Lee Seongjoo lseongjoo

Creating additional virtual hard disk (VHDX) for WSL2 with ext4 filesystem

Lines starting with # mean the commands have to be executed by root user under Linux shell (WSL distro). All other commands have to be executed under Windows-PowerShell as Administrator.

Make VHDX disk file and mount it under Windows

New-VHD support.vhdx -SizeBytes 25GB -Dynamic -BlockSizeBytes 1MB
Write-Output "\\.\PhysicalDrive$((Mount-VHD -Path support.vhdx -PassThru | Get-Disk).Number)"

How to install numpy on M1 Max, with the most accelerated performance (Apple's vecLib)? Here's the answer as of Dec 6 2021.

Steps

I. Install miniforge

So that your Python is run natively on arm64, not translated via Rosseta.

Download Miniforge3-MacOSX-arm64.sh, then
Run the script, then open another shell

$ bash Miniforge3-MacOSX-arm64.sh

Build from source.

pip install cython pybind11
pip install --no-binary :all: numpy

다음 문서는 아래 플랫폼별 딥러닝 기반 자연어 소프트웨어 라이브러리 설치 절차를 안내합니다.

플랫폼

Windows (x86-64bit)
유닉스 계열 (Unix-Like)
1. Mac (Apple Silicon/Intel x86-64bit)
2. Linux (x86-64bit)

	# Function to get WSL IP address
	function Get-WSLIP {
	return (wsl hostname -I).Trim()
	}

	# Function to add port forwarding rule
	function Add-PortForwardingRule {
	param (
	[int]$HostPort = 22,
	[int]$WSLPort = 22,

	sudo apt-get update
	sudo apt-get install cmake ninja-build gfortran

	pip install --upgrade pip
	pip install cython
	pip install numpy==1.23.* --no-binary=:all: --force-reinstall --no-cache -v

	pip install typing-extensions pytest hypothesis
	python -c "import numpy; numpy.test()"

	./configure --enable-cblas --enable-threading=openmp auto
	make
	make check
	sudo make install

	name: pydeep
	channels:
	- defaults
	- conda-forge
	- apple
	dependencies:
	- python=3.9
	- pip
	- pandas
	- matplotlib

	name: pydeep
	channels:
	- defaults
	- conda-forge
	- nvidia
	dependencies:
	- python=3.9
	- pip
	- pandas
	- matplotlib

	# 파이썬 환경 생성 및 활성화
	conda create --name tf python=3.9
	conda activate tf

	# CUDA+cuDNN 설치 및 설정
	conda install -c conda-forge cudatoolkit=11.2.2 cudnn=8.1.0
	export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/
	mkdir -p $CONDA_PREFIX/etc/conda/activate.d
	echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/' > $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh