vbatts/llama.cpp
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cuda: add q8_0->f32 cpy operation (#9571)

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llama: enable K-shift for quantized KV cache
It will fail on unsupported backends or quant types.
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Ivan 2024-09-24 03:14:24 +03:00 • committed by GitHub
parent 0b3bf966f4
commit 116efee0ee
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3 changed files with 82 additions and 9 deletions
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src/llama.cpp
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@ -9930,17 +9930,36 @@ struct llm_build_context {
const int64_t n_head_kv = hparams.n_head_kv(il);
const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa(il);
struct ggml_tensor * rope_factors = build_rope_factors(il);
struct ggml_tensor * tmp =
// we rotate only the first n_rot dimensions
ggml_rope_ext_inplace(ctx0,
ggml_view_3d(ctx0, kv_self.k_l[il],
n_embd_head_k, n_head_kv, n_ctx,
ggml_row_size(kv_self.k_l[il]->type, n_embd_head_k),
ggml_row_size(kv_self.k_l[il]->type, n_embd_k_gqa),
0),
struct ggml_tensor * k =
ggml_view_3d(ctx0, kv_self.k_l[il],
n_embd_head_k, n_head_kv, n_ctx,
ggml_row_size(kv_self.k_l[il]->type, n_embd_head_k),
ggml_row_size(kv_self.k_l[il]->type, n_embd_k_gqa),
0);
struct ggml_tensor * tmp;
if (ggml_is_quantized(k->type)) {
// dequantize to f32 -> RoPE -> quantize back
tmp = ggml_cast(ctx0, k, GGML_TYPE_F32);
cb(tmp, "K_f32", il);
for (auto * backend : lctx.backends) {
// Figure out which backend KV cache belongs to
if (ggml_backend_supports_buft(backend, lctx.model.buft_layer[il].buft)) {
ggml_backend_sched_set_tensor_backend(lctx.sched, tmp, backend);
break;
}
}
tmp = ggml_rope_ext_inplace(ctx0, tmp,
lctx.inp_K_shift, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
ext_factor, attn_factor, beta_fast, beta_slow);
cb(tmp, "K_shifted_f32", il);
tmp = ggml_cpy(ctx0, tmp, k);
} else {
// we rotate only the first n_rot dimensions
tmp = ggml_rope_ext_inplace(ctx0, k,
lctx.inp_K_shift, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
ext_factor, attn_factor, beta_fast, beta_slow);
}
cb(tmp, "K_shifted", il);
ggml_build_forward_expand(gf, tmp);
}