Mercurial > pylearn

annotate misc.py @ 187:ebbb0e749565

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added mlp_factory_approach
author James Bergstra <bergstrj@iro.umontreal.ca>
date Wed, 14 May 2008 11:51:08 -0400
parents e9a95e19e6f8
children d7250ee86f72
rev   line source
175
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Yoshua Bengio <bengioy@iro.umontreal.ca>
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1
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2 import theano
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3
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4 class Print(theano.Op):
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5 def __init__(self,message=""):
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6 self.message=message
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7 self.view_map={0:[0]}
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8
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9 def make_node(self,xin):
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10 xout = xin.type.make_result()
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11 return theano.Apply(op = self, inputs = [xin], outputs=[xout])
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12
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13 def perform(self,node,inputs,output_storage):
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14 xin, = inputs
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15 xout, = output_storage
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16 xout[0] = xin
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17 print self.message,xin
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18
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19 def grad(self,input,output_gradients):
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20 return output_gradients
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21
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718befdc8671 Miscellaneous general-purpose functions
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22
718befdc8671 Miscellaneous general-purpose functions
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23 def unique_elements_list_intersection(list1,list2):
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24 """
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25 Return the unique elements that are in both list1 and list2
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26 (repeated elements in listi will not be duplicated in the result).
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27 This should run in O(n1+n2) where n1=|list1|, n2=|list2|.
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28 """
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29 return list(set.intersection(set(list1),set(list2)))