added test.

theano/tensor/nnet/tests/test_sigm.py

@@ -86,12 +86,36 @@ class T_sigmoid_opts(unittest.TestCase):
 
 class T_softplus_opts(unittest.TestCase):
     def setUp(self):
+        if theano.config.mode == 'FAST_COMPILE':
+            m = theano.compile.mode.get_mode('FAST_RUN')
+        else:
+            m = theano.compile.mode.get_default_mode().excluding('local_elemwise_fusion')
+        self.m = m
         utt.seed_rng()
-#    def test_logsigm_to_softplus(self):
-#        pass
+    def test_logsigm_to_softplus(self):
+        x = T.vector()
+    
+        out = T.log(sigmoid(x))
+        f = theano.function([x],out,mode=self.m)
+        topo = f.maker.env.toposort()
+        print topo
+        assert len(topo)==3
+        assert isinstance(topo[0].op.scalar_op, theano.scalar.Neg)
+        assert isinstance(topo[1].op.scalar_op, theano.tensor.nnet.sigm.ScalarSoftplus)
+        assert isinstance(topo[2].op.scalar_op, theano.scalar.Neg)
+        f(numpy.random.rand(54))
+
+    def test_log1msigm_to_softplus(self):
+        x = T.vector()
+    
+        out = T.log(1-sigmoid(x))
+        f = theano.function([x],out,mode=self.m)
+        topo = f.maker.env.toposort()
+        assert len(topo)==2
+        assert isinstance(topo[0].op.scalar_op, theano.tensor.nnet.sigm.ScalarSoftplus)
+        assert isinstance(topo[1].op.scalar_op, theano.scalar.Neg)
+        f(numpy.random.rand(54))
         
-#    def test_log1msigm_to_softplus(self):
-#        pass
     def test_log1pexp_to_softplus(self):
         m = theano.config.mode
         if m == 'FAST_COMPILE':
@@ -100,7 +124,8 @@ class T_softplus_opts(unittest.TestCase):
         x = T.vector()
     
         out = T.log(1+T.exp(x))
-        f = theano.function([x],out)
+        f = theano.function([x],out,mode=self.m)
         topo = f.maker.env.toposort()
         assert len(topo)==1
         assert isinstance(topo[0].op.scalar_op,theano.tensor.nnet.sigm.ScalarSoftplus)
+        f(numpy.random.rand(54))