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annotate _nnet_ops.py @ 113:b6bc1e769b36

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Automated merge with ssh://p-omega1@lgcm.iro.umontreal.ca/tlearn
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Wed, 07 May 2008 12:12:48 -0400
parents 76e5c0f37165
children 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 def output1(a,b):
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26 return crossentropy_softmax_1hot_with_bias(a, b, y_idx)[0:1]
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27 TT.verify_grad(self, output1, [numpy.random.rand(3,4),
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28 numpy.random.rand(4)])
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30 def test1(self):
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31 y_idx = [0,1,3]
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32 def output1(a):
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33 return crossentropy_softmax_1hot(a, y_idx)[0:1]
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34 TT.verify_grad(self, output1, [numpy.random.rand(3,4)])
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37
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38 if __name__ == '__main__':
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39 unittest.main()