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llama : extend llm_build_ffn() to support _scale tensors (#8103)

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Eddie-Wang
2024-06-26 14:27:46 +08:00
committed by GitHub
parent 9b2f16f805
commit 494165f3b6
1 changed files with 135 additions and 120 deletions
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llama.cpp
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@@ -7212,10 +7212,13 @@ static struct ggml_tensor * llm_build_ffn(
struct ggml_tensor * cur, struct ggml_tensor * cur,
struct ggml_tensor * up, struct ggml_tensor * up,
struct ggml_tensor * up_b, struct ggml_tensor * up_b,
struct ggml_tensor * up_s,
struct ggml_tensor * gate, struct ggml_tensor * gate,
struct ggml_tensor * gate_b, struct ggml_tensor * gate_b,
struct ggml_tensor * gate_s,
struct ggml_tensor * down, struct ggml_tensor * down,
struct ggml_tensor * down_b, struct ggml_tensor * down_b,
struct ggml_tensor * down_s,
struct ggml_tensor * act_scales, struct ggml_tensor * act_scales,
llm_ffn_op_type type_op, llm_ffn_op_type type_op,
llm_ffn_gate_type type_gate, llm_ffn_gate_type type_gate,
@@ -7229,6 +7232,11 @@ static struct ggml_tensor * llm_build_ffn(
cb(tmp, "ffn_up_b", il); cb(tmp, "ffn_up_b", il);
} }
if (up_s) {
tmp = ggml_mul(ctx, tmp, up_s);
cb(tmp, "ffn_up_s", il);
}
if (gate) { if (gate) {
switch (type_gate) { switch (type_gate) {
case LLM_FFN_SEQ: case LLM_FFN_SEQ:
@@ -7247,6 +7255,12 @@ static struct ggml_tensor * llm_build_ffn(
cur = ggml_add(ctx, cur, gate_b); cur = ggml_add(ctx, cur, gate_b);
cb(cur, "ffn_gate_b", il); cb(cur, "ffn_gate_b", il);
} }
if (gate_s) {
cur = ggml_mul(ctx, cur, gate_s);
cb(cur, "ffn_gate_s", il);
}
} else { } else {
cur = tmp; cur = tmp;
} }
@@ -7286,7 +7300,10 @@ static struct ggml_tensor * llm_build_ffn(
cb(cur, "ffn_gate_par", il); cb(cur, "ffn_gate_par", il);
} }
cur = ggml_mul_mat(ctx, down, cur); if (down) {
cur = ggml_mul_mat(ctx, down, cur);
}
if (down_b) { if (down_b) {
cb(cur, "ffn_down", il); cb(cur, "ffn_down", il);
} }
@@ -7295,6 +7312,11 @@ static struct ggml_tensor * llm_build_ffn(
cur = ggml_add(ctx, cur, down_b); cur = ggml_add(ctx, cur, down_b);
} }
if (down_s) {
cur = ggml_mul(ctx, cur, down_s);
cb(cur, "ffn_down_s", il);
}
return cur; return cur;
} }
@@ -8003,9 +8025,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, model.layers[il].ffn_gate, model.layers[il].ffn_gate_b, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -8137,9 +8159,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -8242,9 +8264,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -8358,9 +8380,9 @@ struct llm_build_context {
// feed forward // feed forward
{ {
cur = llm_build_ffn(ctx0, attn_norm, // !! use the attn norm, not the result cur = llm_build_ffn(ctx0, attn_norm, // !! use the attn norm, not the result
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -8749,9 +8771,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -8841,9 +8863,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -9026,23 +9048,23 @@ struct llm_build_context {
// feed-forward network // feed-forward network
if (model.arch == LLM_ARCH_BERT) { if (model.arch == LLM_ARCH_BERT) {
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
} else if (model.arch == LLM_ARCH_JINA_BERT_V2) { } else if (model.arch == LLM_ARCH_JINA_BERT_V2) {
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_PAR, cb, il); LLM_FFN_GELU, LLM_FFN_PAR, cb, il);
} else { } else {
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
} }
@@ -9138,9 +9160,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -9276,9 +9298,9 @@ struct llm_build_context {
LLM_NORM, cb, il); LLM_NORM, cb, il);
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
model.layers[il].ffn_act, model.layers[il].ffn_act,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -9425,9 +9447,9 @@ struct llm_build_context {
cur = inpSA; cur = inpSA;
} }
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -9538,9 +9560,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -9651,9 +9673,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -9788,9 +9810,9 @@ struct llm_build_context {
cb(cur_gate, "ffn_shexp_gate", il); cb(cur_gate, "ffn_shexp_gate", il);
ggml_tensor * cur_ffn = llm_build_ffn(ctx0, cur, ggml_tensor * cur_ffn = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up_shexp, NULL, model.layers[il].ffn_up_shexp, NULL, NULL,
model.layers[il].ffn_gate_shexp, NULL, model.layers[il].ffn_gate_shexp, NULL, NULL,
model.layers[il].ffn_down_shexp, NULL, model.layers[il].ffn_down_shexp, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur_ffn, "ffn_shexp", il); cb(cur_ffn, "ffn_shexp", il);
@@ -9917,9 +9939,9 @@ struct llm_build_context {
// FF // FF
{ {
ffn_output = llm_build_ffn(ctx0, attn_norm_output, ffn_output = llm_build_ffn(ctx0, attn_norm_output,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(ffn_output, "ffn_out", il); cb(ffn_output, "ffn_out", il);
@@ -10155,9 +10177,9 @@ struct llm_build_context {
