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floydhub / dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
https://www.floydhub.com
3.86k stars 818 forks source link

nvidia-docker not found #20

Closed mandarup closed 8 years ago

mandarup commented 8 years ago

on linux ubuntu (linux-mint) gpu build

 sudo docker build -t floydhub/dl-docker:gpu -f Dockerfile.gpu .

build is successful

sudo docker build -t floydhub/dl-docker:gpu -f Dockerfile.gpu . 
Sending build context to Docker daemon 282.6 kB
Step 1 : FROM nvidia/cuda:7.5-cudnn4-devel
---> 86ef0e729cda
Step 2 : MAINTAINER Sai Soundararaj <saip@outlook.com>
---> Using cache
---> 8cea41f5b411
Step 3 : ARG THEANO_VERSION=rel-0.8.2
---> Using cache
---> ea66ac71b25d
Step 4 : ARG TENSORFLOW_VERSION=0.8.0
---> Using cache
---> d43f4d0c328e
Step 5 : ARG TENSORFLOW_ARCH=gpu
---> Using cache
---> 5ff4178a7248
Step 6 : ARG KERAS_VERSION=1.0.3
---> Using cache
---> b53b8aa6d4b0
Step 7 : ARG LASAGNE_VERSION=v0.1
---> Using cache
---> 424f495fb439
Step 8 : ARG TORCH_VERSION=latest
---> Using cache
---> 9c2b8d50476a
Step 9 : ARG CAFFE_VERSION=master
---> Using cache
---> 07c51d845d4d
Step 10 : RUN apt-get update && apt-get install -y      bc      build-essential         cmake       curl        g++         gfortran        git         libffi-dev      libfreetype6-dev    libhdf5-dev         libjpeg-dev         liblcms2-dev        libopenblas-dev         liblapack-dev       libopenjpeg2        libpng12-dev        libssl-dev      libtiff5-dev        libwebp-dev     libzmq3-dev         nano        pkg-config      python-dev  software-properties-common      unzip       vim         wget    zlib1g-dev      &&  apt-get clean &&    apt-get autoremove &&   rm -rf /var/lib/apt/lists/* &&  update-alternatives --set libblas.so.3 /usr/lib/openblas-base/libblas.so.3
---> Using cache
---> f0cf4251dbea
Step 11 : RUN curl -O https://bootstrap.pypa.io/get-pip.py &&   python get-pip.py &&    rm get-pip.py
---> Using cache
---> 54c1f116330c
Step 12 : RUN pip --no-cache-dir install        pyopenssl       ndg-httpsclient         pyasn1
---> Using cache
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Step 13 : RUN apt-get update && apt-get install -y      python-numpy    python-scipy        python-nose         python-h5py         python-skimage      python-matplotlib       python-pandas       python-sklearn      python-sympy        &&  apt-get clean &&    apt-get autoremove &&   rm -rf /var/lib/apt/lists/*
---> Using cache
---> 2c2b85d277ba
Step 14 : RUN pip --no-cache-dir install --upgrade ipython &&   pip --no-cache-dir install      Cython      ipykernel       jupyter     path.py         Pillow      pygments        six         sphinx wheel        zmq         &&  python -m ipykernel.kernelspec
---> Using cache
---> 398087ae431b
Step 15 : RUN pip --no-cache-dir install    https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_ARCH}/tensorflow-${TENSORFLOW_VERSION}-cp27-none-linux_x86_64.whl
---> Using cache
---> a17e2ed331e2
Step 16 : RUN apt-get update && apt-get install -y      libboost-all-dev        libgflags-dev       libgoogle-glog-dev      libhdf5-serial-dev      libleveldb-dev      liblmdb-dev         libopencv-dev       libprotobuf-dev         libsnappy-dev       protobuf-compiler       &&  apt-get clean &&    apt-get autoremove &&   rm -rf /var/lib/apt/lists/*
---> Using cache
---> dfc383b9d30d
