lborg019

// Fill out your copyright notice in the Description page of Project Settings.
using System;
using System.IO;
using UnrealBuildTool;

public class codevr : ModuleRules
{
	public codevr(ReadOnlyTargetRules Target) : base(Target)
	{
		PCHUsage = PCHUsageMode.UseExplicitOrSharedPCHs;

samma835

xcodebuild -exportArchive -exportFormat ipa -archivePath {PATH}/MyApp.xcarchive -exportPath ~/Desktop/MyApp.ipa

amdgpupro_in_container.bash

#!/bin/bash -e

ln -s /usr/lib/x86_64-linux-gnu/amdgpu-pro .
ln -s /etc/OpenCL .

tar -czvf libs.tar.gz amdgpu-pro/*
tar -czvf conf.tar.gz OpenCL/*

cat > .dockerignore << EOF
OpenCL

lowstz

#!/bin/bash
export PATH=/usr/local/bin:/usr/bin:/bin:/usr/local/sbin:/usr/sbin:/sbin

### Thanks Xream's Work XD

# if you don't have several vpn servers to select, you can comment following line 
# and use your openvpn config file name to replace "${host}.ovpn" in while loop.

read -p "Select the host: " host

jlblancoc

Run the following in the terminal:

Install the gcc-7 packages:

sudo apt-get install -y software-properties-common
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt update
sudo apt install g++-7 -y

Set it up so the symbolic links gcc, g++ point to the newer version:

courtneyfaulkner

#include <stdio.h>                                                                                                                                               
#include <stdlib.h>
#ifdef __APPLE__
#include <OpenCL/opencl.h>
#else
#include <CL/cl.h>
#endif

int main() {

btalanski

If you are facing the following error while trying to connect to a MySQL server using the MySQL Workbench snap and Ubuntu Focal Fossa: "mysql workbench an apparmor policy prevents this sender [...]"

You might try the following solution:

1 - On a new terminal window, run the following commands:

# snap connect mysql-workbench-community:password-manager-service 
# snap connect mysql-workbench-community:ssh-keys

By using snap connect, you will fix the issue with the MySQL Workbench snap, allowing you to connect to the server(s).

zhanwenchen

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install CUDA
• Install cuDNN

Table of contents generated with markdown-toc

hi2p-perim

/*
	Check SSE/AVX support.
	This application can detect the instruction support of
	SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, SSE4a, SSE5, and AVX.
*/

#include <iostream>
#ifdef _MSC_VER
#include <intrin.h>
#endif

tailriver

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <dlfcn.h>

int main(int argc, char** argv)
{
    void *handle;
    void (*func_print_name)(const char*);