Fix new instance of 'int' in abstract_conv.

theano/tensor/nnet/abstract_conv.py

@@ -238,17 +238,17 @@ def conv2d_grad_wrt_inputs(output_grad,
     # checking the type of input_shape
     for dim in [0, 1]:
         assert isinstance(input_shape[dim], (theano.tensor.TensorConstant,
-                                             int, type(None)))
+                                             integer_types, type(None)))
     for dim in [2, 3]:
         assert isinstance(input_shape[dim], (theano.tensor.TensorVariable,
                                              theano.tensor.TensorConstant,
-                                             int))
+                                             integer_types))
 
     # checking the type of filter_shape
     if filter_shape is not None:
         for dim in [0, 1, 2, 3]:
             assert isinstance(filter_shape[dim], (theano.tensor.TensorConstant,
-                                                  int, type(None)))
+                                                  integer_types, type(None)))
 
     # setting the last two dimensions of input_shape to None, if
     # the type of these dimensions is TensorVariable.
@@ -361,17 +361,17 @@ def conv2d_grad_wrt_weights(input,
     # checking the type of filter_shape
     for dim in [0, 1]:
         assert isinstance(filter_shape[dim], (theano.tensor.TensorConstant,
-                                              int, type(None)))
+                                              integer_types, type(None)))
     for dim in [2, 3]:
         assert isinstance(filter_shape[dim], (theano.tensor.TensorVariable,
                                               theano.tensor.TensorConstant,
-                                              int))
+                                              integer_types))
 
     # checking the type of input_shape
     if input_shape is not None:
         for dim in [0, 1, 2, 3]:
             assert isinstance(input_shape[dim], (theano.tensor.TensorConstant,
-                                                 int, type(None)))
+                                                 integer_types, type(None)))
 
     # setting the last two dimensions of filter_shape to None, if
     # the type of these dimensions is TensorVariable.