Copied GpuAdvancedIncSubtensor1() and GpuAdvancedIncSubtensor1_dev() ops and…

theano/sandbox/gpuarray/tests/test_subtensor.py

@@ -29,3 +29,24 @@ class G_subtensor(T_subtensor):
         # GPU opt can't run in fast_compile only.
         self.fast_compile = False
         assert self.sub == GpuSubtensor
+
+
+def test_advinc_subtensor1():
+    """ Test the second case in the opt local_gpu_advanced_incsubtensor1 """
+    for shp in [(3, 3), (3, 3, 3)]:
+        shared = cuda.shared_constructor
+        xval = numpy.arange(numpy.prod(shp), dtype='float32').reshape(shp) + 1
+        yval = numpy.empty((2,) + shp[1:], dtype='float32')
+        yval[:] = 10
+        x = shared(xval, name='x')
+        y = T.tensor(dtype='float32',
+                     broadcastable=(False,) * len(shp),
+                     name='y')
+        expr = T.advanced_inc_subtensor1(x, y, [0, 2])
+        f = theano.function([y], expr, mode=mode_with_gpu)
+        assert sum([isinstance(node.op, cuda.GpuAdvancedIncSubtensor1)
+                    for node in f.maker.fgraph.toposort()]) == 1
+        rval = f(yval)
+        rep = xval.copy()
+        rep[[0, 2]] += yval
+        assert numpy.allclose(rval, rep)