Mercurial > pylearn
annotate misc.py @ 186:562f308873f0
added ManualNNet
author | James Bergstra <bergstrj@iro.umontreal.ca> |
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date | Tue, 13 May 2008 20:10:03 -0400 |
parents | e9a95e19e6f8 |
children | d7250ee86f72 |
rev | line source |
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175 | 1 |
2 import theano | |
3 | |
4 class Print(theano.Op): | |
5 def __init__(self,message=""): | |
6 self.message=message | |
7 self.view_map={0:[0]} | |
8 | |
9 def make_node(self,xin): | |
10 xout = xin.type.make_result() | |
11 return theano.Apply(op = self, inputs = [xin], outputs=[xout]) | |
12 | |
13 def perform(self,node,inputs,output_storage): | |
14 xin, = inputs | |
15 xout, = output_storage | |
16 xout[0] = xin | |
17 print self.message,xin | |
18 | |
19 def grad(self,input,output_gradients): | |
20 return output_gradients | |
21 | |
49
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22 |
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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))) |