better error msg when not aligned inputs to a c code from an op.

theano/tensor/basic.py

@@ -988,8 +988,20 @@ class TensorType(Type):
         if (!PyArray_ISALIGNED(py_%(name)s)) {
             PyErr_Format(PyExc_NotImplementedError,
                          "expected an aligned array of type %%d "
-                         "(%(type_num)s), got non-aligned array of type %%d",
-                         %(type_num)s, type_num_%(name)s);
+                         "(%(type_num)s), got non-aligned array of type %%d"
+                         " with %%d dimensions, with 2 last dims %%d, %%d"
+                         " and 2 last strides %%d, %%d.",
+                         %(type_num)s, type_num_%(name)s,
+                         PyArray_NDIM(py_%(name)s),
+                         PyArray_NDIM(py_%(name)s) >= 2 ?
+        PyArray_DIMS(py_%(name)s)[PyArray_NDIM(py_%(name)s)-2] : -1,
+                         PyArray_NDIM(py_%(name)s) >= 1 ?
+        PyArray_DIMS(py_%(name)s)[PyArray_NDIM(py_%(name)s)-1] : -1,
+                         PyArray_NDIM(py_%(name)s) >= 2 ?
+        PyArray_STRIDES(py_%(name)s)[PyArray_NDIM(py_%(name)s)-2] : -1,
+                         PyArray_NDIM(py_%(name)s) >= 1 ?
+        PyArray_STRIDES(py_%(name)s)[PyArray_NDIM(py_%(name)s)-1] : -1
+        );
             %(fail)s
         }
         // This is a TypeError to be consistent with DEBUG_MODE
@@ -1043,7 +1055,7 @@ class TensorType(Type):
     def c_code_cache_version(self):
         scalar_version = scal.Scalar(self.dtype).c_code_cache_version()
         if scalar_version:
-            return (5,) + scalar_version
+            return (6,) + scalar_version
         else:
             return ()