dte

#!/bin/bash
# 1. Install CUDA
echo "Installing CUDA..."
# Only install if CUDA is not already installed.
if ! dpkg-query -W cuda; then
  # The 16.04 installer works with 16.10.
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
  apt-get update
  apt-get install cuda -y

dte

from tensorflow.python.client import device_lib

def get_available_gpus():
    local_device_protos = device_lib.list_local_devices()
    return [x.name for x in local_device_protos if x.device_type == 'GPU']

get_available_gpus()

dte

Keybase proof

I hereby claim:

• I am dte on github.
• I am dte (https://keybase.io/dte) on keybase.
• I have a public key ASBUHk4r10yK56bUqf0cZ9iYkVdIqehPtxMHsTcvtYp4awo

To claim this, I am signing this object:

dte

import requests
import re
import json
import os
import sys

UA = 'Midjourney-history-sync/1.0'

USER_ID = '###' 

dte

#!/bin/bash

has_apt="$(which apt)"

if [ "$has_apt" = "" ]; then
  echo "Cannot install on CentOS"
  exit 1
fi

sudo apt update