Mercurial > pylearn

annotate test_speed.py @ 484:3daabc7f94ff

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Added Yoshua's explanation
author Joseph Turian <turian@gmail.com>
date Tue, 28 Oct 2008 01:33:27 -0400
parents 6255359318bf
children
rev   line source
277
6255359318bf moved test_speed() in its own file
Frederic Bastien <bastienf@iro.umontreal.ca>
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1 import numpy
6255359318bf moved test_speed() in its own file
Frederic Bastien <bastienf@iro.umontreal.ca>
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2 from dataset import *
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Frederic Bastien <bastienf@iro.umontreal.ca>
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3 from misc import *
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Frederic Bastien <bastienf@iro.umontreal.ca>
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4 def test_speed(array, ds):
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5 print "test_speed", ds.__class__
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6
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7 mat = numpy.random.rand(400,100)
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8
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9 @print_timing
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Frederic Bastien <bastienf@iro.umontreal.ca>
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10 def f_array_full(a):
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11 a+1
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12 @print_timing
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13 def f_array_index(a):
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14 for id in range(a.shape[0]):
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15 # pass
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16 a[id]+1
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17 # a[id]*mat
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18 @print_timing
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19 def f_array_iter(a):
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Frederic Bastien <bastienf@iro.umontreal.ca>
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20 for r in a:
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Frederic Bastien <bastienf@iro.umontreal.ca>
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21 # pass
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Frederic Bastien <bastienf@iro.umontreal.ca>
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22 r+1
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23 # r*mat
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24 @print_timing
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Frederic Bastien <bastienf@iro.umontreal.ca>
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25 def f_ds_index(ds):
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26 for id in range(len(ds)):
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Frederic Bastien <bastienf@iro.umontreal.ca>
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27 # pass
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Frederic Bastien <bastienf@iro.umontreal.ca>
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28 ds[id][0]+1
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29 # ds[id][0]*mat
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30 @print_timing
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31 def f_ds_iter(ds):
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32 for ex in ds:
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33 # pass
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Frederic Bastien <bastienf@iro.umontreal.ca>
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34 ex[0]+1
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Frederic Bastien <bastienf@iro.umontreal.ca>
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35 # a[0]*mat
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36 @print_timing
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Frederic Bastien <bastienf@iro.umontreal.ca>
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37 def f_ds_mb1(ds,mb_size):
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38 for exs in ds.minibatches(minibatch_size = mb_size):
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39 for ex in exs:
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40 # pass
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Frederic Bastien <bastienf@iro.umontreal.ca>
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41 ex[0]+1
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42 # ex[0]*mat
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43 @print_timing
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44 def f_ds_mb2(ds,mb_size):
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45 for exs in ds.minibatches(minibatch_size = mb_size):
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46 # pass
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Frederic Bastien <bastienf@iro.umontreal.ca>
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47 exs[0]+1
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48 # ex[0]*mat
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49
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50 f_array_full(array)
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51 f_array_index(array)
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52 f_array_iter(array)
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53
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54 f_ds_index(ds)
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55 f_ds_iter(ds)
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56
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57 f_ds_mb1(ds,10)
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58 f_ds_mb1(ds,100)
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59 f_ds_mb1(ds,1000)
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60 f_ds_mb1(ds,10000)
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61 f_ds_mb2(ds,10)
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62 f_ds_mb2(ds,100)
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63 f_ds_mb2(ds,1000)
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64 f_ds_mb2(ds,10000)
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65
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66 if __name__=='__main__':
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67 a2 = numpy.random.rand(100000,400)
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68 ds1 = ArrayDataSet(a2,{'all':slice(0,a2.shape[1],1)})
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69 test_speed(a2,ds1)
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70 a1 = numpy.random.rand(100000,40)
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71 ds4 = ArrayDataSet(a1,LookupList(["f"+str(x)for x in range(a1.shape[1])],
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72 range(a1.shape[1])))
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73 test_speed(a2,ds4)
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74 ds2=CachedDataSet(ds1,cache_all_upon_construction=False)
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75 test_speed(a2,ds2)
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76 ds3=CachedDataSet(ds1,cache_all_upon_construction=True)
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77 test_speed(a2,ds3)
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78 del a2,ds1,ds2,ds3
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79