| 1 | #include "models.h" |
| 2 | |
| 3 | llm_build_cogvlm::llm_build_cogvlm(const llama_model & model, const llm_graph_params & params) : |
| 4 | llm_graph_context(params) { |
| 5 | const int64_t n_embd_head = hparams.n_embd_head_v; |
| 6 | const float kq_scale = 1.0f / sqrtf(float(n_embd_head)); |
| 7 | |
| 8 | GGML_ASSERT(n_embd_head == hparams.n_embd_head_k); |
| 9 | GGML_ASSERT(n_embd_head == hparams.n_rot); |
| 10 | |
| 11 | ggml_tensor * inpL; |
| 12 | ggml_tensor * cur; |
| 13 | |
| 14 | inpL = build_inp_embd(model.tok_embd); |
| 15 | |
| 16 | ggml_tensor * inp_pos = build_inp_pos(); |
| 17 | |
| 18 | auto * inp_attn = build_attn_inp_kv(); |
| 19 | |
| 20 | // check ubatch to see if we have input tokens (text) |
| 21 | // or an input embedding vector (image) |
| 22 | bool is_text; |
| 23 | if (ubatch.token) { |
| 24 | is_text = true; |
| 25 | } else { |
| 26 | is_text = false; |
| 27 | } |
| 28 | |
| 29 | for (int il = 0; il < n_layer; ++il) { |
| 30 | // get either the text or image weight tensors |
| 31 | ggml_tensor *wqkv, *wo; |
| 32 | ggml_tensor *ffn_gate, *ffn_down, *ffn_up; |
| 33 | |
| 34 | if (is_text) { |
| 35 | wqkv = model.layers[il].wqkv; |
| 36 | wo = model.layers[il].wo; |
| 37 | ffn_gate = model.layers[il].ffn_gate; |
| 38 | ffn_down = model.layers[il].ffn_down; |
| 39 | ffn_up = model.layers[il].ffn_up; |
| 40 | } else { |
| 41 | wqkv = model.layers[il].visexp_attn_wqkv; |
| 42 | wo = model.layers[il].visexp_attn_wo; |
| 43 | ffn_gate = model.layers[il].visexp_ffn_gate; |
| 44 | ffn_down = model.layers[il].visexp_ffn_down; |
| 45 | ffn_up = model.layers[il].visexp_ffn_up; |
| 46 | } |
| 47 | |
| 48 | ggml_tensor * inpSA = inpL; |
| 49 | cur = build_norm(inpSA, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il); |
| 50 | |
| 51 | // build self attention |
| 52 | { |
| 53 | ggml_tensor * qkv = build_lora_mm(wqkv, cur); |
| 54 | |
| 55 | // split qkv into Q, K, V along the first dimension |
| 56 | ggml_tensor * Qcur = |
| 57 | ggml_view_3d(ctx0, qkv, n_embd_head, n_head, n_tokens, n_embd_head * sizeof(float), qkv->nb[1], 0); |
| 58 | ggml_tensor * Kcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float), |
| 59 | qkv->nb[1], n_embd * ggml_element_size(qkv)); |
| 60 | ggml_tensor * Vcur = ggml_view_3d(ctx0, qkv, n_embd_head, n_head_kv, n_tokens, n_embd_head * sizeof(float), |
nothing calls this directly
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