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dynamo/container/templates/dev.Dockerfile

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{#
# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#}
# === BEGIN templates/dev.Dockerfile ===
# ======================================================================
# STAGE: dynamo_tools for developers
# ======================================================================
# Why this is a separate stage (not merged into `dev`):
# - `dev` is built FROM the framework `runtime` image. Installing lots of tooling with apt in that stage is slow and
# makes rebuilds expensive when iterating on later dev layers.
# - Keeping tooling installation in `dynamo_tools` lets Docker cache the tools layer independently; `dev` can then
# pull those binaries/configs in via COPY.
FROM runtime AS dynamo_tools
ARG ARCH
ARG ARCH_ALT
ENV DEBIAN_FRONTEND=noninteractive
ENV PATH=/usr/local/bin:${PATH}
USER root
SHELL ["/bin/bash", "-c"]
# NOTE: We intentionally disable the NVIDIA CUDA apt repo for this stage.
# The upstream runtime images may ship CUDA apt sources that occasionally go out of sync (mirror updates),
# causing apt-get update to fail with "File has unexpected size ... Mirror sync in progress".
# This stage only installs generic developer tools that are available from Ubuntu repos, so CUDA repos are unnecessary.
#
# We also add a small retry/backoff to make transient apt metadata issues less disruptive.
# Cache apt downloads; sharing=locked avoids apt/dpkg races with concurrent builds.
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
set -eux; \
if [ -d /etc/apt/sources.list.d ]; then \
mkdir -p /tmp/apt-disabled; \
for f in /etc/apt/sources.list.d/*.list; do \
[ -e "$f" ] || continue; \
if grep -q "developer.download.nvidia.com/compute/cuda/repos" "$f"; then \
mv "$f" "/tmp/apt-disabled/$(basename "$f")"; \
fi; \
done; \
fi; \
for i in 1 2 3 4 5; do \
apt-get update -y && break; \
rm -rf /var/lib/apt/lists/*; \
sleep $((i * 5)); \
done; \
apt-get install -y --no-install-recommends \
# Core CLI utilities
ca-certificates \
curl \
wget \
git \
git-lfs \
less \
grep \
sed \
# Editors / shells
vim \
nano \
htop \
tmux \
screen \
zsh \
fish \
bash-completion \
# Networking / transfers
net-tools \
openssh-client \
iproute2 \
iputils-ping \
zip \
unzip \
rsync \
# Build toolchain
build-essential \
cmake \
autoconf \
automake \
libtool \
meson \
ninja-build \
pybind11-dev \
pkg-config \
protobuf-compiler \
# Debugging / tracing
gdb \
valgrind \
strace \
ltrace \
# JSON/YAML + filesystem helpers
jq \
yq \
tree \
fd-find \
ripgrep \
# Privilege escalation + crypto tooling
sudo \
gnupg2 \
gnupg1 \
# GPU / perf helpers
nvtop \
# Python
python3 \
python3-pip \
python3-venv \
# Native deps for Python/Rust wheels
patchelf \
clang \
libclang-dev && \
rm -rf /var/lib/apt/lists/* && \
# Initialize Git LFS for the dynamo user (required for requirements with lfs=true)
git lfs install
# Install awk separately with fault tolerance.
# awk is a virtual package with multiple implementations (gawk, mawk, original-awk).
# Cache apt downloads; sharing=locked avoids apt/dpkg races with concurrent builds.
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
(apt-get update && \
(apt-get install -y --no-install-recommends gawk || \
apt-get install -y --no-install-recommends mawk || \
apt-get install -y --no-install-recommends original-awk || \
echo "Warning: Could not install any awk implementation") && \
rm -rf /var/lib/apt/lists/*) && \
(command -v awk >/dev/null 2>&1 && echo "awk available: $(command -v awk)" || echo "awk not available")
# Add NVIDIA devtools repository and install development tools (nsight-systems).
# Cache apt downloads; sharing=locked avoids apt/dpkg races with concurrent builds.
RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
wget -qO - "https://developer.download.nvidia.com/devtools/repos/ubuntu2404/${ARCH}/nvidia.pub" \
| gpg --dearmor -o /etc/apt/keyrings/nvidia-devtools.gpg && \
echo "deb [signed-by=/etc/apt/keyrings/nvidia-devtools.gpg] https://developer.download.nvidia.com/devtools/repos/ubuntu2404/${ARCH} /" \
