annotate _test_xlogx.py @ 514:a4d34dad3083

merged
author James Bergstra <bergstrj@iro.umontreal.ca>
date Fri, 31 Oct 2008 11:08:25 -0400
parents 117e5b09cf31
children 242efecefd70
rev   line source
450
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1 from xlogx import xlogx
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2
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3 import unittest
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4 from theano import compile
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5 from theano import gradient
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6
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7 from theano.tensor import as_tensor
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8 import theano._test_tensor as TT
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9
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10 import random
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11 import numpy.random
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12
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13 class T_XlogX(unittest.TestCase):
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14 def test0(self):
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15 x = as_tensor([1, 0])
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16 y = xlogx(x)
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17 y = compile.eval_outputs([y])
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18 self.failUnless(numpy.all(y == numpy.asarray([0, 0.])))
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19 def test1(self):
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20 class Dummy(object):
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21 def make_node(self, a):
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22 return [xlogx(a)[:,2]]
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23 TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4)])
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24
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25
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26 if __name__ == '__main__':
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27 unittest.main()