Files
llama.cpp/.github/workflows/build-self-hosted.yml
T
511f9c1379 OpenVINO: Update OV to 2026.3.1, whisper.cpp support, Qwen3.5 on NPU, and new ops (#27843)
* OpenVINO Backend: Fuse IM2COL + MatMul convolution into OpenVINO convolution

* ci:ggml-ov: Skip recurrent state rollback tests

* ci:ggml-ov: Skip recurrent state rollback tests

* Update OPENVINO.md

* ggml-openvino : add env-var gated op support debugging

* Fix ggml_rope_set_offset case

* OpenVINO backend: Support Whisper.cpp

* Fix code style

* openvino : enable qwen35 on NPU

Static shapes:
- get_graph_input_shape() left the s_copy / s_copy-leaf inputs dynamic
  ([1,1,1,-1]) even in static mode, which propagated a dynamic slot dim through
  GET_ROWS into the conv/GDN state, the state reshapes and the GDN output.
- With -np 1 the s_copy defrag remainder gathers zero rows; short-circuit that
  CPY to the untouched cache instead of emitting a degenerate Slice/Concat, and
  skip binding its zero-byte ggml tensor as an output (the dynamic path already
  did the latter, the static path wrote the full cache over a 0-byte buffer).

Token-count independence:
- In static mode the compiled model's token count is the prefill chunk size or
  1, not the captured cgraph's. Offsets derived from the captured count were
  therefore wrong. Anchor the GDN state slice at the end of the packed
  [attn | state] output and drop the rs_src_begin runtime inputs, and make
  VIEWs over the GDN output / conv_input pass through so the consumer does the
  slicing.
- CONT could not identify its token axis when the graph was captured with a
  single token (every trailing dim has the same stride and size 1) and baked
  the captured shape into the prefill model.

Chunked prefill:
- The last chunk is padded with fabricated tokens. Attention masks them, but
  the recurrent path folded them into cache_r/cache_s permanently. Add a
  chunk_valid_len runtime input, use it to zero g and beta for padded steps
  (making the recurrence an exact identity) and to end the conv snapshot window
  at the last valid token, and disable the recurrent-cache reset after the
  first chunk so earlier chunks are not wiped.
- get_is_prefill() and the chunk loop bound read inp_pos->ne[0] directly, but
  IMROPE stacks 4 position planes, so every decode step was run through the
  padded prefill model and the loop ran extra out-of-bounds chunks.

cache_rs_reset_idx/len now stay runtime Parameters in static mode, since
can_reuse_statically() does not invalidate the cached model on ComputeParams
changes. Add GGML_OPENVINO_FORCE_STATIC to exercise the static path on CPU.

* Update to OpenVINO 2026.3.1

* ggml-openvino: forward NPU compilation mode parameters

Add GGML_OPENVINO_NPU_COMPILE_CONFIG to the backend's cached environment so callers can configure the NPU compiler without using the generic property escape hatch.

When the value is non-empty, pass it to OpenVINO as NPU_COMPILATION_MODE_PARAMS. This enables settings such as optimization-level=3 for NPU compilation while preserving the existing behavior when the variable is unset and leaving CPU and GPU configuration unchanged.

Document the variable, its NPU-only scope, and the optimization-level=3 example in the OpenVINO backend runtime configuration table.

* ggml-openvino : support RELU, POOL_2D, QUICK_GEGLU, and ROLL ops

* reorder op table

* exclude GPU/NPU failing POOL_2D case

* move op type detection to compute_op_case

* Relax rope supported cases

* Fix pool case

* Update openvino doc, gpu driver in ov docker

* openvino: remove unused static remote context branch

* openvino: parallelize static model build

* Apply editorconfig

---------

Co-authored-by: Mostafa Faheem <[email protected]>
Co-authored-by: Ravi Panchumarthy <[email protected]>
Co-authored-by: zhaixuejun1993 <[email protected]>
2026-08-28 14:42:07 +03:00

