More explicit

.hgignore

@@ -7,6 +7,7 @@ cutils_ext.cpp
 html
 *.o
 pdf
+pull.sh
 *.pyc
 *.so
 *.sw?

_test_tensor.py

@@ -493,10 +493,7 @@ class _testCase_matinv(unittest.TestCase):
         # Sum of squared errors
         ssdiff = sum((diff**2.0))
 
-        # May be able to abbreviate this by assuming default parameter
-        # TODO: Test that default works
-        g_b = gradient.grad(ssdiff, b, astensor(numpy.ones(1),name='g_cost'))
-        #g_b = gradient.grad(ssdiff, b)     # This should be the abbreviated version
+        g_b = gradient.grad(ssdiff, b)
 
         # compilation to function
         # [a,b] are the inputs, [ssdiff,g_b] are the outputs

tensor.py

@@ -107,7 +107,7 @@ def _assert_same_shapes(x, *rest):
     shape = x.shape
     for other in rest:
         if other.shape != shape:
-            raise ValueError(_assert_same_shapes.E_shape)
+            raise ValueError(_assert_same_shapes.E_shape, shape, other.shape)
 _assert_same_shapes.E_shape = "The dimensions of the inputs do not match."
 
 def _assert_tensor_scalar(x, a):
@@ -470,7 +470,11 @@ subtensor = _constructor(Subtensor)
 # Elemwise #
 class AddElemwise(_Elemwise):
     def impl(self, x, y):
-        _assert_same_shapes(x, y)
+        try:
+            _assert_same_shapes(x, y)
+        except Exception, e:
+            print '------ ERROR HERE'
+            raise
         return x + y
     def grad(self, (x, y), gz):
         return gz, gz