Dockerfile.cuda

# --------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# --------------------------------------------------------------
# Build onnxruntime-gpu python package with CUDA 12.x & CUDNN 9.x for python 3.12 in Ubuntu 24.04.
# If memory is less than 64GB, you may change "--parallel" to "--parallel 4" to avoid out-of-memory error.

ARG CUDA_VERSION=12.6.1
ARG CUDNN_VERSION=9.5.0.50
ARG OS=ubuntu24.04

FROM nvcr.io/nvidia/cuda:${CUDA_VERSION}-devel-${OS}
ARG CUDA_VERSION
ARG CUDNN_VERSION
# Adjust as needed 
# Check your CUDA arch: https://developer.nvidia.com/cuda-gpus
ARG CMAKE_CUDA_ARCHITECTURES="75;80;90"

ENV DEBIAN_FRONTEND=noninteractive

# Add source code to /code
ADD . /code

ENV PATH=/usr/local/cuda/bin:${PATH}

# Install required packages
RUN apt-get update && apt-get install -y --no-install-recommends \
    ca-certificates \
    g++ \
    gcc \
    make \
    git \
    cmake \
    wget \
    ninja-build \
    python3-pip \
    python3.12-dev \
    python3.12-venv \
    && rm -rf /var/lib/apt/lists/*

# Install CUDNN 9.4.0.58 for building ONNX Runtime with CUDA.
RUN cudnn_tar="cudnn-linux-x86_64-${CUDNN_VERSION}_cuda${CUDA_VERSION%%.*}-archive.tar.xz" \
    && wget "https://developer.download.nvidia.com/compute/cudnn/redist/cudnn/linux-x86_64/${cudnn_tar}" \
    && mkdir -p /code/build/cudnn \
    && tar -Jxvf ${cudnn_tar} -C /code/build/cudnn --strip=1 \
    && rm -f ${cudnn_tar}

# Create a virtual environment and install dependencies, then build ONNX Runtime with CUDA support.
RUN cd /code \
    && python3 -m venv /code/env \
    && . /code/env/bin/activate \
    && pip install --upgrade psutil setuptools wheel packaging \
    && pip install -r /code/tools/ci_build/github/linux/python/requirements.txt \
    && python /code/tools/ci_build/build.py --build_dir /code/build/Linux \
    --allow_running_as_root --skip_submodule_sync \
    --use_cuda --cuda_home /usr/local/cuda \
    --cudnn_home /code/build/cudnn \
    --build_shared_lib --skip_tests \
    --config Release --build_wheel --update --build --parallel \
    --cmake_generator Ninja \
    --cmake_extra_defines ONNXRUNTIME_VERSION=$(cat ./VERSION_NUMBER) "CMAKE_CUDA_ARCHITECTURES=${CMAKE_CUDA_ARCHITECTURES}" onnxruntime_BUILD_UNIT_TESTS=OFF

# Start second stage to copy the build artifacts
FROM nvcr.io/nvidia/cuda:${CUDA_VERSION}-runtime-${OS}
ARG CUDA_VERSION
ARG CUDNN_VERSION
ARG GIT_COMMIT
ARG GIT_BRANCH
ARG ONNXRUNTIME_VERSION

# Make sure the required build arguments are set. See README.md for more information.
RUN test -n ${GIT_COMMIT:?}
RUN test -n ${GIT_BRANCH:?}
RUN test -n ${ONNXRUNTIME_VERSION:?}

LABEL CUDA_VERSION="${CUDA_VERSION}"
LABEL CUDNN_VERSION="${CUDNN_VERSION}"
LABEL maintainer="Changming Sun <chasun@microsoft.com>"
LABEL onnxruntime_version="${ONNXRUNTIME_VERSION}"
LABEL onnxruntime_git_branch="${GIT_BRANCH}"
LABEL onnxruntime_git_commit="${GIT_COMMIT}"

# Copy built wheel and license
COPY --from=0 /code/build/Linux/Release/dist /ort
COPY --from=0 /code/dockerfiles/LICENSE-IMAGE.txt /code/LICENSE-IMAGE.txt

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV CUDNN_VERSION=$CUDNN_VERSION
ENV ONNXRUNTIME_VERSION=$ONNXRUNTIME_VERSION
# CUDNN from nvidia-cudnn-cu12 python package is located in the site-packages directory of python virtual environment.
ENV LD_LIBRARY_PATH="/ort/env/lib/python3.12/site-packages/nvidia/cudnn/lib:/usr/local/cuda/lib64"

# Install runtime dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    libstdc++6 \
    ca-certificates \
    python3-pip \
    python3.12-venv \
    && python3 -m venv /ort/env \
    && . /ort/env/bin/activate \
    && pip install /ort/*.whl \
    && pip install nvidia-cudnn-cu${CUDA_VERSION%%.*}==${CUDNN_VERSION} \
    && python -c 'import onnxruntime; print(onnxruntime.get_available_providers())' \
    && rm -rf /ort/*.whl \
    && rm -rf /var/lib/apt/lists/*

# Ensure the virtual environment is always activated when running commands in the container.
RUN echo ". /ort/env/bin/activate" >> ~/.bashrc

# Set the default command to start an interactive bash shell
CMD [ "/bin/bash" ]