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ci: refactor llama-cpp variant Dockerfiles to consume prebuilt base-grpc images (PR 2/2) (#9738)

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* ci(backend_build): plumb builder-base-image and BUILDER_TARGET build-args

Adds an optional builder-base-image input. When set, BUILDER_BASE_IMAGE
is forwarded as a build-arg AND BUILDER_TARGET=builder-prebuilt is set
to select the variant Dockerfile's prebuilt-base stage. When empty,
BUILDER_TARGET=builder-fromsource (the default) keeps the existing
from-source build path.

This makes the prebuilt-base optimization opt-in per matrix entry
without breaking local `make backends/<name>` invocations or backends
whose Dockerfile doesn't have a prebuilt path.

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci(llama-cpp,ik-llama-cpp,turboquant): multi-target Dockerfiles for prebuilt + from-source

Restructure the three llama.cpp-derived Dockerfiles so each supports
two builder paths in a single file, selected via the BUILDER_TARGET
build-arg:

  BUILDER_TARGET=builder-fromsource (default)
    - Standalone build: gRPC stage + apt installs + (conditionally)
      CUDA/ROCm/Vulkan + compile.
    - Used by `make backends/llama-cpp` locally and any caller that
      doesn't supply a prebuilt base.

  BUILDER_TARGET=builder-prebuilt
    - FROM \${BUILDER_BASE_IMAGE} (one of quay.io/go-skynet/ci-cache:
      base-grpc-* shipped in PR #9737).
    - Skips ~25-35 min of gRPC compile + ~5-10 min of toolchain installs.
    - Used by CI when the matrix entry sets builder-base-image.

Final FROM scratch resolves BUILDER_TARGET via an aliasing FROM stage
(BuildKit doesn't support variable expansion directly in COPY --from),
then COPY --from=builder pulls package output from the chosen path.
BuildKit prunes the unreferenced builder, so each build only does the
work for the chosen path.

The compile RUN is identical between both builder stages, so it's
factored into .docker/<name>-compile.sh and bind-mounted into both.
ccache mount + cache-id stay per-arch / per-build-type.

Local DX preserved: `make backends/llama-cpp` (no extra args) defaults
to BUILDER_TARGET=builder-fromsource and works exactly as before.

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci(backend.yml,backend_pr.yml): forward builder-base-image from matrix

Plumbs the new optional builder-base-image input from matrix into
backend_build.yml. backend_build.yml derives BUILDER_TARGET from
whether builder-base-image is set, so matrix entries that map to a
prebuilt base get the prebuilt path; entries that don't (python/go/
rust backends) fall through to the default builder-fromsource (which
their own Dockerfiles don't reference, so it's a no-op for them).

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci(backend-matrix): wire builder-base-image to llama-cpp variants

For every entry whose Dockerfile is llama-cpp/ik-llama-cpp/turboquant,
add a builder-base-image field pointing at the appropriate prebuilt
quay.io/go-skynet/ci-cache:base-grpc-* tag.

backend_build.yml derives BUILDER_TARGET from this field's presence:
non-empty -> builder-prebuilt; empty -> builder-fromsource. So this
commit alone activates the prebuilt-base path for these 23 backends
in CI, while local `make backends/<name>` (no extra args) keeps the
from-source path.

Mapping by (build-type, arch):
- '' / amd64        -> base-grpc-amd64
- '' / arm64        -> base-grpc-arm64
- cublas-12 / amd64 -> base-grpc-cuda-12-amd64
- cublas-13 / amd64 -> base-grpc-cuda-13-amd64
- cublas-13 / arm64 -> base-grpc-cuda-13-arm64
- hipblas / amd64   -> base-grpc-rocm-amd64
- vulkan / amd64    -> base-grpc-vulkan-amd64
- vulkan / arm64    -> base-grpc-vulkan-arm64
- sycl_* / amd64    -> base-grpc-intel-amd64
- cublas-12 + JetPack r36.4.0 / arm64 -> base-grpc-l4t-cuda-12-arm64

Cold-build savings expected: ~25-35 min per variant (skips the gRPC
compile + toolchain install that's now in the base).

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci: add base-grpc-l4t-cuda-12-arm64 variant for legacy JetPack entries

Two matrix entries (-nvidia-l4t-arm64-llama-cpp, -nvidia-l4t-arm64-
turboquant) build against nvcr.io/nvidia/l4t-jetpack:r36.4.0 + CUDA
12 ARM64. They're distinct from -nvidia-l4t-cuda-13-arm64-* which use
Ubuntu 24.04 + CUDA 13 sbsa. Add the missing JetPack-based variant
to base-images.yml so those two entries' builder-base-image mapping
in the previous commit resolves.

