Cypherpunk Samurai CypherpunkSamurai

This downloads standalone MSVC compiler, linker & other tools, also headers/libraries from Windows SDK into portable folder, without installing Visual Studio. Has bare minimum components - no UWP/Store/WindowsRT stuff, just files & tools for native desktop app development.

Run py.exe portable-msvc.py and it will download output into msvc folder. By default it will download latest available MSVC & Windows SDK - currently v14.40.33807 and v10.0.26100.0.

You can list available versions with py.exe portable-msvc.py --show-versions and then pass versions you want with --msvc-version and --sdk-version arguments.

To use cl.exe/link.exe first run setup_TARGET.bat - after that PATH/INCLUDE/LIB env variables will be updated to use all the tools as usual. You can also use clang-cl.exe with these includes & libraries.

To use clang-cl.exe without running setup.bat, pass extra /winsysroot msvc argument (msvc is folder name where output is stored).

Devuan Bootstrap Installation Guide

This guide is for installing Devuan Unstable (Ceres) edition using debootstrap for a more minimal setup. This process is for UEFI amd64 system.

Problem

I was training a deep learning model on Google Colab. I had to go somewhere for an emergency work. When I came back, I realized that Colab was disconnected; Therefore, I had to run the whole model again.

Solution

I searched on the Internet to solve this problem. I noticed that Colab will be disconnected if you don't click on the page. Here is an answer that I find:

function ClickConnect() {
  console.log('Working')
 document

	# Install bitsandbytes:
	# `nvcc --version` to get CUDA version.
	# `pip install -i https://test.pypi.org/simple/ bitsandbytes-cudaXXX` to install for current CUDA.
	# Example Usage:
	# Single GPU: torchrun --nproc_per_node=1 trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=1 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True
	# Multiple GPUs: torchrun --nproc_per_node=N trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=10 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True

	import argparse
	import socket
	import sys

	# Install bitsandbytes:
	# `nvcc --version` to get CUDA version.
	# `pip install -i https://test.pypi.org/simple/ bitsandbytes-cudaXXX` to install for current CUDA.
	# Example Usage:
	# Single GPU: torchrun --nproc_per_node=1 trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=1 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True
	# Multiple GPUs: torchrun --nproc_per_node=N trainer/diffusers_trainer.py --model="CompVis/stable-diffusion-v1-4" --run_name="liminal" --dataset="liminal-dataset" --hf_token="hf_blablabla" --bucket_side_min=64 --use_8bit_adam=True --gradient_checkpointing=True --batch_size=10 --fp16=True --image_log_steps=250 --epochs=20 --resolution=768 --use_ema=True

	import argparse
	import socket
	import torch

	:Init
	@echo off
	set OUTPUT=%1
	set MODELPATH=%2
	set OUTPUTPATH=%3
	if not exist %OUTPUTPATH% mkdir %OUTPUTPATH%
	goto Install

	:Install
	:: Will ensure pytorch is installed.

	# Cool Snippet Storage Utilities

	* Gisto - https://web.gistoapp.com/
	* Masscode - https://masscode.io/
	* 3Cols - https://3cols.com/
	* Cacher - https://www.cacher.io/

	# What do i prefer?
	I'm currently using Gisto, as it's pretty cool and uses Github Gists for storage. I also like the VSCode extension for Masscode and would like to try it.

	from tqdm import tqdm
	import requests

	# file url
	url = 'https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-stub-meta-history.xml.gz' #file size is '70.5GB'
	# stream true is required
	response = requests.get(url, stream=True)
	# total file size
	t = int(response.headers.get('content-length', 0))
	block_size = 1024**2 #1 Mbit

	import os


	sublime_binary_path = "/tmp/sublime_text" # FIXME: this is the absolute path to writable sublime_text binary.
	version_magic_string = "4126"
	sz_magic_string = 4
	version_magic_string_offset = 0x0002d78a # (Real offset from xxd)

	is_file_read = os.access(sublime_binary_path, os.R_OK)
	if not is_file_read:

	To rename WSL Distros on Windows follow the steps:

	1. Stop all instances of WSL
	On PowerShell run the command: wsl --shutdown

	2. Open Registry Editor and go to HKEY_CURRENT_USER\SOFTWARE\Microsoft\Windows\CurrentVersion\Lxss
	Each subfolder on Lxss represents a distro

	3. Locate and rename the distro you want
	Inside each distro folder you have the DistributionName, change it and click ok

Cypherpunk Samurai CypherpunkSamurai

Devuan Bootstrap Installation Guide

Table of Contents

Problem

Solution