// feed-forward network // feed-forward network
{ {
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10263,9 +10285,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10374,9 +10396,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10491,9 +10513,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10609,9 +10631,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10746,9 +10768,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10863,9 +10885,9 @@ struct llm_build_context {
// feed-forward network // feed-forward network
{ {
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_PAR, cb, il); LLM_FFN_GELU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -10983,9 +11005,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11271,9 +11293,9 @@ struct llm_build_context {
// feed-forward network // feed-forward network
{ {
cur = llm_build_ffn(ctx0, ffn_inp, cur = llm_build_ffn(ctx0, ffn_inp,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11408,9 +11430,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11522,9 +11544,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11553,9 +11575,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, model.layers[il].ffn_up_b, model.layers[il].ffn_up, model.layers[il].ffn_up_b, NULL,
NULL, NULL, NULL, NULL, NULL,
model.layers[il].ffn_down, model.layers[il].ffn_down_b, model.layers[il].ffn_down, model.layers[il].ffn_down_b, NULL,
NULL, NULL,
LLM_FFN_GELU, LLM_FFN_SEQ, cb, il); LLM_FFN_GELU, LLM_FFN_SEQ, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11662,9 +11684,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11884,9 +11906,9 @@ struct llm_build_context {
cb(cur, "ffn_norm", il); cb(cur, "ffn_norm", il);
cur = llm_build_ffn(ctx0, cur, cur = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up, NULL, model.layers[il].ffn_up, NULL, NULL,
model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate, NULL, NULL,
model.layers[il].ffn_down, NULL, model.layers[il].ffn_down, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_out", il); cb(cur, "ffn_out", il);
@@ -11912,9 +11934,9 @@ struct llm_build_context {
// FFN shared expert // FFN shared expert
{ {
ggml_tensor * ffn_shexp = llm_build_ffn(ctx0, cur, ggml_tensor * ffn_shexp = llm_build_ffn(ctx0, cur,
model.layers[il].ffn_up_shexp, NULL, model.layers[il].ffn_up_shexp, NULL, NULL,
model.layers[il].ffn_gate_shexp, NULL, model.layers[il].ffn_gate_shexp, NULL, NULL,
model.layers[il].ffn_down_shexp, NULL, model.layers[il].ffn_down_shexp, NULL, NULL,
NULL, NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il); LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(ffn_shexp, "ffn_shexp", il); cb(ffn_shexp, "ffn_shexp", il);
@@ -12017,7 +12039,7 @@ struct llm_build_context {
cb(Kcur, "Kcur", il); cb(Kcur, "Kcur", il);
cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf, cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf,
nullptr, nullptr, NULL, NULL,
Kcur, Vcur, Qcur, KQ_mask, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il); Kcur, Vcur, Qcur, KQ_mask, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il);
cur = llm_build_norm(ctx0, cur, hparams, cur = llm_build_norm(ctx0, cur, hparams,
@@ -12044,35 +12066,28 @@ struct llm_build_context {
cb(ffn_inp, "ffn_inp", il); cb(ffn_inp, "ffn_inp", il);
// feed-forward forward // feed-forward forward
if (model.layers[il].ffn_gate_inp == nullptr) { cur = llm_build_norm(ctx0, ffn_inp, hparams,
cur = llm_build_norm(ctx0, ffn_inp, hparams, model.layers[il].ffn_norm, NULL,
model.layers[il].ffn_norm, NULL, LLM_NORM_RMS, cb, il);
LLM_NORM_RMS, cb, il); cb(cur, "ffn_norm", il);
cb(cur, "ffn_norm", il);
struct ggml_tensor *tmp = ggml_mul_mat(ctx0, model.layers[il].ffn_up, cur); cur = llm_build_ffn(ctx0, cur,
tmp = ggml_mul(ctx0, tmp, model.layers[il].ffn_up_scale); model.layers[il].ffn_up, NULL, model.layers[il].ffn_up_scale,
cb(tmp, "ffn_up", il); model.layers[il].ffn_gate, NULL, model.layers[il].ffn_gate_scale,
NULL, NULL, NULL,
NULL,
LLM_FFN_SILU, LLM_FFN_PAR, cb, il);
cb(cur, "ffn_sub_out", il);
cur = ggml_mul_mat(ctx0, model.layers[il].ffn_gate, cur); cur = llm_build_norm(ctx0, cur, hparams,
cur = ggml_mul(ctx0, cur, model.layers[il].ffn_gate_scale); model.layers[il].ffn_sub_norm, NULL,
cb(cur, "ffn_gate", il); LLM_NORM_RMS, cb, il);
cb(cur, "ffn_sub_norm", il);
cur = ggml_silu(ctx0, cur); cur = ggml_mul_mat(ctx0, model.layers[il].ffn_down, cur);
cb(cur, "ffn_silu", il); cur = ggml_mul(ctx0, cur, model.layers[il].ffn_down_scale);
cb(cur, "ffn_down", il);
cur = ggml_mul(ctx0, cur, tmp);
cb(cur, "ffn_gate_par", il);
cur = llm_build_norm(ctx0, cur, hparams,
model.layers[il].ffn_sub_norm, NULL,
LLM_NORM_RMS, cb, il);
cb(cur, "ffn_sub_norm", il);
cur = ggml_mul_mat(ctx0, model.layers[il].ffn_down, cur);
cur = ggml_mul(ctx0, cur, model.layers[il].ffn_down_scale);
cb(cur, "ffn_down", il);
}
cur = ggml_add(ctx0, cur, ffn_inp); cur = ggml_add(ctx0, cur, ffn_inp);
cb(cur, "l_out", il); cb(cur, "l_out", il);