llama.cpp/.devops/full-cuda.Dockerfile

ARG UBUNTU_VERSION=22.04
# This needs to generally match the container host's environment.
ARG CUDA_VERSION=12.6.0
# Target the CUDA build image
ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}

FROM ${BASE_CUDA_DEV_CONTAINER} AS build

# CUDA architecture to build for (defaults to all supported archs)
ARG CUDA_DOCKER_ARCH=default

RUN apt-get update && \
    apt-get install -y build-essential cmake python3 python3-pip git libcurl4-openssl-dev libgomp1

COPY requirements.txt   requirements.txt
COPY requirements       requirements

RUN pip install --upgrade pip setuptools wheel \
    && pip install -r requirements.txt

WORKDIR /app

COPY . .

# Use the default CUDA archs if not specified
RUN if [ "${CUDA_DOCKER_ARCH}" != "default" ]; then \
        export CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=${CUDA_DOCKER_ARCH}"; \
    fi && \
    cmake -B build -DGGML_CUDA=ON -DLLAMA_CURL=ON ${CMAKE_ARGS} -DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined . && \
    cmake --build build --config Release --target llama-cli -j$(nproc) && \
    cp build/bin/* .

ENTRYPOINT ["/app/.devops/tools.sh"]