| tee /etc/apt/sources.list.d/nvidia-devtools.list && \
apt-get update && \
apt-get install -y --no-install-recommends nsight-systems-2025.5.1 && \
rm -rf /var/lib/apt/lists/*
# ======================================================================
# TARGET: dev (root-based development)
# ======================================================================
FROM runtime AS dev
# Redeclare ARGs for use in this stage
ARG FRAMEWORK
USER root
# Redeclare build args for use in this stage
ARG PYTHON_VERSION
# Ensure the runtime stage always has /usr/bin/python3.
# - vLLM/TRTLLM runtime images may only have Python in /opt/dynamo/venv/bin/{python,python3}
# - SGLang runtime images typically have /usr/bin/python3 already
# - framework=none runtime stage now installs /usr/bin/python3
RUN if [ ! -e /usr/bin/python3 ]; then \
if [ -x /opt/dynamo/venv/bin/python3 ]; then \
ln -s /opt/dynamo/venv/bin/python3 /usr/bin/python3; \
elif [ -x /opt/dynamo/venv/bin/python ]; then \
ln -s /opt/dynamo/venv/bin/python /usr/bin/python3; \
elif command -v python3 >/dev/null 2>&1; then \
ln -s $(command -v python3) /usr/bin/python3; \
elif command -v python >/dev/null 2>&1; then \
ln -s $(command -v python) /usr/bin/python3; \
else \
echo "ERROR: Could not find Python to symlink to /usr/bin/python3" >&2; \
exit 1; \
fi; \
fi
# Copy UCX and NIXL libraries for dev stage compilation.
# The upstream SGLang runtime image doesn't include NIXL, but cargo build needs to link against
# -lnixl, -lnixl_build, and -lnixl_common. Runtime stage doesn't need this since it uses pre-built
# wheels, but dev stage needs it for maturin develop and cargo build from source.
# - SGLang: Copy NIXL/UCX/libfabric/gdrcopy binaries from wheel_builder (not in upstream lmsysorg/sglang runtime).
# - vllm/trtllm/none: NIXL/UCX are already present in runtime (no-op).
ARG ARCH_ALT
RUN --mount=from=wheel_builder,target=/wheel_builder \
if [ "${FRAMEWORK}" = "sglang" ]; then \
if [ -d /wheel_builder/usr/local/ucx ] && [ -d /wheel_builder/opt/nvidia/nvda_nixl ]; then \
mkdir -p /opt/nvidia /usr/include /usr/lib64 /etc/ld.so.conf.d; \
cp -r /wheel_builder/opt/nvidia/nvda_nixl /opt/nvidia/; \
cp -r /wheel_builder/usr/local/ucx /usr/local/; \
cp -r /wheel_builder/usr/local/libfabric /usr/local/; \
cp /wheel_builder/usr/include/gdrapi.h /usr/include/; \
cp /wheel_builder/usr/lib64/libgdrapi.so* /usr/lib64/; \
echo "/usr/lib64" >> /etc/ld.so.conf.d/gdrcopy.conf; \
# SGLang expects ARCH-qualified lib paths; mirror lib64 into lib/${ARCH_ALT}-linux-gnu for parity.
if [ -d /opt/nvidia/nvda_nixl/lib64 ]; then \
mkdir -p /opt/nvidia/nvda_nixl/lib/${ARCH_ALT}-linux-gnu; \
cp -r /opt/nvidia/nvda_nixl/lib64/. /opt/nvidia/nvda_nixl/lib/${ARCH_ALT}-linux-gnu/; \
fi; \
fi; \
fi
# All frameworks use the same path pattern: /opt/nvidia/nvda_nixl/lib/${ARCH_ALT}-linux-gnu
# For vllm/trtllm/none: This resets the same values already set in runtime (no harm)
# For sglang: This sets them for the first time (required)
ENV NIXL_PREFIX=/opt/nvidia/nvda_nixl \
NIXL_LIB_DIR=/opt/nvidia/nvda_nixl/lib/${ARCH_ALT}-linux-gnu \
NIXL_PLUGIN_DIR=/opt/nvidia/nvda_nixl/lib/${ARCH_ALT}-linux-gnu/plugins
# Set universal CUDA development environment variables (all frameworks)
# vLLM: Dockerfile.vllm line 533, 597
# TRT-LLM: Dockerfile.trtllm lines 600-606
ENV CUDA_HOME=/usr/local/cuda \
CPATH=/usr/local/cuda/include \
CUDA_DEVICE_ORDER=PCI_BUS_ID \
TRITON_CUPTI_PATH=/usr/local/cuda/include \
TRITON_CUDACRT_PATH=/usr/local/cuda/include \
TRITON_CUOBJDUMP_PATH=/usr/local/cuda/bin/cuobjdump \
TRITON_NVDISASM_PATH=/usr/local/cuda/bin/nvdisasm \
TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas \
TRITON_CUDART_PATH=/usr/local/cuda/include \
NVIDIA_DRIVER_CAPABILITIES=video,compute,utility
# Base LD_LIBRARY_PATH with universal paths (all frameworks have these)
# Framework-specific paths are conditionally added in /etc/profile.d/50-framework-paths.sh
ARG PYTHON_VERSION
ENV LD_LIBRARY_PATH=\
${NIXL_LIB_DIR}:\
${NIXL_PLUGIN_DIR}:\
/usr/local/ucx/lib:\
/usr/local/ucx/lib/ucx:\
${LD_LIBRARY_PATH}
# Copy shell profile script for framework-specific environment variables
# This script conditionally adds PATH/LD_LIBRARY_PATH entries based on what exists
COPY --chmod=755 container/dev/50-framework-paths.sh /etc/profile.d/50-framework-paths.sh
# Set umask for group-writable files in dev stage (runs as root)
RUN mkdir -p /etc/profile.d && echo 'umask 002' > /etc/profile.d/00-umask.sh
SHELL ["/bin/bash", "-l", "-o", "pipefail", "-c"]
