Installing pre-built tensor flow with GPU support

Key:

pip3 install tensorflow_gpu

• https://askubuntu.com/questions/1028830/how-do-i-install-cuda-on-ubuntu-18-04

The relevant instructions from above are:

sudo add-apt-repository ppa:graphics-drivers/ppa

sudo apt update

sudo ubuntu-drivers autoinstall

sudo reboot

sudo apt install nvidia-cuda-toolkit

sudo apt-get -f intall cuda-9-2

The above commands lead to a runtime error:

import tensorflow as tf

which gives:

ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.5/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

Solution:

sudo apt-get -f install cuda-9-0

That led to missing:

ImportError: libcudnn.so.7: cannot open shared object file: No such file or directory

Solution: register with NVIDIA and download .deb pacakges for CUDA 9.0. I got both dev and runtime.

• https://www.tensorflow.org/guide/using_gpu

This link has code for how to test if GPU is working:

import tensorflow as tf
# Creates a graph.
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
# Creates a session with log_device_placement set to True.
sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
# Runs the op.
print(sess.run(c))

Installing from source

not working yet The configure step is failing b/c I am missing a library

Following recipe from here:

Install bazel:

sudo apt-get -f install openjdk-8-jdk
echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
sudo apt-get update
sudo apt-get -f install bazel

git clone https://github.com/tensorflow/tensorflow
cd tensorflow
# Check out latest release
git checkout r1.10
wget https://github.com/bazelbuild/bazel/releases/download/0.16.1/bazel-0.16.1-installer-darwin-x86_64.sh
chmod +x bazel-0.16.1-installer-darwin-x86_64.sh 
sudo ./bazel-0.16.1-installer-darwin-x86_64.sh