test_elemwise1 passes, didnt run in debugmode

__init__.py

@@ -4,3 +4,6 @@ from .var import (CudaNdarrayVariable,
     CudaNdarrayConstant,
     CudaNdarraySharedVariable,
     shared_constructor)
+
+import basic_ops
+import opt

tests/test_basic_ops.py

+import sys
 from theano.compile.sandbox.sharedvalue import shared
 from theano.compile.sandbox.pfunc import pfunc
 from theano import tensor
@@ -11,7 +12,7 @@ def test_elemwise0():
 
     a = tcn.shared_constructor(numpy.random.rand(4,4), 'a')
 
-    b = tensor.dmatrix()
+    b = tensor.fmatrix()
 
     f = pfunc([b], [], updates=[(a, a+b)])
 
@@ -27,11 +28,27 @@ def test_elemwise1():
     """ Several kinds of elemwise expressions with no broadcasting, non power-of-two shape """
 
     shape = (3,4)
-    a = tcn.shared_constructor(numpy.random.rand(*shape), 'a')
-    b = tensor.dmatrix()
-    f = pfunc([b], [], updates=[(a, a+b * tensor.exp(b**a))])
+    a = tcn.shared_constructor(numpy.random.rand(*shape)+0.5, 'a')
+    b = tensor.fmatrix()
+
     #let debugmode catch any mistakes
-    f(numpy.ones(shape))
+    print >> sys.stderr, "STARTING FUNCTION 1"
+    f = pfunc([b], [], updates=[(a, b**a)])
+    for i, node in enumerate(f.maker.env.toposort()):
+        print i, node
+    f(numpy.random.rand(*shape)+0.3)
+
+    print >> sys.stderr, "STARTING FUNCTION 2"
+    #let debugmode catch any mistakes
+    f = pfunc([b], [], updates=[(a, tensor.exp(b**a))])
+    for i, node in enumerate(f.maker.env.toposort()):
+        print i, node
+    f(numpy.random.rand(*shape)+0.3)
+
+    print >> sys.stderr, "STARTING FUNCTION 3"
+    #let debugmode catch any mistakes
+    f = pfunc([b], [], updates=[(a, a+b * tensor.exp(b**a))])
+    f(numpy.random.rand(*shape)+0.3)
 
 def test_elemwise2():
     """ Several kinds of elemwise expressions with dimension permutations """
@@ -41,6 +58,11 @@ def test_elemwise2():
     b = tensor.Tensor(dtype='float32', broadcastable=[0]*len(shape))()
     f = pfunc([b], [], updates=[(a, (a+b).dimshuffle([2,0,3,1]) *
         tensor.exp(b**a).dimshuffle([2,0,3,1]))])
+    has_elemwise = False
+    for i, node in enumerate(f.maker.env.toposort()):
+        print i, node
+        has_elemwise = has_elemwise or isinstance(node.op, tensor.Elemwise)
+    assert not has_elemwise
     #let debugmode catch errors
     f(numpy.ones(shape))
 
@@ -54,3 +76,4 @@ def test_elemwise3():
         b**a).dimshuffle([2,0,3,1]))])
     #let debugmode catch errors
     f(numpy.ones(6))
+