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authorKawrakow <iwankawrakow@gmail.com>2025-02-09 19:48:44 +0200
committerGitHub <noreply@github.com>2025-02-09 19:48:44 +0200
commitc12f73ba6153d162f36434cb48e36dd3649b7701 (patch)
tree3594697f680959c7130a3f109cd9e4abbc8d6e7d /common/common.h
parentcae2b81155fdad75b7beab3a835c438120412969 (diff)
Add optional MLA (#188)
* Deepseek MLA Optimizations Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> * Make MLA optional * Remove some unnecessary copies in the MLA attention * Deepseek MLA Optimizations V2 (#195) * Avoid allocating MHA KV cache when MLA is turned on * Added missing gguf-py file * Added final optimizations Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> * Make sure we do have wk_b and wv_b before enabling MLA --------- Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com> * Use type_k and type_v to set the types of the MLA caches They were hard-coded at f16. On my Ryzen-7950X with native bf16 support I get a fairly significant PP performance boost with bf16 KV-cache: PP-4096 = 320 t/s up from 292 t/s with fp16 KV-cache. * Better gemm strategy when nth > nhead It gives a ~10% PP performance boost for DeepSeek-Lite with 32 threads (with or without MLA). Before this commit, when nth > nhead heads were processed sequentially with all nth threads participating in each matrix multiplication. Now we ind the gcd of nhead and nth and split threads into nth/gcd groups, each group processing nhead/gcd heads. --------- Co-authored-by: Saood Karim <saood05@gmail.com> Co-authored-by: Stanisław Szymczyk <sszymczy@gmail.com> Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'common/common.h')
-rw-r--r--common/common.h1
1 files changed, 1 insertions, 0 deletions
diff --git a/common/common.h b/common/common.h
index 73d7d650..fc1ae619 100644
--- a/common/common.h
+++ b/common/common.h
@@ -174,6 +174,7 @@ struct gpt_params {
bool simple_io = false; // improves compatibility with subprocesses and limited consoles
bool cont_batching = true; // insert new sequences for decoding on-the-fly
bool flash_attn = false; // flash attention
+ bool mla_attn = false; // MLA
bool input_prefix_bos = false; // prefix BOS to user inputs, preceding input_prefix
bool ignore_eos = false; // ignore generated EOS tokens