Bootstrap order before merging this PR (re-run base-images.yml on
this branch — 9 existing variants hit BuildKit cache, only the new
l4t-cuda-12-arm64 builds cold):

  gh workflow run base-images.yml --ref ci/base-images-consumers

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci: extract base-builder install logic into .docker/install-base-deps.sh

Pre-extraction, the apt + protoc + cmake + conditional CUDA/ROCm/Vulkan
+ gRPC install logic was duplicated across four files:
  - backend/Dockerfile.base-grpc-builder (CI prebuilt-base source of truth)
  - backend/Dockerfile.llama-cpp (builder-fromsource stage)
  - backend/Dockerfile.ik-llama-cpp (builder-fromsource stage)
  - backend/Dockerfile.turboquant (builder-fromsource stage)

A bump to e.g. CUDA toolkit packages had to be made in 4 places, and
drift between the prebuilt base and the variant-Dockerfile from-source
path was a real concern (ik-llama-cpp's hipblas branch was already
missing the rocBLAS Kernels echo that llama-cpp / turboquant /
base-grpc-builder all had).

Factor the install logic into a single .docker/install-base-deps.sh
that reads its inputs from env vars and runs conditionally on
BUILD_TYPE / CUDA_*_VERSION / TARGETARCH. Each Dockerfile now bind-
mounts the script alongside .docker/apt-mirror.sh and invokes it from
a single RUN step.

The variant Dockerfiles' grpc-source stage is removed entirely — the
script handles gRPC compile + install at /opt/grpc, and the
builder-fromsource stage mirrors builder-prebuilt by copying
/opt/grpc/. to /usr/local/.

Result:
  - install-base-deps.sh: 244 lines (one source of truth)
  - Dockerfile.base-grpc-builder: 268 -> 98 lines
  - Dockerfile.llama-cpp: 361 -> 157 lines
  - Dockerfile.ik-llama-cpp: 348 -> 151 lines
  - Dockerfile.turboquant: 355 -> 154 lines
  - Total Dockerfile bytes: 1332 -> 560 lines (58% reduction)

Bit-equivalence between prebuilt and from-source paths is now enforced
by construction: both invoke the same script with the same inputs.
A side-effect is that ik-llama-cpp now also gets the rocBLAS Kernels
echo + clblas block parity it was previously missing.

Includes the BUILD_TYPE=clblas branch (libclblast-dev) for parity even
though no current CI matrix entry uses it.

After this commit's force-push, base-images.yml needs to be redispatched
on this branch — the Dockerfile.base-grpc-builder content shifts so the
existing cache won't apply for the install layer (gRPC layer also
rebuilds since it's now in the same RUN step).

Assisted-by: Claude:claude-opus-4-7

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci(base-images): skip-drivers on JetPack l4t variant

cuda-nvcc-12-0 isn't installable via apt on the JetPack r36.4.0 base
image — JetPack ships CUDA preinstalled at /usr/local/cuda and its
apt feed doesn't carry the cuda-nvcc-* packages from the public
repositories. The original matrix entry for -nvidia-l4t-arm64-llama-cpp
on master sets skip-drivers: 'true' for exactly this reason; the
new base-grpc-l4t-cuda-12-arm64 base needs to match.

Also forwards SKIP_DRIVERS as a build-arg from matrix into the build
(was missing entirely before this commit).

Caught by run 25612030775 — l4t-cuda-12-arm64 failed at:
  E: Package 'cuda-nvcc-12-0' has no installation candidate

