Shikib Mehri Shikib

## captioning.ipynb

      
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                Shikib
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              March 22, 2018 23:40
            
              
                Image captioning tutorial
              
          
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## score_sent.py
import os
import json

import numpy as np
import torch
from torch.utils.data import DataLoader, Dataset, SequentialSampler, RandomSampler
from torch.utils.data.distributed import DistributedSampler


import math

## example.py
import tornado.ioloop
import tornado.web
import json

histories = {}

def reply(history):
  return ' '.join(history[-1].split()[::-1])

class MainHandler(tornado.web.RequestHandler):

## fed_read.py
import argparse
import json
import numpy as np

parser = argparse.ArgumentParser(description='Sub-task 2 FED Script')

parser.add_argument('--filename', type=str, default='fed_fine-tune-on-DialoGPT-M.json')

args = parser.parse_args()
	import os
	import json

	import numpy as np
	import torch
	from torch.utils.data import DataLoader, Dataset, SequentialSampler, RandomSampler
	from torch.utils.data.distributed import DistributedSampler


	import math
	import tornado.ioloop
	import tornado.web
	import json

	histories = {}

	def reply(history):
	return ' '.join(history[-1].split()[::-1])

	class MainHandler(tornado.web.RequestHandler):
	import argparse
	import json
	import numpy as np

	parser = argparse.ArgumentParser(description='Sub-task 2 FED Script')

	parser.add_argument('--filename', type=str, default='fed_fine-tune-on-DialoGPT-M.json')

	args = parser.parse_args()