Error With libcusolver.so.8.0

Part 1 (2018)
1

When trying to import Keras, I get the following errors:

ImportError: Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/opt/conda/lib/python3.6/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/opt/conda/lib/python3.6/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: libcusolver.so.8.0: cannot open shared object file: No such file or directory

Has anyone else seen this or experienced this? I’ve installed this on Ubuntu 16.04 using Cuda 9.0 and CudaNN 7.0

2

Can you do sudo find /usr/local/ -n libcusolver.so.8.0 ? Add the successful search path to LD_LIBRARY_PATH and then try again.

3

I saw this error myself but I don’t remember exactly what was the issue. Did you install tensorflow via conda?

This is part of the installation that I am running now and I am no longer seeing the issue:

# install cudnn libraries
wget "http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7_7.0.3.11-1+cuda9.0_amd64.deb"
sudo dpkg -i libcudnn7_7.0.3.11-1+cuda9.0_amd64.deb

# install tensorflow
conda install tensorflow

# install and configure keras
pip install git+git://github.com/fchollet/keras.git
mkdir ~/.keras
echo '{
    "image_dim_ordering": "tf",
    "epsilon": 1e-07,
    "floatx": "float32",
    "backend": "tensorflow"
}' > ~/.keras/keras.json
4

I figured it out. I’m using Nvidia Docker. What was tripping me up is that I needed to use Cuda 8.0 with CudaNN v6.0

Here is my DockerFile:

FROM nvidia/cuda:8.0-cudnn6-devel-ubuntu16.04
MAINTAINER Hamel Husain <hamelsmu@github.com>

# Add this to the path for TensorFlow
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH

# Add External Dependencies for TensorFlow and DS
RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential \
        byobu \
        curl \
        htop \
        libcupti-dev \
        libfreetype6-dev \
        libpng12-dev \
        libzmq3-dev \
        pkg-config \
        python3-pip \
        python3-dev \
        python-virtualenv \
        rsync \
        software-properties-common \
        unzip \
        wget \
        git-core \
        && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

#################### Install Anaconda
# Why Anaconda?  Its recommended Package Manager For PyTorch
# The following section is from https://hub.docker.com/r/continuumio/anaconda3/~/dockerfile/
# You may have to check this periodically and update

ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates \
    libglib2.0-0 libxext6 libsm6 libxrender1 \
    git mercurial subversion

RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh && \
    wget --quiet https://repo.continuum.io/archive/Anaconda3-5.0.0.1-Linux-x86_64.sh -O ~/anaconda.sh && \
    /bin/bash ~/anaconda.sh -b -p /opt/conda && \
    rm ~/anaconda.sh

RUN apt-get install -y curl grep sed dpkg && \
    TINI_VERSION=`curl https://github.com/krallin/tini/releases/latest | grep -o "/v.*\"" | sed 's:^..\(.*\).$:\1:'` && \
    curl -L "https://github.com/krallin/tini/releases/download/v${TINI_VERSION}/tini_${TINI_VERSION}.deb" > tini.deb && \
    dpkg -i tini.deb && \
    rm tini.deb && \
    apt-get clean

ENV PATH /opt/conda/bin:$PATH
##################

# Install TensorFlow GPU Support
RUN pip --no-cache-dir install --upgrade \
        https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp36-cp36m-linux_x86_64.whl \
        keras \
        Pillow \
        h5py \
        bcolz \
        altair \
        dask

# Install Pytorch Instructions at http://pytorch.org/
RUN conda install -y pytorch torchvision cuda80 -c soumith

# Open Ports for TensorBoard, Jupyter, and SSH
EXPOSE 6006
EXPOSE 8888
EXPOSE 22

# Run the shell
CMD ["/bin/bash"]
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