Mercurial > pylearn
comparison _test_xlogx.py @ 450:117e5b09cf31
Added an XlogX op.
| author | Joseph Turian <turian@gmail.com> |
|---|---|
| date | Thu, 04 Sep 2008 14:46:17 -0400 |
| parents | |
| children | 242efecefd70 |
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| 449:2bb67e978c28 | 450:117e5b09cf31 |
|---|---|
| 1 from xlogx import xlogx | |
| 2 | |
| 3 import unittest | |
| 4 from theano import compile | |
| 5 from theano import gradient | |
| 6 | |
| 7 from theano.tensor import as_tensor | |
| 8 import theano._test_tensor as TT | |
| 9 | |
| 10 import random | |
| 11 import numpy.random | |
| 12 | |
| 13 class T_XlogX(unittest.TestCase): | |
| 14 def test0(self): | |
| 15 x = as_tensor([1, 0]) | |
| 16 y = xlogx(x) | |
| 17 y = compile.eval_outputs([y]) | |
| 18 self.failUnless(numpy.all(y == numpy.asarray([0, 0.]))) | |
| 19 def test1(self): | |
| 20 class Dummy(object): | |
| 21 def make_node(self, a): | |
| 22 return [xlogx(a)[:,2]] | |
| 23 TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4)]) | |
| 24 | |
| 25 | |
| 26 if __name__ == '__main__': | |
| 27 unittest.main() |