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https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 21:39:52 +00:00
llm : fix llm_build_kqv taking unused tensor (benign, #3837)
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parent
523e49b111
commit
c43c2da8af
19
llama.cpp
19
llama.cpp
@ -3345,7 +3345,6 @@ static struct ggml_tensor * llm_build_ffn(
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// if max_alibi_bias > 0 then apply ALiBi
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static struct ggml_tensor * llm_build_kqv(
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struct ggml_context * ctx,
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struct ggml_tensor * cur,
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const llama_hparams & hparams,
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const llama_kv_cache & kv,
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struct ggml_tensor * wo,
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@ -3411,7 +3410,7 @@ static struct ggml_tensor * llm_build_kqv(
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struct ggml_tensor * kqv_merged = ggml_permute(ctx, kqv, 0, 2, 1, 3);
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cb(kqv_merged, "kqv_merged", il);
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cur = ggml_cont_2d(ctx, kqv_merged, n_embd, n_tokens);
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struct ggml_tensor * cur = ggml_cont_2d(ctx, kqv_merged, n_embd, n_tokens);
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cb(cur, "kqv_merged_cont", il);
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cur = ggml_mul_mat(ctx, wo, cur);
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@ -3565,7 +3564,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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cur = llm_build_kqv(ctx0, cur, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, NULL,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il);
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cb(cur, "kqv_out", il);
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@ -3677,7 +3676,7 @@ struct llm_build_context {
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// apply ALiBi for 13B model
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const float max_alibi_bias = model.type == MODEL_13B ? 8.0f : -1.0f;
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cur = llm_build_kqv(ctx0, cur, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, NULL,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, max_alibi_bias, cb, il);
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cb(cur, "kqv_out", il);
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@ -3795,7 +3794,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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cur = llm_build_kqv(ctx0, attn_norm, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, NULL,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il);
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cb(cur, "kqv_out", il);
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@ -3895,7 +3894,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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cur = llm_build_kqv(ctx0, cur, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, model.layers[il].bo,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il);
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cb(cur, "kqv_out", il);
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@ -4100,7 +4099,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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// TODO: not tested, could be broken
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cur = llm_build_kqv(ctx0, Q, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, model.layers[il].bo,
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Q, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, -1.0f, cb, il);
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cb(cur, "kqv_out", il);
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@ -4191,7 +4190,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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cur = llm_build_kqv(ctx0, Qcur, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, NULL,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, 8.0f, cb, il);
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cb(cur, "kqv_out", il);
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@ -4288,7 +4287,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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cur = llm_build_kqv(ctx0, Qcur, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, model.layers[il].bo,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, 8.0f, cb, il);
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cb(cur, "kqv_out", il);
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@ -4382,7 +4381,7 @@ struct llm_build_context {
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llm_build_kv_store(ctx0, hparams, kv_self, gf, Kcur, Vcur, n_ctx, n_tokens, kv_head, cb, il);
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cur = llm_build_kqv(ctx0, Qcur, hparams, kv_self,
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cur = llm_build_kqv(ctx0, hparams, kv_self,
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model.layers[il].wo, NULL,
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Qcur, KQ_scale, KQ_mask, n_ctx, n_tokens, n_kv, hparams.f_max_alibi_bias, cb, il);
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cb(cur, "kqv_out", il);
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