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
LocalAI [bot]
2026-05-10 00:03:52 +02:00
committed by GitHub
parent acc5588d2c
commit 593f3a8648
13 changed files with 761 additions and 1008 deletions
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388
backend/Dockerfile.llama-cpp
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@@ -1,267 +1,84 @@
ARG BASE_IMAGE=ubuntu:24.04
ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
# BUILDER_BASE_IMAGE defaults to BASE_IMAGE so the Dockerfile parses even
# when no prebuilt base is supplied. The builder-prebuilt stage is only
# entered when BUILDER_TARGET=builder-prebuilt, so a "wrong" fallback
# content here is harmless — BuildKit prunes the unreferenced builder.
ARG BUILDER_BASE_IMAGE=${BASE_IMAGE}
# BUILDER_TARGET selects which builder stage the final scratch image copies
# package output from. Declared at global scope (before any FROM) so it's
# usable in `FROM ${BUILDER_TARGET}` below. Default keeps local
# `make backends/llama-cpp` on the from-source path.
ARG BUILDER_TARGET=builder-fromsource
ARG APT_MIRROR=""
ARG APT_PORTS_MIRROR=""
# The grpc target does one thing, it builds and installs GRPC. This is in it's own layer so that it can be effectively cached by CI.
# You probably don't need to change anything here, and if you do, make sure that CI is adjusted so that the cache continues to work.
FROM ${GRPC_BASE_IMAGE} AS grpc
# This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
ARG GRPC_MAKEFLAGS="-j4 -Otarget"
ARG GRPC_VERSION=v1.65.0
# ============================================================================
# Stage: builder-fromsource — self-contained build path.
# Runs .docker/install-base-deps.sh (apt deps + cmake + protoc + gRPC +
# conditional CUDA/ROCm/Vulkan), copies /opt/grpc to /usr/local, then
# compiles the variant. Used when BUILDER_TARGET=builder-fromsource (the
# default; local `make backends/llama-cpp`).
#
# The install script is the same one that backend/Dockerfile.base-grpc-builder
# runs, so the result is bit-equivalent to the prebuilt-base path
# (builder-prebuilt below).
# ============================================================================
FROM ${BASE_IMAGE} AS builder-fromsource
ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION
ARG CUDA_MINOR_VERSION
ARG CMAKE_FROM_SOURCE=false
# CUDA Toolkit 13.x compatibility: CMake 3.31.9+ fixes toolchain detection/arch table issues
ARG CMAKE_VERSION=3.31.10
ARG APT_MIRROR
ARG APT_PORTS_MIRROR
ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
WORKDIR /build
RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates \
build-essential curl libssl-dev \
git wget && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
# Install CMake (the version in 22.04 is too old)
RUN <<EOT bash
if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
else
apt-get update && \
apt-get install -y \
cmake && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
# We install GRPC to a different prefix here so that we can copy in only the build artifacts later
# saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree
# and running make install in the target container
RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
mkdir -p /build/grpc/cmake/build && \
cd /build/grpc/cmake/build && \
sed -i "216i\ TESTONLY" "../../third_party/abseil-cpp/absl/container/CMakeLists.txt" && \
cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
make && \
make install && \
rm -rf /build
FROM ${BASE_IMAGE} AS builder
ARG CMAKE_FROM_SOURCE=false
ARG CMAKE_VERSION=3.31.10
# We can target specific CUDA ARCHITECTURES like --build-arg CUDA_DOCKER_ARCH='75;86;89;120'
ARG CUDA_DOCKER_ARCH
ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
ARG CMAKE_ARGS
ENV CMAKE_ARGS=${CMAKE_ARGS}
ARG AMDGPU_TARGETS
ENV AMDGPU_TARGETS=${AMDGPU_TARGETS}
ARG BACKEND=rerankers
ARG BUILD_TYPE
ENV BUILD_TYPE=${BUILD_TYPE}
ARG CUDA_MAJOR_VERSION
ARG CUDA_MINOR_VERSION
ARG GRPC_VERSION=v1.65.0
ARG GRPC_MAKEFLAGS="-j4 -Otarget"
ARG SKIP_DRIVERS=false
ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
ENV DEBIAN_FRONTEND=noninteractive
ARG TARGETARCH
ARG TARGETVARIANT
ARG GO_VERSION=1.25.4
ARG UBUNTU_VERSION=2404
ARG APT_MIRROR
ARG APT_PORTS_MIRROR
ARG AMDGPU_TARGETS
# CUDA target archs, e.g. --build-arg CUDA_DOCKER_ARCH='75;86;89;120'
ARG CUDA_DOCKER_ARCH
ARG CMAKE_ARGS
RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
apt-get update && \
apt-get install -y --no-install-recommends \
build-essential \
ccache git \
ca-certificates \
make \
pkg-config libcurl4-openssl-dev \
curl unzip \
