Upgraded test_xlogx.py

theano/tensor/tests/_test_xlogx.py → theano/tensor/tests/test_xlogx.py

-from xlogx import xlogx
+from theano.tensor.xlogx import xlogx
 
 import unittest
-from theano import compile
-from theano import gradient
 
+import theano
 from theano.tensor import as_tensor
-import theano._test_tensor as TT
+import test_basic as TT
 
 import random
 import numpy.random
@@ -14,13 +13,13 @@ class T_XlogX(unittest.TestCase):
     def test0(self):
         x = as_tensor([1, 0])
         y = xlogx(x)
-        y = compile.eval_outputs([y])
-        self.failUnless(numpy.all(y == numpy.asarray([0, 0.])))
+        f = theano.function([], [y])
+        self.failUnless(numpy.all(f() == numpy.asarray([0, 0.])))
     def test1(self):
-        class Dummy(object):
-            def make_node(self, a):
-                return [xlogx(a)[:,2]]
-        TT.verify_grad(self, Dummy(), [numpy.random.rand(3,4)])
+#        class Dummy(object):
+#            def make_node(self, a):
+#                return [xlogx(a)[:,2]]
+        TT.verify_grad(self, xlogx, [numpy.random.rand(3,4)])
 
 
 if __name__ == '__main__':