echodict/llama.cpp
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1#include "models.h"2 3llm_build_rwkv7::llm_build_rwkv7(const llama_model & model, const llm_graph_params & params) :4 llm_build_rwkv7_base(model, params) {5 GGML_ASSERT(hparams.token_shift_count == 2);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 inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, 0);13 14 auto * rs_inp = build_rs_inp();15 16 const auto n_embd = hparams.n_embd;17 const auto n_seq_tokens = ubatch.n_seq_tokens;18 const auto n_seqs = ubatch.n_seqs;19 20 ggml_tensor * inp_out_ids = build_inp_out_ids();21 22 for (int il = 0; il < n_layer; ++il) {23 const llama_layer * layer = &model.layers[il];24 inpL = ggml_reshape_3d(ctx0, inpL, n_embd, n_seq_tokens, n_seqs);25 26 ggml_tensor * token_shift = build_rwkv_token_shift_load(rs_inp, ubatch, il);27 28 ggml_tensor * att_shift =29 ggml_view_3d(ctx0, token_shift, n_embd, 1, n_seqs, token_shift->nb[1], token_shift->nb[2], 0);30 ggml_tensor * ffn_shift = ggml_view_3d(ctx0, token_shift, n_embd, 1, n_seqs, token_shift->nb[1],31 token_shift->nb[2], n_embd * ggml_element_size(token_shift));32 33 ggml_tensor * att_norm = build_norm(inpL, layer->attn_norm, layer->attn_norm_b, LLM_NORM, il);34 cb(att_norm, "attn_norm", il);35 36 ggml_tensor * x_prev = ggml_concat(37 ctx0, att_shift,38 ggml_view_3d(ctx0, att_norm, n_embd, n_seq_tokens - 1, n_seqs, att_norm->nb[1], att_norm->nb[2], 0), 1);39 40 cur = build_rwkv7_time_mix(rs_inp, att_norm, x_prev, v_first, ubatch, il);41 42 ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);43 cb(ffn_inp, "ffn_inp", il);44 45 ggml_tensor * ffn_norm = build_norm(ffn_inp, layer->attn_norm_2, layer->attn_norm_2_b, LLM_NORM, il);46 cb(ffn_norm, "ffn_norm", il);47 48 x_prev = ggml_concat(49 ctx0, ffn_shift,50 ggml_view_3d(ctx0, ffn_norm, n_embd, n_seq_tokens - 1, n_seqs, ffn_norm->nb[1], ffn_norm->nb[2], 0), 1);51 52 token_shift = ggml_concat(ctx0,53 ggml_view_3d(ctx0, att_norm, n_embd, 1, n_seqs, att_norm->nb[1], att_norm->nb[2],54 (n_seq_tokens - 1) * n_embd * ggml_element_size(att_norm)),55 ggml_view_3d(ctx0, ffn_norm, n_embd, 1, n_seqs, ffn_norm->nb[1], ffn_norm->nb[2],56 (n_seq_tokens - 1) * n_embd * ggml_element_size(ffn_norm)),57 1);58 ggml_build_forward_expand(gf, build_rwkv_token_shift_store(token_shift, ubatch, il));59 60 ffn_inp = ggml_reshape_2d(ctx0, ffn_inp, n_embd, n_tokens);61 ffn_norm = ggml_reshape_2d(ctx0, ffn_norm, n_embd, n_tokens);62 x_prev = ggml_reshape_2d(ctx0, x_prev, n_embd, n_tokens);63 64 if (il == n_layer - 1 && inp_out_ids) {65 ffn_inp = ggml_get_rows(ctx0, ffn_inp, inp_out_ids);66 ffn_norm = ggml_get_rows(ctx0, ffn_norm, inp_out_ids);67 x_prev = ggml_get_rows(ctx0, x_prev, inp_out_ids);68 }69 cur = build_rwkv7_channel_mix(layer, ffn_norm, x_prev, LLM_ARCH_RWKV7);70 cur = ggml_add(ctx0, cur, ffn_inp);71 72 cur = build_cvec(cur, il);73 cb(cur, "l_out", il);74 75 // input for next layer76 inpL = cur;77 }78 cur = inpL;79 cur = build_norm(cur, model.output_norm, model.output_norm_b, LLM_NORM, -1);80 81 cb(cur, "result_norm", -1);82 res->t_embd = cur;83 84 cur = build_lora_mm(model.output, cur);85 86 cb(cur, "result_output", -1);87 res->t_logits = cur;88 89 ggml_build_forward_expand(gf, cur);90}91 