Mercurial > pylearn
comparison _nnet_ops.py @ 24:2e8be9f5412b
added nnet_ops
author | bergstrj@iro.umontreal.ca |
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date | Thu, 10 Apr 2008 17:25:13 -0400 |
parents | |
children | b63e8c0bf21b |
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23:526e192b0699 | 24:2e8be9f5412b |
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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 | |
15 class T_CrossentropySoftmax1Hot(unittest.TestCase): | |
16 def setUp(self): | |
17 numpy.random.seed(9999) | |
18 def test0(self): | |
19 y_idx = [0,1,3] | |
20 def output1(a): | |
21 return cross_entropy_softmax_1hot(a, y_idx)[0:1] | |
22 TT.verify_grad(self, output1, [numpy.random.rand(3,4)]) | |
23 | |
24 | |
25 | |
26 if __name__ == '__main__': | |
27 unittest.main() |