vbatts/llama.cpp
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Moved control vector logic to llama_control_vector:apply_to()

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jukofyork 2024-06-25 17:22:05 +01:00 • committed by GitHub
parent ed90e43c70
commit a5a53194ff
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GPG key ID: B5690EEEBB952194
1 changed files with 42 additions and 96 deletions
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llama.cpp
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@ -2295,13 +2295,21 @@ struct llama_control_vector {
int32_t layer_start = -1;
int32_t layer_end = -1;
ggml_tensor * tensor_for(int il) const {
struct ggml_tensor * tensor_for(int il) const {
if (il < 0 || il < layer_start || il > layer_end || (size_t) il >= tensors.size()) {
return nullptr;
}
return tensors[il];
}
struct ggml_tensor * apply_to(struct ggml_context * ctx, struct ggml_tensor * cur, int il) const {
ggml_tensor * layer_dir = tensor_for(il);
if (layer_dir != nullptr) {
cur = ggml_add(ctx, cur, layer_dir);
}
return cur;
}
~llama_control_vector() {
for (struct ggml_context * ctx : ctxs) {
ggml_free(ctx);
@ -7901,9 +7909,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_inp);
cb(cur, "ffn_out", il);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8018,9 +8024,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8125,9 +8129,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8244,9 +8246,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_inp);
cur = ggml_add(ctx0, cur, inpL);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8398,9 +8398,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_inp);
cb(cur, "ffn_out", il);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8531,9 +8529,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_inp);
cb(cur, "ffn_out", il);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8640,9 +8636,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -8734,9 +8728,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9033,9 +9025,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9173,9 +9163,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9324,9 +9312,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9439,9 +9425,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9553,9 +9537,7 @@ struct llm_build_context {
cb(cur, "ffn_out", il);
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9701,9 +9683,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9825,9 +9805,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_output);
cur = ggml_add(ctx0, cur, inpL);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -9962,9 +9940,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, residual, cur);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10067,9 +10043,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, sa_out);
cur = ggml_add(ctx0, cur, inpL);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10176,9 +10150,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10289,9 +10261,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10407,9 +10377,7 @@ struct llm_build_context {
cb(cur, "ffn_out", il);
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10527,9 +10495,7 @@ struct llm_build_context {
cb(cur, "ffn_out", il);
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10671,9 +10637,7 @@ struct llm_build_context {
cb(cur, "hidden_scaled_ffn", -1);
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10786,9 +10750,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, sa_out);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -10907,9 +10869,7 @@ struct llm_build_context {
cb(cur, "ffn_out", il);
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11058,9 +11018,7 @@ struct llm_build_context {
// residual
cur = ggml_add(ctx0, cur, inpL);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11202,9 +11160,7 @@ struct llm_build_context {
// add together residual + FFN + self-attention
cur = ggml_add(ctx0, cur, inpL);
cur = ggml_add(ctx0, cur, attn_out);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11340,9 +11296,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_inp);
cb(cur, "ffn_out", il);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11457,9 +11411,7 @@ struct llm_build_context {
cb(cur, "ffn_out", il);
cur = ggml_add(ctx0, cur, attn_out);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11487,9 +11439,7 @@ struct llm_build_context {
cb(cur, "ffn_out", il);
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11620,9 +11570,7 @@ struct llm_build_context {
cur = ggml_add(ctx0, cur, ffn_out);
cb(cur, "ffn_out", il);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer
@ -11855,9 +11803,7 @@ struct llm_build_context {
}
cur = ggml_add(ctx0, cur, ffn_inp);
if (ggml_tensor * layer_dir = lctx.cvec.tensor_for(il)) {
cur = ggml_add(ctx0, cur, layer_dir);
}
cur = lctx.cvec.apply_to(ctx0, cur, il);
cb(cur, "l_out", il);
// input for next layer