fixed AdvancedIncSubtensor[1] tests for local_incsubtensor_of_zeros optimization

theano/tensor/tests/test_opt.py

@@ -2522,7 +2522,7 @@ class Test_alloc_zero(unittest.TestCase):
         x = tensor.matrix()
         y = tensor.matrix()
         y0 = tensor.zeros_like(y)
-        z = tensor.inc_subtensor(x[[0, 1, 0, 1], [0, 0, 1, 1]], y0)
+        z = tensor.inc_subtensor(x[[[0, 0], [1, 1]], [[0, 1], [0, 1]]], y0)
         f = theano.function([x, y], z, mode=self.mode)
         assert numpy.all([not isinstance(x.op, tensor.AdvancedIncSubtensor)
                           for x in f.maker.fgraph.toposort()])
@@ -2531,7 +2531,7 @@ class Test_alloc_zero(unittest.TestCase):
         x = tensor.matrix()
         y = tensor.matrix()
         y0 = tensor.zeros_like(y)
-        z = tensor.inc_subtensor(x[[0, 1, 0, 1], [0, 0, 1, 1]], y0.T)
+        z = tensor.inc_subtensor(x[[[0, 0], [1, 1]], [[0, 1], [0, 1]]], y0.T)
         f = theano.function([x, y], z, mode=mode_opt)
         assert numpy.all([not isinstance(x.op, tensor.AdvancedIncSubtensor)
                           for x in f.maker.fgraph.toposort()])
@@ -2540,7 +2540,7 @@ class Test_alloc_zero(unittest.TestCase):
         x = tensor.matrix()
         y0 = tensor.constant(numpy.asarray(numpy.zeros_like((2, 2)),
                                            dtype=config.floatX))
-        z = tensor.inc_subtensor(x[[0, 1, 0, 1], [0, 0, 1, 1]], y0)
+        z = tensor.inc_subtensor(x[[[0, 0], [1, 1]], [[0, 1], [0, 1]]], y0)
         f = theano.function([x], z, mode=self.mode)
         assert numpy.all([not isinstance(x.op, tensor.AdvancedIncSubtensor)
                           for x in f.maker.fgraph.toposort()])