docker/Dockerfile.isaaclab230

#FROM nvcr.nju.edu.cn/nvidia/isaac-lab:2.3.0
FROM isaac-lab-base:latest

ENV ACCEPT_EULA=Y
ENTRYPOINT []

# desktop
RUN --mount=type=cache,target=/var/cache/apt \
    sed -i 's/archive.ubuntu.com/mirrors.ivolces.com/g' /etc/apt/sources.list && \
    sed -i 's/security.ubuntu.com/mirrors.ivolces.com/g' /etc/apt/sources.list && \
    apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get install -y locales && \
    locale-gen en_US.UTF-8 && \
    update-locale LANG=en_US.UTF-8 LC_CTYPE=en_US.UTF-8 && \
    apt-get install -y wget curl \
        xfce4 \
        xfce4-goodies \
        xorg \
        dbus-x11 \
        x11-xserver-utils \
        tigervnc-standalone-server \
        tigervnc-common \
        tigervnc-tools \
        fonts-dejavu \
        fonts-liberation
# cuda 12.2
RUN --mount=type=cache,target=/var/cache/apt \
    cd /tmp && \
    wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub && \
    apt-key add 3bf863cc.pub && \
    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
    apt-get update && \
    apt-get install -y libcusparselt0 libnccl2=2.27.3-1+cuda12.2 libglfw3 libgl1-mesa-glx libosmesa6 && \
    rm -f 3bf863cc.pub

# libero
RUN --mount=type=cache,target=/root/.cache/pip \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install easydict==1.9 robosuite==1.4.0 bddl==1.0.1 future==0.18.2 cloudpickle==2.1.0

RUN --mount=type=cache,target=/root/.cache/pip \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install transformers[hf_xet]

RUN --mount=type=cache,target=/root/.cache/pip \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install --upgrade numpy==1.26.4 ray[default] \
    accelerate codetiming datasets dill hydra-core pandas peft pyarrow>=19.0.0 pybind11 pylatexenc

# openvla-oft
RUN --mount=type=cache,target=/root/.cache/pip \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install pre-commit torchdata packaging>=20.0 uvicorn fastapi latex2sympy2_extended math_verify tensorboard


# flash_attn
RUN cd /tmp && \
    wget -nv https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.0.post2/flash_attn-2.8.0.post2+cu12torch2.7cxx11abiFALSE-cp311-cp311-linux_x86_64.whl && \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install /tmp/flash_attn-2.8.0.post2+cu12torch2.7cxx11abiFALSE-cp311-cp311-linux_x86_64.whl && \
    rm -f /tmp/flash_attn-2.8.0.post2+cu12torch2.7cxx11abiFALSE-cp311-cp311-linux_x86_64.whl

RUN --mount=type=cache,target=/root/.cache/pip \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install --upgrade protobuf==3.20.3 timm==0.9.16

RUN --mount=type=cache,target=/root/.cache/pip \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install orjson==3.11.3 pyvers==0.1.0 tensordict==0.10.0 --force --no-deps


RUN mkdir -p /root/.vnc && \
    cat <<'EOP' > /root/.vnc/xstartup 
#!/bin/sh
unset SESSION_MANAGER
unset DBUS_SESSION_BUS_ADDRESS
[ -r \$HOME/.Xresources ] && xrdb \$HOME/.Xresources
xsetroot -solid grey
exec startxfce4
EOP

RUN cat <<'EOP' > /root/.vnc/config
geometry=1920x1080
depth=24
desktop=Isaac-Sim-Desktop
dpi=96
localhost=no
EOP

RUN cat <<'EOP' > /root/start_isaac_vnc.sh
#!/bin/bash
# 设置显示变量
export DISPLAY=:1

# 检查VNC是否运行
if ! pgrep -f "Xvnc.*:1" > /dev/null; then
    echo "Starting VNC server..."
    vncserver :1 -localhost no -geometry 1920x1080 -depth 24 -desktop "Isaac-Sim-Desktop"
    sleep 3
fi

# 启动Isaac Sim
echo "Starting Isaac Sim..."
/workspace/isaaclab/_isaac_sim/isaac-sim.sh --allow-root
EOP

RUN chmod +x /root/.vnc/xstartup && \
    chmod +x /root/start_isaac_vnc.sh

RUN /workspace/isaaclab/_isaac_sim/isaac-sim.sh --allow-root --ext-precache-mode

RUN cd /root && \
    git clone https://github.com/Lifelong-Robot-Learning/LIBERO.git && \
    cd LIBERO && \
    git apply <<'EOP'
diff --git a/setup.py b/setup.py
index 59d4900..dbe9811 100644
--- a/setup.py
+++ b/setup.py
@@ -13,7 +13,8 @@ long_description = "".join(lines)

 setup(
     name="libero",
-    packages=[package for package in find_packages() if package.startswith("libero")],
+    #packages=[package for package in find_packages() if package.startswith("libero")],
+    packages=["libero"],
     install_requires=[],
     eager_resources=["*"],
     include_package_data=True,
EOP

RUN cd /root/LIBERO && \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install -e .

# libero config
RUN mkdir -p /root/.libero && \
cat <<'EOP' > /root/.libero/config.yaml
assets: /root/LIBERO/libero/libero/./assets
bddl_files: /root/LIBERO/libero/libero/./bddl_files
benchmark_root: /root/LIBERO/libero/libero
datasets: /root/LIBERO/libero/libero/../datasets
init_states: /root/LIBERO/libero/libero/./init_files
EOP

# from https://github.com/nvidia-china-sae/RobotLearningLab
COPY RobotLearningLab/ /root/RobotLearningLab/

RUN cd /workspace/isaaclab/ && \
    rm -rf source && \
    ln -s /root/RobotLearningLab/source source && \
    /workspace/isaaclab/_isaac_sim/python.sh -m pip install -e ./source/isaaclab
# Ray cmd
RUN /workspace/isaaclab/_isaac_sim/python.sh -m pip install colorama && \
cat <<'EOP' >> /root/.bashrc
alias ray='/workspace/isaaclab/_isaac_sim/python.sh /workspace/isaaclab/_isaac_sim/kit/python/lib/python3.11/site-packages/ray/scripts/scripts.py'
EOP