hohl

/*
 *
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 *         ██╔══██╗██║     ██║    ██║██╔══██╗╚██╗ ██╔╝██╔════╝██╔═══██╗████╗  ██║██╗██╗██║██╔══██╗██╔════╝
 *         ███████║██║     ██║ █╗ ██║███████║ ╚████╔╝ ███████╗██║   ██║██╔██╗ ██║╚═╝╚═╝██║██████╔╝██║
 *         ██╔══██║██║     ██║███╗██║██╔══██║  ╚██╔╝  ╚════██║██║   ██║██║╚██╗██║██╗██╗██║██╔══██╗██║
 *         ██║  ██║███████╗╚███╔███╔╝██║  ██║   ██║   ███████║╚██████╔╝██║ ╚████║╚═╝╚═╝██║██║  ██║╚██████╗
 *         ╚═╝  ╚═╝╚══════╝ ╚══╝╚══╝ ╚═╝  ╚═╝   ╚═╝   ╚══════╝ ╚═════╝ ╚═╝  ╚═══╝      ╚═╝╚═╝  ╚═╝ ╚═════╝
 *
 *

hohl

#!/bin/bash
# Purpose: Dumps a PostgreSQL database and uploads it via SFTP to another host.
# Author: Michael Hohl <me@michaelhohl.net>
# -----------------------------------------------------------------------------

display_usage() {
    echo "Usage: $0 <dbname> <user@stfp-target>"
}

if [ $# -ne 2 ]; then

hohl

// ...

lazy val prefix: Parser[Prefix] =
  (host | nick) ~ opt('!' ~> user) ~ opt('@' ~> host) ^^ {
    case t ~ u ~ s => Prefix(t, u, s)
  }
  
lazy val host = """[a-zA-Z0-9.:\-^_\-\[\]\\/`]+""".r
lazy val nick = """(\p{L}|[0-9]|[-_\[\]\\`^\{\}\|])+""".r
lazy val user = """[^(\s|@)]+""".r

hohl

import Core

/**
    Defines the basic ability of a job queue to dispatch jobs on a queue.

    ThreadQueue is designed as protocol to support further implementations like a ConcurrentQueue.
*/
public protocol ThreadQueue {
    func dispatch(_ function: @escaping () -> Void)
}

hohl

sudo dpkg -i </path/to/cudnn-runtime.deb>
sudo dpkg -i </path/to/cudnn-developer.deb>
# replace the parts between < and > with your real file paths

hohl

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
sudo apt-get update

hohl

sudo apt-get install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
# Press [ENTER]
sudo apt-get install python3.7 python3.7-{dev,venv,distutils}

# Then create a virtual environment, for ex.:
mkdir ~/venvs && cd ~/venvs
python3.7 -m venv tf21
source tf21/bin/activate

hohl

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install -y nvidia-driver-435

hohl

# According to the official "Build from source" steps:
# https://www.tensorflow.org/install/source
pip install -U 'future>=0.17.1'
pip install -U keras_applications --no-deps
pip install -U keras_preprocessing --no-deps
# My own additions
pip install -U numpy six wheel pip

# Download the TensorFlow 2.1 source:
curl -LO https://github.com/tensorflow/tensorflow/archive/v2.1.0.tar.gz

hohl

# Add NVIDIA package repositories
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.1.243-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1804_10.1.243-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update

# Install NVIDIA driver