mrzor

  // DEBUG : Setup redirection tracing
  // See https://chromedevtools.github.io/devtools-protocol/tot/Network#event-requestWillBeSent
  const onHttpRequest = (params) => {
    const {documentURL, requestId, redirectResponse} = params
    const hasRedirectResponse = redirectResponse ? "Has RR" : "No RR"
    console.log(`DEBUG: requestWillBeSent | ${requestId} | ` +
                `${documentURL} | ${hasRedirectResponse}`)

    if (redirectResponse) {
      const {status, protocol, timing, headersText} = redirectResponse

f0k

#!/bin/bash
# Sets each CUDA device to persistence mode and sets the application clock
# and power limit to the device's maximum supported values.
# When run with "--dry-run" as first command line argument or not as superuser,
# will display the commands, otherwise it will execute them.
#
# Hint: To run this at boot time, place this script in /root and create a file
# /etc/cron.d/nvidia_boost with the following single line:
# @reboot root /root/nvidia_boost.sh >/dev/null
#

jakewarren

Restrict the amount of CPU and memory resources that Chrome can consume.

Tested on Ubuntu 16.04/Linux Mint 18.

---

Install cgroups:

sudo apt install cgroup-bin

zhanwenchen

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install CUDA
• Install cuDNN

Table of contents generated with markdown-toc

detunized

# On the host to run the container
docker run --privileged -i -t -v ~/host-folder-to-mount:/root/folder-ro:ro ubuntu

# Inside the container
# Need to create the upper and work dirs inside a tmpfs.
# Otherwise OverlayFS complains about AUFS folders. 
mkdir -p /tmp/overlay && \
mount -t tmpfs tmpfs /tmp/overlay && \
mkdir -p /tmp/overlay/{upper,work} && \
mkdir -p /root/folder && \

shyd

FROM php:5-apache

RUN apt-get update && \
    apt-get install -y \
        libc-client-dev libkrb5-dev && \
    rm -r /var/lib/apt/lists/*
    
RUN docker-php-ext-configure imap --with-kerberos --with-imap-ssl && \
    docker-php-ext-install -j$(nproc) imap

sh41

git clone [email protected]:docker-library/php.git docker-library-php
## Go to the specific version you're interested in 
cd docker-library-php/7.1/fpm/alpine

## Edit the .Dockerfile. 
## Change
## ENV PHP_EXTRA_CONFIGURE_ARGS --enable-fpm --with-fpm-user=www-data --with-fpm-group=www-data
## to 
## ENV PHP_EXTRA_CONFIGURE_ARGS --enable-fpm --with-fpm-user=www-data --with-fpm-group=www-data --enable-debug
## Comment out or delete:

ipedrazas

kubectl get pods | grep Evicted | awk '{print $1}' | xargs kubectl delete pod

mihow

# The initial version
if [ ! -f .env ]
then
  export $(cat .env | xargs)
fi

# My favorite from the comments. Thanks @richarddewit & others!
set -a && source .env && set +a

alexlee-gk

This was tested on a ThinkPad P70 laptop with an Intel integrated graphics and an NVIDIA GPU:

lspci | egrep 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation Device 191b (rev 06)
01:00.0 VGA compatible controller: NVIDIA Corporation GM204GLM [Quadro M3000M] (rev a1)

A reason to use the integrated graphics for display is if installing the NVIDIA drivers causes the display to stop working properly. In my case, Ubuntu would get stuck in a login loop after installing the NVIDIA drivers. This happened regardless if I installed the drivers from the "Additional Drivers" tab in "System Settings" or the ppa:graphics-drivers/ppa in the command-line.