def test_mixed_dtype(self):
x1 = tensor.vector('x1', dtype='int32')
x2 = tensor.vector('x2', dtype=self.dtype)
y1 = tensor.vector('y1', dtype='int32')
y2 = tensor.vector('y2', dtype=self.dtype)
c = tensor.iscalar('c')
f = theano.function([c, x1, x2, y1, y2],
ifelse(c, (x1, x2), (y1, y2)), mode=self.mode)
self.assertFunctionContains1(f, self.get_ifelse(2))
rng = numpy.random.RandomState(utt.fetch_seed())
xlen = rng.randint(200)
ylen = rng.randint(200)
vx1 = numpy.asarray(rng.uniform(size=(xlen,)) * 3, 'int32')
vx2 = numpy.asarray(rng.uniform(size=(xlen,)), self.dtype)
vy1 = numpy.asarray(rng.uniform(size=(ylen,)) * 3, 'int32')
vy2 = numpy.asarray(rng.uniform(size=(ylen,)), self.dtype)
o1, o2 = f(1, vx1, vx2, vy1, vy2)
assert numpy.allclose(vx1, o1)
assert numpy.allclose(vx2, o2)
o1, o2 = f(0, vx1, vx2, vy1, vy2)
assert numpy.allclose(vy1, o1)
assert numpy.allclose(vy2, o2)
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