Hansimov

List GPUs in machine

sudo lshw -C display

  *-display UNCLAIMED
       description: VGA compatible controller
       product: GP102 [TITAN Xp]

Following this guide

https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository

Add Docker's official GPG key:

sudo apt-get update
sudo apt-get install ca-certificates curl gnupg
sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

Get current time:

https://time.is/zh/Beijing

sudo date -s "29 Nov 2023 11:25:00+08:00"

Push Github Repo to Huggingface Space

Create a huggingface token

https://huggingface.co/settings/tokens

Put it in the repo secrets with name like HF_TOKEN in related Github repo setitngs:

https://github.com/<user_name>/<repo_name>/settings/secrets/actions

Run following commands in the git root folder:

Create a new folder where would place the new repo
git clone the original repo under this folder
Download git-filter-repo from here: (Do not chagne its extension)
- https://raw.githubusercontent.com/newren/git-filter-repo/main/git-filter-repo
- Place git-filter-repo to the cloned repo root folder
cd the cloned repo root folder, and run following: python git-filter-repo --path <directory_to_separate_to_new_repo> --force
Copy follwing files to root path of the new folder created in step 1:
- Remaining files under <directory_to_separate_to_new_repo>
- .git directory in original repo root folder

Do following steps:

Apply a student account of Azure, with @*.edu email:
- https://azure.microsoft.com/zh-cn/free/students/
- View balance here:
  - https://www.microsoftazuresponsorships.com/Balance#
Start to create a B1S (Linux) server via this page:
- https://portal.azure.com/#view/Microsoft_Azure_Billing/FreeServicesBlade
- Must use this entrance. Create with default method would cost money.
Config the server and create:

Check if CUDA is available by torch:

import torch

def check_cuda():
    print(torch.version.cuda)
    cuda_is_ok = torch.cuda.is_available()
    print(f"CUDA Enabled: {cuda_is_ok}")

tmux

sudo apt install tmux

.tmux.conf
- https://gist.github.com/Hansimov/55f92e1f75923fee178d8a5e49e40143

	import datetime
	import functools
	import inspect
	import logging
	import os
	import shutil
	import subprocess
	from termcolor import colored

	import torch
	import whisper

	from pathlib import Path
	from termcolor import colored


	class SpeechToTextConverter:
	def __init__(self, folders=["."], exts=[".mp3"], files=None):
	self.folders = folders

Hansimov

List GPUs in machine

Push Github Repo to Huggingface Space

tmux

miniconda