| I'm not sure what Tensorflow source you're compiling, but I've been trying many times recently and it fails in many, many different ways. It's a neverending maze of fail, basically. I've never seen the end of it yet. It failed today, too, so the code base is not getting better. I'm using Ubuntu 16.04, CUDA 8.0RC + the gcc patch, cuDNN 5.1, nvidia-driver-[367|370], tensorflow-master, python-2.7. My process is basically identical to yours. A few issues are listed here: https://github.com/tensorflow/tensorflow/issues/2559#issueco... In some cases, Bazel seems to be the culprit. In other cases, it's Tensorflow itself. I've also seen a "gcc: internal compiler error" https://github.com/tensorflow/tensorflow/issues/4214 Some issues with your howto: There's a chapter title "Install Nvidia Toolkit 7.5 & CudNN" but the instructions below use 8.0RC ``` Configure TensorFlow Installation $ cd ~/tensorflow
$ ./configure
Use defaults by pressing enter for all except: Please specify the location of python. [Default is /usr/bin/python]: ``` No. If you do that it won't compile with GPU support. You have to hit Enter on every question except these ones: - Do you wish to build TensorFlow with GPU support? (answer: y) - Please specify a list of comma-separated Cuda compute capabilities you want to build with. (answer: 6.1, or less for older GPUs) - Please specify the Cuda SDK version you want to use, e.g. 7.0. [Leave empty to use system default]: (answer 8.0) You don't have to specify the cuDNN version, apparently it can detect the version automatically. It's only the CUDA version detection that fails. https://github.com/tensorflow/tensorflow/issues/3985 "You must also have the 361.42 NVidia drivers installed" No, that would not work with Pascal GPUs. The only way I've seen it work is if you install CUDA 7.5 and cuDNN 4, and install Tensorflow from the binary package. But then you get weird errors if you run complex models on Pascal GPUs, because CUDA 7.5 doesn't work well with Pascal. Seriously, if you made it work on Ubuntu 16.04 with CUDA 8 and it's GPU enabled, please upload the pip package somewhere. I'd love to give it a try. |