Brunobkr/llama.cpp_AlgMor24_github
ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.
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1// similar to qwen2vl, except for GQA attention2#include "models.h"3 4ggml_cgraph * clip_graph_exaone4_5::build() {5 GGML_ASSERT(model.patch_bias == nullptr);6 GGML_ASSERT(model.class_embedding == nullptr);7 8 const int batch_size = 1;9 const bool use_window_attn = hparams.n_wa_pattern > 0;10 const int n_wa_pattern = hparams.n_wa_pattern;11 const int n_pos = n_patches;12 const int num_position_ids = n_pos * 4;13 14 const norm_type norm_t = NORM_TYPE_RMS;15 16 const int64_t n_kv_head = hparams.n_head_kv > 0 ? hparams.n_head_kv : n_head;17 GGML_ASSERT(n_head % n_kv_head == 0);18 19 int rope_sections[4] = { d_head / 4, d_head / 4, d_head / 4, d_head / 4 };20 const float rope_freq_base = hparams.rope_theta > 0.0f ? hparams.rope_theta : 10000.0f;21 22 ggml_tensor * inp_raw = build_inp_raw();23 ggml_tensor * inp = ggml_conv_2d(ctx0, model.patch_embeddings_0, inp_raw, patch_size, patch_size, 0, 0, 1, 1);24 25 GGML_ASSERT(img.nx() % (patch_size * 2) == 0);26 GGML_ASSERT(img.ny() % (patch_size * 2) == 0);27 28 {29 ggml_tensor * inp_1 = ggml_conv_2d(ctx0, model.patch_embeddings_1, inp_raw, patch_size, patch_size, 0, 0, 1, 1);30 inp = ggml_add(ctx0, inp, inp_1);31 inp = ggml_permute(ctx0, inp, 1, 2, 0, 3);32 inp = ggml_cont_4d(33 ctx0, inp,34 n_embd * 2, n_patches_x / 2, n_patches_y, batch_size);35 inp = ggml_reshape_4d(36 ctx0, inp,37 n_embd * 2, n_patches_x / 2, 2, batch_size * (n_patches_y / 2));38 inp = ggml_permute(ctx0, inp, 0, 2, 1, 3);39 inp = ggml_cont_3d(40 ctx0, inp,41 n_embd, n_patches_x * n_patches_y, batch_size);42 }43 44 ggml_tensor * positions = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, num_position_ids);45 ggml_set_name(positions, "positions");46 ggml_set_input(positions);47 48 ggml_tensor * window_mask = nullptr;49 ggml_tensor * window_idx = nullptr;50 ggml_tensor * inv_window_idx = nullptr;51 52 if (use_window_attn) {53 window_idx = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_pos / 4);54 ggml_set_name(window_idx, "window_idx");55 ggml_set_input(window_idx);56 57 inv_window_idx = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, n_pos / 4);58 ggml_set_name(inv_window_idx, "inv_window_idx");59 ggml_set_input(inv_window_idx);60 61 window_mask = ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_pos, n_pos);62 ggml_set_name(window_mask, "window_mask");63 ggml_set_input(window_mask);64 65 if (flash_attn_type == CLIP_FLASH_ATTN_TYPE_ENABLED) {66 window_mask = ggml_cast(ctx0, window_mask, GGML_TYPE_F16);67 }68 }69 70 ggml_tensor * inpL = inp;71 72 if (use_window_attn) {73 GGML_ASSERT(batch_size == 1);74 inpL = ggml_reshape_2d(ctx0, inpL, n_embd * 4, n_patches_x * n_patches_y * batch_size / 4);75 inpL = ggml_get_rows(ctx0, inpL, inv_window_idx);76 inpL = ggml_reshape_3d(ctx0, inpL, n_embd, n_patches_x * n_patches_y, batch_size);77 }78 79 for (int il = 0; il < n_layer; il++) {80 const auto & layer = model.layers[il];81 const bool full_attn = use_window_attn ? (il + 1) % n_wa_pattern == 0 : true;82 ggml_tensor * cur = inpL;83 84 cur = build_norm(cur, layer.ln_1_w, layer.ln_1_b, norm_t, eps, il);85 cb(cur, "ln1", il);86 87 {88 GGML_ASSERT(layer.qkv_w != nullptr);89 cur = build_mm(layer.qkv_w, cur);90 if (layer.qkv_b) {91 cur = ggml_add(ctx0, cur, layer.qkv_b);92 }93 94 const int64_t n_embd_kv = d_head * n_kv_head;95 ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, d_head, n_head, n_patches,96 ggml_row_size(cur->type, d_head),97 cur->nb[1],98 0);99 ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, d_head, n_kv_head, n_patches,100 ggml_row_size(cur->type, d_head),101 cur->nb[1],102 ggml_row_size(cur->type, n_embd));103 ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, d_head, n_kv_head, n_patches,104 ggml_row_size(cur->type, d_head),105 cur->nb[1],106 ggml_row_size(cur->type, n_embd + n_embd_kv));107 108 cb(Qcur, "Qcur", il);109 cb(Kcur, "Kcur", il);110 cb(Vcur, "Vcur", il);111 112 Qcur = ggml_rope_multi(113 ctx0, Qcur, positions, nullptr,114 d_head / 2, rope_sections, GGML_ROPE_TYPE_VISION, 32768, rope_freq_base, 1, 0, 1, 32, 1);115 Kcur = ggml_rope_multi(116 ctx0, Kcur, positions, nullptr,117 d_head / 2, rope_sections, GGML_ROPE_TYPE_VISION, 32768, rope_freq_base, 1, 0, 1, 32, 1);118 119 cb(Qcur, "Qcur_rope", il);120 cb(Kcur, "Kcur_rope", il);121 cb(Vcur, "Vcur", il);122 123 ggml_tensor * attn_mask = full_attn ? nullptr : window_mask;124 cur = build_attn(layer.o_w, layer.o_b, Qcur, Kcur, Vcur, attn_mask, kq_scale, il);125 cb(cur, "attn_out", il);126 }127 128 cur = ggml_add(ctx0, cur, inpL);129 inpL = cur;130 131 cb(cur, "ffn_inp", il);132 133 cur = build_norm(cur, layer.ln_2_w, layer.ln_2_b, norm_t, eps, il);134 cb(cur, "ffn_inp_normed", il);135 136 cur = build_ffn(cur,137 layer.ff_up_w, layer.ff_up_b,138 layer.ff_gate_w, layer.ff_gate_b,139 layer.ff_down_w, layer.ff_down_b,140 hparams.ffn_op, il);141 142 cb(cur, "ffn_out", il);143 144 cur = ggml_add(ctx0, inpL, cur);145 cb(cur, "layer_out", il);146 147 inpL = cur;148 }149 150 ggml_tensor * embeddings = inpL;151 embeddings = build_norm(embeddings, model.post_ln_w, model.post_ln_b, norm_t, eps, n_layer);152 embeddings = ggml_reshape_3d(ctx0, embeddings, n_embd * 4, n_pos / 4, batch_size);153 embeddings = build_ffn(embeddings,154 model.mm_0_w, model.mm_0_b,155 nullptr, nullptr,156 model.mm_1_w, model.mm_1_b,157 FFN_GELU,158 -1);159 160 if (use_window_attn) {161 GGML_ASSERT(batch_size == 1);162 embeddings = ggml_reshape_2d(ctx0, embeddings, hparams.projection_dim, n_patches_x * n_patches_y / 4);163 embeddings = ggml_get_rows(ctx0, embeddings, window_idx);164 embeddings = ggml_reshape_3d(ctx0, embeddings, hparams.projection_dim, n_patches_x * n_patches_y / 4, batch_size);165 }166 167 ggml_build_forward_expand(gf, embeddings);168 169 return gf;170}171 