Simplification

theano/gpuarray/tests/test_abstractconv.py

@@ -26,7 +26,7 @@ class TestDnnConv2d(test_abstract_conv.BaseTestConv2d):
             raise SkipTest(dnn_available.msg)
         mode = mode_with_gpu
 
-        o = self.get_output_shape(i, f, s, b, (1,1))
+        o = self.get_output_shape(i, f, s, b, (1, 1))
         self.run_fwd(inputs_shape=i, filters_shape=f, subsample=s,
                      verify_grad=True, mode=mode,
                      provide_shape=provide_shape, border_mode=b,

theano/tensor/nnet/abstract_conv.py

@@ -67,7 +67,7 @@ def get_conv_output_shape(image_shape, kernel_shape,
     bsize, imshp = image_shape[0], image_shape[2:]
     nkern, kshp = kernel_shape[0], kernel_shape[2:]
     if not filter_dilation:
-        filter_dilation = numpy.ones(numpy.asarray(subsample).shape, dtype='int')
+        filter_dilation = numpy.ones(len(subsample), dtype='int')
     if isinstance(border_mode, tuple):
         out_shp = tuple(get_conv_shape_1axis(
             imshp[i], kshp[i], border_mode[i],