EdisonLeeeee

import torch
import tensorflow as tf

########## PyTorch Version 1 ################
x = torch.randn(5, 6)
norm_th = x/torch.norm(x, p=2, dim=1, keepdim=True)
norm_th[torch.isnan(norm_th)] = 0 # to avoid nan

########## PyTorch Version 2 ################
norm_th = torch.nn.functional.normalize(x, p=2, dim=1)

derjanb

#!/usr/bin/env python

# Linux usage: ./extract_tampermonkey_script.py "/home/<USER>/.config/<BROWSER>/Default/Local Extension Settings/<EXTENSION_ID>"
#        i.e.: ./extract_tampermonkey_script.py "/home/foo/.config/google-chrome-beta/Default/Local Extension Settings/gcalenpjmijncebpfijmoaglllgpjagf"
#   Mac usage: ./extract_tampermonkey_script.py "/Users/<USER>/Library/Application Support/Google/Chrome/Default/Local Extension Settings/<EXTENSION_ID>/"
#        i.e.: ./extract_tampermonkey_script.py "/Users/foo/Library/Application Support/Google/Chrome/Default/Local Extension Settings/dhdgffkkebhmkfjojejmpbldmpobfkfo/"

import leveldb
import sys
import re

tobek

/* open up chrome dev tools (Menu > More tools > Developer tools)
 * go to network tab, refresh the page, wait for images to load (on some sites you may have to scroll down to the images for them to start loading)
 * right click/ctrl click on any entry in the network log, select Copy > Copy All as HAR
 * open up JS console and enter: var har = [paste]
 * (pasting could take a while if there's a lot of requests)
 * paste the following JS code into the console
 * copy the output, paste into a text file
 * open up a terminal in same directory as text file, then: wget -i [that file]
 */