Fix int64 casting directly in make_node() method.

theano/gpuarray/dnn.py

@@ -385,8 +385,9 @@ class GpuDnnConvDesc(COp):
         self.precision = precision
 
     def make_node(self, kern_shape):
-        if kern_shape.type.ndim != 1 or kern_shape.type.dtype != 'int64':
+        if kern_shape.type.ndim != 1 or kern_shape.dtype not in theano.tensor.basic.int_dtypes:
             raise TypeError('kern must be an int64 1D shape tensor')
+        kern_shape = theano.tensor.basic.cast(kern_shape, 'int64')
 
         node = Apply(self, [kern_shape],
                      [CDataType("cudnnConvolutionDescriptor_t",

theano/gpuarray/tests/test_dnn.py

@@ -657,7 +657,7 @@ class TestDnnInferShapes(utt.InferShapeTester):
         )
 
         kerns_vals = np.zeros(kerns_shape, dtype=theano.config.floatX)
-        kerns_shape = theano.shared(np.asarray(kerns_shape, dtype=np.int64))
+        kerns_shape = theano.shared(np.asarray(kerns_shape))
         desc = dnn.GpuDnnConvDesc(
             border_mode=border_mode,
             subsample=subsample,