echodict/llama.cpp
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1#include "models.h"2 3llm_build_rwkv6::llm_build_rwkv6(const llama_model & model, const llm_graph_params & params) :4 llm_build_rwkv6_base(model, params) {5 GGML_ASSERT(hparams.token_shift_count == 2);6 7 ggml_tensor * cur;8 ggml_tensor * inpL;9 10 inpL = build_inp_embd(model.tok_embd);11 inpL = build_norm(inpL, model.tok_norm, model.tok_norm_b, LLM_NORM, 0);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_shift =28 ggml_view_3d(ctx0, token_shift, n_embd, 1, n_seqs, token_shift->nb[1], token_shift->nb[2], 0);29 ggml_tensor * ffn_shift = ggml_view_3d(ctx0, token_shift, n_embd, 1, n_seqs, token_shift->nb[1],30 token_shift->nb[2], n_embd * ggml_element_size(token_shift));31 32 ggml_tensor * att_norm = build_norm(inpL, layer->attn_norm, layer->attn_norm_b, LLM_NORM, il);33 cb(att_norm, "attn_norm", il);34 35 ggml_tensor * x_prev = ggml_concat(36 ctx0, att_shift,37 ggml_view_3d(ctx0, att_norm, n_embd, n_seq_tokens - 1, n_seqs, att_norm->nb[1], att_norm->nb[2], 0), 1);38 39 cur = build_rwkv6_time_mix(rs_inp, att_norm, x_prev, ubatch, il);40 41 ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpL);42 cb(ffn_inp, "ffn_inp", il);43 44 ggml_tensor * ffn_norm = build_norm(ffn_inp, layer->attn_norm_2, layer->attn_norm_2_b, LLM_NORM, il);45 cb(ffn_norm, "ffn_norm", il);46 47 x_prev = ggml_concat(48 ctx0, ffn_shift,49 ggml_view_3d(ctx0, ffn_norm, n_embd, n_seq_tokens - 1, n_seqs, ffn_norm->nb[1], ffn_norm->nb[2], 0), 1);50 51 token_shift = ggml_concat(ctx0,52 ggml_view_3d(ctx0, att_norm, n_embd, 1, n_seqs, att_norm->nb[1], att_norm->nb[2],53 (n_seq_tokens - 1) * n_embd * ggml_element_size(att_norm)),54 ggml_view_3d(ctx0, ffn_norm, n_embd, 1, n_seqs, ffn_norm->nb[1], ffn_norm->nb[2],55 (n_seq_tokens - 1) * n_embd * ggml_element_size(ffn_norm)),56 1);57 ggml_build_forward_expand(gf, build_rwkv_token_shift_store(token_shift, ubatch, il));58 59 ffn_inp = ggml_reshape_2d(ctx0, ffn_inp, n_embd, n_tokens);60 ffn_norm = ggml_reshape_2d(ctx0, ffn_norm, n_embd, n_tokens);61 x_prev = ggml_reshape_2d(ctx0, x_prev, n_embd, n_tokens);62 cur = ggml_reshape_2d(ctx0, cur, 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 cur = ggml_get_rows(ctx0, cur, inp_out_ids);69 }70 cur = build_rwkv6_channel_mix(layer, ffn_norm, x_prev, LLM_ARCH_RWKV6);71 cur = ggml_add(ctx0, cur, ffn_inp);72 73 if (hparams.rescale_every_n_layers != 0 && (il + 1) % hparams.rescale_every_n_layers == 0) {74 cur = ggml_scale(ctx0, cur, 0.5F);75 }76 cur = build_cvec(cur, il);77 cb(cur, "l_out", il);78 79 // input for next layer80 inpL = cur;81 }82 cur = inpL;83 cur = build_norm(cur, model.output_norm, model.output_norm_b, LLM_NORM, -1);84 85 cb(cur, "result_norm", -1);86 res->t_embd = cur;87 88 cur = build_lora_mm(model.output, cur);89 90 cb(cur, "result_output", -1);91 res->t_logits = cur;92 93 ggml_build_forward_expand(gf, cur);94}95 