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#!/bin/bash | |
# install CUDA Toolkit v9.0 | |
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb) | |
CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb" | |
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG} | |
sudo dpkg -i ${CUDA_REPO_PKG} | |
sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub | |
sudo apt-get update | |
sudo apt-get -y install cuda-9-0 |
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""" | |
Example TensorFlow script for finetuning a VGG model on your own data. | |
Uses tf.contrib.data module which is in release v1.2 | |
Based on PyTorch example from Justin Johnson | |
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
Required packages: tensorflow (v1.2) | |
Download the weights trained on ImageNet for VGG: | |
``` | |
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |
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# Instructions for 4.14 and cuda 9.1 | |
# If upgrading from 4.13 and cuda 9.0 | |
$ sudo apt-get purge --auto-remove libcud* | |
$ sudo apt-get purge --auto-remove cuda* | |
$ sudo apt-get purge --auto-remove nvidia* | |
# also remove the container directory direcotory at /usr/local/cuda-9.0/ | |
# Important libs required with 4.14.x with Cuda 9.X | |
$ sudo apt install libelf1 libelf-dev |