Fix code revice comments and add a message.

theano/compile/profiling.py

@@ -626,7 +626,7 @@ class ProfileStats(object):
                     v = out.type.get_size(sh)
                     sum_dense += v
                 else:
-                    v = "Unknow"
+                    v = "Unknown"
 
                 var_mem[out] = v
                 fct_memory[node.fgraph][node].append(v)
@@ -778,12 +778,16 @@ class ProfileStats(object):
         else:
             p = "(%.2f%%)" % (float(sum_remaining) / size_sum_dense * 100)
         print >> file,  (
-            '   ... (remaining %i Apply account for %4dB/%dB (%s) of'
-            ' the Apply with dense outputs sizes)') % (max(0, len(node_mem) - N),
+            '   ... (remaining %i Apply account for %4dB/%dB (%s) of the'
+            ' Apply with dense outputs sizes)') % (max(0, len(node_mem) - N),
                                                        sum_remaining,
                                                        size_sum_dense, p
                                                    )
         print >> file, ''
+        if N == 0:
+            print >> file, ('    All Apply node have outputs size that take'
+                            ' less then %dB.' %
+                            config.profiling.min_memory_size)
         print >> file,  (
             "    <created/inplace/view> is taked from the op declaration.")
         print >> file,  ("    Apply nodes marked 'inplace' or 'view' may"

theano/sandbox/cuda/type.py

@@ -421,7 +421,10 @@ class CudaNdarrayType(Type):
         return obj.shape
 
     def get_size(self, shape_info):
-        return numpy.prod(shape_info, dtype=int) * numpy.dtype(self.dtype).itemsize
+        if shape_info:
+            return numpy.prod(shape_info) * numpy.dtype(self.dtype).itemsize
+        else:  # a scalar
+            return numpy.dtype(self.dtype).itemsize
 
 theano.compile.ops.expandable_types += (CudaNdarrayType,)
 

theano/tensor/basic.py

@@ -1209,8 +1209,10 @@ class TensorType(Type):
         :return: the number of bytes taken by the object described in
           shape_info.
         """
-        return numpy.prod(shape_info,
-                          dtype=int) * numpy.dtype(self.dtype).itemsize
+        if shape_info:
+            return numpy.prod(shape_info) * numpy.dtype(self.dtype).itemsize
+        else:  # a scalar
+            return numpy.dtype(self.dtype).itemsize
 theano.compile.ops.expandable_types += (TensorType,)
 
 # Register TensorType C code for ViewOp.