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annotate _nnet_ops.py @ 219:5b3afda2f1ad

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added a class to test any new dataset
author Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
date Fri, 23 May 2008 13:16:42 -0400
parents 3ef569b92fba
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1
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2 import unittest
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3 import theano._test_tensor as TT
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4 import numpy
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5
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6 from nnet_ops import *
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7
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8 class T_sigmoid(unittest.TestCase):
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9 def setUp(self):
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10 numpy.random.seed(9999)
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11 def test_elemwise(self):
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12 TT.verify_grad(self, sigmoid, [numpy.random.rand(3,4)])
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14 class T_softplus(unittest.TestCase):
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15 def setUp(self):
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16 numpy.random.seed(9999)
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17 def test_elemwise(self):
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18 TT.verify_grad(self, softplus, [numpy.random.rand(3,4)])
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20 class T_CrossentropySoftmax1Hot(unittest.TestCase):
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21 def setUp(self):
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22 numpy.random.seed(9999)
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23 def test0(self):
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24 y_idx = [0,1,3]
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25 class Dummy(object):
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26 def make_node(self, a,b):
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27 return crossentropy_softmax_1hot_with_bias(a, b, y_idx)[0:1]
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28 TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4),
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29 numpy.random.rand(4)])
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31 def test1(self):
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32 y_idx = [0,1,3]
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33 class Dummy(object):
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34 def make_node(self, a):
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35 return crossentropy_softmax_1hot(a, y_idx)[0:1]
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36 TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4)])
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39
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40 if __name__ == '__main__':
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41 unittest.main()