Convert border_mode=(0,0) to valid.

theano/sandbox/cuda/dnn.py

@@ -1145,6 +1145,8 @@ def dnn_conv(img, kerns, border_mode='valid', subsample=(1, 1),
         :attr:`config.dnn.conv.precision`.
 
     """
+    if border_mode == (0, 0):
+        border_mode = 'valid'
 
     # Establish dtype in which to perform the computation of the convolution
     if precision is None:
@@ -1255,6 +1257,8 @@ def dnn_conv3d(img, kerns, border_mode='valid', subsample=(1, 1, 1),
     :warning: dnn_conv3d only works with cuDNN library 3.0
 
     """
+    if border_mode == (0, 0):
+        border_mode = 'valid'
 
     # Establish dtype in which to perform the computation of the convolution
     if precision is None:

theano/tensor/nnet/abstract_conv.py

@@ -370,6 +370,8 @@ class BaseAbstractConv2d(Op):
         if isinstance(border_mode, tuple):
             pad_h, pad_w = map(int, border_mode)
             border_mode = (pad_h, pad_w)
+        if border_mode == (0, 0):
+            border_mode = 'valid'
         if not ((isinstance(border_mode, tuple) and min(border_mode) >= 0) or
                 border_mode in ('valid', 'full', 'half')):
             raise ValueError(