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Dockerfile: Update AGX Orin example to L4T 36.2 #20

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Dockerfile: Update AGX Orin example to L4T 36.2 #20

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72 changes: 42 additions & 30 deletions jetson-agx-orin-devkit/Dockerfile
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Original file line number Diff line number Diff line change
Expand Up @@ -3,47 +3,53 @@

# AGX Orin, Orin NX and Orin Nano use the same T234 platform, therefore base images can be used
# interchangeably as long as nvidia.list contains the right apt repositoy
FROM balenalib/jetson-agx-orin-devkit-ubuntu:focal
FROM balenalib/jetson-agx-orin-devkit-ubuntu:jammy-20240401

# Prevent apt-get prompting for input
ENV DEBIAN_FRONTEND noninteractive

RUN echo "deb https://repo.download.nvidia.com/jetson/common r35.4 main" > /etc/apt/sources.list.d/nvidia.list \
&& echo "deb https://repo.download.nvidia.com/jetson/t234 r35.4 main" >> /etc/apt/sources.list.d/nvidia.list \
RUN echo "deb https://repo.download.nvidia.com/jetson/common r36.2 main" > /etc/apt/sources.list.d/nvidia.list \
&& echo "deb https://repo.download.nvidia.com/jetson/t234 r36.2 main" >> /etc/apt/sources.list.d/nvidia.list \
&& apt-key adv --fetch-key http://repo.download.nvidia.com/jetson/jetson-ota-public.asc \
&& mkdir -p /opt/nvidia/l4t-packages/ && touch /opt/nvidia/l4t-packages/.nv-l4t-disable-boot-fw-update-in-preinstall

# Download and install BSP binaries for L4T 35.4.1
RUN \
apt-get update && apt-get install -y wget tar lbzip2 binutils xz-utils zstd && \
cd /tmp/ && wget https://developer.nvidia.com/downloads/embedded/l4t/r35_release_v4.1/release/jetson_linux_r35.4.1_aarch64.tbz2 && \
tar xf jetson_linux_r35.4.1_aarch64.tbz2 && \
apt-get update && apt-get install -y wget tar lbzip2 binutils xz-utils zstd qemu-user-static cpio && \
cd /tmp/ && wget https://developer.nvidia.com/downloads/embedded/l4t/r36_release_v2.0/release/jetson_linux_r36.2.0_aarch64.tbz2 && \
tar xf jetson_linux_r36.2.0_aarch64.tbz2 && \
cd Linux_for_Tegra && \
sed -i 's/config.tbz2\"/config.tbz2\" --exclude=etc\/hosts --exclude=etc\/hostname/g' apply_binaries.sh && \
sed -i 's/CheckPackage qemu-user-static/#CheckPackage qemu-user-static/g' apply_binaries.sh && \
sed -i 's/trap CleanupVirEnv/#trap CleanupVirEnv/g' apply_binaries.sh && \
sed -i 's|cp /usr/bin/qemu-aarch64-static|#cp /usr/bin/qemu-aarch64-static|g' apply_binaries.sh && \
sed -i 's|cp /etc/resolv.conf|#cp /etc/resolv.conf|g' apply_binaries.sh && \
sed -i 's|mv "${LDK_ROOTFS_DIR}/etc/resolv.conf"|cp "${LDK_ROOTFS_DIR}/etc/resolv.conf"|g' apply_binaries.sh && \
sed -i 's| PrepareVirEnv|#PrepareVirEnv|g' apply_binaries.sh && \
sed -i 's/install --owner=root --group=root \"${QEMU_BIN}\" \"${L4T_ROOTFS_DIR}\/usr\/bin\/\"/#install --owner=root --group=root \"${QEMU_BIN}\" \"${L4T_ROOTFS_DIR}\/usr\/bin\/\"/g' nv_tegra/nv-apply-debs.sh && \
sed -i 's/chroot . \// /g' nv_tegra/nv-apply-debs.sh && \
./apply_binaries.sh -r / --target-overlay && cd .. \
rm -rf Linux_for_Tegra && \
echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf && ldconfig

## Install X and xfce
# Install X and xfce
RUN \
apt-get install -y --no-install-recommends \
xserver-xorg-input-evdev \
xinit \
xfce4 \
xfce4-terminal \
x11-xserver-utils \
dbus-x11 \
xterm
apt-get install -y --no-install-recommends \
xserver-xorg-input-evdev \
xinit \
xfce4 \
xfce4-terminal \
x11-xserver-utils \
dbus-x11 \
xterm

ENV LD_LIBRARY_PATH=/usr/lib/aarch64-linux-gnu/tegra
ENV UDEV=1

# Prevent screen from turning off
RUN echo "#!/bin/bash" > /etc/X11/xinit/xserverrc \
&& echo "" >> /etc/X11/xinit/xserverrc \
&& echo 'exec /usr/bin/X -s 0 dpms' >> /etc/X11/xinit/xserverrc
&& echo "" >> /etc/X11/xinit/xserverrc \
&& echo 'exec /usr/bin/X -s 0 dpms' >> /etc/X11/xinit/xserverrc

## If any apt packages install mesa-egl, it will overwrite the tegra-egl
## symlink and ld path, so the following command will ensure tegra-egl remains
Expand All @@ -54,21 +60,27 @@ RUN echo "#!/bin/bash" > /etc/X11/xinit/xserverrc \
# && ldconfig

## Optional: Sample CUDA Clock sample run in webterminal:
## apt-get update && apt-get install nvidia-l4t-cuda nvidia-cuda cuda-samples-11-4 && cd /usr/local/cuda-11.4/samples/0_Simple/clock/ && make && ./clock
## Example Output:
##
## ./simpleTexture
## simpleTexture starting...
## GPU Device 0: "Ampere" with compute capability 8.7
## apt-get update && apt-get install -y nvidia-l4t-cuda nvidia-cuda cuda-toolkit build-essential git && git clone https://github.com/NVIDIA/cuda-samples.git && cd cuda-samples/Samples/1_Utilities/deviceQuery/ && make && ./deviceQuery
##
## Example Output:
##
## ...
## Processing time: 0.486000 (ms)
## 539.39 Mpixels/sec
## ..
## simpleTexture completed, returned OK
# ./deviceQuery Starting...
#
# CUDA Device Query (Runtime API) version (CUDART static linking)
#
# Detected 1 CUDA Capable device(s)
#
# Device 0: "Orin"
# CUDA Driver Version / Runtime Version 12.2 / 12.2
# CUDA Capability Major/Minor version number: 8.7
# Total amount of global memory: 30701 MBytes (32191905792 bytes)
# (016) Multiprocessors, (128) CUDA Cores/MP: 2048 CUDA Cores
# GPU Max Clock rate: 1300 MHz (1.30 GHz)
# ...
# deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 12.2, CUDA Runtime Version = 12.2, NumDevs = 1
# Result = PASS

# Start XFCE desktop
## Start XFCE desktop

CMD ["startxfce4"]