sheerun

PCI Passthrough

Warning: unfinished (but successfull!)

I did PCI passthrough on Archlinux and Debian with the old PCI-stub method (this was pre-4.0 era). And later I did PCI passthrough on the 4.1+ kernels on Arch and Ubuntu (16.10 I think?).

This is my attempt at doing the same on Nixos.

Requirements

sheerun

.application-main {
    max-width: 1180px;
    margin: 0 auto;
}

* {
    border-radius: 0 !important;
    box-shadow: none !important;
}

sheerun

const { performance } = require('perf_hooks');

let callback = () => {}

const ticker = (cb) => {
  callback = cb

  return () => {
    if (callback === cb) {
      callback = () => {}

sheerun

import tensorflow as tf
import requests
import responder
import os, tempfile

# download("http://gajamed.pl/uploads/2016/04/29.jpg")
# => "/tmp/foo.jpg"
def download(url):
    dest = os.path.join(tempfile.mkdtemp(), 'image.jpg')
    response = requests.get(url, allow_redirects=True)

sheerun

require 'open-uri'
require 'json'
require 'parallel'

packages = File.read('01.most-dependent-upon.md').scan(/\[([\w-]+)\]/m).to_a.map(&:first)

Parallel.each(packages) do |package|
  begin
    parsed = JSON.parse(open('https://registry.npmjs.org/' + package).read)
    url = URI.parse(parsed['repository']['url'])

sheerun

Error: NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: import/module_apply_default/MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](import/module_apply_default/MobilenetV2/input, import/module_apply_default/MobilenetV2/Conv/Conv2D/ReadVariableOp). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
	 [[Node: import/module_apply_default/MobilenetV2/Conv/Conv2D = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 2, 2, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/gpu:0"](import/m

sheerun

// Compile with:
// gcc -o click click.m -framework ApplicationServices -framework Foundation
//
// Usage:
// ./click -x pixels -y pixels
// At the given coordinates it will click and release.
//
// From http://hints.macworld.com/article.php?story=2008051406323031
#import <Foundation/Foundation.h>
#import <ApplicationServices/ApplicationServices.h>

sheerun

#!/bin/sh
printf "Hello world"

sheerun

#include <bits/stdc++.h>

using namespace std;

bool prime(long n) {
  if (n < 2) return false;

  for (long i = 2; i*i <= n; i++) {
    if (n % i == 0) return false;
  }

sheerun

{
  "registry": "https://registry.bower.io"
}