Step 17 : RUN git clone -b ${CAFFE_VERSION} --depth 1 https://github.com/BVLC/caffe.git /root/caffe &&  cd /root/caffe &&   cat python/requirements.txt | xargs -n1 pip install &&  mkdir build && cd build &&  cmake -DUSE_CUDNN=1 -DBLAS=Open .. &&   make -j"$(nproc)" all &&    make install
---> Using cache
---> 2026f5066caf
Step 18 : ENV CAFFE_ROOT /root/caffe
---> Using cache
---> 31e437fc98c6
Step 19 : ENV PYCAFFE_ROOT $CAFFE_ROOT/python
---> Using cache
---> d248d88f107f
Step 20 : ENV PYTHONPATH $PYCAFFE_ROOT:$PYTHONPATH PATH $CAFFE_ROOT/build/tools:$PYCAFFE_ROOT:$PATH
---> Using cache
---> e8fdd3d738d0
Step 21 : RUN echo "$CAFFE_ROOT/build/lib" >> /etc/ld.so.conf.d/caffe.conf && ldconfig
---> Using cache
---> 6079662e13a0
Step 22 : RUN pip --no-cache-dir install git+git://github.com/Theano/Theano.git@${THEANO_VERSION} &&        echo "[global]\ndevice=gpu\nfloatX=float32\noptimizer_including=cudnn\nmode=FAST_RUN        \n[lib]\ncnmem=0.95         \n[nvcc]\nfastmath=True         \n[blas]\nldflag = -L/usr/lib/openblas-base -lopenblas      \n[DebugMode]\ncheck_finite=1"  > /root/.theanorc
---> Using cache
---> aafc9ad664fe
Step 23 : RUN pip --no-cache-dir install git+git://github.com/fchollet/keras.git@${KERAS_VERSION}
---> Using cache
---> 9acafd663408
Step 24 : RUN pip --no-cache-dir install git+git://github.com/Lasagne/Lasagne.git@${LASAGNE_VERSION}
---> Using cache
---> 05df28c4f892
Step 25 : RUN git clone https://github.com/torch/distro.git /root/torch --recursive &&  cd /root/torch &&   bash install-deps &&    yes no | ./install.sh
---> Using cache
---> 69629e30f2b7
Step 26 : ENV LUA_PATH '/root/.luarocks/share/lua/5.1/?.lua;/root/.luarocks/share/lua/5.1/?/init.lua;/root/torch/install/share/lua/5.1/?.lua;/root/torch/install/share/lua/5.1/?/init.lua;./?.lua;/root/torch/install/share/luajit-2.1.0-beta1/?.lua;/usr/local/share/lua/5.1/?.lua;/usr/local/share/lua/5.1/?/init.lua' LUA_CPATH '/root/.luarocks/lib/lua/5.1/?.so;/root/torch/install/lib/lua/5.1/?.so;./?.so;/usr/local/lib/lua/5.1/?.so;/usr/local/lib/lua/5.1/loadall.so' PATH /root/torch/install/bin:$PATH LD_LIBRARY_PATH /root/torch/install/lib:$LD_LIBRARY_PATH DYLD_LIBRARY_PATH /root/torch/install/lib:$DYLD_LIBRARY_PATH
---> Using cache
---> 69ccd7e2486d
Step 27 : ENV LUA_CPATH '/root/torch/install/lib/?.so;'$LUA_CPATH
---> Using cache
---> a260921b541f
Step 28 : RUN luarocks install nn &&    luarocks install cutorch &&     luarocks install cunn &&        cd /root && git clone https://github.com/soumith/cudnn.torch.git && cd cudnn.torch &&   git checkout R4 &&  luarocks make &&        cd /root && git clone https://github.com/facebook/iTorch.git && cd iTorch &&    luarocks make
---> Using cache
---> 1284e34add77
Step 29 : COPY jupyter_notebook_config.py /root/.jupyter/
---> Using cache
---> 4f392face607
Step 30 : COPY run_jupyter.sh /root/
---> Using cache
---> 9c1e4a5a9fb0
Step 31 : EXPOSE 6006 8888
---> Using cache
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Step 32 : WORKDIR "/root"
---> Using cache
---> 78bae8af2123
Step 33 : CMD /bin/bash
---> Using cache
---> df3aa65f748a
Successfully built df3aa65f748a

but trying to start

sudo nvidia-docker run -it -p 8888:8888 -p 6006:6006 -v /sharedfolder:/root/sharedfolder floydhub/dl-docker:gpu bash

gives following error

nvidia-docker: command not found

cpu version works

mandarup commented 8 years ago

it was nvidia-docker installation issue