Tim Vieira timvieira

## example.py
from decoders import inject_supervitamined_decoders, StochasticBeamSearchDecoder, FakeTransformer
from transformers import T5ForConditionalGeneration, T5Tokenizer
import torch


# pip install decoders

# this demonstration uses a fake toy transformer (https://manueldeprada.com/blog/posts/toy-probabilistic-transformer/)
# to test the correctness of the stochastic beam search implementation
def test_fake_transformer():

## jupyter-scroll.txt
%%javascript

Jupyter.keyboard_manager.command_shortcuts.remove_shortcut('up');
Jupyter.keyboard_manager.command_shortcuts.remove_shortcut('down');

## latexc.py
#!/usr/bin/env python3

import subprocess
import sys

def main():
    proc = subprocess.Popen(['latexmk', '-pvc'] + sys.argv[1:],
                            stdin=subprocess.PIPE,
                            stdout=subprocess.PIPE,
                            stderr=subprocess.STDOUT,

## RankOneUpdate.m
function [] = RankOneUpdateTest( D )

nTrial = 1000;
invW = randn( 3*D, D);
invW = invW'*invW;
x = randn(D,1);

cholinvW = chol(invW,'upper');
logdetinvW = 2*sum(log(diag(cholinvW)));

## footnotes.ipynb

      
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                Latex footnotes, citations, etc. in IPython Notebook; see at http://nbviewer.ipython.org/4492534/
              
          
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	from decoders import inject_supervitamined_decoders, StochasticBeamSearchDecoder, FakeTransformer
	from transformers import T5ForConditionalGeneration, T5Tokenizer
	import torch


	# pip install decoders

	# this demonstration uses a fake toy transformer (https://manueldeprada.com/blog/posts/toy-probabilistic-transformer/)
	# to test the correctness of the stochastic beam search implementation
	def test_fake_transformer():
	%%javascript

	Jupyter.keyboard_manager.command_shortcuts.remove_shortcut('up');
	Jupyter.keyboard_manager.command_shortcuts.remove_shortcut('down');
	#!/usr/bin/env python3

	import subprocess
	import sys

	def main():
	proc = subprocess.Popen(['latexmk', '-pvc'] + sys.argv[1:],
	stdin=subprocess.PIPE,
	stdout=subprocess.PIPE,
	stderr=subprocess.STDOUT,
	function [] = RankOneUpdateTest( D )

	nTrial = 1000;
	invW = randn( 3*D, D);
	invW = invW'*invW;
	x = randn(D,1);

	cholinvW = chol(invW,'upper');
	logdetinvW = 2*sum(log(diag(cholinvW)));