Handle except (C1, C2, ...), e

theano/gof/vm.py

@@ -660,7 +660,7 @@ try:
             # skip VM.__init__
 except ImportError:
     pass
-except (OSError, theano.gof.cmodule.MissingGXX), e:
+except (OSError, theano.gof.cmodule.MissingGXX) as e:
     # OSError happens when g++ is not installed.  In that case, we
     # already changed the default linker to something else then CVM.
     # Currently this is the py linker.

theano/sandbox/cuda/__init__.py

@@ -413,7 +413,7 @@ def use(device,
                         " crash when we try to use features"
                         " that your GPU does not support.")
 
-        except (EnvironmentError, ValueError, RuntimeError), e:
+        except (EnvironmentError, ValueError, RuntimeError) as e:
             _logger.error(("ERROR: Not using GPU."
                            " Initialisation of device %s failed:\n%s"),
                           str(device), e)
@@ -448,7 +448,7 @@ def use(device,
             # in case the device if just gpu,
             # we check that the driver init it correctly.
             cuda_ndarray.cuda_ndarray.CudaNdarray.zeros((5, 5))
-        except (Exception, NameError), e:
+        except (Exception, NameError) as e:
             # NameError when no gpu present as cuda_ndarray is not loaded.
             e.args += ("ERROR: GPU forced but failed. ",)
             raise

theano/tensor/opt.py

@@ -289,7 +289,7 @@ def inplace_elemwise_optimizer_op(OP):
                             fgraph.validate()
                             chk = fgraph.checkpoint()
                             nb_change_no_validate = 0
-                    except (ValueError, TypeError, InconsistencyError), e:
+                    except (ValueError, TypeError, InconsistencyError) as e:
                         if check_each_change != 1 and not raised_warning:
                             print >> sys.stderr, (
                                     "Some inplace optimization was not "
@@ -3309,7 +3309,7 @@ if 0:
             def tmp(thing):
                 try:
                     return T.get_scalar_constant_value(thing)
-                except (TypeError, ValueError), e:
+                except (TypeError, ValueError) as e:
                     print e, thing.owner.inputs[0]
                     return None
             print 'LOCAL SUM EMPTY', [tmp(s) for s in y_shape]