ML computers setup

Setting up ML computers:

• Linux distribution installed: Ubuntu 16.04

Partition made for machine learning:MachineLearning

• In Windows: Disk Management -> Resize DataStorage
• Create new ext4 patition

Mounting the partition automatically:

Get the UUID of the learning:MachineLearning partition

• sudo blkid

Add partition to fstab:

• sudo nano /etc/fstab
• Add at the bottom these two lines:
• UUID=(id of the MachineLearning partition) /media/MachineLearning rw,suid,dev,auto,user,async,exec 0 2
• UUID=(id of the DataStorage partition) /media/DataStorage ntfs-3g defaults=en_US.UTF-8 0 0

• The parameters mounting the MachineLearning partition solved this problem running caffe from that partition:
• https://github.com/rbgirshick/py-faster-rcnn/issues/162
• https://askubuntu.com/questions/678857/fstab-doesnt-mount-with-exec

Give writing permissions to new MachineLearning partition

• sudo chmod -R a+rwx /media/MachineLearning/

• Need extra space? Extending the partition

https://askubuntu.com/questions/492054/how-to-extend-my-root-partition

Installing NVIDIA Driver:

• Set Ubuntu to boot on console mode. Type:
• sudo apt-get install systemd
• sudo systemctl set-default multi-user.target
• sudo reboot now
• Login and in console mode, type:
• sudo add-apt-repository ppa:graphics-drivers/ppa
• sudo apt update
• sudo apt upgrade
• For GeForce 1070Ti (07/2018), type:
• sudo apt-get install nvidia-390
• Re-set Ubuntu to boot on graphical mode. Type:
• sudo systemctl set-default graphical.target
• sudo reboot now

Checking if Nvidia Driver is properly installed. Type:

• nvidia-smi
• nvidia-settings

Other options:

NTFS fstab wizard:

• sudo apt-get install ntfs-config
• sudo ntfs-config

Format large capacity HD with fs ExFat for having access to it from Ubuntu:

• On Windows 10
• cmd
• diskpart
• select disk '#' (where # is the number of the target drive)
• list part
• select part # (where # is the number of the partition)
• format fs=exfat QUICK