Mercurial > pylearn
view _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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import unittest import theano._test_tensor as TT import numpy from nnet_ops import * class T_sigmoid(unittest.TestCase): def setUp(self): numpy.random.seed(9999) def test_elemwise(self): TT.verify_grad(self, Sigmoid, [numpy.random.rand(3,4)]) class T_CrossentropySoftmax1Hot(unittest.TestCase): def setUp(self): numpy.random.seed(9999) def test0(self): y_idx = [0,1,3] def output1(a): return cross_entropy_softmax_1hot(a, y_idx)[0:1] TT.verify_grad(self, output1, [numpy.random.rand(3,4)]) if __name__ == '__main__': unittest.main()