This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
This is a summary of the process I lived in order to enable my system with CUDA9.2, cuDNN7.2.1, Tensorflow1.8 and NVIDIA GEFORCE GTX860M GPU. You can just skip the steps marked with FAILED. I decided to keep them there in order to be useful for others who tried those paths too.
FAILED (Next section is successfull) Install NVIDIA driver (FAILED, THIS WILL INSTALL DRIVER 390 which is not compatible with CUDA9.2):ubuntu-drivers devices
The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.
I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).
So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht
| # Mathieu Blondel, February 2012 | |
| # License: BSD 3 clause | |
| # Port to Python of examples in chapter 5 of | |
| # "Introductory Statistics with R" by Peter Dalgaard | |
| import numpy as np | |
| from scipy.stats import ttest_1samp, wilcoxon, ttest_ind, mannwhitneyu | |
| # daily intake of energy in kJ for 11 women |
| """Genetic Algorithmn Implementation | |
| see: | |
| http://www.obitko.com/tutorials/genetic-algorithms/ga-basic-description.php | |
| """ | |
| import random | |
| class GeneticAlgorithm(object): | |
| def __init__(self, genetics): | |
| self.genetics = genetics | |
| pass |