0
votes

I am currently having some problems installing tensor flow with gpu support.

This is the guide i've followed.

  • Install NVIDIA CUDA (preinstalled)
  • Install NVIDIA cuDNN (preinstalled)
  • Install bazel

    wget https://github.com/bazelbuild/bazel/releases/download/0.4.3/bazel-0.4.3-installer-linux-x86_64.sh      
    chmod +x bazel-0.4.3-installer-linux-x86_64.sh
    ./bazel-0.4.3-installer-linux-x86_64.sh --user
    
  • install tensor flow from source

    git clone https://github.com/tensorflow/tensorflow

    cd tensorflow/

    ./configure

    bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

the last one don't finish.. or it does.. it comes up with an error message

a@fe1:~/tensorflow$ bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_package

.
WARNING: Sandboxed execution is not supported on your system and thus hermeticity of actions cannot be guaranteed. See http://bazel.build/docs/bazel-user-manual.html#sandboxing for more information. You can turn off this warning via --ignore_unsupported_sandboxing.

Server finished RPC without an explicit exit code

after this should i be able to do this

bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tenso
rflow_pkg

according to the guide, but is not possible.

i've previously had tensor flow cpu version running, but since the need of gpu were sincerely pressing i decided to install it... but didn't think it would be this troublesome..

any idea on why it is not possible to build it?

os:centOS 7.1 gpu:nvidea

1

1 Answers

0
votes

I've had problems attemping to install Tensorflow from source using Bazel as well.It could be that the current bazel build has problems,since that occured in the past with me.It would help if you provided us with information about your system(OS & GPU),but you're probably better off using pip(or pip3) and doing sudo pip(3) install tensorflow-gpu.