Evgenii Zheltonozhskii Randl

Prevent NVIDIA GPUs' throttling on headless server

Unlock manual fan & overclock settings
sudo nvidia-xconfig -a --cool-bits=28 --allow-empty-initial-configuration
Reboot system
Create script /usr/local/bin/gpu-fan-control.sh

#!/bin/bash

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = [email protected]:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

	import datetime
	import linecache
	import os

	import pynvml3
	import torch

	print_tensor_sizes = True
	last_tensor_sizes = set()
	gpu_profile_fn = f'{datetime.datetime.now():%d-%b-%y-%H:%M:%S}-gpu_mem_prof.txt'

	from telethon import TelegramClient
	from telethon.tl.functions.channels import GetParticipantsRequest
	from telethon.tl.types import ChannelParticipantsRecent
	from telethon.utils import get_input_peer

	api_id = 123456 # Use your own values here. https://my.telegram.org
	api_hash = '0123456789abcdef0123456789abcdef'
	phone_number = '+34600000000'

	client = TelegramClient('%sessionname%', api_id, api_hash) # feel free to edit %sessionname% as you want

	"""
	Affine transforms implemented on torch tensors, and
	only requiring one interpolation

	Included:
	- Affine()
	- AffineCompose()
	- Rotation()
	- Translation()
	- Shear()

	// Just before switching jobs:
	// Add one of these.
	// Preferably into the same commit where you do a large merge.
	//
	// This started as a tweet with a joke of "C++ pro-tip: #define private public",
	// and then it quickly escalated into more and more evil suggestions.
	// I've tried to capture interesting suggestions here.
	//
	// Contributors: @r2d2rigo, @joeldevahl, @msinilo, @_Humus_,
	// @YuriyODonnell, @rygorous, @cmuratori, @mike_acton, @grumpygiant,