Mercurial > ift6266

annotate datasets/defs.py @ 647:47af8a002530 tip

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changed Theano to ift6266 and remove numpy as we do not use code from numpy in this repository
author Razvan Pascanu <r.pascanu@gmail.com>
date Wed, 17 Oct 2012 09:26:14 -0400
parents 22efb4968054
children
rev   line source
211
476da2ba6a12 Add nist_P07 datasets to the predefs.
Arnaud Bergeron <abergeron@gmail.com>
parents: 181
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1 __all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all', 'ocr',
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xaviermuller
parents: 269
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2 'nist_P07', 'PNIST07', 'mnist']
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4b28d7382dbf Add inital implementation of datasets.
Arnaud Bergeron <abergeron@gmail.com>
parents:
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3
4b28d7382dbf Add inital implementation of datasets.
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4 from ftfile import FTDataSet
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4cfd0eb438af Add mnist to datasets (and supporting code).
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5 from gzpklfile import GzpklDataSet
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76bc047df5ee Add dtype conversion and rescaling to the read path.
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6 import theano
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Dumitru Erhan <dumitru.erhan@gmail.com>
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7 import os
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224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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8
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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9 # if the environmental variables exist, get the path from them,
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
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parents: 222
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10 # otherwise fall back on the default
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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11 NIST_PATH = os.getenv('NIST_PATH','/data/lisa/data/nist/by_class/')
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
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parents: 222
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12 DATA_PATH = os.getenv('DATA_PATH','/data/lisa/data/ift6266h10/')
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
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parents: 222
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13
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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14 nist_digits = lambda maxsize=None: FTDataSet(train_data = [os.path.join(NIST_PATH,'digits/digits_train_data.ft')],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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15 train_lbl = [os.path.join(NIST_PATH,'digits/digits_train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
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parents: 222
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16 test_data = [os.path.join(NIST_PATH,'digits/digits_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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17 test_lbl = [os.path.join(NIST_PATH,'digits/digits_test_labels.ft')],
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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18 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
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parents: 231
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19 nist_lower = lambda maxsize=None: FTDataSet(train_data = [os.path.join(NIST_PATH,'lower/lower_train_data.ft')],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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20 train_lbl = [os.path.join(NIST_PATH,'lower/lower_train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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21 test_data = [os.path.join(NIST_PATH,'lower/lower_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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22 test_lbl = [os.path.join(NIST_PATH,'lower/lower_test_labels.ft')],
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
23 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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24 nist_upper = lambda maxsize=None: FTDataSet(train_data = [os.path.join(NIST_PATH,'upper/upper_train_data.ft')],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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25 train_lbl = [os.path.join(NIST_PATH,'upper/upper_train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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26 test_data = [os.path.join(NIST_PATH,'upper/upper_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
27 test_lbl = [os.path.join(NIST_PATH,'upper/upper_test_labels.ft')],
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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28 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
163
4b28d7382dbf Add inital implementation of datasets.
Arnaud Bergeron <abergeron@gmail.com>
parents:
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29
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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30 nist_all = lambda maxsize=None: FTDataSet(train_data = [os.path.join(DATA_PATH,'train_data.ft')],
231
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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31 train_lbl = [os.path.join(DATA_PATH,'train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
32 test_data = [os.path.join(DATA_PATH,'test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
33 test_lbl = [os.path.join(DATA_PATH,'test_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
34 valid_data = [os.path.join(DATA_PATH,'valid_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
35 valid_lbl = [os.path.join(DATA_PATH,'valid_labels.ft')],
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
36 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
175
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
37
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
38 ocr = lambda maxsize=None: FTDataSet(train_data = [os.path.join(DATA_PATH,'ocr_train_data.ft')],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
39 train_lbl = [os.path.join(DATA_PATH,'ocr_train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
40 test_data = [os.path.join(DATA_PATH,'ocr_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
41 test_lbl = [os.path.join(DATA_PATH,'ocr_test_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
42 valid_data = [os.path.join(DATA_PATH,'ocr_valid_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
43 valid_lbl = [os.path.join(DATA_PATH,'ocr_valid_labels.ft')],
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
44 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
211
476da2ba6a12 Add nist_P07 datasets to the predefs.
Arnaud Bergeron <abergeron@gmail.com>
parents: 181
diff changeset
45
269
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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46 #There is 2 more arguments here to can choose smaller datasets based on the file number.
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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47 #This is usefull to get different data for pre-training and finetuning
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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48 nist_P07 = lambda maxsize=None, min_file=0, max_file=100: FTDataSet(train_data = [os.path.join(DATA_PATH,'data/P07_train'+str(i)+'_data.ft') for i in range(min_file, max_file)],
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
diff changeset
49 train_lbl = [os.path.join(DATA_PATH,'data/P07_train'+str(i)+'_labels.ft') for i in range(min_file, max_file)],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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50 test_data = [os.path.join(DATA_PATH,'data/P07_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
51 test_lbl = [os.path.join(DATA_PATH,'data/P07_test_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
52 valid_data = [os.path.join(DATA_PATH,'data/P07_valid_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
diff changeset
53 valid_lbl = [os.path.join(DATA_PATH,'data/P07_valid_labels.ft')],
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
54 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
349
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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55
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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56 #Added PNIST07
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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57 PNIST07 = lambda maxsize=None, min_file=0, max_file=100: FTDataSet(train_data = [os.path.join(DATA_PATH,'data/PNIST07_train'+str(i)+'_data.ft') for i in range(min_file, max_file)],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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58 train_lbl = [os.path.join(DATA_PATH,'data/PNIST07_train'+str(i)+'_labels.ft') for i in range(min_file, max_file)],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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59 test_data = [os.path.join(DATA_PATH,'data/PNIST07_test_data.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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60 test_lbl = [os.path.join(DATA_PATH,'data/PNIST07_test_labels.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
diff changeset
61 valid_data = [os.path.join(DATA_PATH,'data/PNIST07_valid_data.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
diff changeset
62 valid_lbl = [os.path.join(DATA_PATH,'data/PNIST07_valid_labels.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
diff changeset
63 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
222
4cfd0eb438af Add mnist to datasets (and supporting code).
Arnaud Bergeron <abergeron@gmail.com>
parents: 211
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64
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
65 mnist = lambda maxsize=None: GzpklDataSet(os.path.join(DATA_PATH,'mnist.pkl.gz'),
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
66 maxsize=maxsize)