Allan Jie allanj

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare [email protected]:usi-systems/easytrace.git

People

	#!/bin/bash
	fileid="FILEIDENTIFIER"
	filename="FILENAME"
	curl -c ./cookie -s -L "https://drive.google.com/uc?export=download&id=${fileid}" > /dev/null
	curl -Lb ./cookie "https://drive.google.com/uc?export=download&confirm=`awk '/download/ {print $NF}' ./cookie`&id=${fileid}" -o ${filename}

	from __future__ import print_function
	import torch
	import torch.nn as nn
	import torch.nn.functional as F
	from torch.autograd import Variable

	def sample_gumbel(shape, eps=1e-20):
	U = torch.rand(shape).cuda()
	return -Variable(torch.log(-torch.log(U + eps) + eps))

	import torch
	import torch.nn as nn
	from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

	seqs = ['gigantic_string','tiny_str','medium_str']

	# make <pad> idx 0
	vocab = ['<pad>'] + sorted(set(''.join(seqs)))

	# make model

	def _sequence_mask(sequence_length, max_len=None):
	if max_len is None:
	max_len = sequence_length.data.max()
	batch_size = sequence_length.size(0)
	seq_range = torch.range(0, max_len - 1).long()
	seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len)
	seq_range_expand = Variable(seq_range_expand)
	if sequence_length.is_cuda:
	seq_range_expand = seq_range_expand.cuda()
	seq_length_expand = (sequence_length.unsqueeze(1)

	<!DOCTYPE html>
	<head>

	<!--Little CSS fade in -->
	<style>
	.fade-in{
	-webkit-animation: fade-in 2s ease;
	-moz-animation: fade-in ease-in-out 2s both;
	-ms-animation: fade-in ease-in-out 2s both;
	-o-animation: fade-in ease-in-out 2s both;