Seung Hyun Kim skim0119

How to install CUDA / cuDNN / TensorRT on Ubuntu

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

Remove previous NVIDIA installation

Storing Images and Demos in your Repo

In this quick walkthough you'll learn how to create a separate branch in your repo to house your screenshots and demo gifs for use in your master's readme.

How to

1. Clone a fresh copy of your repo

In order to prevent any loss of work it is best to clone the repo in a separate location to complete this task.

2. Create a new branch

Create a new branch in your repo by using git checkout --orphan assets

텐서플로우 시작하기

글쓴이: 김정주(haje01@gmail.com)

이 문서는 텐서플로우 공식 페이지 내용을 바탕으로 만들어졌습니다.

소개

텐서플로우(TensorFlow)는 기계 학습과 딥러닝을 위해 구글에서 만든 오픈소스 라이브러리입니다. 데이터 플로우 그래프(Data Flow Graph) 방식을 사용하였습니다.

Contributing

When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.

Please note we have a code of conduct, please follow it in all your interactions with the project.

Pull Request Process

Ensure any install or build dependencies are removed before the end of the layer when doing a

	Better way to create alias/shortcut in python package than `from .module import *`

	## purpose
	When a module is loaded with `from .module import ...` and if `module` is placed within some nested directory structure, python tends to load all hierarchy of modules upstream, even when user only need this single module. This hinders if different modules in the package is supposed to operate independently, and significantly increase the loading time. In addition, adding alias and shortcut in `__init__.py` requires careful management to avoid circular import.
	The script dynamically load the module upon request, and the request happens at the file-level such that it does not load the entire modules in parent trees.

	## import order
	- pre-defined dictionary
	- regular import
	- ImportError

	#!/usr/bin/env bash

	declare -A compilers
	# compilers[gcc]="/home/linuxbrew/.linuxbrew/opt/gcc@8/bin/g++-8"
	compilers[gcc10]=g++-10
	# compilers[gcc11]=g++-11
	# compilers[clang]=clang++-8

	declare -A cmake_build_types
	# cmake_build_types[debug]="Debug"

	#!/usr/bin/env bash

	declare -A compilers
	compilers[gcc]=/opt/homebrew/opt/gcc/bin/g++-12
	compilers[clang]=/opt/homebrew/opt/llvm/bin/clang++

	declare -A cmake_build_types
	cmake_build_types[debug]="Debug"
	# cmake_build_types[release]="Release"
	# cmake_build_types[relwithdebuginfo]="RelWithDebInfo"

	name: Use Python Poetry cache on GitHub Actions workflow

	on:
	push:
	branches:
	- main

	env:
	PYTHON_VERSION: "3.11"
	POETRY_VERSION: "1.4.2"

	#!/bin/bash

	function prompt_for_multiselect {

	# little helpers for terminal print control and key input
	GREEN='\033[00;32m'
	YELLOW='\033[00;33m'
	RESTORE='\033[0m'
	ESC=$( printf "\033")
	cursor_blink_on() { printf "$ESC[?25h"; }

	# Purge the reflog of anything farther back than 180 days, specifying --all, otherwise unreachable 'dangling' objects will be missed,
	# optional --expire-unreachable flag could differ on when to expire unreachables

	git reflog expire --all --expire=180.days.ago --expire-unreachable=180.days.ago --all

	# other examples for expire
	--expire=now
	--expire=never
	--expire="Jan 01 2019"
	--expire="2019-01-01 00:00"