Merge pull request #1623 from nouiz/py33

doc/introduction.txt

@@ -193,10 +193,10 @@ Here is the state of that vision as of October 1st, 2012 (after Theano release
 * The cvm linker allows lazy evaluation. It is the current default linker.
 
   * How to have `DebugMode` check it? Right now, DebugMode checks the computation non-lazily.
-  * The profiler used by cvm is less complete than `ProfileMode`.
 
 * SIMD parallelism on the CPU comes from the compiler.
-* Multi-core parallelism is only supported by Conv2d. If the external BLAS implementation supports it,
+* Multi-core parallelism is only supported by Conv2d(not by default).
+  If the external BLAS implementation supports it,
   there are also, gemm, gemv and ger that are parallelized.
 * No multi-node support.
 * Many, but not all NumPy functions/aliases are implemented.

theano/tensor/var.py

@@ -605,6 +605,10 @@ class TensorConstantSignature(tuple):
             return self._sum
         except AttributeError:
             self._sum = self.no_nan.sum()
+            # The following 2 lines are needede as in Python 3.3 with NumPy
+            # 1.7.1, numpy.ndarray and numpy.memmap aren't hashable.
+            if type(self._sum) is numpy.memmap:
+                self._sum = numpy.asarray(self._sum).sum()
             if self.has_nan and self.no_nan.mask.all():
                 # In this case the sum is not properly computed by numpy.
                 self._sum = 0