Keith-Hon

  Alert.alert(
  'Alert Title',
  'My Alert Msg',
  [
    {text: 'Ask me later', onPress: () => console.log('Ask me later pressed')},
    {text: 'Cancel', onPress: () => console.log('Cancel Pressed'), style: 'cancel'},
    {text: 'OK', onPress: () => console.log('OK Pressed')},
  ])        

Keith-Hon

# ionic-firebase-forum-template-spec

## Functional Spec

Since it is a prototype, it would be good enough to show

1. basic functions on threads
  1.1 comment
  1.2 edit previous post
  1.3 upvote, downvote

Keith-Hon

sudo rm -Rf /Applications/Docker.app
sudo rm -f /usr/local/bin/docker
sudo rm -f /usr/local/bin/docker-machine
sudo rm -f /usr/local/bin/docker-compose
sudo rm -f /usr/local/bin/docker-credential-desktop
sudo rm -f /usr/local/bin/docker-credential-ecr-login
sudo rm -f /usr/local/bin/docker-credential-osxkeychain
sudo rm -Rf ~/.docker
sudo rm -Rf ~/Library/Containers/com.docker.docker
sudo rm -Rf ~/Library/Application\ Support/Docker\ Desktop

Keith-Hon

#  So now you want to finetune that GPT-J-6B on a 3090/TITAN GPU ... okay 
#  More exploratory coding. It uses the Huggingface model port, deepspeed and reads all text/md files from a target directory
#  It is a fragment of a larger system with remote editing, but that's another story
#  This is the raw, training tester. Items to look out for:
#  - uses DeepSpeed and has a DS config
#  - to save space uses SGD instead of ADAM
#  - uses gradient checkpointing
#  - freezes 25% of the layers to fit

# Assumes you can already run https://gist.github.com/kinoc/2d636a68876cd3de7b6e9c9452b61089

Keith-Hon

# Near Simplest Language model API, with room to expand!
# runs GPT-J-6B on 3090 and TITAN and servers it using FastAPI
# change "seq" (which is the context size) to adjust footprint
#
# seq   vram usage
# 512   14.7G
# 900   15.3G

# uses FastAPI, so install that
# https://fastapi.tiangolo.com/tutorial/

Keith-Hon

apt install wget
wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.tgz
tar xvzf ngrok-stable-linux-amd64.tgz -C /usr/local/bin

Keith-Hon

forfiles /S /M *.ext1 /C "cmd /c rename @file @fname.ext2"

Keith-Hon

// pages/api/webhooks/github.js
const { exec } = require("child_process");
const crypto = require("crypto");

// Handle GitHub Webhooks
export default function handler(req, res) {
    try {
        console.log("Incoming Request");
        if (req.method !== 'POST') {
            res.send(404);

Keith-Hon

kubeadm reset

## master only
etcdctl rm --recursive registry

rm -rf /var/lib/cni

rm -rf /run/flannel

rm -rf /etc/cni

Keith-Hon

import requests
en_content = requests.get('https://www.google.com/basepages/producttype/taxonomy-with-ids.en-US.txt')

def load_taxonomy_hierarchy(root, taxonomy_content, is_root):
  lines = taxonomy_content.split('\n')
  filtered_lines = lines[1:]
  filtered_lines = list(filter(lambda line: len(line) > 0, filtered_lines))
  # extract the root taxonomy from content
  root_taxonomy_set = set()