libssl-dev wget && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
ENV BUILD_TYPE=${BUILD_TYPE} \
CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION} \
CMAKE_FROM_SOURCE=${CMAKE_FROM_SOURCE} \
CMAKE_VERSION=${CMAKE_VERSION} \
GRPC_VERSION=${GRPC_VERSION} \
GRPC_MAKEFLAGS=${GRPC_MAKEFLAGS} \
SKIP_DRIVERS=${SKIP_DRIVERS} \
TARGETARCH=${TARGETARCH} \
UBUNTU_VERSION=${UBUNTU_VERSION} \
APT_MIRROR=${APT_MIRROR} \
APT_PORTS_MIRROR=${APT_PORTS_MIRROR} \
AMDGPU_TARGETS=${AMDGPU_TARGETS} \
CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH} \
CMAKE_ARGS=${CMAKE_ARGS} \
DEBIAN_FRONTEND=noninteractive
# Cuda
# CUDA on PATH (no-op when CUDA isn't installed)
ENV PATH=/usr/local/cuda/bin:${PATH}
# HipBLAS requirements
# HipBLAS / ROCm on PATH (no-op when ROCm isn't installed)
ENV PATH=/opt/rocm/bin:${PATH}
WORKDIR /build
# Vulkan requirements
RUN <<EOT bash
if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common pciutils wget gpg-agent && \
apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils
if [ "amd64" = "$TARGETARCH" ]; then
wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
mkdir -p /opt/vulkan-sdk && \
mv 1.4.335.0 /opt/vulkan-sdk/ && \
cd /opt/vulkan-sdk/1.4.335.0 && \
./vulkansdk --no-deps --maxjobs \
vulkan-loader \
vulkan-validationlayers \
vulkan-extensionlayer \
vulkan-tools \
shaderc && \
cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
rm -rf /opt/vulkan-sdk
fi
if [ "arm64" = "$TARGETARCH" ]; then
mkdir vulkan && cd vulkan && \
curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
tar -xvf vulkan-sdk.tar.xz && \
rm vulkan-sdk.tar.xz && \
cd 1.4.335.0 && \
cp -rfv aarch64/bin/* /usr/bin/ && \
cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
cp -rfv aarch64/include/* /usr/include/ && \
cp -rfv aarch64/share/* /usr/share/ && \
cd ../.. && \
rm -rf vulkan
fi
ldconfig && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
# CuBLAS requirements
RUN <<EOT bash
if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
apt-get update && \
apt-get install -y --no-install-recommends \
software-properties-common pciutils
if [ "amd64" = "$TARGETARCH" ]; then
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
fi
if [ "arm64" = "$TARGETARCH" ]; then
if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
else
curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
fi
fi
dpkg -i cuda-keyring_1.1-1_all.deb && \
rm -f cuda-keyring_1.1-1_all.deb && \
apt-get update && \
apt-get install -y --no-install-recommends \
cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
apt-get install -y --no-install-recommends \
libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
fi
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
# https://github.com/NVIDIA/Isaac-GR00T/issues/343
RUN <<EOT bash
if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
apt-get update && apt-get install -y nvpl
fi
EOT
# If we are building with clblas support, we need the libraries for the builds
RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
apt-get update && \
apt-get install -y --no-install-recommends \
libclblast-dev && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* \
; fi
RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
apt-get update && \
apt-get install -y --no-install-recommends \
hipblas-dev \
hipblaslt-dev \
rocblas-dev && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* && \
# I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
# to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
ldconfig && \
# Log which GPU architectures have rocBLAS kernel support
echo "rocBLAS library data architectures:" && \
(ls /opt/rocm*/lib/rocblas/library/Kernels* 2>/dev/null || ls /opt/rocm*/lib64/rocblas/library/Kernels* 2>/dev/null) | grep -oP 'gfx[0-9a-z+-]+' | sort -u || \
echo "WARNING: No rocBLAS kernel data found" \
; fi
RUN echo "TARGETARCH: $TARGETARCH"
# We need protoc installed, and the version in 22.04 is too old. We will create one as part installing the GRPC build below
# but that will also being in a newer version of absl which stablediffusion cannot compile with. This version of protoc is only
# here so that we can generate the grpc code for the stablediffusion build
RUN <<EOT bash
if [ "amd64" = "$TARGETARCH" ]; then
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-x86_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
fi
if [ "arm64" = "$TARGETARCH" ]; then
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-aarch_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
fi
EOT
# Install CMake (the version in 22.04 is too old)
RUN <<EOT bash
