echodict/llama.cpp

1#include "models.h"2 3 4llm_build_arwkv7::llm_build_arwkv7(const llama_model & model, const llm_graph_params & params) : llm_build_rwkv7_base(model, params) {5    GGML_ASSERT(n_embd == hparams.n_embd_r());6 7    ggml_tensor * cur;8    ggml_tensor * inpL;9    ggml_tensor * v_first = nullptr;10 11    inpL = build_inp_embd(model.tok_embd);12 13    auto * rs_inp = build_rs_inp();14 15    const auto n_embd = hparams.n_embd;16    const auto n_seq_tokens = ubatch.n_seq_tokens;17    const auto n_seqs = ubatch.n_seqs;18 19    ggml_tensor * inp_out_ids = build_inp_out_ids();20 21    for (int il = 0; il < n_layer; ++il) {22        const llama_layer * layer = &model.layers[il];23        inpL = ggml_reshape_3d(ctx0, inpL, n_embd, n_seq_tokens, n_seqs);24 25        ggml_tensor * token_shift = build_rwkv_token_shift_load(rs_inp, ubatch, il);26 27        ggml_tensor * att_norm = build_norm(inpL, layer->attn_norm, layer->attn_norm_b, LLM_NORM_RMS, il);28        cb(att_norm, "attn_norm", il);29 30        ggml_tensor * x_prev = ggml_concat(31                ctx0,32                token_shift,33                ggml_view_3d(ctx0, att_norm, n_embd, n_seq_tokens - 1, n_seqs, att_norm->nb[1], att_norm->nb[2], 0),34                135                );36 37        cur = build_rwkv7_time_mix(rs_inp, att_norm, x_prev, v_first, ubatch, il);38 39        token_shift = ggml_view_3d(ctx0, att_norm, n_embd, 1, n_seqs, att_norm->nb[1], att_norm->nb[2], (n_seq_tokens-1)*n_embd*ggml_element_size(att_norm));40        ggml_build_forward_expand(gf, build_rwkv_token_shift_store(token_shift, ubatch, il));41 42        ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);43        cb(ffn_inp, "ffn_inp", il);44 45        cur     = ggml_reshape_2d(ctx0, cur,     n_embd, n_tokens);46        ffn_inp = ggml_reshape_2d(ctx0, ffn_inp, n_embd, n_tokens);47 48        if (il == n_layer - 1 && inp_out_ids) {49            cur     = ggml_get_rows(ctx0, cur,     inp_out_ids);50            ffn_inp = ggml_get_rows(ctx0, ffn_inp, inp_out_ids);51        }52        // feed-forward network53        cur = build_norm(ffn_inp,54                model.layers[il].ffn_norm, NULL,55                LLM_NORM_RMS, il);56        cb(cur, "ffn_norm", il);57 58        cur = build_ffn(cur,59                model.layers[il].ffn_up,   NULL, NULL,60                model.layers[il].ffn_gate, NULL, NULL,61                model.layers[il].ffn_down, NULL, NULL,62                NULL,63                LLM_FFN_SILU, LLM_FFN_PAR, 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 = inpL;75    cur = build_norm(cur, model.output_norm, model.output_norm_b, LLM_NORM_RMS, -1);76 77    cb(cur, "result_norm", -1);78    res->t_embd = cur;79 80    cur = build_lora_mm(model.output, cur);81 82    cb(cur, "result_output", -1);83    res->t_logits = cur;84 85    ggml_build_forward_expand(gf, cur);86}87