1#include "models.h"
  2
  3llm_build_codeshell::llm_build_codeshell(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    const int64_t n_embd_gqa  = hparams.n_embd_v_gqa();
  6
  7    GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
  8    GGML_ASSERT(n_embd_head == hparams.n_rot);
  9
 10    ggml_tensor * cur;
 11    ggml_tensor * inpL;
 12
 13    inpL = build_inp_embd(model.tok_embd);
 14
 15    // inp_pos - contains the positions
 16    ggml_tensor * inp_pos = build_inp_pos();
 17
 18    auto * inp_attn = build_attn_inp_kv();
 19
 20    ggml_tensor * inp_out_ids = build_inp_out_ids();
 21
 22    for (int il = 0; il < n_layer; ++il) {
 23        cur = build_norm(inpL,
 24                model.layers[il].attn_norm,
 25                model.layers[il].attn_norm_b,
 26                LLM_NORM, il);
 27        cb(cur, "attn_norm", il);
 28
 29        // self-attention
 30        {
 31            cur = build_lora_mm(model.layers[il].wqkv, cur);
 32            cb(cur, "wqkv", il);
 33
 34            cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
 35            cb(cur, "bqkv", il);
 36
 37            ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head,    n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
 38            ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
 39            ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd + n_embd_gqa));
 40
 41            Qcur = ggml_rope_ext(
 42                    ctx0, Qcur, inp_pos, nullptr,
 43                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
 44                    ext_factor, attn_factor, beta_fast, beta_slow
 45                    );
 46
 47            Kcur = ggml_rope_ext(
 48                    ctx0, Kcur, inp_pos, nullptr,
 49                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
 50                    ext_factor, attn_factor, beta_fast, beta_slow
 51                    );
 52
 53            cb(Qcur, "Qcur", il);
 54            cb(Kcur, "Kcur", il);
 55            cb(Vcur, "Vcur", il);
 56
 57            cur = build_attn(inp_attn,
 58                    model.layers[il].wo, model.layers[il].bo,
 59                    Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, 1.0f/sqrtf(float(n_embd_head)), il);
 60        }
 61
 62        if (il == n_layer - 1 && inp_out_ids) {
 63            cur  = ggml_get_rows(ctx0,  cur, inp_out_ids);
 64            inpL = ggml_get_rows(ctx0, inpL, inp_out_ids);
 65        }
 66
 67        // add the input
 68        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);
 69        cb(ffn_inp, "ffn_inp", il);
 70
 71        // FF
 72        {
 73            cur = build_norm(ffn_inp,
 74                    model.layers[il].ffn_norm,
 75                    model.layers[il].ffn_norm_b,
 76                    LLM_NORM, il);
 77            cb(cur, "ffn_norm", il);
 78
 79            cur = build_ffn(cur,
 80                    model.layers[il].ffn_up,   model.layers[il].ffn_up_b,   NULL,
 81                    NULL,                      NULL,                        NULL,
 82                    model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
 83                    NULL,
 84                    LLM_FFN_GELU, LLM_FFN_SEQ, il);
 85            cb(cur, "ffn_out", il);
 86        }
 87
 88        cur = ggml_add(ctx0, cur, ffn_inp);
 89
 90        cur = build_cvec(cur, il);
 91        cb(cur, "l_out", il);
 92
 93        // input for next layer
 94        inpL = cur;
 95    }
 96
 97    cur = build_norm(inpL,
 98            model.output_norm,
 99            model.output_norm_b,
100            LLM_NORM, -1);
101
102    cb(cur, "result_norm", -1);
103    res->t_embd = cur;
104
105    cur = build_lora_mm(model.output, cur);
106
107    cb(cur, "result_output", -1);
108    res->t_logits = cur;
109
110    ggml_build_forward_expand(gf, cur);
111}