Mercurial > pylearn

annotate datasets/smallNorb.py @ 506:eda3d576ee97

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removed n_out from smallnorb_iid rval
author James Bergstra <bergstrj@iro.umontreal.ca>
date Wed, 29 Oct 2008 17:20:18 -0400
parents 74b3e65f5f24
children b8e6de17eaa6
rev   line source
505
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
1 import os
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
2 import numpy
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
3 from ..filetensor import read
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
4 from .config import data_root
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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5
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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6 #Path = '/u/bergstrj/pub/data/smallnorb'
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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7 #Path = '/home/fringant2/lisa/louradoj/data/smallnorb'
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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8 #Path = '/home/louradou/data/norb'
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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9
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
10 class Paths(object):
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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11 """File-related operations on smallNorb
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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12 """
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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13 def __init__(self):
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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14 smallnorb = [data_root(), 'smallnorb']
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
15 self.train_dat = os.path.join(*\
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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16 smallnorb + ['smallnorb-5x46789x9x18x6x2x96x96-training-dat.mat'])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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17 self.test_dat = os.path.join(*\
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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18 smallnorb + ['smallnorb-5x01235x9x18x6x2x96x96-testing-dat.mat'])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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19 self.train_cat = os.path.join(*\
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James Bergstra <bergstrj@iro.umontreal.ca>
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20 smallnorb + ['smallnorb-5x46789x9x18x6x2x96x96-training-cat.mat'])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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21 self.test_cat = os.path.join(*\
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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22 smallnorb + ['smallnorb-5x01235x9x18x6x2x96x96-testing-cat.mat'])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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23 self.train_info = os.path.join(*\
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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24 smallnorb + ['smallnorb-5x46789x9x18x6x2x96x96-training-info.mat'])
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
25 self.test_info = os.path.join(*\
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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26 smallnorb + ['smallnorb-5x01235x9x18x6x2x96x96-testing-info.mat'])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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27
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James Bergstra <bergstrj@iro.umontreal.ca>
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diff changeset
28 def load_append_train_test(self, normalize_pixels=True, downsample_amt=1, dtype='float64'):
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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29
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James Bergstra <bergstrj@iro.umontreal.ca>
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30 def downsample(dataset):
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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31 return dataset[:, 0, ::downsample_amt, ::downsample_amt]
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James Bergstra <bergstrj@iro.umontreal.ca>
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32 samples = downsample(read(open(self.train_dat)))
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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33 samples = numpy.vstack((samples, downsample(read(open(self.test_dat)))))
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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34 samples = numpy.asarray(samples, dtype=dtype)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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35 if normalize_pixels:
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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36 samples *= (1.0 / 255.0)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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37
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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38 labels = read(open(self.train_cat))
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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39 labels = numpy.hstack((labels, read(open(self.test_cat))))
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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40
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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41 infos = read(open(self.train_info))
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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42 infos = numpy.vstack((infos, read(open(self.test_info))))
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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43
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
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44 return samples, labels, infos
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James Bergstra <bergstrj@iro.umontreal.ca>
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45
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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46 def smallnorb_iid(ntrain=29160, nvalid=9720, ntest=9720, dtype='float64', normalize_pixels=True):
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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47 """Variation of the smallNorb task in which we randomly shuffle all the object instances
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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48 together before dividing into train/valid/test.
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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49
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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50 The default train/valid/test sizes correspond to 60/20/20 split of the entire dataset.
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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51
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James Bergstra <bergstrj@iro.umontreal.ca>
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52 :returns: 5, (train_x, train_labels), (valid_x, valid_labels), (test_x, test_labels)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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53
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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54 """
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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55 # cut from /u/louradoj/theano/hpu/expcode1.py
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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56 rng = numpy.random.RandomState(1)
74b3e65f5f24 added smallNorb dataset, switched to PYLEARN_DATA_ROOT
James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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57 samples, labels, infos = Paths().load_append_train_test(downsample_amt=3, dtype=dtype, normalize_pixels=normalize_pixels)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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58
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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59 nsamples = samples.shape[0]
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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60 if ntrain + nvalid + ntest > nsamples:
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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61 raise Exception("ntrain+nvalid+ntest exceeds number of samples (%i)" % nsamples,
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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62 (ntrain, nvalid, ntest))
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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63 i0 = 0
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James Bergstra <bergstrj@iro.umontreal.ca>
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64 i1 = ntrain
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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65 i2 = ntrain + nvalid
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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66 i3 = ntrain + nvalid + ntest
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James Bergstra <bergstrj@iro.umontreal.ca>
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67
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James Bergstra <bergstrj@iro.umontreal.ca>
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68 indices = rng.permutation(nsamples)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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69 train_rows = indices[i0:i1]
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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70 valid_rows = indices[i1:i2]
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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71 test_rows = indices[i2:i3]
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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72
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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73 n_labels = 5
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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74
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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75 def _pick_rows(rows):
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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76 a = numpy.array([ samples[i].flatten() for i in train_rows])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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77 b = numpy.array([ [labels[i]] for i in train_rows])
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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78 return a, b
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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79
506
eda3d576ee97 removed n_out from smallnorb_iid rval
James Bergstra <bergstrj@iro.umontreal.ca>
parents: 505
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80 return [_pick_rows(r) for r in (train_rows, valid_rows, test_rows)]
505
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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81
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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82 def smallnorb_azSplit():
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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83 # cut from /u/louradoj/theano/hpu/expcode1.py
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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84 # WARNING NOT NECESSARILY WORKING CODE
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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85
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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86 samples, labels, infos = _load_append_train_test()
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
diff changeset
87 train_rows, valid_rows, test_rows = [], [], []
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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88 train_rows_azimuth = []
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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89 for instance in range(10):
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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90 az_min = 4*instance
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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91 az_max = 4*instance + 18
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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92 train_rows_azimuth.append( [a % 36 for a in range(az_min,az_max,2)] )
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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93 #print "train_rows_azimuth", train_rows_azimuth
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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94 for i, info in enumerate(infos):
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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95 if info[2] in train_rows_azimuth[info[0]]:
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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96 train_rows.append(i)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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97 elif info[2] / 2 % 2 == 0:
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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98 test_rows.append(i)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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99 else:
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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100 valid_rows.append(i)
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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101
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James Bergstra <bergstrj@iro.umontreal.ca>
parents:
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102 return [_pick_rows(samples, labels, r) for r in (train_rows, valid_rows, test_rows)]