Add nvidia l2t image

nvidia/l4t-base/README.md

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+# l4t-base
+
+Linux for Tegra (L4T) base image. Tegra is a system on a chip (SoC) series
+developed by NVIDIA. 
+
+Linux for Tegra (L4T) provides the necessary software to develop and deploy
+for NVIDIA Tegra devices. This usually includes the Linux kernel, hardware
+drivers, libraries, APIs, and other tools. The NVIDIA Jetson series, aimed
+at AI and deep learning tasks on edge devices utilize Tegra and supports
+L4T.
+
+Based on:
+https://gitlab.com/nvidia/container-images/l4t-base

nvidia/l4t-base/r35.4.1/Containerfile

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+FROM docker.io/arm64v8/ubuntu:20.04
+
+ARG RELEASE=r35.4
+ARG DEBIAN_FRONTEND=noninteractive
+RUN apt-get update && \
+    apt-get upgrade -y && \
+    apt-get install -qq -y --no-install-recommends \
+    bc \
+    bzip2 \
+    can-utils \
+    ca-certificates \
+    freeglut3-dev \
+    gnupg2 \
+    gstreamer1.0-alsa \
+    gstreamer1.0-libav \
+    gstreamer1.0-plugins-bad \
+    gstreamer1.0-plugins-base \
+    gstreamer1.0-plugins-good \
+    gstreamer1.0-plugins-ugly \
+    gstreamer1.0-tools \
+    i2c-tools \
+    iw \
+    kbd \
+    kmod \
+    language-pack-en-base \
+    libapt-pkg-dev \
+    libcanberra-gtk3-module \
+    libgles2 \
+    libglu1-mesa-dev \
+    libglvnd-dev \
+    libgtk-3-0 \
+    libpython2.7 \
+    libudev1 \
+    libvulkan1 \
+    libzmq5 \
+    mtd-utils \
+    parted \
+    pciutils \
+    python \
+    python-pexpect \
+    python3-distutils \
+    python3-numpy \
+    sox \
+    udev \
+    vulkan-utils \
+    wget \
+    wireless-tools wpasupplicant && \
+    rm -rf /var/lib/apt/lists/* && apt-get clean
+
+COPY jetson-ota-public.key /etc/jetson-ota-public.key
+RUN apt-key add /etc/jetson-ota-public.key
+RUN echo "deb https://repo.download.nvidia.com/jetson/common $RELEASE main" >> /etc/apt/sources.list
+
+RUN echo "/usr/lib/aarch64-linux-gnu/tegra" >> /etc/ld.so.conf.d/nvidia-tegra.conf && \
+    echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf
+
+RUN rm /usr/share/glvnd/egl_vendor.d/50_mesa.json
+RUN mkdir -p /usr/share/glvnd/egl_vendor.d/ && echo '\
+{\
+    "file_format_version" : "1.0.0",\
+    "ICD" : {\
+        "library_path" : "libEGL_nvidia.so.0"\
+    }\
+}' > /usr/share/glvnd/egl_vendor.d/10_nvidia.json
+
+RUN mkdir -p /usr/share/egl/egl_external_platform.d/ && echo '\
+{\
+    "file_format_version" : "1.0.0",\
+    "ICD" : {\
+        "library_path" : "libnvidia-egl-wayland.so.1"\
+    }\
+}' > /usr/share/egl/egl_external_platform.d/nvidia_wayland.json
+
+RUN ldconfig
+
+ENV NVIDIA_VISIBLE_DEVICES all
+ENV NVIDIA_DRIVER_CAPABILITIES all
+
+CMD ["/bin/bash"]
+

nvidia/l4t-base/r35.4.1/docker-bake.hcl

@@ -0,0 +1,5 @@
+target "default" {
+  tags = ["docker.io/polymathrobotics/nvidia-l4t-base:35.4.1"]
+  dockerfile = "Containerfile"
+  platforms = ["linux/arm64"]
+}

nvidia/l4t-base/r35.4.1/jetson-ota-public.key

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