mirror of
https://github.com/mudler/LocalAI.git
synced 2026-05-17 04:56:52 -04:00
4e154b59e5
Two unrelated CI breakages bundled together since both are one-liners: - rerankers: bump torch 2.4.1 -> 2.7.1 on cpu/cublas12. The unpinned transformers resolves to 5.x, whose moe.py registers a custom_op with string-typed `'torch.Tensor'` annotations that torch 2.4.1's infer_schema rejects, blocking the gRPC server from starting and failing all 5 backend tests with "Connection refused" on :50051. Matches the version used by the transformers backend. - vllm-omni: strip fa3-fwd from the upstream requirements/cuda.txt before resolving on aarch64. fa3-fwd 0.0.3 ships only an x86_64 wheel and has no sdist, making the cuda profile unsatisfiable on Jetson/SBSA. fa3-fwd is a soft runtime dep — vllm-omni's attention backends fall back to FA2 then SDPA when it's missing. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
97 lines
3.5 KiB
Bash
Executable File
97 lines
3.5 KiB
Bash
Executable File
#!/bin/bash
|
|
set -e
|
|
|
|
PYTHON_VERSION="3.12"
|
|
PYTHON_PATCH="12"
|
|
PY_STANDALONE_TAG="20251120"
|
|
|
|
backend_dir=$(dirname $0)
|
|
if [ -d $backend_dir/common ]; then
|
|
source $backend_dir/common/libbackend.sh
|
|
else
|
|
source $backend_dir/../common/libbackend.sh
|
|
fi
|
|
|
|
# Handle l4t build profiles (Python 3.12, pip fallback) if needed.
|
|
# unsafe-best-match is required on l4t13 because the jetson-ai-lab index
|
|
# lists transitive deps at limited versions — without it uv pins to the
|
|
# first matching index and fails to resolve a compatible wheel from PyPI.
|
|
if [ "x${BUILD_PROFILE}" == "xl4t13" ]; then
|
|
PYTHON_VERSION="3.12"
|
|
PYTHON_PATCH="12"
|
|
PY_STANDALONE_TAG="20251120"
|
|
EXTRA_PIP_INSTALL_FLAGS="${EXTRA_PIP_INSTALL_FLAGS:-} --index-strategy=unsafe-best-match"
|
|
fi
|
|
|
|
if [ "x${BUILD_PROFILE}" == "xl4t12" ]; then
|
|
USE_PIP=true
|
|
fi
|
|
|
|
# Install base requirements first
|
|
installRequirements
|
|
|
|
# Install vllm based on build type. vllm-omni tracks vllm master from
|
|
# source (cloned below) so we leave the upstream vllm dependency unpinned
|
|
# — vllm 0.19+ ships cu130 wheels by default, which is what we want for
|
|
# cublas13. Older cuda12/rocm/cpu paths still resolve a compatible wheel
|
|
# from the relevant channel.
|
|
if [ "x${BUILD_TYPE}" == "xhipblas" ]; then
|
|
# ROCm
|
|
if [ "x${USE_PIP}" == "xtrue" ]; then
|
|
pip install vllm==0.14.0 --extra-index-url https://wheels.vllm.ai/rocm/0.14.0/rocm700
|
|
else
|
|
uv pip install vllm==0.14.0 --extra-index-url https://wheels.vllm.ai/rocm/0.14.0/rocm700
|
|
fi
|
|
elif [ "x${BUILD_PROFILE}" == "xl4t13" ]; then
|
|
# JetPack 7 / L4T arm64 cu130 — vllm comes from the prebuilt SBSA wheel
|
|
# at jetson-ai-lab. Version is unpinned: the index ships whatever build
|
|
# matches the cu130/cp312 ABI. unsafe-best-match lets uv fall through
|
|
# to PyPI for transitive deps not present on the jetson-ai-lab index.
|
|
if [ "x${USE_PIP}" == "xtrue" ]; then
|
|
pip install vllm --extra-index-url https://pypi.jetson-ai-lab.io/sbsa/cu130
|
|
else
|
|
uv pip install --index-strategy=unsafe-best-match vllm --extra-index-url https://pypi.jetson-ai-lab.io/sbsa/cu130
|
|
fi
|
|
elif [ "x${BUILD_PROFILE}" == "xcublas13" ]; then
|
|
# vllm 0.19+ defaults to cu130 wheels on PyPI, no extra index needed.
|
|
if [ "x${USE_PIP}" == "xtrue" ]; then
|
|
pip install vllm --torch-backend=auto
|
|
else
|
|
uv pip install vllm --torch-backend=auto
|
|
fi
|
|
elif [ "x${BUILD_TYPE}" == "xcublas" ] || [ "x${BUILD_TYPE}" == "x" ]; then
|
|
# cuda12 / CPU — keep the 0.14.0 pin for compatibility with the existing
|
|
# cuda12 vllm-omni image; bumping should be its own change.
|
|
if [ "x${USE_PIP}" == "xtrue" ]; then
|
|
pip install vllm==0.14.0 --torch-backend=auto
|
|
else
|
|
uv pip install vllm==0.14.0 --torch-backend=auto
|
|
fi
|
|
else
|
|
echo "Unsupported build type: ${BUILD_TYPE}" >&2
|
|
exit 1
|
|
fi
|
|
|
|
# Clone and install vllm-omni from source
|
|
if [ ! -d vllm-omni ]; then
|
|
git clone https://github.com/vllm-project/vllm-omni.git
|
|
fi
|
|
|
|
cd vllm-omni/
|
|
|
|
# fa3-fwd ships no aarch64 wheels and there is no source distribution, so on
|
|
# aarch64 (e.g. l4t13 / SBSA cu130) the upstream requirements/cuda.txt is
|
|
# unsatisfiable. Drop it before resolving — vllm-omni does not hard-require
|
|
# the fused FA3 kernel at import time on Jetson/SBSA targets.
|
|
if [ "$(uname -m)" = "aarch64" ] && [ -f requirements/cuda.txt ]; then
|
|
sed -i '/^fa3-fwd[[:space:]]*==/d' requirements/cuda.txt
|
|
fi
|
|
|
|
if [ "x${USE_PIP}" == "xtrue" ]; then
|
|
pip install ${EXTRA_PIP_INSTALL_FLAGS:-} -e .
|
|
else
|
|
uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} -e .
|
|
fi
|
|
|
|
cd ..
|