These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.
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<?php | |
/** | |
* SplClassLoader implementation that implements the technical interoperability | |
* standards for PHP 5.3 namespaces and class names. | |
* | |
* http://groups.google.com/group/php-standards/web/final-proposal | |
* | |
* // Example which loads classes for the Doctrine Common package in the | |
* // Doctrine\Common namespace. |
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class LazyCollection extends Backbone.Collection | |
indexQuerystring: 'index' | |
index: 1 | |
lastLength: 0 | |
fetch: (options) -> | |
options or= {} | |
if options.reset | |
@index = 1 | |
@lastLength = 0 | |
else |
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################################## | |
### Custom additions from Krux | |
################################## | |
### Extensive documentation here: | |
### http://vagrantup.com/docs/vagrantfile.html | |
require 'etc' | |
owner = ENV['KRUX_MY_USERNAME'] || Etc.getlogin | |
hosts = { |
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#!/bin/sh | |
### | |
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
### | |
# Alot of these configs have been taken from the various places | |
# on the web, most from here | |
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |
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data = sqlContext.load("/home/rxin/ints.parquet") | |
data.groupBy("a").agg(col("a"), avg("num")).collect() |
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# install dependencies | |
sudo apt-get update | |
sudo apt-get install -y build-essential | |
sudo apt-get install -y cmake | |
sudo apt-get install -y libgtk2.0-dev | |
sudo apt-get install -y pkg-config | |
sudo apt-get install -y python-numpy python-dev | |
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev | |
sudo apt-get install -y libjpeg-dev libpng-dev libtiff-dev libjasper-dev | |
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#!/usr/bin/env ruby | |
# -*- mode: ruby -*- | |
# vi: set ft=ruby : | |
require 'JSON' | |
device_types = JSON.parse `xcrun simctl list -j devicetypes` | |
runtimes = JSON.parse `xcrun simctl list -j runtimes` | |
devices = JSON.parse `xcrun simctl list -j devices` |
If you would like to persist data from your ECS containers, i.e. hosting databases like MySQL or MongoDB with Docker, you need to ensure that you can mount the data directory of the database in the container to volume that's not going to dissappear when your container or worse yet, the EC2 instance that hosts your containers, is restarted or scaled up or down for any reason.
Don't know how to create your own AWS ECS Cluster? Go here!
Sadly the EC2 provisioning process doesn't allow you to configure EFS during the initial config. After your create your cluster, follow the guide below.
If you're using an Alpine-based Node server like duluca/minimal-node-web-server follow this guide:
import { Document, BaseNode } from "../Node";
import { v4 as uuidv4 } from "uuid";
import { BaseRetriever } from "../Retriever";
import { ServiceContext } from "../ServiceContext";
import { StorageContext } from "../storage/StorageContext";
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