libsvo.so: cannot open shared object file: No such file or directory

[RobertWu266]

(base) ccwu@ccwu-MS-7D24:~/PycharmProjects/RL_VO/rl_vo$ bash launch_container.sh
non-network local connections being added to access control list

==========
== CUDA ==
==========

CUDA Version 12.1.0

Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.

This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license

A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.

*************************
** DEPRECATION NOTICE! **
*************************
THIS IMAGE IS DEPRECATED and is scheduled for DELETION.
    https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/support-policy.md

groups: cannot find name for group ID 1000
I have no name!@ccwu-MS-7D24:/workspace/rl_vo$ CUDA_VISIBLE_DEVICES=0 python train.py
Matplotlib created a temporary cache directory at /tmp/matplotlib-45dsw8eo because the default path (/home/ccwu/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
Traceback (most recent call last):
  File "train.py", line 9, in <module>
    from env.svo_wrapper import VecSVOEnv
  File "/workspace/rl_vo/env/svo_wrapper.py", line 10, in <module>
    import svo_env
ImportError: libsvo.so: cannot open shared object file: No such file or directory

My libsvo.so is under my rl_vo/svo-lib/build/svo/

For debugging, I will provide my Dockerfile and launch_container.sh
/home/ccwu/PycharmProjects/RL_VO/rl_vo/Dockerfile

FROM nvidia/cuda:12.1.0-devel-ubuntu20.04

RUN apt-get update && apt-get -y install sudo

ENV NVIDIA_VISIBLE_DEVICES \
    ${NVIDIA_VISIBLE_DEVICES:-all}
ENV NVIDIA_DRIVER_CAPABILITIES \
    ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}graphics

ENV USERNAME ccwu
ENV HOME /home/$USERNAME

RUN useradd -m $USERNAME && \
        echo "$USERNAME:$USERNAME" | chpasswd && \
        usermod --shell /bin/bash $USERNAME && \
        usermod -aG sudo $USERNAME && \
        mkdir -p /etc/sudoers.d && \
        echo "$USERNAME ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers.d/$USERNAME && \
        chmod 0440 /etc/sudoers.d/$USERNAME && \
        # Replace 1003 with your user/group id
        usermod  --uid 1003 $USERNAME && \
  groupmod --gid 1001 $USERNAME

# svo-lib dependecies
RUN apt-get update
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y python3-importlib-metadata python3-more-itertools python3-zipp python3-tk tmux
RUN apt-get update
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y libglew-dev libopencv-dev libyaml-cpp-dev cmake libboost-all-dev nvidia-container-toolkit
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y python3 python3-pip python3.8-venv libeigen3-dev python3-pybind11
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y libsuitesparse-dev
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y valgrind
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y libssl-dev

# Create Python Environmnent
RUN python3 -m venv /venv
ENV PATH="/venv/bin:$PATH"
RUN pip3 install networkx==3.1
RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
COPY requirements.txt /app/
WORKDIR /app
RUN pip install -r requirements.txt

USER ccwu
WORKDIR /workspace/rl_vo/

/home/ccwu/PycharmProjects/RL_VO/rl_vo/launch_container.sh

#!/bin/sh
xhost local:root

XAUTH=/tmp/.docker.xauth

docker run --privileged --rm -it \
    --volume /home/ccwu/PycharmProjects/RL_VO/rl_vo/:/workspace/rl_vo/:rw \
    --volume /home/ccwu/PycharmProjects/RL_VO/rl_vo/dataset/TartanAir/:/datasets/TartanAir/:ro \
    --volume /home/ccwu/PycharmProjects/RL_VO/rl_vo/dataset/EuRoC/:/datasets/EuRoC/:ro \
    --volume /home/ccwu/PycharmProjects/RL_VO/rl_vo/dataset/TUM-RGBD/:/datasets/TUM-RGBD/:ro \
    --volume /home/ccwu/PycharmProjects/RL_VO/rl_vo/log_voRL/:/logs/log_voRL/:rw \
    --env="DISPLAY=$DISPLAY" \
    --env="QT_X11_NO_MITSHM=1" \
    --volume "/tmp/.X11-unix:/tmp/.X11-unix:rw" \
    --env="XAUTHORITY=$XAUTH" \
    --volume "$XAUTH:$XAUTH" \
    --net=host \
    --ipc=host \
    --privileged \
    --user $(id -u):$(id -g) \
    --gpus=all \
    vo_rl \
    bash

/home/ccwu/PycharmProjects/RL_VO/rl_vo/svo-lib/Dockerfile

FROM ubuntu:20.04

# Own dependecies
RUN apt-get update
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y python3-importlib-metadata python3-more-itertools python3-zipp
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y libglew-dev libopencv-dev libyaml-cpp-dev cmake libboost-all-dev
RUN DEBIAN_FRONTEND=noninteractive apt-get install -y python3 python3-pip python3.8-venv libeigen3-dev python3-pybind11

# Create Python Environmnent
RUN python3 -m venv /venv
ENV PATH="/venv/bin:$PATH"
COPY requirements.txt /app/
WORKDIR /app
RUN pip install -r requirements.txt


# Set work directory to repo
WORKDIR /workspace/svo-rl/

/home/ccwu/PycharmProjects/RL_VO/rl_vo/svo-lib/launch_container.sh

#!/bin/sh
xhost local:root


XAUTH=/tmp/.docker.xauth

docker run --privileged --rm -it \
    --volume /home/ccwu/PycharmProjects/RL_VO/rl_vo/svo-lib/:/workspace/svo-rl/:rw \
    --env="DISPLAY=$DISPLAY" \
    --env="QT_X11_NO_MITSHM=1" \
    --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \
    --env="XAUTHORITY=$XAUTH" \
    --volume="$XAUTH:$XAUTH" \
    --net=host \
    --privileged \
    svo_lib
    bash