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llama : fix K-shift with quantized K and BLAS backend (#13113)

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This commit is contained in:
Diego Devesa
2025-04-25 19:40:11 +02:00
committed by GitHub
parent 558a764713
commit 295354ea68
2 changed files with 4 additions and 16 deletions
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17
src/llama-context.cpp
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@ -469,8 +469,7 @@ ggml_tensor * llama_context::build_rope_shift(
ggml_tensor * shift,
ggml_tensor * factors,
float freq_base,
float freq_scale,
ggml_backend_buffer * bbuf) const {
float freq_scale) const {
const auto & n_ctx_orig = cparams.n_ctx_orig_yarn;
const auto & yarn_ext_factor = cparams.yarn_ext_factor;
@ -492,17 +491,7 @@ ggml_tensor * llama_context::build_rope_shift(
// dequantize to f32 -> RoPE -> quantize back
tmp = ggml_cast(ctx0, cur, GGML_TYPE_F32);
if (bbuf) {
for (const auto & backend : backends) {
// Figure out which backend KV cache belongs to
if (ggml_backend_supports_buft(backend.get(), ggml_backend_buffer_get_type(bbuf))) {
ggml_backend_sched_set_tensor_backend(sched.get(), tmp, backend.get());
break;
}
}
}
tmp = ggml_rope_ext_inplace(ctx0, tmp,
tmp = ggml_rope_ext(ctx0, tmp,
shift, factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
yarn_ext_factor, yarn_attn_factor, yarn_beta_fast, yarn_beta_slow);
@ -582,7 +571,7 @@ llm_graph_result_ptr llama_context::build_kv_self_shift(
ggml_row_size(kv_self->k_l[il]->type, n_embd_k_gqa),
0);
ggml_tensor * cur = build_rope_shift(ctx0, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l, kv_self->k_l[il]->buffer);
ggml_tensor * cur = build_rope_shift(ctx0, k, inp->k_shift, rope_factors, freq_base_l, freq_scale_l);
ggml_build_forward_expand(gf, cur);
}

3
src/llama-context.h
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@ -170,8 +170,7 @@ private:
ggml_tensor * shift,
ggml_tensor * factors,
float freq_base,
float freq_scale,
ggml_backend_buffer * bbuf) const;
float freq_scale) const;
llm_graph_result_ptr build_kv_self_shift(
ggml_context * ctx0,