Files
LocalAI/.github/workflows/llama-cpp-paged-canary.yml
Ettore Di Giacinto a5a5b2ad80 feat(paged): bump llama.cpp pin 9d5d882d -> c299a92c (bit-exact verified)
Advance the paged-attention backend's owned llama.cpp pin by 23 upstream
commits. The shipped source-only patch series (0001-0030, 28 patches) applies
strict-clean (git apply, exit 0) on a fresh c299a92c checkout with no re-export
needed, and the bit-exact gate is GREEN on every path on GB10 (CUDA sm_121):

- md5 greedy decode (-ngl 99 -fa on -n 48 --temp 0 --seed 1): dense
  non-paged/paged 5951a5b4, MoE non-paged 07db32c2, MoE paged 8cb0ce23; all
  match the established baselines.
- test-backend-ops CUDA0: SSM_CONV 45/45, SSM_CONV_UPDATE 16/16,
  SSM_CONV_UPDATE_IDS 16/16, GATED_DELTA_NET 84/84, MUL_MAT 1146/1146,
  MUL_MAT_ID 806/806; all OK.

The 23-commit upstream jump did not change our decode output. The .patch files
are kept byte-identical (they already apply strict-clean at the new pin); only
the pin, the PIN_SYNC evidence doc, and the canary/gallery doc references change.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 08:57:33 +00:00

