Eric Moore eric-gitta-moore

Install CUDA and cuDNN using Conda

Tested on:

Windows 11 Pro for Workstations and WSL2 Debian 12
Processor: Intel(R) Xeon(R) Gold 6138 CPU @ 2.00GHz 2.00 GHz (2 processors)
Installed RAM: 384 GB
VGA: NVIDIA Quadro P2000 5GB

Disable microphone and camera mini popup window

Set the following variables in about:config

privacy.webrtc.hideGlobalIndicator = true
privacy.webrtc.legacyGlobalIndicator = false

Remove horizontal tabs at the top of Firefox

Setup ZSH

This gist will guide you through to setup starship along with zsh suggestions and zsh syntax highlight for your codespaces.

自我介绍

👋 Hi，我是三咲智子，00 后，~~目前大二在读~~（写于 2022 年），开源爱好者，Vue、VueUse、Element Plus 开源社区团队成员。这篇文章受 Anthony Fu 的播客视频的启发，主要介绍我的编程经历。以时间线为顺序，也是自我回忆和整理下我这些年都干了些什么。部分回忆可能存在时间错误，但事情都是实际发生过的。

我的经历

我从小学就开始接触编程和其他技术相关的东西了。

2011 年 9 岁四年级

Hyperv Linux Guest GPU PV

Create VM

$isopath = <iso location>
$vhdpath = <vhdx location>
$vmpath = <vm path>
$vmname = "Arch-dxgkrnl"
New-VM -Name $vmname -MemoryStartupBytes 8GB -BootDevice VHD -NewVHDPath $vhdpath -Path $vmpath -NewVHDSizeBytes 20GB -Generation 2 -Switch "Default Switch"

	#!/bin/bash -e
	BRANCH=linux-msft-wsl-6.6.y

	if [ "$EUID" -ne 0 ]; then
	echo "Swithing to root..."
	exec sudo $0 "$@"
	fi

	apt-get install -y git dkms curl dwarves linux-source-6.12

	# Script to easily set resource allocation for GPUs to be passed through into a Hyper-V VM
	#
	# Author: ThioJoe / https://github.com/thiojoe
	#
	### Instructions for copying drivers to VM - Will likely need to do this before running this script
	# NOTE: Instead of manually copying the files, if you have an Nvidia GPU you can use my other script called "Copy-GPU-Drivers-VM.ps1" to do it automatically
	# 1. Open C:\Windows\System32 on host machine and copy any files beginning with "nv" (Except nvspinfo.exe and NvAgent.dll , which are unrelated)
	# 2. Place those files into the System32 folder on the VM
	# 3. On the VM, create the following directory: C:\Windows\System32\HostDriverStore\FileRepository
	# 4. For Nvidia GPUs, open C:\Windows\System32\DriverStore\FileRepository, copy any folders beginning with "nv_" (The number of folders should match the number of GPUs, or at least number of different models of GPU)

	if (typeof Promise.withResolvers === 'undefined') {
	Promise.withResolvers = function () {
	let resolve, reject
	const promise = new Promise((res, rej) => {
	resolve = res
	reject = rej
	})
	return { promise, resolve, reject }
	}
	}

	# Referred to https://dev.to/gjrdiesel/installing-curl-with-http3-on-macos-2di2

	# Clean up any old version of curl you may have already tried to install
	brew remove -f curl

	# Download the curl ruby install script provided by cloudflare
	curl -O https://gist.githubusercontent.com/sinwoobang/bfc7cc8d4d38157bde064fc2ccb60c64/raw/bf55b7c6af9ed06d2cd909ea167a69948a800e7d/curl.rb

	# Install curl via that script from the latest git repos
	brew install --HEAD -s curl.rb