Files
ollama-for-amd/llama/patches/0021-decode-disable-output_all.patch
Gabe Goodhart b95693056c feat: llama.cpp bump (17f7f4) for SSM performance improvements (#13408)
* feat: Bump llama.cpp to the latest master (17f7f4b)

This brings in significant improvements to prefill performance for all
models using the SSM_CONV and SSM_SCAN ops (granite4, jamba, falcon-h,
nemotron-h, Qwen3 Next) on Apple Metal.

See https://github.com/ggml-org/llama.cpp/pull/17876

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Update patches 1-4

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* fix: Update patches 5-12

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Update patches 13-18

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Update patch 20

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Update patches 21-31

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

* feat: Sync vendored code

The two files I'm not sure about here are the swap from gemma3-iswa.cpp to
gemma3.cpp (I chose to include this because I think it's required), and the
inclusion of `ggml-zendnn.h` which I chose to omit.

Branch: LlamaCPPMetalSSMImprovements

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>

---------

Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
2025-12-10 12:59:27 -08:00

24 lines
948 B
Diff

From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
From: Michael Yang <git@mxy.ng>
Date: Mon, 18 Aug 2025 16:58:39 -0700
Subject: [PATCH] decode: disable output_all
---
src/llama-context.cpp | 3 +--
1 file changed, 1 insertion(+), 2 deletions(-)
diff --git a/src/llama-context.cpp b/src/llama-context.cpp
index 417140071..87f407f99 100644
--- a/src/llama-context.cpp
+++ b/src/llama-context.cpp
@@ -999,8 +999,7 @@ int llama_context::decode(const llama_batch & batch_inp) {
const int64_t n_vocab = vocab.n_tokens();
const int64_t n_embd = hparams.n_embd_inp();
- // when computing embeddings, all tokens are output
- const bool output_all = cparams.embeddings;
+ const bool output_all = false;
if (!balloc->init(batch_inp, vocab, memory.get(), n_embd, cparams.kv_unified ? LLAMA_MAX_SEQ : cparams.n_seq_max, output_all)) {
LLAMA_LOG_ERROR("%s: failed to initialize batch\n", __func__);