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TRI-ML / packnet-sfm

TRI-ML Monocular Depth Estimation Repository
https://tri-ml.github.io/packnet-sfm/
MIT License
1.21k stars 241 forks source link

Cannot `make docker-build` #237

Closed JinraeKim closed 1 year ago

JinraeKim commented 1 year ago

I tried to follow the installation guide using docker but I failed with the error msg.

➜  packnet-sfm git:(master) ✗ make docker-build

docker build \
        -f docker/Dockerfile \
        -t packnet-sfm:latest .
Got permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Post "http://%2Fvar%2Frun%2Fdocker.sock/v1.24/build?buildargs=%7B%7D&cachefrom=%5B%5D&cgroupparent=&cpuperiod=0&cpuquota=0&cpusetcpus=&cpusetmems=&cpushares=0&dockerfile=docker%2FDockerfile&labels=%7B%7D&memory=0&memswap=0&networkmode=default&rm=1&shmsize=0&t=packnet-sfm%3Alatest&target=&ulimits=null&version=1": dial unix /var/run/docker.sock: connect: permission denied
Makefile:65: recipe for target 'docker-build' failed
make: *** [docker-build] Error 1
➜  packnet-sfm git:(master) ✗ sudo make docker-build

docker build \
        -f docker/Dockerfile \
        -t packnet-sfm:latest .
Sending build context to Docker daemon  566.8MB
Step 1/53 : FROM nvidia/cuda:10.2-devel-ubuntu18.04
 ---> 845c5a574a7f
Step 2/53 : ENV PROJECT=packnet-sfm
 ---> Using cache
 ---> bd6865ce8d50
Step 3/53 : ENV PYTORCH_VERSION=1.8.1
 ---> Using cache
 ---> e86d74f2bb42
Step 4/53 : ENV TORCHVISION_VERSION=0.9.1
 ---> Using cache
 ---> 968a84d8e002
Step 5/53 : ENV CUDNN_VERSION=7.6.5.32-1+cuda10.2
 ---> Using cache
 ---> ed0b229dce9a
Step 6/53 : ENV NCCL_VERSION=2.7.8-1+cuda10.2
 ---> Using cache
 ---> 0069ce569ef0
Step 7/53 : ENV HOROVOD_VERSION=65de4c961d1e5ad2828f2f6c4329072834f27661
 ---> Using cache
 ---> a4777e4e3be7
Step 8/53 : ENV TRT_VERSION=6.0.1.5
 ---> Using cache
 ---> c1d02cc5d61d
Step 9/53 : ENV LC_ALL=C.UTF-8
 ---> Using cache
 ---> 84aef5e7fde9
Step 10/53 : ENV LANG=C.UTF-8
 ---> Using cache
 ---> 330fdc579c49
Step 11/53 : ARG python=3.6
 ---> Using cache
 ---> baf016ec94c5
Step 12/53 : ENV PYTHON_VERSION=${python}
 ---> Using cache
 ---> 3b8d43f29bfb
Step 13/53 : ENV DEBIAN_FRONTEND=noninteractive
 ---> Using cache
 ---> 2beeae2878d7
Step 14/53 : SHELL ["/bin/bash", "-cu"]
 ---> Using cache
 ---> 86b1b038c12f
Step 15/53 : RUN apt-get update && apt-get install -y --allow-downgrades --allow-change-held-packages --no-install-recommends     build-essential     cmake     g++-4.8     git     curl     docker.io     vim     wget     ca-certificates     libcudnn7=${CUDNN_VERSION}     libnccl2=${NCCL_VERSION}     libnccl-dev=${NCCL_VERSION}     libjpeg-dev     libpng-dev     python${PYTHON_VERSION}     python${PYTHON_VERSION}-dev     python3-tk     librdmacm1     libibverbs1     ibverbs-providers     libgtk2.0-dev     unzip     bzip2     htop     gnuplot     ffmpeg
 ---> Running in 6af525ce97ba
Get:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease [1581 B]
Get:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages [903 kB]
Get:3 http://archive.ubuntu.com/ubuntu bionic InRelease [242 kB]
Get:4 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]
Get:5 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]
Get:6 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]
Get:7 http://archive.ubuntu.com/ubuntu bionic/main amd64 Packages [1344 kB]
Get:8 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1533 kB]
Get:9 http://archive.ubuntu.com/ubuntu bionic/restricted amd64 Packages [13.5 kB]
Get:10 http://archive.ubuntu.com/ubuntu bionic/universe amd64 Packages [11.3 MB]
Get:11 http://archive.ubuntu.com/ubuntu bionic/multiverse amd64 Packages [186 kB]
Get:12 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [3369 kB]
Get:13 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [1100 kB]
Get:14 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [2937 kB]
Get:15 http://archive.ubuntu.com/ubuntu bionic-updates/multiverse amd64 Packages [29.9 kB]
Get:16 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [1141 kB]
Get:17 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2310 kB]
Get:18 http://security.ubuntu.com/ubuntu bionic-security/multiverse amd64 Packages [22.8 kB]
Get:19 http://archive.ubuntu.com/ubuntu bionic-backports/main amd64 Packages [12.2 kB]
Get:20 http://archive.ubuntu.com/ubuntu bionic-backports/universe amd64 Packages [12.9 kB]
Fetched 26.7 MB in 3s (8292 kB/s)
Reading package lists...
Reading package lists...
Building dependency tree...
Reading state information...
E: Unable to locate package libcudnn7
E: Version '2.7.8-1+cuda10.2' for 'libnccl2' was not found
E: Version '2.7.8-1+cuda10.2' for 'libnccl-dev' was not found
The command '/bin/bash -cu apt-get update && apt-get install -y --allow-downgrades --allow-change-held-packages --no-install-recommends     build-essential     cmake     g++-4.8     git     curl     docker.io     vim     wget     ca-certificates     libcudnn7=${CUDNN_VERSION}     libnccl2=${NCCL_VERSION}     libnccl-dev=${NCCL_VERSION}     libjpeg-dev     libpng-dev     python${PYTHON_VERSION}     python${PYTHON_VERSION}-dev     python3-tk     librdmacm1     libibverbs1     ibverbs-providers     libgtk2.0-dev     unzip     bzip2     htop     gnuplot     ffmpeg' returned a non-zero code: 100
Makefile:65: recipe for target 'docker-build' failed
make: *** [docker-build] Error 100
JinraeKim commented 1 year ago

I followed the instruction of vidar and it worked

tiassap commented 1 year ago

Hi @JinraeKim , what specifically did you do following vidar?

I think you cloned vidar and its submodule (this packnet?). Thanks for the info.