174 lines
7.4 KiB
YAML

name: 'llama.cpp paged patches: upstream canary'
# EARLY-WARNING CANARY for the vendored paged-attention patch series
# (backend/cpp/llama-cpp/patches/paged/0001-0030).
#
# WHY THIS EXISTS
# The paged backend (backend/cpp/llama-cpp-localai-paged) pins its OWN verified
# llama.cpp tip (LLAMA_VERSION in backend/cpp/llama-cpp-localai-paged/Makefile)
# and is intentionally EXCLUDED from the nightly auto-bumper
# (.github/workflows/bump_deps.yaml), so a naive upstream bump can never silently
# break the shipped build. The cost of that safety: nobody finds out when
# upstream DRIFTS past the patches. This canary restores that signal WITHOUT
# touching the shipped pin - weekly it tries the patch series + a real compile
# against the LATEST llama.cpp master tip and goes red the moment upstream breaks
# the patches.
#
# RED HERE means: time to run a PIN_SYNC (rebase the patches onto the new tip,
# pass the bit-exact gate on the GPU, re-export the .patch files, THEN advance
# the pin in backend/cpp/llama-cpp-localai-paged/Makefile). See
# backend/cpp/llama-cpp/patches/paged/PIN_SYNC_c299a92c.md.
#
# SIGNAL-ONLY: this workflow moves no pinned version, ships nothing, and is fully
# decoupled from bump_deps - so the main dep-bump PR stays green regardless. A
# green run means "the paged series still applies and compiles on upstream HEAD";
# a red run means "upstream moved - schedule a pin-sync".
on:
schedule:
# Weekly (Mondays 06:00 UTC), mirroring the weekly DEPS_REFRESH / bump_deps
# cadence. Offset from bump_deps' nightly 20:00 so the two never pile up.
- cron: '0 6 * * 1'
workflow_dispatch:
permissions:
contents: read
concurrency:
group: llama-cpp-paged-canary
cancel-in-progress: false
env:
# Upstream source of truth - the same repo/branch bump_deps tracks for the
# stock llama-cpp pin.
LLAMA_UPSTREAM: 'https://github.com/ggml-org/llama.cpp'
jobs:
apply-check:
# Cheap, fast, toolchain-free early warning: does the series still APPLY to
# the latest upstream tip? A patch no longer applying is by far the most
# common way upstream breaks a vendored series, so this runs first, is
# reliable on a free runner, and feeds the resolved tip to the compile job.
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
timeout-minutes: 20
outputs:
tip: ${{ steps.resolve.outputs.tip }}
steps:
- name: Checkout LocalAI
uses: actions/checkout@v7
- name: Resolve latest llama.cpp master tip
id: resolve
run: |
tip="$(git ls-remote "$LLAMA_UPSTREAM" refs/heads/master | cut -f1)"
if [ -z "$tip" ]; then
echo "::error::could not resolve llama.cpp master tip from $LLAMA_UPSTREAM"
exit 1
fi
pin="$(grep -m1 'LLAMA_VERSION?=' backend/cpp/llama-cpp-localai-paged/Makefile | cut -d= -f2)"
echo "latest llama.cpp master tip: $tip"
echo "shipped paged pin: $pin"
echo "tip=$tip" >> "$GITHUB_OUTPUT"
{
echo "## llama.cpp paged canary"
echo ""
echo "- upstream master tip: \`$tip\`"
echo "- shipped paged pin: \`$pin\`"
} >> "$GITHUB_STEP_SUMMARY"
- name: Checkout llama.cpp at latest tip (shallow)
run: |
mkdir -p /tmp/llama.cpp
cd /tmp/llama.cpp
git init -q
git remote add origin "$LLAMA_UPSTREAM"
git fetch -q --depth 1 origin "${{ steps.resolve.outputs.tip }}"
git checkout -q FETCH_HEAD
git log --oneline -1
- name: Apply paged patch series (build's git-apply method)
run: |
bash .github/scripts/paged-canary-apply.sh \
/tmp/llama.cpp \
"$PWD/backend/cpp/llama-cpp/patches"
echo "- apply: full paged series applies to the upstream tip :white_check_mark:" >> "$GITHUB_STEP_SUMMARY"
compile:
# Proves the patches still COMPILE against the latest tip, using the SAME
# toolchain + build target the shipped paged backend uses (the
# base-grpc-cuda-12 builder base + the Makefile `grpc-server` cublas target),
# so a failure means upstream drift, not toolchain noise. CUDA is compiled
# (nvcc; no GPU required) because most of the paged series is CUDA kernels.
# Runs only if the apply check passed, on the exact tip it validated.
#
# If a full CUDA compile on the hosted runner ever proves too heavy/flaky,
# switch `runs-on` to 'bigger-runner' (the runner class the real paged CUDA
# build uses), or drop to a CPU build (BUILD_TYPE='') which still compiles
# all host + CPU paged code, leaving CUDA-kernel coverage to the apply check
# plus the manual PIN_SYNC GPU gate.
needs: apply-check
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
timeout-minutes: 180
steps:
- name: Checkout LocalAI
uses: actions/checkout@v7
- name: Free disk space
uses: ./.github/actions/free-disk-space
with:
mode: hosted
- name: Login to Quay.io
uses: docker/login-action@v4
with:
registry: quay.io
username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
- name: Compile paged backend against latest tip (cublas)
env:
TIP: ${{ needs.apply-check.outputs.tip }}
BUILDER_BASE_IMAGE: 'quay.io/go-skynet/ci-cache:base-grpc-cuda-12-amd64'
run: |
docker run --rm \
-v "$PWD":/LocalAI -w /LocalAI \
-e TIP -e LLAMA_UPSTREAM \
"$BUILDER_BASE_IMAGE" bash -euxo pipefail -c '
# Mirror the Dockerfile: gRPC lives at /opt/grpc in the base image;
# copy it to the prefix CMake find_package expects.
cp -a /opt/grpc/. /usr/local/
# Pre-populate the llama.cpp checkout at the latest tip with the
# paged series applied via the tolerant canary apply (so the benign
# 0019 dev-doc hunk does not abort the build). Because
# backend/cpp/llama-cpp/llama.cpp now exists, the Makefile
# llama.cpp target (strict clone + git apply) is skipped and
# prepare.sh sees the paged sentinel and skips re-applying - so we
# drive the REAL grpc-server build path on top of our apply.
cd backend/cpp/llama-cpp/
mkdir -p llama.cpp
cd llama.cpp
git init -q
git remote add origin "$LLAMA_UPSTREAM"
git fetch -q --depth 1 origin "$TIP"
git checkout -q FETCH_HEAD
cd /LocalAI
bash .github/scripts/paged-canary-apply.sh \
backend/cpp/llama-cpp/llama.cpp \
"$PWD/backend/cpp/llama-cpp/patches"
# Cheapest real CUDA build that proves the patches compile: one
# CUDA arch, cublas, paged on. CMAKE_ARGS is passed via the
# environment (not as a make arg) so the Makefile += flags are
# still appended, exactly like .docker/llama-cpp-localai-paged-compile.sh.
cd backend/cpp/llama-cpp/
BUILD_TYPE=cublas \
LLAMA_PAGED=on \
CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=80" \
make grpc-server
test -x grpc-server
'
echo "- compile: paged series builds (cublas) against the upstream tip :white_check_mark:" >> "$GITHUB_STEP_SUMMARY"