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comparison _test_nnet_ops.py @ 286:2ee53bae9ee0

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renamed _nnet_ops.py to _test_nnet_opt.py to be used with autotest
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Fri, 06 Jun 2008 13:55:59 -0400
parents _nnet_ops.py@3ef569b92fba
children 43d9aa93934e
comparison
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285:23981827b794 286:2ee53bae9ee0
1
2 import unittest
3 import theano._test_tensor as TT
4 import numpy
5
6 from nnet_ops import *
7
8 class T_sigmoid(unittest.TestCase):
9 def setUp(self):
10 numpy.random.seed(9999)
11 def test_elemwise(self):
12 TT.verify_grad(self, sigmoid, [numpy.random.rand(3,4)])
13
14 class T_softplus(unittest.TestCase):
15 def setUp(self):
16 numpy.random.seed(9999)
17 def test_elemwise(self):
18 TT.verify_grad(self, softplus, [numpy.random.rand(3,4)])
19
20 class T_CrossentropySoftmax1Hot(unittest.TestCase):
21 def setUp(self):
22 numpy.random.seed(9999)
23 def test0(self):
24 y_idx = [0,1,3]
25 class Dummy(object):
26 def make_node(self, a,b):
27 return crossentropy_softmax_1hot_with_bias(a, b, y_idx)[0:1]
28 TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4),
29 numpy.random.rand(4)])
30
31 def test1(self):
32 y_idx = [0,1,3]
33 class Dummy(object):
34 def make_node(self, a):
35 return crossentropy_softmax_1hot(a, y_idx)[0:1]
36 TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4)])
37
38
39
40 if __name__ == '__main__':
41 unittest.main()