if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
else
apt-get update && \
apt-get install -y \
cmake && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
COPY --from=grpc /opt/grpc /usr/local
# Install everything via the shared script — the same one that
# backend/Dockerfile.base-grpc-builder runs, so the prebuilt CI base and
# this from-source path are bit-equivalent.
RUN --mount=type=bind,source=.docker/install-base-deps.sh,target=/usr/local/sbin/install-base-deps \
--mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
bash /usr/local/sbin/install-base-deps
# Mirror builder-prebuilt: copy gRPC from /opt/grpc to /usr/local so
# CMake's find_package finds it at the canonical prefix the Makefile expects.
RUN cp -a /opt/grpc/. /usr/local/
COPY . /LocalAI
@@ -273,45 +90,66 @@ COPY . /LocalAI
# CMAKE_*_COMPILER_LAUNCHER threads ccache through CMake to wrap gcc/g++/nvcc.
# sharing=locked serializes concurrent writes if multiple matrix variants
# share the same cache mount id.
RUN --mount=type=cache,target=/root/.ccache,id=llama-cpp-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked <<'EOT' bash
set -euxo pipefail
export CCACHE_DIR=/root/.ccache
ccache --max-size=5G || true
ccache -z || true
export CMAKE_ARGS="${CMAKE_ARGS:-} -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache"
if [[ -n "${CUDA_DOCKER_ARCH:-}" ]]; then
CUDA_ARCH_ESC="${CUDA_DOCKER_ARCH//;/\\;}"
export CMAKE_ARGS="${CMAKE_ARGS} -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCH_ESC}"
echo "CMAKE_ARGS(env) = ${CMAKE_ARGS}"
rm -rf /LocalAI/backend/cpp/llama-cpp-*-build
fi
if [ "${TARGETARCH}" = "arm64" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then
cd /LocalAI/backend/cpp/llama-cpp
make llama-cpp-fallback
make llama-cpp-grpc
make llama-cpp-rpc-server
else
cd /LocalAI/backend/cpp/llama-cpp
make llama-cpp-avx
make llama-cpp-avx2
make llama-cpp-avx512
make llama-cpp-fallback
make llama-cpp-grpc
make llama-cpp-rpc-server
fi
ccache -s || true
EOT
#
# The compile body is shared with builder-prebuilt via .docker/llama-cpp-compile.sh.
RUN --mount=type=bind,source=.docker/llama-cpp-compile.sh,target=/usr/local/sbin/compile.sh \
--mount=type=cache,target=/root/.ccache,id=llama-cpp-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
bash /usr/local/sbin/compile.sh
# Copy libraries using a script to handle architecture differences
RUN make -BC /LocalAI/backend/cpp/llama-cpp package
# ============================================================================
# Stage: builder-prebuilt — uses the pre-built base from
# quay.io/go-skynet/ci-cache:base-grpc-* (built by .github/workflows/base-images.yml).
# That image already has gRPC at /opt/grpc + apt deps + CUDA/ROCm/Vulkan
# pre-installed, so we just copy gRPC to /usr/local and compile. Used when
# BUILDER_TARGET=builder-prebuilt (CI when the matrix entry sets
# builder-base-image).
# ============================================================================
FROM ${BUILDER_BASE_IMAGE} AS builder-prebuilt
ARG BUILD_TYPE
ENV BUILD_TYPE=${BUILD_TYPE}
ARG CUDA_DOCKER_ARCH
ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
ARG CMAKE_ARGS
ENV CMAKE_ARGS=${CMAKE_ARGS}
ARG AMDGPU_TARGETS
ENV AMDGPU_TARGETS=${AMDGPU_TARGETS}
ARG TARGETARCH
ARG TARGETVARIANT
# The base-grpc-* image installs gRPC to /opt/grpc but doesn't copy it to
# /usr/local. The variant Dockerfile's from-source path does that too;
# mirror it here so the compile step can find gRPC at the canonical
# prefix the Makefile expects.
RUN cp -a /opt/grpc/. /usr/local/
COPY . /LocalAI
RUN --mount=type=bind,source=.docker/llama-cpp-compile.sh,target=/usr/local/sbin/compile.sh \
--mount=type=cache,target=/root/.ccache,id=llama-cpp-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
bash /usr/local/sbin/compile.sh
RUN make -BC /LocalAI/backend/cpp/llama-cpp package
# ============================================================================
# Final stage — copies package output from one of the two builders.
# BUILDER_TARGET selects which one. BuildKit prunes the unreferenced builder.
#
# BuildKit doesn't support variable expansion in `COPY --from=` directly,
# so we resolve the ARG by aliasing the chosen builder to a fixed stage
# name via `FROM ${BUILDER_TARGET} AS builder` and then COPY --from=builder.
# BUILDER_TARGET itself is declared as a global ARG at the top of this
# file (required for use in FROM), so we just re-import it into this
# stage's scope before the FROM directive.
# ============================================================================
FROM ${BUILDER_TARGET} AS builder
FROM scratch