, inp_out_ids);44            inpL = ggml_get_rows(ctx0, inpL, inp_out_ids);45        }46        // add the input47        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);48        cb(ffn_inp, "ffn_inp", il);49 50        // FF51        {52            cur = build_norm(ffn_inp,53                    model.layers[il].ffn_norm,54                    model.layers[il].ffn_norm_b,55                    LLM_NORM, il);56            cb(cur, "ffn_norm", il);57 58            cur = build_ffn(cur,59                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,60                    NULL,                      NULL,                        NULL,61                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,62                    NULL,63                    LLM_FFN_GELU, LLM_FFN_SEQ, il);64            cb(cur, "ffn_out", il);65        }66        cur = ggml_add(ctx0, cur, ffn_inp);67 68        cur = build_cvec(cur, il);69        cb(cur, "l_out", il);70 71        // input for next layer72        inpL = cur;73    }74    cur = build_norm(inpL,75            model.output_norm,76            model.output_norm_b,77            LLM_NORM, -1);78 79    cb(cur, "result_norm", -1);80    res->t_embd = cur;81 82    cur = build_lora_mm(model.output, cur);83 84    cb(cur, "result_output", -1);85    res->t_logits = cur;86 87    ggml_build_forward_expand(gf, cur);88}89