# Developer tools are installed in the dynamo_tools layer and copied into the runtime-based dev image.
# This keeps dev builds fast and avoids apt-get in runtime-derived stages.
#
# IMPORTANT: Do not clobber runtime /usr/bin/python3 (SGLang depends on system python3 being present).
# We stash the pre-tools python3 (which may be a real binary or a symlink we created earlier for vLLM/TRTLLM)
# and restore it after copying toolchains from dynamo_tools.
RUN if [ -e /usr/bin/python3 ]; then cp -a /usr/bin/python3 /tmp/python3.pretools; fi
COPY --from=dynamo_tools /usr/bin/ /usr/bin/
COPY --from=dynamo_tools /usr/sbin/ /usr/sbin/
COPY --from=dynamo_tools /usr/lib/ /usr/lib/
COPY --from=dynamo_tools /usr/libexec/ /usr/libexec/
COPY --from=dynamo_tools /lib/ /lib/
COPY --from=dynamo_tools /usr/share/ /usr/share/
COPY --from=dynamo_tools /etc/alternatives/ /etc/alternatives/
COPY --from=dynamo_tools /etc/bash_completion.d/ /etc/bash_completion.d/
COPY --from=dynamo_tools /etc/sudoers /etc/sudoers
COPY --from=dynamo_tools /etc/sudoers.d/ /etc/sudoers.d/
COPY --from=dynamo_tools /opt/nvidia/ /opt/nvidia/
# Restore the pre-tools python3 (keeps SGLang system python intact and avoids venv symlink loops).
RUN if [ -e /tmp/python3.pretools ]; then cp -af /tmp/python3.pretools /usr/bin/python3; fi
ARG WORKSPACE_DIR=/workspace
# Dev environment variables (aligned with framework dev stages)
# Framework-specific PATH additions are handled in /etc/profile.d/50-framework-paths.sh
ENV WORKSPACE_DIR=${WORKSPACE_DIR} \
DYNAMO_HOME=${WORKSPACE_DIR} \
RUSTUP_HOME=/usr/local/rustup \
CARGO_HOME=/usr/local/cargo \
CARGO_TARGET_DIR=/workspace/target \
VIRTUAL_ENV=/opt/dynamo/venv \
PATH=/opt/dynamo/venv/bin:/usr/local/cargo/bin:$PATH
# Copy Rust/Cargo/Maturin from the concatenated framework stages.
# - Rust/Cargo: from `wheel_builder` (already installed there)
# - maturin: from `wheel_builder` venv (installed there via uv pip)
COPY --from=wheel_builder --chown=dynamo:0 --chmod=775 /usr/local/rustup /usr/local/rustup
COPY --from=wheel_builder --chown=dynamo:0 --chmod=775 /usr/local/cargo /usr/local/cargo
COPY --from=wheel_builder --chown=dynamo:0 --chmod=775 /workspace/.venv/bin/maturin /usr/local/bin/maturin
