# HG changeset patch
# User Joseph Turian <turian@iro.umontreal.ca>
# Date 1236715132 14400
# Node ID d8ad0ce259a6fd12f2098402fc9634af7a2eec4d
# Parent  12b1b09ffd2b32349b0c507331b736d00c0453de
Added a gradient test for nlpoisson.

diff -r 12b1b09ffd2b -r d8ad0ce259a6 pylearn/algorithms/sandbox/test_cost.py
--- a/pylearn/algorithms/sandbox/test_cost.py	Mon Mar 09 03:11:20 2009 -0400
+++ b/pylearn/algorithms/sandbox/test_cost.py	Tue Mar 10 15:58:52 2009 -0400
@@ -30,12 +30,13 @@
         f = T.function([],o)
         self.failUnless(f() - 33751.7816277 < 1e-5)
 
-#    def test_gradient(self):
-#        target = TT.as_tensor([0, 0, 1, 1, 2, 2, 100, 100])
-#        output = TT.as_tensor([0., 1, 1., 0, 1, 0, 5, 1])
-#        o = cost.nlpoisson(target, output)
-#        f = T.function([],o)
-#        self.failUnless(f() - 33751.7816277 < 1e-5)
+    def test_gradient(self):
+        target = TT.as_tensor([0, 0, 1, 1, 2, 2, 100, 100])
+        output = TT.as_tensor([0., 1, 1., 0, 1, 0, 5, 1])
+        loss = cost.nlpoisson(target, output)
+        (goutput) = TT.grad(loss, [output])
+        f = T.function([], goutput)
+        self.failUnless(f() - 33751.7816277 < 1e-5)
 
 if __name__ == '__main__':
     unittest.main()