Я использую Docker 18 CE на ОС Ubuntu 18.04. Базовый образ моего docker - это также Ubuntu 18.04. Я пытаюсь создать собственный docker образ, где я также могу запустить и использовать nvidia и cuda. Я получаю необычную проблему только при установке cuda.
Это код для получения исполняемого файла.
RUN wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run RUN chmod +x cuda_9.0.176_384.81_linux-run
RUN ./cuda_9.0.176_384.81_linux-run
Когда docker начинает установку, в частности, достигает этой точки
Step 16/33 : RUN ./cuda_9.0.176_384.81_linux-run
---> Running in dcca0c9973cc
The command line turns completely blank. I dont see an error message, or logs for the process as you usually do. It's just pitch black. I've let it run for hours and there is no response.
Мой Dockerfile выглядит следующим образом:
FROM ubuntu:18.04
RUN apt-get update -y && apt-get install -y \
build-essential \
curl \
apt-utils \
python \
python-dev \
python-pip \
python3 \
python3-dev \
python3-pip \
swig \
unzip \
sox \
libsox-dev \
python-pyaudio \
git \
wget \
silversearcher-ag \
ranger \
ffmpeg \
python3-levenshtein \
python-numpy \
libcurl3-dev \
ca-certificates \
gcc-6 \
g++-6 \
libsox-fmt-mp3 \
htop \
nano \
cmake \
zlib1g-dev \
libbz2-dev \
liblzma-dev \
locales \
pkg-config \
libsox-dev \
freeglut3-dev \
libx11-dev \
libxmu-dev \
libxi-dev \
libglu1-mesa \
libglu1-mesa-dev \
dpkg
RUN DEBIAN_FRONTEND=noninteractive apt-get install keyboard-configuration
WORKDIR /home/setup/
RUN wget https://github.com/bazelbuild/bazel/releases/download/0.15.0/bazel-0.15.0-installer-linux-x86_64.sh
RUN chmod +x bazel-0.15.0-installer-linux-x86_64.sh
RUN ./bazel-0.15.0-installer-linux-x86_64.sh
RUN rm bazel-0.15.0-installer-linux-x86_64.sh
# Install NVIDIA
#RUN sudo echo "blacklist nouveau" >> /etc/modprobe.d/blacklist-nouveau.conf
#RUN sudo echo "options nouveau modeset=0" >> /etc/modprobe.d/blacklist-nouveau.conf
#RUN add-apt-repository ppa:graphics-drivers
RUN apt-get update
RUN apt install nvidia-driver-390 -y
# Install Python specific packages
RUN pip3 install --upgrade setuptools pip wheel
RUN pip3 install absl-py==0.9.0 \
astor==0.8.1 \
attrdict==2.0.1 \
audioread==2.1.8 \
cffi==1.13.2 \
cycler==0.10.0 \
Cython==0.29.14 \
decorator==4.4.1 \
deepspeech==0.4.1 \
gast==0.3.3 \
grpcio==1.26.0 \
h5py==2.10.0 \
joblib==0.14.1 \
Keras-Applications==1.0.8 \
Keras-Preprocessing==1.1.0 \
kiwisolver==1.1.0 \
librosa==0.7.2 \
llvmlite==0.31.0 \
Markdown==3.1.1 \
matplotlib==3.1.2 \
numba==0.47.0 \
numexpr==2.7.1 \
numpy==1.18.1 \
pandas==0.25.3 \
progressbar==2.5 \
protobuf==3.11.2 \
pycparser==2.19 \
pydub==0.23.1 \
pyparsing==2.4.6 \
python-dateutil==2.8.1 \
python-Levenshtein==0.12.0 \
python-speech-features==0.6 \
pytz==2019.3 \
resampy==0.2.2 \
scikit-learn==0.22.1 \
scipy==1.4.1 \
six==1.14.0 \
SoundFile==0.10.3.post1 \
tables==3.6.1 \
tensorboard==1.12 \
tensorflow-gpu==1.12.0 \
Werkzeug==0.16.0
## Install Cuda
RUN wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda_9.0.176_384.81_linux-run RUN chmod +x cuda_9.0.176_384.81_linux.run
RUN ./cuda_9.0.176_384.81_linux.run
#RUN rm cuda_9.0.176_384.81_linux.run
## Install cudnn
RUN wget https://www.dropbox.com/s/o0ffjf1j0bftrq9/cudnn-9.2-linux-x64-v7.2.1.38.tgz?dl=1 -O cudnn-9.2-linux-x64-v7.2.1.38.tgz
RUN tar -xzvf cudnn-9.2-linux-x64-v7.2.1.38.tgz
RUN cp -P cuda/include/cudnn.h /usr/local/cuda-9.0/include
RUN cp -P cuda/lib64/libcudnn* /usr/local/cuda-9.0/lib64/
RUN chmod a+r /usr/local/cuda-9.0/lib64/libcudnn*
RUN export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64/
RUN export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64/
ENTRYPOINT /bin/bash