Yasmin Moslem ymoslem

How to install CUDA on Debian 8 (Jessie)

This document describes how to install nvidia drivers & CUDA in one go on a fresh debian install.

Work in progress

Hi:

perl -e 'print "hello world!\n"'

A simple filter:

perl -ne 'print if /REGEX/'

Filter out blank lines (in place):

	import torch
	import os
	import argparse
	import matplotlib.pyplot as plt
	from tqdm import tqdm
	from transformers import AutoModelForCausalLM, AutoTokenizer
	import seaborn as sns


	def get_parser():

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

	def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
	""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
	Args:
	logits: logits distribution shape (vocabulary size)
	top_k >0: keep only top k tokens with highest probability (top-k filtering).
	top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
	Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
	"""
	assert logits.dim() == 1 # batch size 1 for now - could be updated for more but the code would be less clear
	top_k = min(top_k, logits.size(-1)) # Safety check

	# BASIC TKINTER CHEATSHEET
	# Build basic GUIs with Python

	from tkinter import *
	from tkinter import scrolledtext
	from tkinter import messagebox
	from tkinter.ttk import Progressbar
	from tkinter import filedialog
	from tkinter import Menu

	#coding: utf-8
	#demo of beam search for seq2seq model
	import numpy as np
	import random

	vocab = {
	0: 'a',
	1: 'b',
	2: 'c',
	3: 'd',

	# variation to https://github.com/ryankiros/skip-thoughts/blob/master/decoding/search.py

	def keras_rnn_predict(samples, empty=empty, rnn_model=model, maxlen=maxlen):
	"""for every sample, calculate probability for every possible label
	you need to supply your RNN model and maxlen - the length of sequences it can handle
	"""
	data = sequence.pad_sequences(samples, maxlen=maxlen, value=empty)
	return rnn_model.predict(data, verbose=0)

	def beamsearch(predict=keras_rnn_predict,

	Byobu is a suite of enhancements to tmux, as a command line
	tool providing live system status, dynamic window management,
	and some convenient keybindings:

	F1 * Used by X11 *
	Shift-F1 Display this help
	F2 Create a new window
	Shift-F2 Create a horizontal split
	Ctrl-F2 Create a vertical split
	Ctrl-Shift-F2 Create a new session

	// tokenize(str)
	// extracts semantically useful tokens from a string containing English-language sentences
	// @param {String} the string to tokenize
	// @returns {Array} contains extracted tokens

	function tokenize(str) {

	var punct='\\['+ '\\!'+ '\\"'+ '\\#'+ '\\$'+ // since javascript does not
	'\\%'+ '\\&'+ '\\\''+ '\\('+ '\\)'+ // support POSIX character
	'\\*'+ '\\+'+ '\\,'+ '\\\\'+ '\\-'+ // classes, we'll need our