sozercan

version = 2
root = "/var/lib/containerd"
state = "/run/containerd"
plugin_dir = ""
disabled_plugins = []
required_plugins = []
oom_score = 0

[grpc]
  address = "/run/containerd/containerd.sock"

philwo

This is how I managed to build TensorFlow 2.0 on Ubuntu 18.04 (x86_64) with Bazelisk:

$ sudo apt update
$ sudo apt full-upgrade
$ sudo apt install curl

# Install Bazelisk.
$ sudo curl -Lo /usr/local/bin/bazel https://github.com/bazelbuild/bazelisk/releases/download/v1.1.0/bazelisk-linux-amd64
$ sudo chmod +x /usr/local/bin/bazel

blanchonvincent

package main

import (
	"fmt"
	"go/scanner"
	"go/token"
	"io/ioutil"
)

func main() {

gesellix

screen ~/Library/Containers/com.docker.docker/Data/com.docker.driver.amd64-linux/tty



screen -AmdS docker ~/Library/Containers/com.docker.docker/Data/com.docker.driver.amd64-linux/tty
screen -r docker
# enter, then disconnect with Ctrl-a d
screen -S docker -p 0 -X stuff $(printf root\\r\\n)
screen -r docker

jeromerobert

#! /usr/bin/env python
"""
Pandoc filter to convert svg files to pdf as suggested at:
https://github.com/jgm/pandoc/issues/265#issuecomment-27317316
"""

__author__ = "Jerome Robert"

import mimetypes
import subprocess