Hi, when i run a particular container (which is new just a script to test why), i get this warning. also, if i do anything more in the script it just becomes worse.
mount: /sys/kernel/debug: nodev already mounted or mount point busy.
i also get this, mount: /sys/kernel/debug: nodev already mounted or mount point busy. CNDT /usr/bin/entry.sh: line 38: 30 Killed udevadm trigger &> /dev/null
here is the Docker file, which will eventually run an Ai Project hence the libs. i have added another Express project to see if this is just a container or the whole proejct.
FROM balenalib/jetson-nano-emmc-ubuntu:bionic
# Don't prompt with any configuration questions
ENV DEBIAN_FRONTEND noninteractive
# Set our working directory
WORKDIR /usr/src/app
# Install CUDA, CUDA samples and some utilities
RUN \
#apt-get update && apt-get install -y cuda-toolkit-10-2 cuda-samples-10-2 \
apt-get update && apt-get install -y cuda-toolkit-10-2 \
lbzip2 wget tar python3 python3-pip libegl1 libcudnn8 \
nvidia-cudnn8 nvidia-cuda
# # use `install_packages` if you need to install dependencies,
# # for instance if you need git, just uncomment the line below.
RUN apt-get install -y git libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
RUN apt-get install -y build-essential libatlas-base-dev libsm6 libxext6 libxrender1 libfontconfig1
RUN apt-get install -y pkg-config
RUN apt-get update
RUN apt-get install -y vim
RUN apt-get update && apt-get install -y wget tar lbzip2 python3 libegl1 && \
wget https://developer.nvidia.com/embedded/l4t/r32_release_v5.2/t210/jetson-210_linux_r32.5.2_aarch64.tbz2 && \
tar xf jetson-210_linux_r32.5.2_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/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/LC_ALL=C chroot . mount -t proc none \/proc/ /g' nv_tegra/nv-apply-debs.sh && \
sed -i 's/umount ${L4T_ROOTFS_DIR}\/proc/ /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 Tegra210_Linux_R32.4.4_aarch64.tbz2 && \
rm -rf jetson-210_linux_r32.5.2_aarch64.tbz2 && \
echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf && ldconfig
# pip install python deps from requirements.txt on the resin.io build server
RUN pip3 install setuptools==49.6.0 cython
RUN pip3 install -U --no-deps numpy==1.19.4 future==0.18.2 mock==3.0.5 keras_preprocessing==1.1.2 keras_applications==1.0.8 gast==0.4.0 protobuf==3.19.4 pybind11 cython pkgconfig
RUN env H5PY_SETUP_REQUIRES=0 pip3 install -U h5py==2.9.0
#RUN pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow-gpu==1.14.0+nv19.7
RUN pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow==1.15.4+nv20.12
RUN install_packages python3-sklearn
RUN pip3 install --upgrade pip
RUN pip3 install scikit-build
RUN pip3 install keras==2.3.1 opencv-python-headless
RUN pip3 install numpy==1.18.5
# This will copy all files in our root to the working directory in the container
COPY . ./
RUN chmod +x start.sh
# scriptwill run when container starts up on the device
CMD ["bash","start.sh"]
The Docker Compose file:
version: '2.1'
services:
CNDT:
build: ./CNDT2
network_mode: host
privileged: true
restart: always
ports:
- "8085:8085"
expose:
- "80"
environment:
- UDEV=1
- 'DBUS_SYSTEM_BUS_ADDRESS=unix:path=/host/run/dbus/system_bus_socket'
labels:
io.balena.features.dbus: '1'
io.balena.features.kernel-modules: "1"
io.balena.features.sysfs: "1"
io.balena.features.supervisor-api: "1"
express:
build: ./Express
network_mode: host
privileged: true
restart: always
ports:
- "3000:3000"
expose:
- "80"
environment:
- UDEV=1
- 'DBUS_SYSTEM_BUS_ADDRESS=unix:path=/host/run/dbus/system_bus_socket'
labels:
io.balena.features.dbus: '1'
io.balena.features.kernel-modules: "1"
io.balena.features.sysfs: "1"
io.balena.features.supervisor-api: "1"
any ideas?
Tim