410 lines
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YAML

name: CI (self-hosted)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-self-hosted.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.cuh',
'**/*.swift',
'**/*.m',
'**/*.metal',
'**/*.comp',
'**/*.glsl',
'**/*.wgsl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-self-hosted.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.cuh',
'**/*.swift',
'**/*.m',
'**/*.metal',
'**/*.comp',
'**/*.glsl',
'**/*.wgsl'
]
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
gpu-cuda:
runs-on: [self-hosted, Linux, NVIDIA]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
nvidia-smi
GG_BUILD_CUDA=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-rocm:
runs-on: [self-hosted, Linux, AMD]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
# HIP_LAUNCH_BLOCKING=1: workaround for an async-execution correctness
# issue on integrated RDNA3.5 (gfx1151) where batched inference returns
# incorrect output (perplexity ~88 vs ~9.4). Serializing kernel launches
# restores correctness. Remove once the underlying ROCm/HIP issue is fixed.
env:
HIP_LAUNCH_BLOCKING: "1"
run: |
rocminfo
GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS=gfx1151 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-vulkan-nvidia-cm:
runs-on: [self-hosted, Linux, NVIDIA]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 GGML_VK_DISABLE_COOPMAT2=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-vulkan-nvidia-cm2:
runs-on: [self-hosted, Linux, NVIDIA, COOPMAT2]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-webgpu-nvidia:
runs-on: [self-hosted, Linux, NVIDIA, X64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260317.182325"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-ubuntu-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Test
id: ggml-ci
run: |
GG_BUILD_WEBGPU=1 \
GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
GG_BUILD_WEBGPU_DAWN_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# TODO: provision AMX-compatible machine
#cpu-amx:
# runs-on: [self-hosted, Linux, CPU, AMX]
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Test
# id: ggml-ci
# run: |
# bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# TODO: provision AMD GPU machine
# amd-vulkan:
# runs-on: [self-hosted, Linux, AMD]
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Test
# id: ggml-ci
# run: |
# vulkaninfo --summary
# GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# TODO: provision AMD GPU machine
# amd-rocm:
# runs-on: [self-hosted, Linux, AMD]
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Test
# id: ggml-ci
# run: |
# amd-smi static
# GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-metal:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-webgpu-apple:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260317.182325"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-18eb229ef5f707c1464cc581252e7603c73a3ef0-macos-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Test
id: ggml-ci
run: |
GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-vulkan-apple:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-vulkan-intel-linux:
runs-on: [self-hosted, Linux, Intel]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-vulkan-intel-windows:
runs-on: [self-hosted, Windows, X64, Intel]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
shell: C:\msys64\usr\bin\bash.exe --noprofile --norc -eo pipefail "{0}"
env:
MSYSTEM: UCRT64
CHERE_INVOKING: 1
PATH: C:\msys64\ucrt64\bin;C:\msys64\usr\bin;C:\Windows\System32;${{ env.PATH }}
run: |
vulkaninfo --summary
# Skip python related tests with GG_BUILD_LOW_PERF=1 since Windows MSYS2 UCRT64 currently fails to create
# a valid python environment for testing
LLAMA_FATAL_WARNINGS=OFF GG_BUILD_NINJA=1 GG_BUILD_VULKAN=1 GG_BUILD_LOW_PERF=1 ./ci/run.sh ./results/llama.cpp ./mnt/llama.cpp
gpu-openvino-low-perf:
runs-on: [self-hosted, Linux, Intel, OpenVINO]
env:
# Sync versions in build.yml, build-self-hosted.yml, release.yml, build-cache.yml, .devops/openvino.Dockerfile
OPENVINO_VERSION_MAJOR: "2026.3.1"
OPENVINO_VERSION_FULL: "2026.3.1.22476.56d9685302d"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Setup OpenVINO Toolkit
uses: ./.github/actions/linux-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
- name: Install OpenVINO dependencies
run: |
cd ./openvino_toolkit
chmod +x ./install_dependencies/install_openvino_dependencies.sh
echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
- name: Test
id: ggml-ci
run: |
source ./openvino_toolkit/setupvars.sh
GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
cpu-x64-high-perf:
runs-on: [self-hosted, Linux, X64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
cpu-arm64-high-perf-graviton4:
runs-on: ah-ubuntu_22_04-c8g_8x
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
set -euxo pipefail
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
apt-get install -y \
build-essential \
python3-venv \
gpg \
wget \
time \
git-lfs
git lfs install
# install the latest cmake
sudo install -d /usr/share/keyrings
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
| gpg --dearmor \
| sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
| sudo tee /etc/apt/sources.list.d/kitware.list
sudo apt-get update
sudo apt-get install -y cmake
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_NO_BF16=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
cpu-arm64-graviton4-kleidiai:
runs-on: ah-ubuntu_22_04-c8g_8x
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
set -euxo pipefail
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
apt-get install -y \
build-essential \
python3-venv \
gpg \
wget \
time \
git-lfs
git lfs install
# install the latest cmake
sudo install -d /usr/share/keyrings
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
| gpg --dearmor \
| sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
| sudo tee /etc/apt/sources.list.d/kitware.list
sudo apt-get update
sudo apt-get install -y cmake
- name: Test
id: ggml-ci
run: |
GG_BUILD_KLEIDIAI=1 \
GG_BUILD_EXTRA_TESTS_0=1 \
bash ./ci/run.sh ./tmp/results ./tmp/mnt