michaelchughes

Goal

Install working tensorflow or pytorch via standard conda environment workflow.

Basic Setup : Install pytorch in a fresh conda environment

The recommended conda-based install process works smoothly:

$ # Create a fresh environment

acdvorak

# ~/.config/htop/htoprc
# Beware! This file is rewritten by htop when settings are changed in the interface.
# The parser is also very primitive, and not human-friendly.
fields=0 48 46 47 38 49 2 1 
sort_key=46
sort_direction=1
hide_threads=1
hide_kernel_threads=1
hide_userland_threads=1
shadow_other_users=0

timwco

What

LinkedIn is a valuable resource, but sometimes it sucks. One of those times is when you want to delete messages. You have to select each message one by one. It takes about 4 "clicks" to successfully delete a message.

This script should help. Since LI requires you to perform multiple steps, I decided to automate it for you. Once you initiate the script, it will run every second. If a message has the ability to be deleted, it will be. If not, it will be archived. Some "InMail" messages cannot be deleted on the web app. This script should work as long as LI doesn't change their page layout or element names, which happens often.

Last tested & verified working on: June, 10, 2022

Special Thanks to @noncent for the updated script.

gtors

Guillaume Papin(@Sarcasm) has a thorough article about compilation databases.

CMake

% mkdir build
% (cd build; cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=YES ..)
% ln -s build/compile_commands.json

baiwfg2

# References:
# https://cmake.org/cmake/help/latest/command/add_custom_target.html
# https://samthursfield.wordpress.com/2015/11/21/cmake-dependencies-between-targets-and-files-and-custom-commands/
# https://gist.github.com/socantre/7ee63133a0a3a08f3990
# https://stackoverflow.com/questions/24163778/how-to-add-custom-target-that-depends-on-make-install
# https://stackoverflow.com/questions/30719275/add-custom-command-is-not-generating-a-target
# https://stackoverflow.com/questions/26024235/how-to-call-a-cmake-function-from-add-custom-target-command
# https://blog.csdn.net/gubenpeiyuan/article/details/51096777

cmake_minimum_required(VERSION 3.10)

umohi

# in order to download release artifacts from github, you have to first retreive the
# list of asset URLs using the github repo REST API. Use the asset URL to download 
# the artifact as a octet-stream data stream. You will need to get an access token 
# from "settings -> developer settings -> personal access tokens" on the github UI
#!/bin/bash -e

owner="MY_ORG_NAME"
repo="MY_REPO_NAME"
tag="ARTIFACT_TAG"
artifact="ARTIFACT_NAME"

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

lucidyan

Prevent NVIDIA GPUs' throttling on headless server

• Unlock manual fan & overclock settings
  sudo nvidia-xconfig -a --cool-bits=28 --allow-empty-initial-configuration
• Reboot system
• Create script /usr/local/bin/gpu-fan-control.sh

#!/bin/bash

W4ngatang

''' Script for downloading all GLUE data.

Note: for legal reasons, we are unable to host MRPC.
You can either use the version hosted by the SentEval team, which is already tokenized, 
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually.
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example).
You should then rename and place specific files in a folder (see below for an example).

mkdir MRPC
cabextract MSRParaphraseCorpus.msi -d MRPC

simonhf

#include <stdio.h>
#include <string.h>
#include <stdint.h>
#include <stdlib.h>
#include <sys/time.h>
#include <locale.h>

#define NUMBYTES (1024*1024*1024)

char bytes[NUMBYTES];