# Provide an `uv` binary for SGLang venv creation below.
COPY --from=ghcr.io/astral-sh/uv:latest /uv /tmp/uv-binary
# Create venv for SGLang (vLLM/TensorRT-LLM/framework=none already have /opt/dynamo/venv from runtime)
# - SGLang: Use --system-site-packages to inherit runtime packages, then copy user site-packages
# - framework=none: Runtime already has venv with dynamo packages installed
# Note: umask 002 from login shell ensures files are group-writable
RUN if [ "${FRAMEWORK}" = "sglang" ]; then \
mkdir -p /opt/dynamo/venv && \
python3 -m venv --system-site-packages /opt/dynamo/venv && \
# Copy all packages from runtime stage system site-packages into venv
# This includes ai-dynamo-runtime, kubernetes, and all other dependencies
# Use --no-preserve=mode so copied files inherit umask 002 (group-writable)
cp -r --no-preserve=mode /usr/local/lib/python${PYTHON_VERSION}/dist-packages/* \
/opt/dynamo/venv/lib/python${PYTHON_VERSION}/site-packages/; \
# Ensure `uv` is available on PATH for subsequent `uv pip ...` steps.
cp /tmp/uv-binary /opt/dynamo/venv/bin/uv && \
chmod +x /opt/dynamo/venv/bin/uv && \
# Install maturin into the base interpreter so we can build/repair wheels when needed.
pip install --ignore-installed maturin[patchelf]; \
elif [ "${FRAMEWORK}" = "none" ] && [ ! -d /opt/dynamo/venv ]; then \
mkdir -p /opt/dynamo && \
python3 -m venv /opt/dynamo/venv; \
fi
# Initialize Git LFS for the dynamo user (required for requirements with lfs=true)
RUN git lfs install
# Install common and test dependencies (matches main Dockerfile dev stage)
# This installs pytest-benchmark and other test dependencies required for CI
# TRT-LLM specific: Also installs cupy-cuda13x with special index strategy (Dockerfile.trtllm lines 768-776)
# SGLang specific: Reinstall pytest to ensure venv has pytest executable with correct shebang
ARG FRAMEWORK
RUN --mount=type=bind,source=./container/deps/requirements.txt,target=/tmp/requirements.txt \
--mount=type=bind,source=./container/deps/requirements.test.txt,target=/tmp/requirements.test.txt \
# Cache uv downloads; uv handles its own locking for this cache.
--mount=type=cache,target=/root/.cache/uv \
export UV_CACHE_DIR=/root/.cache/uv UV_GIT_LFS=1 UV_HTTP_TIMEOUT=300 UV_HTTP_RETRIES=5 && \
uv pip install \
--index-strategy unsafe-best-match \
--extra-index-url https://download.pytorch.org/whl/cu130 \
--requirement /tmp/requirements.txt \
--requirement /tmp/requirements.test.txt && \
if [ "${FRAMEWORK}" = "sglang" ]; then \
uv pip install --force-reinstall --no-deps pytest; \
fi
# Copy entire workspace (old design - simpler for CI)
# .dockerignore filters out unwanted files (.git, build artifacts, etc.)
WORKDIR ${WORKSPACE_DIR}
COPY --chmod=775 --chown=dynamo:0 ./ ${WORKSPACE_DIR}/
RUN chmod g+w ${WORKSPACE_DIR}
# Install benchmarks package (includes prefix_data_generator, tabulate, etc.)
RUN --mount=type=cache,target=/root/.cache/uv \
cd ${WORKSPACE_DIR}/benchmarks && \
export UV_CACHE_DIR=/root/.cache/uv UV_GIT_LFS=1 UV_HTTP_TIMEOUT=300 UV_HTTP_RETRIES=5 && \
uv pip install .
# Install maturin and create editable install entry points.
#
# Why the `uv` check:
# - This dev stage uses `uv` earlier (requirements + benchmarks). For SGLang, we also install an `uv` binary into
# /opt/dynamo/venv/bin and put that venv on PATH, so `uv` is expected to be available here in normal builds.
# - The `command -v uv` guard is defensive: on SGLang, `uv` needs to "disappear" from PATH and we fall back to
# `python3 -m pip` so the editable install can still proceed (instead of failing mid-layer with a confusing error).
# Cache uv downloads; uv handles its own locking for this cache.
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=cache,target=/root/.cache/pip,sharing=locked \
export UV_CACHE_DIR=/root/.cache/uv UV_HTTP_TIMEOUT=300 UV_HTTP_RETRIES=5 PIP_CACHE_DIR=/root/.cache/pip && \
if [ -f pyproject.toml ]; then \
if command -v uv >/dev/null 2>&1; then \
uv pip install maturin[patchelf] && uv pip install --no-deps -e . ; \
else \
python3 -m pip install maturin[patchelf] && python3 -m pip install --no-deps -e . ; \
fi; \
else \
echo "ERROR: pyproject.toml not found in ${WORKSPACE_DIR}; expected to build from the Dynamo repo root." >&2; \
exit 1; \
fi && \
chmod -R g+w /root/.cache /home/dynamo/.cache 2>/dev/null || true
# Set commit SHA for tests (passed via docker build as --build-arg)
ARG DYNAMO_COMMIT_SHA
ENV DYNAMO_COMMIT_SHA=$DYNAMO_COMMIT_SHA
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
CMD []
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