Mercurial > ift6266

annotate datasets/gzpklfile.py @ 393:4c840798d290

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added examples of figure and table of results
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Tue, 27 Apr 2010 09:59:40 -0400
parents c2fae7b96769
children
rev   line source
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4cfd0eb438af Add mnist to datasets (and supporting code).
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1 import gzip
4cfd0eb438af Add mnist to datasets (and supporting code).
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2 try:
4cfd0eb438af Add mnist to datasets (and supporting code).
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3 import cPickle as pickle
4cfd0eb438af Add mnist to datasets (and supporting code).
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4 except ImportError:
4cfd0eb438af Add mnist to datasets (and supporting code).
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5 import pickle
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6
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7 from dataset import DataSet
4cfd0eb438af Add mnist to datasets (and supporting code).
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8 from dsetiter import DataIterator
4cfd0eb438af Add mnist to datasets (and supporting code).
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9 from itertools import izip
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10
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11 class ArrayFile(object):
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12 def __init__(self, ary):
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13 self.ary = ary
4cfd0eb438af Add mnist to datasets (and supporting code).
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14 self.pos = 0
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15
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16 def read(self, num):
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17 res = self.ary[self.pos:self.pos+num]
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18 self.pos += num
4cfd0eb438af Add mnist to datasets (and supporting code).
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19 return res
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20
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21 class GzpklDataSet(DataSet):
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
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22 def __init__(self, fname, maxsize):
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23 self._fname = fname
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24 self.maxsize = maxsize
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25 self._train = 0
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26 self._valid = 1
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27 self._test = 2
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28
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29 def _load(self):
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30 f = gzip.open(self._fname, 'rb')
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31 try:
4cfd0eb438af Add mnist to datasets (and supporting code).
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32 self.datas = pickle.load(f)
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33 finally:
4cfd0eb438af Add mnist to datasets (and supporting code).
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34 f.close()
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35
4cfd0eb438af Add mnist to datasets (and supporting code).
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36 def _return_it(self, batchsz, bufsz, id):
4cfd0eb438af Add mnist to datasets (and supporting code).
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37 if not hasattr(self, 'datas'):
4cfd0eb438af Add mnist to datasets (and supporting code).
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38 self._load()
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c2fae7b96769 maxsize -> self.maxsize
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39 return izip(DataIterator([ArrayFile(self.datas[id][0][:self.maxsize])], batchsz, bufsz),
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40 DataIterator([ArrayFile(self.datas[id][1][:self.maxsize])], batchsz, bufsz))