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c59fd93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | #include "models.h"
ggml_cgraph * clip_graph_whisper_enc::build() {
const int n_frames = img.nx();
const int n_pos = n_frames / 2;
GGML_ASSERT(model.position_embeddings->ne[1] >= n_pos);
ggml_tensor * inp = build_inp_raw(1);
// conv1d block
{
// convolution + gelu
ggml_tensor * cur = ggml_conv_1d_ph(ctx0, model.conv1d_1_w, inp, 1, 1);
cur = ggml_add(ctx0, cur, model.conv1d_1_b);
cur = ggml_gelu_erf(ctx0, cur);
cur = ggml_conv_1d_ph(ctx0, model.conv1d_2_w, cur, 2, 1);
cur = ggml_add(ctx0, cur, model.conv1d_2_b);
cur = ggml_gelu_erf(ctx0, cur);
// transpose
inp = ggml_cont(ctx0, ggml_transpose(ctx0, cur));
cb(inp, "after_conv1d", -1);
}
// sanity check (only check one layer, but it should be the same for all)
GGML_ASSERT(model.layers[0].ln_1_w && model.layers[0].ln_1_b);
GGML_ASSERT(model.layers[0].ln_2_w && model.layers[0].ln_2_b);
GGML_ASSERT(model.layers[0].q_b);
GGML_ASSERT(model.layers[0].v_b);
GGML_ASSERT(!model.layers[0].k_b); // no bias for k
ggml_tensor * pos_embd_selected = ggml_view_2d(
ctx0, model.position_embeddings,
model.position_embeddings->ne[0], n_pos,
model.position_embeddings->nb[1], 0
);
ggml_tensor * cur = build_vit(
inp, n_pos,
NORM_TYPE_NORMAL,
hparams.ffn_op,
pos_embd_selected,
nullptr);
cb(cur, "after_transformer", -1);
if (model.audio_has_stack_frames()) {
// StackAudioFrames
// https://huggingface.co/fixie-ai/ultravox-v0_5-llama-3_2-1b/blob/main/ultravox_model.py
cur = build_stack(cur, hparams.proj_stack_factor, n_embd);
cb(cur, "after_stacked", -1);
}
if (proj_type == PROJECTOR_TYPE_ULTRAVOX) {
// UltravoxProjector
// pre-norm
cur = ggml_rms_norm(ctx0, cur, 1e-6);
cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
// ffn in
cur = build_mm(model.mm_1_w, cur);
// swiglu
// see SwiGLU in ultravox_model.py, the second half passed through is silu, not the first half
cur = ggml_swiglu_swapped(ctx0, cur);
// mid-norm
cur = ggml_rms_norm(ctx0, cur, 1e-6);
cur = ggml_mul(ctx0, cur, model.mm_norm_mid_w);
// ffn out
cur = build_mm(model.mm_2_w, cur);
} else if (proj_type == PROJECTOR_TYPE_QWEN2A) {
// projector
cur = build_mm(model.mm_fc_w, cur);
cur = ggml_add(ctx0, cur, model.mm_fc_b);
} else if (proj_type == PROJECTOR_TYPE_VOXTRAL) {
// projector
cur = build_ffn(cur,
model.mm_1_w, model.mm_1_b,
nullptr, nullptr,
model.mm_2_w, model.mm_2_b,
FFN_GELU_ERF,
-1);
} else if (proj_type == PROJECTOR_TYPE_MUSIC_FLAMINGO) {
// projector
cur = build_ffn(cur,
model.mm_1_w, model.mm_1_b,
nullptr, nullptr,
model.mm_2_w, model.mm_2_b,
FFN_GELU_ERF,
-1);
} else if (proj_type == PROJECTOR_TYPE_MERALION) {
// stack (above) -> ln -> linear0+silu -> GLU -> out
cur = ggml_norm(ctx0, cur, hparams.eps);
cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
cur = ggml_add(ctx0, cur, model.mm_norm_pre_b);
cur = ggml_mul_mat(ctx0, model.mm_0_w, cur);
cur = ggml_add(ctx0, cur, model.mm_0_b);
cur = ggml_silu(ctx0, cur);
ggml_tensor * gate = ggml_mul_mat(ctx0, model.mm_1_w, cur);
gate = ggml_add(ctx0, gate, model.mm_1_b);
gate = ggml_silu(ctx0, gate);
ggml_tensor * pool = ggml_mul_mat(ctx0, model.mm_2_w, cur);
pool = ggml_add(ctx0, pool, model.mm_2_b);
cur = ggml_mul(ctx0, gate, pool);
cur = ggml_mul_mat(ctx0, model.mm_3_w, cur);
cur = ggml_add(ctx0, cur, model.mm_3_b);
} else if (proj_type == PROJECTOR_TYPE_GLMA) {
cur = ggml_norm(ctx0, cur, hparams.eps);
cur = ggml_mul(ctx0, cur, model.mm_norm_pre_w);
cur = ggml_add(ctx0, cur, model.mm_norm_pre_b);
cur = build_stack(cur, hparams.proj_stack_factor, n_embd);
cur = build_ffn(cur, model.mm_1_w, model.mm_1_b, nullptr, nullptr, model.mm_2_w, model.mm_2_b, hparams.ffn_op, 0);
cur = ggml_concat(ctx0, model.mm_boi, cur, 1);
cur = ggml_concat(ctx0, cur, model.mm_eoi, 1);
} else {
GGML_ABORT("%s: unknown projector type", __func__);
}
cb(cur, "projected", -1);
ggml_build_forward_expand(gf, cur);
return gf;
}
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